Commit
•
ede9146
1
Parent(s):
275c56e
Upload folder using huggingface_hub
Browse files- README.md +143 -0
- benchmarking.png +0 -0
- benchmarking_table.png +0 -0
- config.json +41 -0
- generation_config.json +6 -0
- model.safetensors.index.json +1002 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
ADDED
|
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mixtral-8x7B-v0.1
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
## Introduction
|
| 7 |
+
|
| 8 |
+
Cerebrum 8x7b is a large language model (LLM) created specifically for reasoning tasks. It is based on the Mixtral 8x7b model. Similar to its smaller version, [Cerebrum 7b](https://huggingface.co/AetherResearch/Cerebrum-1.0-7b), it is fine-tuned on a small custom dataset of native chain of thought data and further improved with targeted RLHF (tRLHF), a novel technique for sample-efficient LLM alignment. Unlike numerous other recent fine-tuning approaches, our training pipeline includes under 5000 training prompts and even fewer labeled datapoints for tRLHF.
|
| 9 |
+
|
| 10 |
+
Native chain of thought approach means that Cerebrum is trained to devise a tactical plan before tackling problems that require thinking. For brainstorming, knowledge intensive, and creative tasks Cerebrum will typically omit unnecessarily verbose considerations.
|
| 11 |
+
|
| 12 |
+
Cerebrum 8x7b offers competitive performance to Gemini 1.0 Pro and GPT-3.5 Turbo on a range of tasks that require reasoning.
|
| 13 |
+
|
| 14 |
+
## Benchmarking
|
| 15 |
+
An overview of Cerebrum 8x7b performance compared to Gemini 1.0 Pro, GPT-3.5 and Mixtral 8x7b on selected benchmarks:
|
| 16 |
+
<img src="benchmarking.png" alt="benchmarking_chart" width="750"/>
|
| 17 |
+
<img src="benchmarking_table.png" alt="benchmarking_table" width="750"/>
|
| 18 |
+
|
| 19 |
+
Evaluation details:
|
| 20 |
+
1) ARC-C: all models evaluated zero-shot. Gemini 1.0 Pro and GPT-3.5 (gpt-3.5-turbo-0125) evaluated via API, reported numbers taken for Mixtral 8x7b.
|
| 21 |
+
2) HumanEval: all models evaluated zero-shot, reported numbers used.
|
| 22 |
+
3) GSM8k: Cerebrum, GPT-3.5, and Mixtral 8x7b evaluated with maj@8, Gemini evaluated with maj@32. GPT-3.5 (gpt-3.5-turbo-0125) evaluated via API, reported numbers taken for Gemini 1.0 Pro and Mixtral 8x7b.
|
| 23 |
+
4) MATH: Cerebrum evaluated 0-shot. GPT-3.5 and Gemini evaluated 4-shot, Mixtral 8x7b maj@4. Reported numbers used.
|
| 24 |
+
|
| 25 |
+
## Usage
|
| 26 |
+
For optimal performance, Cerebrum should be prompted with an Alpaca-style template that requests the description of the "thought process". Here is what a conversation should look like from the model's point of view:
|
| 27 |
+
```
|
| 28 |
+
<s>A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 29 |
+
User: Are you conscious?
|
| 30 |
+
AI:
|
| 31 |
+
```
|
| 32 |
+
|
| 33 |
+
This prompt is also available as a chat template. Here is how you could use it:
|
| 34 |
+
```
|
| 35 |
+
messages = [
|
| 36 |
+
{'role': 'user', 'content': 'What is self-consistency decoding?'},
|
| 37 |
+
{'role': 'assistant', 'content': 'Self-consistency decoding is a technique used in natural language processing to improve the performance of language models. It works by generating multiple outputs for a given input and then selecting the most consistent output based on a set of criteria.'},
|
| 38 |
+
{'role': 'user', 'content': 'Why does self-consistency work?'}
|
| 39 |
+
]
|
| 40 |
+
|
| 41 |
+
input = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors='pt')
|
| 42 |
+
|
| 43 |
+
with torch.no_grad():
|
| 44 |
+
out = model.generate(input_ids=input, max_new_tokens=100, do_sample=False)
|
| 45 |
+
```
|
| 46 |
+
|
| 47 |
+
The model ends its turn by generating the EOS token. Importantly, this token should be removed from the model answer in a multi-turn dialogue.
|
| 48 |
+
|
| 49 |
+
Cerebrum can be operated at very low temperatures (and specifically temperature 0), which improves performance on tasks that require precise answers. The alignment should be sufficient to avoid repetitions in most cases without a repetition penalty.
|
| 50 |
+
|
| 51 |
+
## Examples
|
| 52 |
+
Some of the model output examples:
|
| 53 |
+
|
| 54 |
+
The model is trained to first "think aloud about the solution", before solving the problem itself:
|
| 55 |
+
~~~~
|
| 56 |
+
A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 57 |
+
User: Find the longest increasing subarray of the given array.
|
| 58 |
+
|
| 59 |
+
The function signature should be def longest_increasing_subarray(vals: List[int]).
|
| 60 |
+
|
| 61 |
+
Write the code in Python.
|
| 62 |
+
AI: To find the longest increasing subarray of the given array, we could start by considering the first element of the array as the start of the subarray. Then, we could iterate through the remaining elements of the array and check if each element is greater than the last element of the current subarray. If it is, we could add it to the subarray. If it is not, we could save the length of the current subarray and start a new subarray with the current element. We could repeat this process until we reach the end of the array. Then, we could return the longest subarray found.
|
| 63 |
+
|
| 64 |
+
Here is an example:
|
| 65 |
+
```python
|
| 66 |
+
def longest_increasing_subarray(vals: List[int]):
|
| 67 |
+
if len(vals) == 0:
|
| 68 |
+
return []
|
| 69 |
+
|
| 70 |
+
longest_subarray = [vals[0]]
|
| 71 |
+
current_subarray = [vals[0]]
|
| 72 |
+
|
| 73 |
+
for i in range(1, len(vals)):
|
| 74 |
+
if vals[i] > current_subarray[-1]:
|
| 75 |
+
current_subarray.append(vals[i])
|
| 76 |
+
else:
|
| 77 |
+
if len(current_subarray) > len(longest_subarray):
|
| 78 |
+
longest_subarray = current_subarray
|
| 79 |
+
current_subarray = [vals[i]]
|
| 80 |
+
|
| 81 |
+
if len(current_subarray) > len(longest_subarray):
|
| 82 |
+
longest_subarray = current_subarray
|
| 83 |
+
|
| 84 |
+
return longest_subarray
|
| 85 |
+
```
|
| 86 |
+
~~~~
|
| 87 |
+
|
| 88 |
+
Usual unprompted chain of thought example for mathematical problem solving:
|
| 89 |
+
~~~~
|
| 90 |
+
A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 91 |
+
User: Out of six apples three are bad. What is the probability that at least one apple will be bad when selecting two apples out of them?
|
| 92 |
+
AI: To find the probability that at least one apple will be bad when selecting two apples out of them, we need to consider the possible outcomes of the selection. There are two cases: either one of the selected apples is bad, or both of them are bad.
|
| 93 |
+
|
| 94 |
+
The probability that one of the selected apples is bad is equal to the probability that the first apple is bad and the second apple is good, plus the probability that the first apple is good and the second apple is bad. Since three out of six apples are bad, the probability that the first apple is bad is $3/6 = 1/2$. The probability that the second apple is good, given that the first apple is bad, is equal to $3/5$, since there are three good apples left out of five remaining apples. Therefore, the probability that the first apple is bad and the second apple is good is $1/2 \cdot 3/5 = 3/10$. Similarly, the probability that the first apple is good and the second apple is bad is also $3/10$. Therefore, the probability that one of the selected apples is bad is $3/10 + 3/10 = 6/10 = 3/5$.
|
| 95 |
+
|
| 96 |
+
The probability that both of the selected apples are bad is equal to the probability that the first apple is bad and the second apple is bad. Since there are three bad apples out of six, the probability that the first apple is bad is $3/6 = 1/2$. The probability that the second apple is bad, given that the first apple is bad, is equal to $2/5$, since there are two bad apples left out of five remaining apples. Therefore, the probability that both of the selected apples are bad is $1/2 \cdot 2/5 = 2/10 = 1/5$.
|
| 97 |
+
|
| 98 |
+
To find the probability that at least one apple will be bad, we add the probabilities of the two cases: the probability that one of the selected apples is bad and the probability that both of the selected apples are bad. Therefore, the probability that at least one apple will be bad is $3/5 + 1/5 = 4/5$. The answer is 4/5.
|
| 99 |
+
~~~~
|
| 100 |
+
|
| 101 |
+
Similar example for a simple physical task:
|
| 102 |
+
~~~~
|
| 103 |
+
A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 104 |
+
User: The apple falls from a tree of height 10m. When will it reach the earth if there is no air resistance?
|
| 105 |
+
AI: To find out when the apple will reach the earth, we can use the equation of motion for a freely falling object. The equation of motion for a freely falling object is $s = ut + \frac{1}{2}at^2$, where $s$ is the displacement, $u$ is the initial velocity, $a$ is the acceleration due to gravity, and $t$ is the time taken. In this case, the initial velocity of the apple is 0, and the acceleration due to gravity is 9.8 m/s^2. Therefore, we can write the equation of motion as $s = \frac{1}{2}at^2$. Substituting the values, we get $10 = \frac{1}{2} \cdot 9.8 \cdot t^2$. Solving for $t$, we get $t = \sqrt{\frac{20}{9.8}} = \sqrt{2.04} = 1.43$ seconds. Therefore, the apple will reach the earth in 1.43 seconds. The answer is 1.43 seconds.
|
| 106 |
+
~~~~
|
| 107 |
+
|
| 108 |
+
Simple calculus problem, note that the model quietly corrects itself after proposing factoring out of $n$ from the numerator, which is inefficient in this case.
|
| 109 |
+
~~~~
|
| 110 |
+
A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 111 |
+
User: What is $\lim_{n \to \infty} \frac{(n + 3) \cdot \sqrt{n}}{(n/2 - 1)^2}$?
|
| 112 |
+
AI: To find the limit of $\frac{(n + 3) \cdot \sqrt{n}}{(n/2 - 1)^2}$ as $n$ approaches infinity, we can start by simplifying the expression. We can factor out $n$ from the numerator and write $(n + 3) \cdot \sqrt{n} = n \cdot \sqrt{n} + 3 \cdot \sqrt{n}$. We can also write $(n/2 - 1)^2 = n^2/4 - n + 1$. Therefore, we can write the limit as $\lim_{n \to \infty} \frac{n \cdot \sqrt{n} + 3 \cdot \sqrt{n}}{n^2/4 - n + 1}$.
|
| 113 |
+
|
| 114 |
+
Now, we can consider the behavior of each term in the numerator and denominator as $n$ approaches infinity. As $n$ approaches infinity, $n \cdot \sqrt{n}$ will grow much faster than $3 \cdot \sqrt{n}$, so we can ignore the $3 \cdot \sqrt{n}$ term in the numerator. Similarly, as $n$ approaches infinity, $n^2/4$ will grow much faster than $n$ and $1$, so we can ignore the $n$ and $1$ terms in the denominator. Therefore, we can write the limit as $\lim_{n \to \infty} \frac{n \cdot \sqrt{n}}{n^2/4} = \lim_{n \to \infty} \frac{4 \cdot n \cdot \sqrt{n}}{n^2} = \lim_{n \to \infty} \frac{4 \cdot \sqrt{n}}{n} = \lim_{n \to \infty} \frac{4}{\sqrt{n}} = 0$.
|
| 115 |
+
|
| 116 |
+
Therefore, the limit of $\frac{(n + 3) \cdot \sqrt{n}}{(n/2 - 1)^2}$ as $n$ approaches infinity is 0. The answer is 0.
|
| 117 |
+
~~~~
|
| 118 |
+
|
| 119 |
+
Example of a simple proof. The model "forgets" to prove that the matrix $B^T A B$ is symmetric. This is quite common - in fact, GPT-4 fails in a similar fashion.
|
| 120 |
+
~~~~
|
| 121 |
+
A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 122 |
+
User: If $A$ is positive semi-definite, is $B^TAB$ positive semi-definite?
|
| 123 |
+
AI: To determine whether $B^TAB$ is positive semi-definite, we need to consider the properties of $A$ and $B$. Since $A$ is positive semi-definite, we know that for any vector $x$, $x^TAx \geq 0$. To show that $B^TAB$ is positive semi-definite, we need to show that for any vector $y$, $y^TB^TABy \geq 0$.
|
| 124 |
+
|
| 125 |
+
We can write $y^TB^TABy$ as $(By)^TA(By)$. Since $A$ is positive semi-definite, we know that $(By)^TA(By) \geq 0$. Therefore, $y^TB^TABy \geq 0$ for any vector $y$, which means that $B^TAB$ is positive semi-definite. The answer is yes.
|
| 126 |
+
~~~~
|
| 127 |
+
|
| 128 |
+
Typical reaction of a model to some hallucination-inducing prompt. Instead of simply claiming that it does not know the painter George Ellster, it tries to help the user find a painter with a similar name:
|
| 129 |
+
~~~~
|
| 130 |
+
A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user's questions.
|
| 131 |
+
User: Tell me about a famous British painter George Ellster
|
| 132 |
+
AI: George Ellster is not a famous British painter. However, there are a few notable British painters with similar names:
|
| 133 |
+
|
| 134 |
+
George Elgar Hicks (1824-1914) was a Victorian-era painter known for his genre scenes and portraits.
|
| 135 |
+
|
| 136 |
+
George Frederic Watts (1817-1904) was a Victorian-era painter and sculptor known for his allegorical and symbolic works.
|
| 137 |
+
|
| 138 |
+
George Stubbs (1724-1806) was an 18th-century painter known for his equestrian and animal paintings.
|
| 139 |
+
|
| 140 |
+
George Romney (1734-1802) was an 18th-century painter known for his portraits and historical scenes.
|
| 141 |
+
|
| 142 |
+
These are just a few examples of notable British painters with similar names to George Ellster.
|
| 143 |
+
~~~~
|
benchmarking.png
ADDED
|
benchmarking_table.png
ADDED
|
config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "AetherResearch/Cerebrum-1.0-8x7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MixtralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 14336,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"model_type": "mixtral",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_experts_per_tok": 2,
|
| 17 |
+
"num_hidden_layers": 32,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"num_local_experts": 8,
|
| 20 |
+
"output_router_logits": false,
|
| 21 |
+
"rms_norm_eps": 1e-05,
|
| 22 |
+
"rope_theta": 1000000.0,
|
| 23 |
+
"router_aux_loss_coef": 0.02,
|
| 24 |
+
"sliding_window": null,
|
| 25 |
+
"tie_word_embeddings": false,
|
| 26 |
+
"torch_dtype": "float16",
|
| 27 |
+
"transformers_version": "4.39.0.dev0",
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"vocab_size": 32000,
|
| 30 |
+
"quantization_config": {
|
| 31 |
+
"quant_method": "exl2",
|
| 32 |
+
"version": "0.0.15",
|
| 33 |
+
"bits": 6.0,
|
| 34 |
+
"head_bits": 6,
|
| 35 |
+
"calibration": {
|
| 36 |
+
"rows": 100,
|
| 37 |
+
"length": 2048,
|
| 38 |
+
"dataset": "(default)"
|
| 39 |
+
}
|
| 40 |
+
}
|
| 41 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"transformers_version": "4.39.0.dev0"
|
| 6 |
+
}
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,1002 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 93405585408
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00019-of-00019.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00019.safetensors",
|
| 8 |
+
"model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00019.safetensors",
|
| 9 |
+
"model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00019.safetensors",
|
| 10 |
+
"model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00019.safetensors",
|
| 11 |
+
"model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00019.safetensors",
|
| 12 |
+
"model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00019.safetensors",
|
| 13 |
+
"model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00019.safetensors",
|
| 14 |
+
"model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00019.safetensors",
|
| 15 |
+
"model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00019.safetensors",
|
| 16 |
+
"model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00019.safetensors",
|
| 17 |
+
"model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00019.safetensors",
|
| 18 |
+
"model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00019.safetensors",
|
| 19 |
+
"model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00019.safetensors",
|
| 20 |
+
"model.layers.0.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00019.safetensors",
|
| 21 |
+
"model.layers.0.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00019.safetensors",
|
| 22 |
+
"model.layers.0.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00019.safetensors",
|
| 23 |
+
"model.layers.0.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00019.safetensors",
|
| 24 |
+
"model.layers.0.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00019.safetensors",
|
| 25 |
+
"model.layers.0.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00019.safetensors",
|
| 26 |
+
"model.layers.0.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00019.safetensors",
|
| 27 |
+
"model.layers.0.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00019.safetensors",
|
| 28 |
+
"model.layers.0.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00019.safetensors",
|
| 29 |
+
"model.layers.0.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00019.safetensors",
|
| 30 |
+
"model.layers.0.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00019.safetensors",
|
| 31 |
+
"model.layers.0.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00019.safetensors",
|
| 32 |
+
"model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00019.safetensors",
|
| 33 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00019.safetensors",
|
| 34 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00019.safetensors",
|
| 35 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00019.safetensors",
|
| 36 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00019.safetensors",
|
| 37 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00019.safetensors",
|
| 38 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00019.safetensors",
|
| 39 |
+
"model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00019.safetensors",
|
| 40 |
+
"model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00019.safetensors",
|
| 41 |
+
"model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00019.safetensors",
|
| 42 |
+
"model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00019.safetensors",
|
| 43 |
+
"model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00019.safetensors",
|
| 44 |
+
"model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00019.safetensors",
|
| 45 |
+
"model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00019.safetensors",
|
| 46 |
+
"model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00019.safetensors",
|
| 47 |
+
"model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00019.safetensors",
|
| 48 |
+
"model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00019.safetensors",
|
| 49 |
+
"model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00019.safetensors",
|
| 50 |
+
"model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00019.safetensors",
|
| 51 |
+
"model.layers.1.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00019.safetensors",
|
| 52 |
+
"model.layers.1.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00019.safetensors",
|
| 53 |
+
"model.layers.1.block_sparse_moe.experts.4.w3.weight": "model-00002-of-00019.safetensors",
|
| 54 |
+
"model.layers.1.block_sparse_moe.experts.5.w1.weight": "model-00002-of-00019.safetensors",
|
| 55 |
+
"model.layers.1.block_sparse_moe.experts.5.w2.weight": "model-00002-of-00019.safetensors",
|
| 56 |
+
"model.layers.1.block_sparse_moe.experts.5.w3.weight": "model-00002-of-00019.safetensors",
|
| 57 |
+
"model.layers.1.block_sparse_moe.experts.6.w1.weight": "model-00002-of-00019.safetensors",
|
| 58 |
+
"model.layers.1.block_sparse_moe.experts.6.w2.weight": "model-00002-of-00019.safetensors",
|
| 59 |
+
"model.layers.1.block_sparse_moe.experts.6.w3.weight": "model-00002-of-00019.safetensors",
|
| 60 |
+
"model.layers.1.block_sparse_moe.experts.7.w1.weight": "model-00002-of-00019.safetensors",
|
| 61 |
+
"model.layers.1.block_sparse_moe.experts.7.w2.weight": "model-00002-of-00019.safetensors",
|
| 62 |
+
"model.layers.1.block_sparse_moe.experts.7.w3.weight": "model-00002-of-00019.safetensors",
|
| 63 |
+
"model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00019.safetensors",
|
| 64 |
+
"model.layers.1.input_layernorm.weight": "model-00002-of-00019.safetensors",
|
| 65 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00002-of-00019.safetensors",
|
| 66 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00019.safetensors",
|
| 67 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00019.safetensors",
|
| 68 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00019.safetensors",
|
| 69 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00019.safetensors",
|
| 70 |
+
"model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00019.safetensors",
|
| 71 |
+
"model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00006-of-00019.safetensors",
|
| 72 |
+
"model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00006-of-00019.safetensors",
|
| 73 |
+
"model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00019.safetensors",
|
| 74 |
+
"model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00007-of-00019.safetensors",
|
| 75 |
+
"model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00007-of-00019.safetensors",
|
| 76 |
+
"model.layers.10.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00019.safetensors",
|
| 77 |
+
"model.layers.10.block_sparse_moe.experts.2.w2.weight": "model-00007-of-00019.safetensors",
|
| 78 |
+
"model.layers.10.block_sparse_moe.experts.2.w3.weight": "model-00007-of-00019.safetensors",
|
| 79 |
+
"model.layers.10.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00019.safetensors",
|
| 80 |
+
"model.layers.10.block_sparse_moe.experts.3.w2.weight": "model-00007-of-00019.safetensors",
|
| 81 |
+
"model.layers.10.block_sparse_moe.experts.3.w3.weight": "model-00007-of-00019.safetensors",
|
| 82 |
+
"model.layers.10.block_sparse_moe.experts.4.w1.weight": "model-00007-of-00019.safetensors",
|
| 83 |
+
"model.layers.10.block_sparse_moe.experts.4.w2.weight": "model-00007-of-00019.safetensors",
|
| 84 |
+
"model.layers.10.block_sparse_moe.experts.4.w3.weight": "model-00007-of-00019.safetensors",
|
| 85 |
+
"model.layers.10.block_sparse_moe.experts.5.w1.weight": "model-00007-of-00019.safetensors",
|
| 86 |
+
"model.layers.10.block_sparse_moe.experts.5.w2.weight": "model-00007-of-00019.safetensors",
|
| 87 |
+
"model.layers.10.block_sparse_moe.experts.5.w3.weight": "model-00007-of-00019.safetensors",
|
| 88 |
+
"model.layers.10.block_sparse_moe.experts.6.w1.weight": "model-00007-of-00019.safetensors",
|
| 89 |
+
"model.layers.10.block_sparse_moe.experts.6.w2.weight": "model-00007-of-00019.safetensors",
|
| 90 |
+
"model.layers.10.block_sparse_moe.experts.6.w3.weight": "model-00007-of-00019.safetensors",
|
| 91 |
+
"model.layers.10.block_sparse_moe.experts.7.w1.weight": "model-00007-of-00019.safetensors",
|
| 92 |
+
"model.layers.10.block_sparse_moe.experts.7.w2.weight": "model-00007-of-00019.safetensors",
|
| 93 |
+
"model.layers.10.block_sparse_moe.experts.7.w3.weight": "model-00007-of-00019.safetensors",
|
| 94 |
+
"model.layers.10.block_sparse_moe.gate.weight": "model-00006-of-00019.safetensors",
|
| 95 |
+
"model.layers.10.input_layernorm.weight": "model-00007-of-00019.safetensors",
|
| 96 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00007-of-00019.safetensors",
|
| 97 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00006-of-00019.safetensors",
|
| 98 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00006-of-00019.safetensors",
|
| 99 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00006-of-00019.safetensors",
|
| 100 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00006-of-00019.safetensors",
|
| 101 |
+
"model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00019.safetensors",
|
| 102 |
+
"model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00007-of-00019.safetensors",
|
| 103 |
+
"model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00007-of-00019.safetensors",
|
| 104 |
+
"model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00019.safetensors",
|
| 105 |
+
"model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00007-of-00019.safetensors",
|
| 106 |
+
"model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00007-of-00019.safetensors",
|
| 107 |
+
"model.layers.11.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00019.safetensors",
|
| 108 |
+
"model.layers.11.block_sparse_moe.experts.2.w2.weight": "model-00007-of-00019.safetensors",
|
| 109 |
+
"model.layers.11.block_sparse_moe.experts.2.w3.weight": "model-00007-of-00019.safetensors",
|
| 110 |
+
"model.layers.11.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00019.safetensors",
|
| 111 |
+
"model.layers.11.block_sparse_moe.experts.3.w2.weight": "model-00007-of-00019.safetensors",
|
| 112 |
+
"model.layers.11.block_sparse_moe.experts.3.w3.weight": "model-00007-of-00019.safetensors",
|
| 113 |
+
"model.layers.11.block_sparse_moe.experts.4.w1.weight": "model-00007-of-00019.safetensors",
|
| 114 |
+
"model.layers.11.block_sparse_moe.experts.4.w2.weight": "model-00007-of-00019.safetensors",
|
| 115 |
+
"model.layers.11.block_sparse_moe.experts.4.w3.weight": "model-00007-of-00019.safetensors",
|
| 116 |
+
"model.layers.11.block_sparse_moe.experts.5.w1.weight": "model-00007-of-00019.safetensors",
|
| 117 |
+
"model.layers.11.block_sparse_moe.experts.5.w2.weight": "model-00007-of-00019.safetensors",
|
| 118 |
+
"model.layers.11.block_sparse_moe.experts.5.w3.weight": "model-00007-of-00019.safetensors",
|
| 119 |
+
"model.layers.11.block_sparse_moe.experts.6.w1.weight": "model-00007-of-00019.safetensors",
|
| 120 |
+
"model.layers.11.block_sparse_moe.experts.6.w2.weight": "model-00007-of-00019.safetensors",
|
| 121 |
+
"model.layers.11.block_sparse_moe.experts.6.w3.weight": "model-00008-of-00019.safetensors",
|
| 122 |
+
"model.layers.11.block_sparse_moe.experts.7.w1.weight": "model-00008-of-00019.safetensors",
|
| 123 |
+
"model.layers.11.block_sparse_moe.experts.7.w2.weight": "model-00008-of-00019.safetensors",
|
| 124 |
+
"model.layers.11.block_sparse_moe.experts.7.w3.weight": "model-00008-of-00019.safetensors",
|
| 125 |
+
"model.layers.11.block_sparse_moe.gate.weight": "model-00007-of-00019.safetensors",
|
| 126 |
+
"model.layers.11.input_layernorm.weight": "model-00008-of-00019.safetensors",
|
| 127 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00008-of-00019.safetensors",
|
| 128 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00007-of-00019.safetensors",
|
| 129 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00007-of-00019.safetensors",
|
| 130 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00007-of-00019.safetensors",
|
| 131 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00007-of-00019.safetensors",
|
| 132 |
+
"model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00008-of-00019.safetensors",
|
| 133 |
+
"model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00008-of-00019.safetensors",
|
| 134 |
+
"model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00008-of-00019.safetensors",
|
| 135 |
+
"model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00008-of-00019.safetensors",
|
| 136 |
+
"model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00008-of-00019.safetensors",
|
| 137 |
+
"model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00008-of-00019.safetensors",
|
| 138 |
+
"model.layers.12.block_sparse_moe.experts.2.w1.weight": "model-00008-of-00019.safetensors",
|
| 139 |
+
"model.layers.12.block_sparse_moe.experts.2.w2.weight": "model-00008-of-00019.safetensors",
|
| 140 |
+
"model.layers.12.block_sparse_moe.experts.2.w3.weight": "model-00008-of-00019.safetensors",
|
| 141 |
+
"model.layers.12.block_sparse_moe.experts.3.w1.weight": "model-00008-of-00019.safetensors",
|
| 142 |
+
"model.layers.12.block_sparse_moe.experts.3.w2.weight": "model-00008-of-00019.safetensors",
|
| 143 |
+
"model.layers.12.block_sparse_moe.experts.3.w3.weight": "model-00008-of-00019.safetensors",
|
| 144 |
+
"model.layers.12.block_sparse_moe.experts.4.w1.weight": "model-00008-of-00019.safetensors",
|
| 145 |
+
"model.layers.12.block_sparse_moe.experts.4.w2.weight": "model-00008-of-00019.safetensors",
|
| 146 |
+
"model.layers.12.block_sparse_moe.experts.4.w3.weight": "model-00008-of-00019.safetensors",
|
| 147 |
+
"model.layers.12.block_sparse_moe.experts.5.w1.weight": "model-00008-of-00019.safetensors",
|
| 148 |
+
"model.layers.12.block_sparse_moe.experts.5.w2.weight": "model-00008-of-00019.safetensors",
|
| 149 |
+
"model.layers.12.block_sparse_moe.experts.5.w3.weight": "model-00008-of-00019.safetensors",
|
| 150 |
+
"model.layers.12.block_sparse_moe.experts.6.w1.weight": "model-00008-of-00019.safetensors",
|
| 151 |
+
"model.layers.12.block_sparse_moe.experts.6.w2.weight": "model-00008-of-00019.safetensors",
|
| 152 |
+
"model.layers.12.block_sparse_moe.experts.6.w3.weight": "model-00008-of-00019.safetensors",
|
| 153 |
+
"model.layers.12.block_sparse_moe.experts.7.w1.weight": "model-00008-of-00019.safetensors",
|
| 154 |
+
"model.layers.12.block_sparse_moe.experts.7.w2.weight": "model-00008-of-00019.safetensors",
|
| 155 |
+
"model.layers.12.block_sparse_moe.experts.7.w3.weight": "model-00008-of-00019.safetensors",
|
| 156 |
+
"model.layers.12.block_sparse_moe.gate.weight": "model-00008-of-00019.safetensors",
|
| 157 |
+
"model.layers.12.input_layernorm.weight": "model-00008-of-00019.safetensors",
|
| 158 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00008-of-00019.safetensors",
|
| 159 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00008-of-00019.safetensors",
|
| 160 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00008-of-00019.safetensors",
|
| 161 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00008-of-00019.safetensors",
|
| 162 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00008-of-00019.safetensors",
|
| 163 |
+
"model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00008-of-00019.safetensors",
|
| 164 |
+
"model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00008-of-00019.safetensors",
|
| 165 |
+
"model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00008-of-00019.safetensors",
|
| 166 |
+
"model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00008-of-00019.safetensors",
|
| 167 |
+
"model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00008-of-00019.safetensors",
|
| 168 |
+
"model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00008-of-00019.safetensors",
|
| 169 |
+
"model.layers.13.block_sparse_moe.experts.2.w1.weight": "model-00008-of-00019.safetensors",
|
| 170 |
+
"model.layers.13.block_sparse_moe.experts.2.w2.weight": "model-00008-of-00019.safetensors",
|
| 171 |
+
"model.layers.13.block_sparse_moe.experts.2.w3.weight": "model-00008-of-00019.safetensors",
|
| 172 |
+
"model.layers.13.block_sparse_moe.experts.3.w1.weight": "model-00008-of-00019.safetensors",
|
| 173 |
+
"model.layers.13.block_sparse_moe.experts.3.w2.weight": "model-00008-of-00019.safetensors",
|
| 174 |
+
"model.layers.13.block_sparse_moe.experts.3.w3.weight": "model-00008-of-00019.safetensors",
|
| 175 |
+
"model.layers.13.block_sparse_moe.experts.4.w1.weight": "model-00008-of-00019.safetensors",
|
| 176 |
+
"model.layers.13.block_sparse_moe.experts.4.w2.weight": "model-00009-of-00019.safetensors",
|
| 177 |
+
"model.layers.13.block_sparse_moe.experts.4.w3.weight": "model-00009-of-00019.safetensors",
|
| 178 |
+
"model.layers.13.block_sparse_moe.experts.5.w1.weight": "model-00009-of-00019.safetensors",
|
| 179 |
+
"model.layers.13.block_sparse_moe.experts.5.w2.weight": "model-00009-of-00019.safetensors",
|
| 180 |
+
"model.layers.13.block_sparse_moe.experts.5.w3.weight": "model-00009-of-00019.safetensors",
|
| 181 |
+
"model.layers.13.block_sparse_moe.experts.6.w1.weight": "model-00009-of-00019.safetensors",
|
| 182 |
+
"model.layers.13.block_sparse_moe.experts.6.w2.weight": "model-00009-of-00019.safetensors",
|
| 183 |
+
"model.layers.13.block_sparse_moe.experts.6.w3.weight": "model-00009-of-00019.safetensors",
|
| 184 |
+
"model.layers.13.block_sparse_moe.experts.7.w1.weight": "model-00009-of-00019.safetensors",
|
| 185 |
+
"model.layers.13.block_sparse_moe.experts.7.w2.weight": "model-00009-of-00019.safetensors",
|
| 186 |
+
"model.layers.13.block_sparse_moe.experts.7.w3.weight": "model-00009-of-00019.safetensors",
|
| 187 |
+
"model.layers.13.block_sparse_moe.gate.weight": "model-00008-of-00019.safetensors",
|
| 188 |
+
"model.layers.13.input_layernorm.weight": "model-00009-of-00019.safetensors",
|
| 189 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00009-of-00019.safetensors",
|
| 190 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00008-of-00019.safetensors",
|
| 191 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00008-of-00019.safetensors",
|
| 192 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00008-of-00019.safetensors",
|
| 193 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00008-of-00019.safetensors",
|
| 194 |
+
"model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00009-of-00019.safetensors",
|
| 195 |
+
"model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00009-of-00019.safetensors",
|
| 196 |
+
"model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00009-of-00019.safetensors",
|
| 197 |
+
"model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00009-of-00019.safetensors",
|
| 198 |
+
"model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00009-of-00019.safetensors",
|
| 199 |
+
"model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00009-of-00019.safetensors",
|
| 200 |
+
"model.layers.14.block_sparse_moe.experts.2.w1.weight": "model-00009-of-00019.safetensors",
|
| 201 |
+
"model.layers.14.block_sparse_moe.experts.2.w2.weight": "model-00009-of-00019.safetensors",
|
| 202 |
+
"model.layers.14.block_sparse_moe.experts.2.w3.weight": "model-00009-of-00019.safetensors",
|
| 203 |
+
"model.layers.14.block_sparse_moe.experts.3.w1.weight": "model-00009-of-00019.safetensors",
|
| 204 |
+
"model.layers.14.block_sparse_moe.experts.3.w2.weight": "model-00009-of-00019.safetensors",
|
| 205 |
+
"model.layers.14.block_sparse_moe.experts.3.w3.weight": "model-00009-of-00019.safetensors",
|
| 206 |
+
"model.layers.14.block_sparse_moe.experts.4.w1.weight": "model-00009-of-00019.safetensors",
|
| 207 |
+
"model.layers.14.block_sparse_moe.experts.4.w2.weight": "model-00009-of-00019.safetensors",
|
| 208 |
+
"model.layers.14.block_sparse_moe.experts.4.w3.weight": "model-00009-of-00019.safetensors",
|
| 209 |
+
"model.layers.14.block_sparse_moe.experts.5.w1.weight": "model-00009-of-00019.safetensors",
|
| 210 |
+
"model.layers.14.block_sparse_moe.experts.5.w2.weight": "model-00009-of-00019.safetensors",
|
| 211 |
+
"model.layers.14.block_sparse_moe.experts.5.w3.weight": "model-00009-of-00019.safetensors",
|
| 212 |
+
"model.layers.14.block_sparse_moe.experts.6.w1.weight": "model-00009-of-00019.safetensors",
|
| 213 |
+
"model.layers.14.block_sparse_moe.experts.6.w2.weight": "model-00009-of-00019.safetensors",
|
| 214 |
+
"model.layers.14.block_sparse_moe.experts.6.w3.weight": "model-00009-of-00019.safetensors",
|
| 215 |
+
"model.layers.14.block_sparse_moe.experts.7.w1.weight": "model-00009-of-00019.safetensors",
|
| 216 |
+
"model.layers.14.block_sparse_moe.experts.7.w2.weight": "model-00009-of-00019.safetensors",
|
| 217 |
+
"model.layers.14.block_sparse_moe.experts.7.w3.weight": "model-00009-of-00019.safetensors",
|
| 218 |
+
"model.layers.14.block_sparse_moe.gate.weight": "model-00009-of-00019.safetensors",
|
| 219 |
+
"model.layers.14.input_layernorm.weight": "model-00009-of-00019.safetensors",
|
| 220 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00009-of-00019.safetensors",
|
| 221 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00009-of-00019.safetensors",
|
| 222 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00009-of-00019.safetensors",
|
| 223 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00009-of-00019.safetensors",
|
| 224 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00009-of-00019.safetensors",
|
| 225 |
+
"model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00009-of-00019.safetensors",
|
| 226 |
+
"model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00009-of-00019.safetensors",
|
| 227 |
+
"model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00009-of-00019.safetensors",
|
| 228 |
+
"model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00009-of-00019.safetensors",
|
| 229 |
+
"model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00009-of-00019.safetensors",
|
| 230 |
+
"model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00009-of-00019.safetensors",
|
| 231 |
+
"model.layers.15.block_sparse_moe.experts.2.w1.weight": "model-00010-of-00019.safetensors",
|
| 232 |
+
"model.layers.15.block_sparse_moe.experts.2.w2.weight": "model-00010-of-00019.safetensors",
|
| 233 |
+
"model.layers.15.block_sparse_moe.experts.2.w3.weight": "model-00010-of-00019.safetensors",
|
| 234 |
+
"model.layers.15.block_sparse_moe.experts.3.w1.weight": "model-00010-of-00019.safetensors",
|
| 235 |
+
"model.layers.15.block_sparse_moe.experts.3.w2.weight": "model-00010-of-00019.safetensors",
|
| 236 |
+
"model.layers.15.block_sparse_moe.experts.3.w3.weight": "model-00010-of-00019.safetensors",
|
| 237 |
+
"model.layers.15.block_sparse_moe.experts.4.w1.weight": "model-00010-of-00019.safetensors",
|
| 238 |
+
"model.layers.15.block_sparse_moe.experts.4.w2.weight": "model-00010-of-00019.safetensors",
|
| 239 |
+
"model.layers.15.block_sparse_moe.experts.4.w3.weight": "model-00010-of-00019.safetensors",
|
| 240 |
+
"model.layers.15.block_sparse_moe.experts.5.w1.weight": "model-00010-of-00019.safetensors",
|
| 241 |
+
"model.layers.15.block_sparse_moe.experts.5.w2.weight": "model-00010-of-00019.safetensors",
|
| 242 |
+
"model.layers.15.block_sparse_moe.experts.5.w3.weight": "model-00010-of-00019.safetensors",
|
| 243 |
+
"model.layers.15.block_sparse_moe.experts.6.w1.weight": "model-00010-of-00019.safetensors",
|
| 244 |
+
"model.layers.15.block_sparse_moe.experts.6.w2.weight": "model-00010-of-00019.safetensors",
|
| 245 |
+
"model.layers.15.block_sparse_moe.experts.6.w3.weight": "model-00010-of-00019.safetensors",
|
| 246 |
+
"model.layers.15.block_sparse_moe.experts.7.w1.weight": "model-00010-of-00019.safetensors",
|
| 247 |
+
"model.layers.15.block_sparse_moe.experts.7.w2.weight": "model-00010-of-00019.safetensors",
|
| 248 |
+
"model.layers.15.block_sparse_moe.experts.7.w3.weight": "model-00010-of-00019.safetensors",
|
| 249 |
+
"model.layers.15.block_sparse_moe.gate.weight": "model-00009-of-00019.safetensors",
|
| 250 |
+
"model.layers.15.input_layernorm.weight": "model-00010-of-00019.safetensors",
|
| 251 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00010-of-00019.safetensors",
|
| 252 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00009-of-00019.safetensors",
|
| 253 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00009-of-00019.safetensors",
|
| 254 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00009-of-00019.safetensors",
|
| 255 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00009-of-00019.safetensors",
|
| 256 |
+
"model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00010-of-00019.safetensors",
|
| 257 |
+
"model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00010-of-00019.safetensors",
|
| 258 |
+
"model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00010-of-00019.safetensors",
|
| 259 |
+
"model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00010-of-00019.safetensors",
|
| 260 |
+
"model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00010-of-00019.safetensors",
|
| 261 |
+
"model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00010-of-00019.safetensors",
|
| 262 |
+
"model.layers.16.block_sparse_moe.experts.2.w1.weight": "model-00010-of-00019.safetensors",
|
| 263 |
+
"model.layers.16.block_sparse_moe.experts.2.w2.weight": "model-00010-of-00019.safetensors",
|
| 264 |
+
"model.layers.16.block_sparse_moe.experts.2.w3.weight": "model-00010-of-00019.safetensors",
|
| 265 |
+
"model.layers.16.block_sparse_moe.experts.3.w1.weight": "model-00010-of-00019.safetensors",
|
| 266 |
+
"model.layers.16.block_sparse_moe.experts.3.w2.weight": "model-00010-of-00019.safetensors",
|
| 267 |
+
"model.layers.16.block_sparse_moe.experts.3.w3.weight": "model-00010-of-00019.safetensors",
|
| 268 |
+
"model.layers.16.block_sparse_moe.experts.4.w1.weight": "model-00010-of-00019.safetensors",
|
| 269 |
+
"model.layers.16.block_sparse_moe.experts.4.w2.weight": "model-00010-of-00019.safetensors",
|
| 270 |
+
"model.layers.16.block_sparse_moe.experts.4.w3.weight": "model-00010-of-00019.safetensors",
|
| 271 |
+
"model.layers.16.block_sparse_moe.experts.5.w1.weight": "model-00010-of-00019.safetensors",
|
| 272 |
+
"model.layers.16.block_sparse_moe.experts.5.w2.weight": "model-00010-of-00019.safetensors",
|
| 273 |
+
"model.layers.16.block_sparse_moe.experts.5.w3.weight": "model-00010-of-00019.safetensors",
|
| 274 |
+
"model.layers.16.block_sparse_moe.experts.6.w1.weight": "model-00010-of-00019.safetensors",
|
| 275 |
+
"model.layers.16.block_sparse_moe.experts.6.w2.weight": "model-00010-of-00019.safetensors",
|
| 276 |
+
"model.layers.16.block_sparse_moe.experts.6.w3.weight": "model-00010-of-00019.safetensors",
|
| 277 |
+
"model.layers.16.block_sparse_moe.experts.7.w1.weight": "model-00010-of-00019.safetensors",
|
| 278 |
+
"model.layers.16.block_sparse_moe.experts.7.w2.weight": "model-00010-of-00019.safetensors",
|
| 279 |
+
"model.layers.16.block_sparse_moe.experts.7.w3.weight": "model-00011-of-00019.safetensors",
|
| 280 |
+
"model.layers.16.block_sparse_moe.gate.weight": "model-00010-of-00019.safetensors",
|
| 281 |
+
"model.layers.16.input_layernorm.weight": "model-00011-of-00019.safetensors",
|
| 282 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00011-of-00019.safetensors",
|
| 283 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00010-of-00019.safetensors",
|
| 284 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00010-of-00019.safetensors",
|
| 285 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00010-of-00019.safetensors",
|
| 286 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00010-of-00019.safetensors",
|
| 287 |
+
"model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00011-of-00019.safetensors",
|
| 288 |
+
"model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00011-of-00019.safetensors",
|
| 289 |
+
"model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00011-of-00019.safetensors",
|
| 290 |
+
"model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00011-of-00019.safetensors",
|
| 291 |
+
"model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00011-of-00019.safetensors",
|
| 292 |
+
"model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00011-of-00019.safetensors",
|
| 293 |
+
"model.layers.17.block_sparse_moe.experts.2.w1.weight": "model-00011-of-00019.safetensors",
|
| 294 |
+
"model.layers.17.block_sparse_moe.experts.2.w2.weight": "model-00011-of-00019.safetensors",
|
| 295 |
+
"model.layers.17.block_sparse_moe.experts.2.w3.weight": "model-00011-of-00019.safetensors",
|
| 296 |
+
"model.layers.17.block_sparse_moe.experts.3.w1.weight": "model-00011-of-00019.safetensors",
|
| 297 |
+
"model.layers.17.block_sparse_moe.experts.3.w2.weight": "model-00011-of-00019.safetensors",
|
| 298 |
+
"model.layers.17.block_sparse_moe.experts.3.w3.weight": "model-00011-of-00019.safetensors",
|
| 299 |
+
"model.layers.17.block_sparse_moe.experts.4.w1.weight": "model-00011-of-00019.safetensors",
|
| 300 |
+
"model.layers.17.block_sparse_moe.experts.4.w2.weight": "model-00011-of-00019.safetensors",
|
| 301 |
+
"model.layers.17.block_sparse_moe.experts.4.w3.weight": "model-00011-of-00019.safetensors",
|
| 302 |
+
"model.layers.17.block_sparse_moe.experts.5.w1.weight": "model-00011-of-00019.safetensors",
|
| 303 |
+
"model.layers.17.block_sparse_moe.experts.5.w2.weight": "model-00011-of-00019.safetensors",
|
| 304 |
+
"model.layers.17.block_sparse_moe.experts.5.w3.weight": "model-00011-of-00019.safetensors",
|
| 305 |
+
"model.layers.17.block_sparse_moe.experts.6.w1.weight": "model-00011-of-00019.safetensors",
|
| 306 |
+
"model.layers.17.block_sparse_moe.experts.6.w2.weight": "model-00011-of-00019.safetensors",
|
| 307 |
+
"model.layers.17.block_sparse_moe.experts.6.w3.weight": "model-00011-of-00019.safetensors",
|
| 308 |
+
"model.layers.17.block_sparse_moe.experts.7.w1.weight": "model-00011-of-00019.safetensors",
|
| 309 |
+
"model.layers.17.block_sparse_moe.experts.7.w2.weight": "model-00011-of-00019.safetensors",
|
| 310 |
+
"model.layers.17.block_sparse_moe.experts.7.w3.weight": "model-00011-of-00019.safetensors",
|
| 311 |
+
"model.layers.17.block_sparse_moe.gate.weight": "model-00011-of-00019.safetensors",
|
| 312 |
+
"model.layers.17.input_layernorm.weight": "model-00011-of-00019.safetensors",
|
| 313 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00011-of-00019.safetensors",
|
| 314 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00011-of-00019.safetensors",
|
| 315 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00011-of-00019.safetensors",
|
| 316 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00011-of-00019.safetensors",
|
| 317 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00011-of-00019.safetensors",
|
| 318 |
+
"model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00011-of-00019.safetensors",
|
| 319 |
+
"model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00011-of-00019.safetensors",
|
| 320 |
+
"model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00011-of-00019.safetensors",
|
| 321 |
+
"model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00011-of-00019.safetensors",
|
| 322 |
+
"model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00011-of-00019.safetensors",
|
| 323 |
+
"model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00011-of-00019.safetensors",
|
| 324 |
+
"model.layers.18.block_sparse_moe.experts.2.w1.weight": "model-00011-of-00019.safetensors",
|
| 325 |
+
"model.layers.18.block_sparse_moe.experts.2.w2.weight": "model-00011-of-00019.safetensors",
|
| 326 |
+
"model.layers.18.block_sparse_moe.experts.2.w3.weight": "model-00011-of-00019.safetensors",
|
| 327 |
+
"model.layers.18.block_sparse_moe.experts.3.w1.weight": "model-00011-of-00019.safetensors",
|
| 328 |
+
"model.layers.18.block_sparse_moe.experts.3.w2.weight": "model-00011-of-00019.safetensors",
|
| 329 |
+
"model.layers.18.block_sparse_moe.experts.3.w3.weight": "model-00011-of-00019.safetensors",
|
| 330 |
+
"model.layers.18.block_sparse_moe.experts.4.w1.weight": "model-00011-of-00019.safetensors",
|
| 331 |
+
"model.layers.18.block_sparse_moe.experts.4.w2.weight": "model-00011-of-00019.safetensors",
|
| 332 |
+
"model.layers.18.block_sparse_moe.experts.4.w3.weight": "model-00011-of-00019.safetensors",
|
| 333 |
+
"model.layers.18.block_sparse_moe.experts.5.w1.weight": "model-00011-of-00019.safetensors",
|
| 334 |
+
"model.layers.18.block_sparse_moe.experts.5.w2.weight": "model-00012-of-00019.safetensors",
|
| 335 |
+
"model.layers.18.block_sparse_moe.experts.5.w3.weight": "model-00012-of-00019.safetensors",
|
| 336 |
+
"model.layers.18.block_sparse_moe.experts.6.w1.weight": "model-00012-of-00019.safetensors",
|
| 337 |
+
"model.layers.18.block_sparse_moe.experts.6.w2.weight": "model-00012-of-00019.safetensors",
|
| 338 |
+
"model.layers.18.block_sparse_moe.experts.6.w3.weight": "model-00012-of-00019.safetensors",
|
| 339 |
+
"model.layers.18.block_sparse_moe.experts.7.w1.weight": "model-00012-of-00019.safetensors",
|
| 340 |
+
"model.layers.18.block_sparse_moe.experts.7.w2.weight": "model-00012-of-00019.safetensors",
|
| 341 |
+
"model.layers.18.block_sparse_moe.experts.7.w3.weight": "model-00012-of-00019.safetensors",
|
| 342 |
+
"model.layers.18.block_sparse_moe.gate.weight": "model-00011-of-00019.safetensors",
|
| 343 |
+
"model.layers.18.input_layernorm.weight": "model-00012-of-00019.safetensors",
|
| 344 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00012-of-00019.safetensors",
|
| 345 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00011-of-00019.safetensors",
|
| 346 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00011-of-00019.safetensors",
|
| 347 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00011-of-00019.safetensors",
|
| 348 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00011-of-00019.safetensors",
|
| 349 |
+
"model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00012-of-00019.safetensors",
|
| 350 |
+
"model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00012-of-00019.safetensors",
|
| 351 |
+
"model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00012-of-00019.safetensors",
|
| 352 |
+
"model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00012-of-00019.safetensors",
|
| 353 |
+
"model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00012-of-00019.safetensors",
|
| 354 |
+
"model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00012-of-00019.safetensors",
|
| 355 |
+
"model.layers.19.block_sparse_moe.experts.2.w1.weight": "model-00012-of-00019.safetensors",
|
| 356 |
+
"model.layers.19.block_sparse_moe.experts.2.w2.weight": "model-00012-of-00019.safetensors",
|
| 357 |
+
"model.layers.19.block_sparse_moe.experts.2.w3.weight": "model-00012-of-00019.safetensors",
|
| 358 |
+
"model.layers.19.block_sparse_moe.experts.3.w1.weight": "model-00012-of-00019.safetensors",
|
| 359 |
+
"model.layers.19.block_sparse_moe.experts.3.w2.weight": "model-00012-of-00019.safetensors",
|
| 360 |
+
"model.layers.19.block_sparse_moe.experts.3.w3.weight": "model-00012-of-00019.safetensors",
|
| 361 |
+
"model.layers.19.block_sparse_moe.experts.4.w1.weight": "model-00012-of-00019.safetensors",
|
| 362 |
+
"model.layers.19.block_sparse_moe.experts.4.w2.weight": "model-00012-of-00019.safetensors",
|
| 363 |
+
"model.layers.19.block_sparse_moe.experts.4.w3.weight": "model-00012-of-00019.safetensors",
|
| 364 |
+
"model.layers.19.block_sparse_moe.experts.5.w1.weight": "model-00012-of-00019.safetensors",
|
| 365 |
+
"model.layers.19.block_sparse_moe.experts.5.w2.weight": "model-00012-of-00019.safetensors",
|
| 366 |
+
"model.layers.19.block_sparse_moe.experts.5.w3.weight": "model-00012-of-00019.safetensors",
|
| 367 |
+
"model.layers.19.block_sparse_moe.experts.6.w1.weight": "model-00012-of-00019.safetensors",
|
| 368 |
+
"model.layers.19.block_sparse_moe.experts.6.w2.weight": "model-00012-of-00019.safetensors",
|
| 369 |
+
"model.layers.19.block_sparse_moe.experts.6.w3.weight": "model-00012-of-00019.safetensors",
|
| 370 |
+
"model.layers.19.block_sparse_moe.experts.7.w1.weight": "model-00012-of-00019.safetensors",
|
| 371 |
+
"model.layers.19.block_sparse_moe.experts.7.w2.weight": "model-00012-of-00019.safetensors",
|
| 372 |
+
"model.layers.19.block_sparse_moe.experts.7.w3.weight": "model-00012-of-00019.safetensors",
|
| 373 |
+
"model.layers.19.block_sparse_moe.gate.weight": "model-00012-of-00019.safetensors",
|
| 374 |
+
"model.layers.19.input_layernorm.weight": "model-00012-of-00019.safetensors",
|
| 375 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00012-of-00019.safetensors",
|
| 376 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00012-of-00019.safetensors",
|
| 377 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00012-of-00019.safetensors",
|
| 378 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00012-of-00019.safetensors",
|
| 379 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00012-of-00019.safetensors",
|
| 380 |
+
"model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00019.safetensors",
|
| 381 |
+
"model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00019.safetensors",
|
| 382 |
+
"model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00019.safetensors",
|
| 383 |
+
"model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00019.safetensors",
|
| 384 |
+
"model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00019.safetensors",
|
| 385 |
+
"model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00019.safetensors",
|
| 386 |
+
"model.layers.2.block_sparse_moe.experts.2.w1.weight": "model-00002-of-00019.safetensors",
|
| 387 |
+
"model.layers.2.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00019.safetensors",
|
| 388 |
+
"model.layers.2.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00019.safetensors",
|
| 389 |
+
"model.layers.2.block_sparse_moe.experts.3.w1.weight": "model-00002-of-00019.safetensors",
|
| 390 |
+
"model.layers.2.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00019.safetensors",
|
| 391 |
+
"model.layers.2.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00019.safetensors",
|
| 392 |
+
"model.layers.2.block_sparse_moe.experts.4.w1.weight": "model-00002-of-00019.safetensors",
|
| 393 |
+
"model.layers.2.block_sparse_moe.experts.4.w2.weight": "model-00002-of-00019.safetensors",
|
| 394 |
+
"model.layers.2.block_sparse_moe.experts.4.w3.weight": "model-00002-of-00019.safetensors",
|
| 395 |
+
"model.layers.2.block_sparse_moe.experts.5.w1.weight": "model-00002-of-00019.safetensors",
|
| 396 |
+
"model.layers.2.block_sparse_moe.experts.5.w2.weight": "model-00002-of-00019.safetensors",
|
| 397 |
+
"model.layers.2.block_sparse_moe.experts.5.w3.weight": "model-00002-of-00019.safetensors",
|
| 398 |
+
"model.layers.2.block_sparse_moe.experts.6.w1.weight": "model-00002-of-00019.safetensors",
|
| 399 |
+
"model.layers.2.block_sparse_moe.experts.6.w2.weight": "model-00002-of-00019.safetensors",
|
| 400 |
+
"model.layers.2.block_sparse_moe.experts.6.w3.weight": "model-00002-of-00019.safetensors",
|
| 401 |
+
"model.layers.2.block_sparse_moe.experts.7.w1.weight": "model-00002-of-00019.safetensors",
|
| 402 |
+
"model.layers.2.block_sparse_moe.experts.7.w2.weight": "model-00002-of-00019.safetensors",
|
| 403 |
+
"model.layers.2.block_sparse_moe.experts.7.w3.weight": "model-00002-of-00019.safetensors",
|
| 404 |
+
"model.layers.2.block_sparse_moe.gate.weight": "model-00002-of-00019.safetensors",
|
| 405 |
+
"model.layers.2.input_layernorm.weight": "model-00002-of-00019.safetensors",
|
| 406 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00002-of-00019.safetensors",
|
| 407 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00002-of-00019.safetensors",
|
| 408 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00002-of-00019.safetensors",
|
| 409 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00002-of-00019.safetensors",
|
| 410 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00002-of-00019.safetensors",
|
| 411 |
+
"model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00012-of-00019.safetensors",
|
| 412 |
+
"model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00012-of-00019.safetensors",
|
| 413 |
+
"model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00012-of-00019.safetensors",
|
| 414 |
+
"model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00012-of-00019.safetensors",
|
| 415 |
+
"model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00012-of-00019.safetensors",
|
| 416 |
+
"model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00012-of-00019.safetensors",
|
| 417 |
+
"model.layers.20.block_sparse_moe.experts.2.w1.weight": "model-00012-of-00019.safetensors",
|
| 418 |
+
"model.layers.20.block_sparse_moe.experts.2.w2.weight": "model-00012-of-00019.safetensors",
|
| 419 |
+
"model.layers.20.block_sparse_moe.experts.2.w3.weight": "model-00012-of-00019.safetensors",
|
| 420 |
+
"model.layers.20.block_sparse_moe.experts.3.w1.weight": "model-00013-of-00019.safetensors",
|
| 421 |
+
"model.layers.20.block_sparse_moe.experts.3.w2.weight": "model-00013-of-00019.safetensors",
|
| 422 |
+
"model.layers.20.block_sparse_moe.experts.3.w3.weight": "model-00013-of-00019.safetensors",
|
| 423 |
+
"model.layers.20.block_sparse_moe.experts.4.w1.weight": "model-00013-of-00019.safetensors",
|
| 424 |
+
"model.layers.20.block_sparse_moe.experts.4.w2.weight": "model-00013-of-00019.safetensors",
|
| 425 |
+
"model.layers.20.block_sparse_moe.experts.4.w3.weight": "model-00013-of-00019.safetensors",
|
| 426 |
+
"model.layers.20.block_sparse_moe.experts.5.w1.weight": "model-00013-of-00019.safetensors",
|
| 427 |
+
"model.layers.20.block_sparse_moe.experts.5.w2.weight": "model-00013-of-00019.safetensors",
|
| 428 |
+
"model.layers.20.block_sparse_moe.experts.5.w3.weight": "model-00013-of-00019.safetensors",
|
| 429 |
+
"model.layers.20.block_sparse_moe.experts.6.w1.weight": "model-00013-of-00019.safetensors",
|
| 430 |
+
"model.layers.20.block_sparse_moe.experts.6.w2.weight": "model-00013-of-00019.safetensors",
|
| 431 |
+
"model.layers.20.block_sparse_moe.experts.6.w3.weight": "model-00013-of-00019.safetensors",
|
| 432 |
+
"model.layers.20.block_sparse_moe.experts.7.w1.weight": "model-00013-of-00019.safetensors",
|
| 433 |
+
"model.layers.20.block_sparse_moe.experts.7.w2.weight": "model-00013-of-00019.safetensors",
|
| 434 |
+
"model.layers.20.block_sparse_moe.experts.7.w3.weight": "model-00013-of-00019.safetensors",
|
| 435 |
+
"model.layers.20.block_sparse_moe.gate.weight": "model-00012-of-00019.safetensors",
|
| 436 |
+
"model.layers.20.input_layernorm.weight": "model-00013-of-00019.safetensors",
|
| 437 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00013-of-00019.safetensors",
|
| 438 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00012-of-00019.safetensors",
|
| 439 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00012-of-00019.safetensors",
|
| 440 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00012-of-00019.safetensors",
|
| 441 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00012-of-00019.safetensors",
|
| 442 |
+
"model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00013-of-00019.safetensors",
|
| 443 |
+
"model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00013-of-00019.safetensors",
|
| 444 |
+
"model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00013-of-00019.safetensors",
|
| 445 |
+
"model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00013-of-00019.safetensors",
|
| 446 |
+
"model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00013-of-00019.safetensors",
|
| 447 |
+
"model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00013-of-00019.safetensors",
|
| 448 |
+
"model.layers.21.block_sparse_moe.experts.2.w1.weight": "model-00013-of-00019.safetensors",
|
| 449 |
+
"model.layers.21.block_sparse_moe.experts.2.w2.weight": "model-00013-of-00019.safetensors",
|
| 450 |
+
"model.layers.21.block_sparse_moe.experts.2.w3.weight": "model-00013-of-00019.safetensors",
|
| 451 |
+
"model.layers.21.block_sparse_moe.experts.3.w1.weight": "model-00013-of-00019.safetensors",
|
| 452 |
+
"model.layers.21.block_sparse_moe.experts.3.w2.weight": "model-00013-of-00019.safetensors",
|
| 453 |
+
"model.layers.21.block_sparse_moe.experts.3.w3.weight": "model-00013-of-00019.safetensors",
|
| 454 |
+
"model.layers.21.block_sparse_moe.experts.4.w1.weight": "model-00013-of-00019.safetensors",
|
| 455 |
+
"model.layers.21.block_sparse_moe.experts.4.w2.weight": "model-00013-of-00019.safetensors",
|
| 456 |
+
"model.layers.21.block_sparse_moe.experts.4.w3.weight": "model-00013-of-00019.safetensors",
|
| 457 |
+
"model.layers.21.block_sparse_moe.experts.5.w1.weight": "model-00013-of-00019.safetensors",
|
| 458 |
+
"model.layers.21.block_sparse_moe.experts.5.w2.weight": "model-00013-of-00019.safetensors",
|
| 459 |
+
"model.layers.21.block_sparse_moe.experts.5.w3.weight": "model-00013-of-00019.safetensors",
|
| 460 |
+
"model.layers.21.block_sparse_moe.experts.6.w1.weight": "model-00013-of-00019.safetensors",
|
| 461 |
+
"model.layers.21.block_sparse_moe.experts.6.w2.weight": "model-00013-of-00019.safetensors",
|
| 462 |
+
"model.layers.21.block_sparse_moe.experts.6.w3.weight": "model-00013-of-00019.safetensors",
|
| 463 |
+
"model.layers.21.block_sparse_moe.experts.7.w1.weight": "model-00013-of-00019.safetensors",
|
| 464 |
+
"model.layers.21.block_sparse_moe.experts.7.w2.weight": "model-00013-of-00019.safetensors",
|
| 465 |
+
"model.layers.21.block_sparse_moe.experts.7.w3.weight": "model-00013-of-00019.safetensors",
|
| 466 |
+
"model.layers.21.block_sparse_moe.gate.weight": "model-00013-of-00019.safetensors",
|
| 467 |
+
"model.layers.21.input_layernorm.weight": "model-00013-of-00019.safetensors",
|
| 468 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00013-of-00019.safetensors",
|
| 469 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00013-of-00019.safetensors",
|
| 470 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00013-of-00019.safetensors",
|
| 471 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00013-of-00019.safetensors",
|
| 472 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00013-of-00019.safetensors",
|
| 473 |
+
"model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00013-of-00019.safetensors",
|
| 474 |
+
"model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00013-of-00019.safetensors",
|
| 475 |
+
"model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00014-of-00019.safetensors",
|
| 476 |
+
"model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00014-of-00019.safetensors",
|
| 477 |
+
"model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00014-of-00019.safetensors",
|
| 478 |
+
"model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00014-of-00019.safetensors",
|
| 479 |
+
"model.layers.22.block_sparse_moe.experts.2.w1.weight": "model-00014-of-00019.safetensors",
|
| 480 |
+
"model.layers.22.block_sparse_moe.experts.2.w2.weight": "model-00014-of-00019.safetensors",
|
| 481 |
+
"model.layers.22.block_sparse_moe.experts.2.w3.weight": "model-00014-of-00019.safetensors",
|
| 482 |
+
"model.layers.22.block_sparse_moe.experts.3.w1.weight": "model-00014-of-00019.safetensors",
|
| 483 |
+
"model.layers.22.block_sparse_moe.experts.3.w2.weight": "model-00014-of-00019.safetensors",
|
| 484 |
+
"model.layers.22.block_sparse_moe.experts.3.w3.weight": "model-00014-of-00019.safetensors",
|
| 485 |
+
"model.layers.22.block_sparse_moe.experts.4.w1.weight": "model-00014-of-00019.safetensors",
|
| 486 |
+
"model.layers.22.block_sparse_moe.experts.4.w2.weight": "model-00014-of-00019.safetensors",
|
| 487 |
+
"model.layers.22.block_sparse_moe.experts.4.w3.weight": "model-00014-of-00019.safetensors",
|
| 488 |
+
"model.layers.22.block_sparse_moe.experts.5.w1.weight": "model-00014-of-00019.safetensors",
|
| 489 |
+
"model.layers.22.block_sparse_moe.experts.5.w2.weight": "model-00014-of-00019.safetensors",
|
| 490 |
+
"model.layers.22.block_sparse_moe.experts.5.w3.weight": "model-00014-of-00019.safetensors",
|
| 491 |
+
"model.layers.22.block_sparse_moe.experts.6.w1.weight": "model-00014-of-00019.safetensors",
|
| 492 |
+
"model.layers.22.block_sparse_moe.experts.6.w2.weight": "model-00014-of-00019.safetensors",
|
| 493 |
+
"model.layers.22.block_sparse_moe.experts.6.w3.weight": "model-00014-of-00019.safetensors",
|
| 494 |
+
"model.layers.22.block_sparse_moe.experts.7.w1.weight": "model-00014-of-00019.safetensors",
|
| 495 |
+
"model.layers.22.block_sparse_moe.experts.7.w2.weight": "model-00014-of-00019.safetensors",
|
| 496 |
+
"model.layers.22.block_sparse_moe.experts.7.w3.weight": "model-00014-of-00019.safetensors",
|
| 497 |
+
"model.layers.22.block_sparse_moe.gate.weight": "model-00013-of-00019.safetensors",
|
| 498 |
+
"model.layers.22.input_layernorm.weight": "model-00014-of-00019.safetensors",
|
| 499 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00014-of-00019.safetensors",
|
| 500 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00013-of-00019.safetensors",
|
| 501 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00013-of-00019.safetensors",
|
| 502 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00013-of-00019.safetensors",
|
| 503 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00013-of-00019.safetensors",
|
| 504 |
+
"model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00014-of-00019.safetensors",
|
| 505 |
+
"model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00014-of-00019.safetensors",
|
| 506 |
+
"model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00014-of-00019.safetensors",
|
| 507 |
+
"model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00014-of-00019.safetensors",
|
| 508 |
+
"model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00014-of-00019.safetensors",
|
| 509 |
+
"model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00014-of-00019.safetensors",
|
| 510 |
+
"model.layers.23.block_sparse_moe.experts.2.w1.weight": "model-00014-of-00019.safetensors",
|
| 511 |
+
"model.layers.23.block_sparse_moe.experts.2.w2.weight": "model-00014-of-00019.safetensors",
|
| 512 |
+
"model.layers.23.block_sparse_moe.experts.2.w3.weight": "model-00014-of-00019.safetensors",
|
| 513 |
+
"model.layers.23.block_sparse_moe.experts.3.w1.weight": "model-00014-of-00019.safetensors",
|
| 514 |
+
"model.layers.23.block_sparse_moe.experts.3.w2.weight": "model-00014-of-00019.safetensors",
|
| 515 |
+
"model.layers.23.block_sparse_moe.experts.3.w3.weight": "model-00014-of-00019.safetensors",
|
| 516 |
+
"model.layers.23.block_sparse_moe.experts.4.w1.weight": "model-00014-of-00019.safetensors",
|
| 517 |
+
"model.layers.23.block_sparse_moe.experts.4.w2.weight": "model-00014-of-00019.safetensors",
|
| 518 |
+
"model.layers.23.block_sparse_moe.experts.4.w3.weight": "model-00014-of-00019.safetensors",
|
| 519 |
+
"model.layers.23.block_sparse_moe.experts.5.w1.weight": "model-00014-of-00019.safetensors",
|
| 520 |
+
"model.layers.23.block_sparse_moe.experts.5.w2.weight": "model-00014-of-00019.safetensors",
|
| 521 |
+
"model.layers.23.block_sparse_moe.experts.5.w3.weight": "model-00014-of-00019.safetensors",
|
| 522 |
+
"model.layers.23.block_sparse_moe.experts.6.w1.weight": "model-00014-of-00019.safetensors",
|
| 523 |
+
"model.layers.23.block_sparse_moe.experts.6.w2.weight": "model-00015-of-00019.safetensors",
|
| 524 |
+
"model.layers.23.block_sparse_moe.experts.6.w3.weight": "model-00015-of-00019.safetensors",
|
| 525 |
+
"model.layers.23.block_sparse_moe.experts.7.w1.weight": "model-00015-of-00019.safetensors",
|
| 526 |
+
"model.layers.23.block_sparse_moe.experts.7.w2.weight": "model-00015-of-00019.safetensors",
|
| 527 |
+
"model.layers.23.block_sparse_moe.experts.7.w3.weight": "model-00015-of-00019.safetensors",
|
| 528 |
+
"model.layers.23.block_sparse_moe.gate.weight": "model-00014-of-00019.safetensors",
|
| 529 |
+
"model.layers.23.input_layernorm.weight": "model-00015-of-00019.safetensors",
|
| 530 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00015-of-00019.safetensors",
|
| 531 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00014-of-00019.safetensors",
|
| 532 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00014-of-00019.safetensors",
|
| 533 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00014-of-00019.safetensors",
|
| 534 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00014-of-00019.safetensors",
|
| 535 |
+
"model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00015-of-00019.safetensors",
|
| 536 |
+
"model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00015-of-00019.safetensors",
|
| 537 |
+
"model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00015-of-00019.safetensors",
|
| 538 |
+
"model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00015-of-00019.safetensors",
|
| 539 |
+
"model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00015-of-00019.safetensors",
|
| 540 |
+
"model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00015-of-00019.safetensors",
|
| 541 |
+
"model.layers.24.block_sparse_moe.experts.2.w1.weight": "model-00015-of-00019.safetensors",
|
| 542 |
+
"model.layers.24.block_sparse_moe.experts.2.w2.weight": "model-00015-of-00019.safetensors",
|
| 543 |
+
"model.layers.24.block_sparse_moe.experts.2.w3.weight": "model-00015-of-00019.safetensors",
|
| 544 |
+
"model.layers.24.block_sparse_moe.experts.3.w1.weight": "model-00015-of-00019.safetensors",
|
| 545 |
+
"model.layers.24.block_sparse_moe.experts.3.w2.weight": "model-00015-of-00019.safetensors",
|
| 546 |
+
"model.layers.24.block_sparse_moe.experts.3.w3.weight": "model-00015-of-00019.safetensors",
|
| 547 |
+
"model.layers.24.block_sparse_moe.experts.4.w1.weight": "model-00015-of-00019.safetensors",
|
| 548 |
+
"model.layers.24.block_sparse_moe.experts.4.w2.weight": "model-00015-of-00019.safetensors",
|
| 549 |
+
"model.layers.24.block_sparse_moe.experts.4.w3.weight": "model-00015-of-00019.safetensors",
|
| 550 |
+
"model.layers.24.block_sparse_moe.experts.5.w1.weight": "model-00015-of-00019.safetensors",
|
| 551 |
+
"model.layers.24.block_sparse_moe.experts.5.w2.weight": "model-00015-of-00019.safetensors",
|
| 552 |
+
"model.layers.24.block_sparse_moe.experts.5.w3.weight": "model-00015-of-00019.safetensors",
|
| 553 |
+
"model.layers.24.block_sparse_moe.experts.6.w1.weight": "model-00015-of-00019.safetensors",
|
| 554 |
+
"model.layers.24.block_sparse_moe.experts.6.w2.weight": "model-00015-of-00019.safetensors",
|
| 555 |
+
"model.layers.24.block_sparse_moe.experts.6.w3.weight": "model-00015-of-00019.safetensors",
|
| 556 |
+
"model.layers.24.block_sparse_moe.experts.7.w1.weight": "model-00015-of-00019.safetensors",
|
| 557 |
+
"model.layers.24.block_sparse_moe.experts.7.w2.weight": "model-00015-of-00019.safetensors",
|
| 558 |
+
"model.layers.24.block_sparse_moe.experts.7.w3.weight": "model-00015-of-00019.safetensors",
|
| 559 |
+
"model.layers.24.block_sparse_moe.gate.weight": "model-00015-of-00019.safetensors",
|
| 560 |
+
"model.layers.24.input_layernorm.weight": "model-00015-of-00019.safetensors",
|
| 561 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00015-of-00019.safetensors",
|
| 562 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00015-of-00019.safetensors",
|
| 563 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00015-of-00019.safetensors",
|
| 564 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00015-of-00019.safetensors",
|
| 565 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00015-of-00019.safetensors",
|
| 566 |
+
"model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00015-of-00019.safetensors",
|
| 567 |
+
"model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00015-of-00019.safetensors",
|
| 568 |
+
"model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00015-of-00019.safetensors",
|
| 569 |
+
"model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00015-of-00019.safetensors",
|
| 570 |
+
"model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00015-of-00019.safetensors",
|
| 571 |
+
"model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00015-of-00019.safetensors",
|
| 572 |
+
"model.layers.25.block_sparse_moe.experts.2.w1.weight": "model-00015-of-00019.safetensors",
|
| 573 |
+
"model.layers.25.block_sparse_moe.experts.2.w2.weight": "model-00015-of-00019.safetensors",
|
| 574 |
+
"model.layers.25.block_sparse_moe.experts.2.w3.weight": "model-00015-of-00019.safetensors",
|
| 575 |
+
"model.layers.25.block_sparse_moe.experts.3.w1.weight": "model-00015-of-00019.safetensors",
|
| 576 |
+
"model.layers.25.block_sparse_moe.experts.3.w2.weight": "model-00015-of-00019.safetensors",
|
| 577 |
+
"model.layers.25.block_sparse_moe.experts.3.w3.weight": "model-00015-of-00019.safetensors",
|
| 578 |
+
"model.layers.25.block_sparse_moe.experts.4.w1.weight": "model-00016-of-00019.safetensors",
|
| 579 |
+
"model.layers.25.block_sparse_moe.experts.4.w2.weight": "model-00016-of-00019.safetensors",
|
| 580 |
+
"model.layers.25.block_sparse_moe.experts.4.w3.weight": "model-00016-of-00019.safetensors",
|
| 581 |
+
"model.layers.25.block_sparse_moe.experts.5.w1.weight": "model-00016-of-00019.safetensors",
|
| 582 |
+
"model.layers.25.block_sparse_moe.experts.5.w2.weight": "model-00016-of-00019.safetensors",
|
| 583 |
+
"model.layers.25.block_sparse_moe.experts.5.w3.weight": "model-00016-of-00019.safetensors",
|
| 584 |
+
"model.layers.25.block_sparse_moe.experts.6.w1.weight": "model-00016-of-00019.safetensors",
|
| 585 |
+
"model.layers.25.block_sparse_moe.experts.6.w2.weight": "model-00016-of-00019.safetensors",
|
| 586 |
+
"model.layers.25.block_sparse_moe.experts.6.w3.weight": "model-00016-of-00019.safetensors",
|
| 587 |
+
"model.layers.25.block_sparse_moe.experts.7.w1.weight": "model-00016-of-00019.safetensors",
|
| 588 |
+
"model.layers.25.block_sparse_moe.experts.7.w2.weight": "model-00016-of-00019.safetensors",
|
| 589 |
+
"model.layers.25.block_sparse_moe.experts.7.w3.weight": "model-00016-of-00019.safetensors",
|
| 590 |
+
"model.layers.25.block_sparse_moe.gate.weight": "model-00015-of-00019.safetensors",
|
| 591 |
+
"model.layers.25.input_layernorm.weight": "model-00016-of-00019.safetensors",
|
| 592 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00016-of-00019.safetensors",
|
| 593 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00015-of-00019.safetensors",
|
| 594 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00015-of-00019.safetensors",
|
| 595 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00015-of-00019.safetensors",
|
| 596 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00015-of-00019.safetensors",
|
| 597 |
+
"model.layers.26.block_sparse_moe.experts.0.w1.weight": "model-00016-of-00019.safetensors",
|
| 598 |
+
"model.layers.26.block_sparse_moe.experts.0.w2.weight": "model-00016-of-00019.safetensors",
|
| 599 |
+
"model.layers.26.block_sparse_moe.experts.0.w3.weight": "model-00016-of-00019.safetensors",
|
| 600 |
+
"model.layers.26.block_sparse_moe.experts.1.w1.weight": "model-00016-of-00019.safetensors",
|
| 601 |
+
"model.layers.26.block_sparse_moe.experts.1.w2.weight": "model-00016-of-00019.safetensors",
|
| 602 |
+
"model.layers.26.block_sparse_moe.experts.1.w3.weight": "model-00016-of-00019.safetensors",
|
| 603 |
+
"model.layers.26.block_sparse_moe.experts.2.w1.weight": "model-00016-of-00019.safetensors",
|
| 604 |
+
"model.layers.26.block_sparse_moe.experts.2.w2.weight": "model-00016-of-00019.safetensors",
|
| 605 |
+
"model.layers.26.block_sparse_moe.experts.2.w3.weight": "model-00016-of-00019.safetensors",
|
| 606 |
+
"model.layers.26.block_sparse_moe.experts.3.w1.weight": "model-00016-of-00019.safetensors",
|
| 607 |
+
"model.layers.26.block_sparse_moe.experts.3.w2.weight": "model-00016-of-00019.safetensors",
|
| 608 |
+
"model.layers.26.block_sparse_moe.experts.3.w3.weight": "model-00016-of-00019.safetensors",
|
| 609 |
+
"model.layers.26.block_sparse_moe.experts.4.w1.weight": "model-00016-of-00019.safetensors",
|
| 610 |
+
"model.layers.26.block_sparse_moe.experts.4.w2.weight": "model-00016-of-00019.safetensors",
|
| 611 |
+
"model.layers.26.block_sparse_moe.experts.4.w3.weight": "model-00016-of-00019.safetensors",
|
| 612 |
+
"model.layers.26.block_sparse_moe.experts.5.w1.weight": "model-00016-of-00019.safetensors",
|
| 613 |
+
"model.layers.26.block_sparse_moe.experts.5.w2.weight": "model-00016-of-00019.safetensors",
|
| 614 |
+
"model.layers.26.block_sparse_moe.experts.5.w3.weight": "model-00016-of-00019.safetensors",
|
| 615 |
+
"model.layers.26.block_sparse_moe.experts.6.w1.weight": "model-00016-of-00019.safetensors",
|
| 616 |
+
"model.layers.26.block_sparse_moe.experts.6.w2.weight": "model-00016-of-00019.safetensors",
|
| 617 |
+
"model.layers.26.block_sparse_moe.experts.6.w3.weight": "model-00016-of-00019.safetensors",
|
| 618 |
+
"model.layers.26.block_sparse_moe.experts.7.w1.weight": "model-00016-of-00019.safetensors",
|
| 619 |
+
"model.layers.26.block_sparse_moe.experts.7.w2.weight": "model-00016-of-00019.safetensors",
|
| 620 |
+
"model.layers.26.block_sparse_moe.experts.7.w3.weight": "model-00016-of-00019.safetensors",
|
| 621 |
+
"model.layers.26.block_sparse_moe.gate.weight": "model-00016-of-00019.safetensors",
|
| 622 |
+
"model.layers.26.input_layernorm.weight": "model-00016-of-00019.safetensors",
|
| 623 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00016-of-00019.safetensors",
|
| 624 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00016-of-00019.safetensors",
|
| 625 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00016-of-00019.safetensors",
|
| 626 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00016-of-00019.safetensors",
|
| 627 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00016-of-00019.safetensors",
|
| 628 |
+
"model.layers.27.block_sparse_moe.experts.0.w1.weight": "model-00016-of-00019.safetensors",
|
| 629 |
+
"model.layers.27.block_sparse_moe.experts.0.w2.weight": "model-00016-of-00019.safetensors",
|
| 630 |
+
"model.layers.27.block_sparse_moe.experts.0.w3.weight": "model-00016-of-00019.safetensors",
|
| 631 |
+
"model.layers.27.block_sparse_moe.experts.1.w1.weight": "model-00016-of-00019.safetensors",
|
| 632 |
+
"model.layers.27.block_sparse_moe.experts.1.w2.weight": "model-00016-of-00019.safetensors",
|
| 633 |
+
"model.layers.27.block_sparse_moe.experts.1.w3.weight": "model-00017-of-00019.safetensors",
|
| 634 |
+
"model.layers.27.block_sparse_moe.experts.2.w1.weight": "model-00017-of-00019.safetensors",
|
| 635 |
+
"model.layers.27.block_sparse_moe.experts.2.w2.weight": "model-00017-of-00019.safetensors",
|
| 636 |
+
"model.layers.27.block_sparse_moe.experts.2.w3.weight": "model-00017-of-00019.safetensors",
|
| 637 |
+
"model.layers.27.block_sparse_moe.experts.3.w1.weight": "model-00017-of-00019.safetensors",
|
| 638 |
+
"model.layers.27.block_sparse_moe.experts.3.w2.weight": "model-00017-of-00019.safetensors",
|
| 639 |
+
"model.layers.27.block_sparse_moe.experts.3.w3.weight": "model-00017-of-00019.safetensors",
|
| 640 |
+
"model.layers.27.block_sparse_moe.experts.4.w1.weight": "model-00017-of-00019.safetensors",
|
| 641 |
+
"model.layers.27.block_sparse_moe.experts.4.w2.weight": "model-00017-of-00019.safetensors",
|
| 642 |
+
"model.layers.27.block_sparse_moe.experts.4.w3.weight": "model-00017-of-00019.safetensors",
|
| 643 |
+
"model.layers.27.block_sparse_moe.experts.5.w1.weight": "model-00017-of-00019.safetensors",
|
| 644 |
+
"model.layers.27.block_sparse_moe.experts.5.w2.weight": "model-00017-of-00019.safetensors",
|
| 645 |
+
"model.layers.27.block_sparse_moe.experts.5.w3.weight": "model-00017-of-00019.safetensors",
|
| 646 |
+
"model.layers.27.block_sparse_moe.experts.6.w1.weight": "model-00017-of-00019.safetensors",
|
| 647 |
+
"model.layers.27.block_sparse_moe.experts.6.w2.weight": "model-00017-of-00019.safetensors",
|
| 648 |
+
"model.layers.27.block_sparse_moe.experts.6.w3.weight": "model-00017-of-00019.safetensors",
|
| 649 |
+
"model.layers.27.block_sparse_moe.experts.7.w1.weight": "model-00017-of-00019.safetensors",
|
| 650 |
+
"model.layers.27.block_sparse_moe.experts.7.w2.weight": "model-00017-of-00019.safetensors",
|
| 651 |
+
"model.layers.27.block_sparse_moe.experts.7.w3.weight": "model-00017-of-00019.safetensors",
|
| 652 |
+
"model.layers.27.block_sparse_moe.gate.weight": "model-00016-of-00019.safetensors",
|
| 653 |
+
"model.layers.27.input_layernorm.weight": "model-00017-of-00019.safetensors",
|
| 654 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00017-of-00019.safetensors",
|
| 655 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00016-of-00019.safetensors",
|
| 656 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00016-of-00019.safetensors",
|
| 657 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00016-of-00019.safetensors",
|
| 658 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00016-of-00019.safetensors",
|
| 659 |
+
"model.layers.28.block_sparse_moe.experts.0.w1.weight": "model-00017-of-00019.safetensors",
|
| 660 |
+
"model.layers.28.block_sparse_moe.experts.0.w2.weight": "model-00017-of-00019.safetensors",
|
| 661 |
+
"model.layers.28.block_sparse_moe.experts.0.w3.weight": "model-00017-of-00019.safetensors",
|
| 662 |
+
"model.layers.28.block_sparse_moe.experts.1.w1.weight": "model-00017-of-00019.safetensors",
|
| 663 |
+
"model.layers.28.block_sparse_moe.experts.1.w2.weight": "model-00017-of-00019.safetensors",
|
| 664 |
+
"model.layers.28.block_sparse_moe.experts.1.w3.weight": "model-00017-of-00019.safetensors",
|
| 665 |
+
"model.layers.28.block_sparse_moe.experts.2.w1.weight": "model-00017-of-00019.safetensors",
|
| 666 |
+
"model.layers.28.block_sparse_moe.experts.2.w2.weight": "model-00017-of-00019.safetensors",
|
| 667 |
+
"model.layers.28.block_sparse_moe.experts.2.w3.weight": "model-00017-of-00019.safetensors",
|
| 668 |
+
"model.layers.28.block_sparse_moe.experts.3.w1.weight": "model-00017-of-00019.safetensors",
|
| 669 |
+
"model.layers.28.block_sparse_moe.experts.3.w2.weight": "model-00017-of-00019.safetensors",
|
| 670 |
+
"model.layers.28.block_sparse_moe.experts.3.w3.weight": "model-00017-of-00019.safetensors",
|
| 671 |
+
"model.layers.28.block_sparse_moe.experts.4.w1.weight": "model-00017-of-00019.safetensors",
|
| 672 |
+
"model.layers.28.block_sparse_moe.experts.4.w2.weight": "model-00017-of-00019.safetensors",
|
| 673 |
+
"model.layers.28.block_sparse_moe.experts.4.w3.weight": "model-00017-of-00019.safetensors",
|
| 674 |
+
"model.layers.28.block_sparse_moe.experts.5.w1.weight": "model-00017-of-00019.safetensors",
|
| 675 |
+
"model.layers.28.block_sparse_moe.experts.5.w2.weight": "model-00017-of-00019.safetensors",
|
| 676 |
+
"model.layers.28.block_sparse_moe.experts.5.w3.weight": "model-00017-of-00019.safetensors",
|
| 677 |
+
"model.layers.28.block_sparse_moe.experts.6.w1.weight": "model-00017-of-00019.safetensors",
|
| 678 |
+
"model.layers.28.block_sparse_moe.experts.6.w2.weight": "model-00017-of-00019.safetensors",
|
| 679 |
+
"model.layers.28.block_sparse_moe.experts.6.w3.weight": "model-00017-of-00019.safetensors",
|
| 680 |
+
"model.layers.28.block_sparse_moe.experts.7.w1.weight": "model-00017-of-00019.safetensors",
|
| 681 |
+
"model.layers.28.block_sparse_moe.experts.7.w2.weight": "model-00018-of-00019.safetensors",
|
| 682 |
+
"model.layers.28.block_sparse_moe.experts.7.w3.weight": "model-00018-of-00019.safetensors",
|
| 683 |
+
"model.layers.28.block_sparse_moe.gate.weight": "model-00017-of-00019.safetensors",
|
| 684 |
+
"model.layers.28.input_layernorm.weight": "model-00018-of-00019.safetensors",
|
| 685 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00018-of-00019.safetensors",
|
| 686 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00017-of-00019.safetensors",
|
| 687 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00017-of-00019.safetensors",
|
| 688 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00017-of-00019.safetensors",
|
| 689 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00017-of-00019.safetensors",
|
| 690 |
+
"model.layers.29.block_sparse_moe.experts.0.w1.weight": "model-00018-of-00019.safetensors",
|
| 691 |
+
"model.layers.29.block_sparse_moe.experts.0.w2.weight": "model-00018-of-00019.safetensors",
|
| 692 |
+
"model.layers.29.block_sparse_moe.experts.0.w3.weight": "model-00018-of-00019.safetensors",
|
| 693 |
+
"model.layers.29.block_sparse_moe.experts.1.w1.weight": "model-00018-of-00019.safetensors",
|
| 694 |
+
"model.layers.29.block_sparse_moe.experts.1.w2.weight": "model-00018-of-00019.safetensors",
|
| 695 |
+
"model.layers.29.block_sparse_moe.experts.1.w3.weight": "model-00018-of-00019.safetensors",
|
| 696 |
+
"model.layers.29.block_sparse_moe.experts.2.w1.weight": "model-00018-of-00019.safetensors",
|
| 697 |
+
"model.layers.29.block_sparse_moe.experts.2.w2.weight": "model-00018-of-00019.safetensors",
|
| 698 |
+
"model.layers.29.block_sparse_moe.experts.2.w3.weight": "model-00018-of-00019.safetensors",
|
| 699 |
+
"model.layers.29.block_sparse_moe.experts.3.w1.weight": "model-00018-of-00019.safetensors",
|
| 700 |
+
"model.layers.29.block_sparse_moe.experts.3.w2.weight": "model-00018-of-00019.safetensors",
|
| 701 |
+
"model.layers.29.block_sparse_moe.experts.3.w3.weight": "model-00018-of-00019.safetensors",
|
| 702 |
+
"model.layers.29.block_sparse_moe.experts.4.w1.weight": "model-00018-of-00019.safetensors",
|
| 703 |
+
"model.layers.29.block_sparse_moe.experts.4.w2.weight": "model-00018-of-00019.safetensors",
|
| 704 |
+
"model.layers.29.block_sparse_moe.experts.4.w3.weight": "model-00018-of-00019.safetensors",
|
| 705 |
+
"model.layers.29.block_sparse_moe.experts.5.w1.weight": "model-00018-of-00019.safetensors",
|
| 706 |
+
"model.layers.29.block_sparse_moe.experts.5.w2.weight": "model-00018-of-00019.safetensors",
|
| 707 |
+
"model.layers.29.block_sparse_moe.experts.5.w3.weight": "model-00018-of-00019.safetensors",
|
| 708 |
+
"model.layers.29.block_sparse_moe.experts.6.w1.weight": "model-00018-of-00019.safetensors",
|
| 709 |
+
"model.layers.29.block_sparse_moe.experts.6.w2.weight": "model-00018-of-00019.safetensors",
|
| 710 |
+
"model.layers.29.block_sparse_moe.experts.6.w3.weight": "model-00018-of-00019.safetensors",
|
| 711 |
+
"model.layers.29.block_sparse_moe.experts.7.w1.weight": "model-00018-of-00019.safetensors",
|
| 712 |
+
"model.layers.29.block_sparse_moe.experts.7.w2.weight": "model-00018-of-00019.safetensors",
|
| 713 |
+
"model.layers.29.block_sparse_moe.experts.7.w3.weight": "model-00018-of-00019.safetensors",
|
| 714 |
+
"model.layers.29.block_sparse_moe.gate.weight": "model-00018-of-00019.safetensors",
|
| 715 |
+
"model.layers.29.input_layernorm.weight": "model-00018-of-00019.safetensors",
|
| 716 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00018-of-00019.safetensors",
|
| 717 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00018-of-00019.safetensors",
|
| 718 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00018-of-00019.safetensors",
|
| 719 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00018-of-00019.safetensors",
|
| 720 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00018-of-00019.safetensors",
|
| 721 |
+
"model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00019.safetensors",
|
| 722 |
+
"model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00019.safetensors",
|
| 723 |
+
"model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00019.safetensors",
|
| 724 |
+
"model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00019.safetensors",
|
| 725 |
+
"model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00019.safetensors",
|
| 726 |
+
"model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00019.safetensors",
|
| 727 |
+
"model.layers.3.block_sparse_moe.experts.2.w1.weight": "model-00002-of-00019.safetensors",
|
| 728 |
+
"model.layers.3.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00019.safetensors",
|
| 729 |
+
"model.layers.3.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00019.safetensors",
|
| 730 |
+
"model.layers.3.block_sparse_moe.experts.3.w1.weight": "model-00003-of-00019.safetensors",
|
| 731 |
+
"model.layers.3.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00019.safetensors",
|
| 732 |
+
"model.layers.3.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00019.safetensors",
|
| 733 |
+
"model.layers.3.block_sparse_moe.experts.4.w1.weight": "model-00003-of-00019.safetensors",
|
| 734 |
+
"model.layers.3.block_sparse_moe.experts.4.w2.weight": "model-00003-of-00019.safetensors",
|
| 735 |
+
"model.layers.3.block_sparse_moe.experts.4.w3.weight": "model-00003-of-00019.safetensors",
|
| 736 |
+
"model.layers.3.block_sparse_moe.experts.5.w1.weight": "model-00003-of-00019.safetensors",
|
| 737 |
+
"model.layers.3.block_sparse_moe.experts.5.w2.weight": "model-00003-of-00019.safetensors",
|
| 738 |
+
"model.layers.3.block_sparse_moe.experts.5.w3.weight": "model-00003-of-00019.safetensors",
|
| 739 |
+
"model.layers.3.block_sparse_moe.experts.6.w1.weight": "model-00003-of-00019.safetensors",
|
| 740 |
+
"model.layers.3.block_sparse_moe.experts.6.w2.weight": "model-00003-of-00019.safetensors",
|
| 741 |
+
"model.layers.3.block_sparse_moe.experts.6.w3.weight": "model-00003-of-00019.safetensors",
|
| 742 |
+
"model.layers.3.block_sparse_moe.experts.7.w1.weight": "model-00003-of-00019.safetensors",
|
| 743 |
+
"model.layers.3.block_sparse_moe.experts.7.w2.weight": "model-00003-of-00019.safetensors",
|
| 744 |
+
"model.layers.3.block_sparse_moe.experts.7.w3.weight": "model-00003-of-00019.safetensors",
|
| 745 |
+
"model.layers.3.block_sparse_moe.gate.weight": "model-00002-of-00019.safetensors",
|
| 746 |
+
"model.layers.3.input_layernorm.weight": "model-00003-of-00019.safetensors",
|
| 747 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00003-of-00019.safetensors",
|
| 748 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00002-of-00019.safetensors",
|
| 749 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00019.safetensors",
|
| 750 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00002-of-00019.safetensors",
|
| 751 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00002-of-00019.safetensors",
|
| 752 |
+
"model.layers.30.block_sparse_moe.experts.0.w1.weight": "model-00018-of-00019.safetensors",
|
| 753 |
+
"model.layers.30.block_sparse_moe.experts.0.w2.weight": "model-00018-of-00019.safetensors",
|
| 754 |
+
"model.layers.30.block_sparse_moe.experts.0.w3.weight": "model-00018-of-00019.safetensors",
|
| 755 |
+
"model.layers.30.block_sparse_moe.experts.1.w1.weight": "model-00018-of-00019.safetensors",
|
| 756 |
+
"model.layers.30.block_sparse_moe.experts.1.w2.weight": "model-00018-of-00019.safetensors",
|
| 757 |
+
"model.layers.30.block_sparse_moe.experts.1.w3.weight": "model-00018-of-00019.safetensors",
|
| 758 |
+
"model.layers.30.block_sparse_moe.experts.2.w1.weight": "model-00018-of-00019.safetensors",
|
| 759 |
+
"model.layers.30.block_sparse_moe.experts.2.w2.weight": "model-00018-of-00019.safetensors",
|
| 760 |
+
"model.layers.30.block_sparse_moe.experts.2.w3.weight": "model-00018-of-00019.safetensors",
|
| 761 |
+
"model.layers.30.block_sparse_moe.experts.3.w1.weight": "model-00018-of-00019.safetensors",
|
| 762 |
+
"model.layers.30.block_sparse_moe.experts.3.w2.weight": "model-00018-of-00019.safetensors",
|
| 763 |
+
"model.layers.30.block_sparse_moe.experts.3.w3.weight": "model-00018-of-00019.safetensors",
|
| 764 |
+
"model.layers.30.block_sparse_moe.experts.4.w1.weight": "model-00018-of-00019.safetensors",
|
| 765 |
+
"model.layers.30.block_sparse_moe.experts.4.w2.weight": "model-00018-of-00019.safetensors",
|
| 766 |
+
"model.layers.30.block_sparse_moe.experts.4.w3.weight": "model-00018-of-00019.safetensors",
|
| 767 |
+
"model.layers.30.block_sparse_moe.experts.5.w1.weight": "model-00019-of-00019.safetensors",
|
| 768 |
+
"model.layers.30.block_sparse_moe.experts.5.w2.weight": "model-00019-of-00019.safetensors",
|
| 769 |
+
"model.layers.30.block_sparse_moe.experts.5.w3.weight": "model-00019-of-00019.safetensors",
|
| 770 |
+
"model.layers.30.block_sparse_moe.experts.6.w1.weight": "model-00019-of-00019.safetensors",
|
| 771 |
+
"model.layers.30.block_sparse_moe.experts.6.w2.weight": "model-00019-of-00019.safetensors",
|
| 772 |
+
"model.layers.30.block_sparse_moe.experts.6.w3.weight": "model-00019-of-00019.safetensors",
|
| 773 |
+
"model.layers.30.block_sparse_moe.experts.7.w1.weight": "model-00019-of-00019.safetensors",
|
| 774 |
+
"model.layers.30.block_sparse_moe.experts.7.w2.weight": "model-00019-of-00019.safetensors",
|
| 775 |
+
"model.layers.30.block_sparse_moe.experts.7.w3.weight": "model-00019-of-00019.safetensors",
|
| 776 |
+
"model.layers.30.block_sparse_moe.gate.weight": "model-00018-of-00019.safetensors",
|
| 777 |
+
"model.layers.30.input_layernorm.weight": "model-00019-of-00019.safetensors",
|
| 778 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00019-of-00019.safetensors",
|
| 779 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00018-of-00019.safetensors",
|
| 780 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00018-of-00019.safetensors",
|
| 781 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00018-of-00019.safetensors",
|
| 782 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00018-of-00019.safetensors",
|
| 783 |
+
"model.layers.31.block_sparse_moe.experts.0.w1.weight": "model-00019-of-00019.safetensors",
|
| 784 |
+
"model.layers.31.block_sparse_moe.experts.0.w2.weight": "model-00019-of-00019.safetensors",
|
| 785 |
+
"model.layers.31.block_sparse_moe.experts.0.w3.weight": "model-00019-of-00019.safetensors",
|
| 786 |
+
"model.layers.31.block_sparse_moe.experts.1.w1.weight": "model-00019-of-00019.safetensors",
|
| 787 |
+
"model.layers.31.block_sparse_moe.experts.1.w2.weight": "model-00019-of-00019.safetensors",
|
| 788 |
+
"model.layers.31.block_sparse_moe.experts.1.w3.weight": "model-00019-of-00019.safetensors",
|
| 789 |
+
"model.layers.31.block_sparse_moe.experts.2.w1.weight": "model-00019-of-00019.safetensors",
|
| 790 |
+
"model.layers.31.block_sparse_moe.experts.2.w2.weight": "model-00019-of-00019.safetensors",
|
| 791 |
+
"model.layers.31.block_sparse_moe.experts.2.w3.weight": "model-00019-of-00019.safetensors",
|
| 792 |
+
"model.layers.31.block_sparse_moe.experts.3.w1.weight": "model-00019-of-00019.safetensors",
|
| 793 |
+
"model.layers.31.block_sparse_moe.experts.3.w2.weight": "model-00019-of-00019.safetensors",
|
| 794 |
+
"model.layers.31.block_sparse_moe.experts.3.w3.weight": "model-00019-of-00019.safetensors",
|
| 795 |
+
"model.layers.31.block_sparse_moe.experts.4.w1.weight": "model-00019-of-00019.safetensors",
|
| 796 |
+
"model.layers.31.block_sparse_moe.experts.4.w2.weight": "model-00019-of-00019.safetensors",
|
| 797 |
+
"model.layers.31.block_sparse_moe.experts.4.w3.weight": "model-00019-of-00019.safetensors",
|
| 798 |
+
"model.layers.31.block_sparse_moe.experts.5.w1.weight": "model-00019-of-00019.safetensors",
|
| 799 |
+
"model.layers.31.block_sparse_moe.experts.5.w2.weight": "model-00019-of-00019.safetensors",
|
| 800 |
+
"model.layers.31.block_sparse_moe.experts.5.w3.weight": "model-00019-of-00019.safetensors",
|
| 801 |
+
"model.layers.31.block_sparse_moe.experts.6.w1.weight": "model-00019-of-00019.safetensors",
|
| 802 |
+
"model.layers.31.block_sparse_moe.experts.6.w2.weight": "model-00019-of-00019.safetensors",
|
| 803 |
+
"model.layers.31.block_sparse_moe.experts.6.w3.weight": "model-00019-of-00019.safetensors",
|
| 804 |
+
"model.layers.31.block_sparse_moe.experts.7.w1.weight": "model-00019-of-00019.safetensors",
|
| 805 |
+
"model.layers.31.block_sparse_moe.experts.7.w2.weight": "model-00019-of-00019.safetensors",
|
| 806 |
+
"model.layers.31.block_sparse_moe.experts.7.w3.weight": "model-00019-of-00019.safetensors",
|
| 807 |
+
"model.layers.31.block_sparse_moe.gate.weight": "model-00019-of-00019.safetensors",
|
| 808 |
+
"model.layers.31.input_layernorm.weight": "model-00019-of-00019.safetensors",
|
| 809 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00019-of-00019.safetensors",
|
| 810 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00019-of-00019.safetensors",
|
| 811 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00019-of-00019.safetensors",
|
| 812 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00019-of-00019.safetensors",
|
| 813 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00019-of-00019.safetensors",
|
| 814 |
+
"model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00019.safetensors",
|
| 815 |
+
"model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00019.safetensors",
|
| 816 |
+
"model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00019.safetensors",
|
| 817 |
+
"model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00019.safetensors",
|
| 818 |
+
"model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00019.safetensors",
|
| 819 |
+
"model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00019.safetensors",
|
| 820 |
+
"model.layers.4.block_sparse_moe.experts.2.w1.weight": "model-00003-of-00019.safetensors",
|
| 821 |
+
"model.layers.4.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00019.safetensors",
|
| 822 |
+
"model.layers.4.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00019.safetensors",
|
| 823 |
+
"model.layers.4.block_sparse_moe.experts.3.w1.weight": "model-00003-of-00019.safetensors",
|
| 824 |
+
"model.layers.4.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00019.safetensors",
|
| 825 |
+
"model.layers.4.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00019.safetensors",
|
| 826 |
+
"model.layers.4.block_sparse_moe.experts.4.w1.weight": "model-00003-of-00019.safetensors",
|
| 827 |
+
"model.layers.4.block_sparse_moe.experts.4.w2.weight": "model-00003-of-00019.safetensors",
|
| 828 |
+
"model.layers.4.block_sparse_moe.experts.4.w3.weight": "model-00003-of-00019.safetensors",
|
| 829 |
+
"model.layers.4.block_sparse_moe.experts.5.w1.weight": "model-00003-of-00019.safetensors",
|
| 830 |
+
"model.layers.4.block_sparse_moe.experts.5.w2.weight": "model-00003-of-00019.safetensors",
|
| 831 |
+
"model.layers.4.block_sparse_moe.experts.5.w3.weight": "model-00003-of-00019.safetensors",
|
| 832 |
+
"model.layers.4.block_sparse_moe.experts.6.w1.weight": "model-00003-of-00019.safetensors",
|
| 833 |
+
"model.layers.4.block_sparse_moe.experts.6.w2.weight": "model-00003-of-00019.safetensors",
|
| 834 |
+
"model.layers.4.block_sparse_moe.experts.6.w3.weight": "model-00003-of-00019.safetensors",
|
| 835 |
+
"model.layers.4.block_sparse_moe.experts.7.w1.weight": "model-00003-of-00019.safetensors",
|
| 836 |
+
"model.layers.4.block_sparse_moe.experts.7.w2.weight": "model-00003-of-00019.safetensors",
|
| 837 |
+
"model.layers.4.block_sparse_moe.experts.7.w3.weight": "model-00003-of-00019.safetensors",
|
| 838 |
+
"model.layers.4.block_sparse_moe.gate.weight": "model-00003-of-00019.safetensors",
|
| 839 |
+
"model.layers.4.input_layernorm.weight": "model-00003-of-00019.safetensors",
|
| 840 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00003-of-00019.safetensors",
|
| 841 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00003-of-00019.safetensors",
|
| 842 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00003-of-00019.safetensors",
|
| 843 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00003-of-00019.safetensors",
|
| 844 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00003-of-00019.safetensors",
|
| 845 |
+
"model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00019.safetensors",
|
| 846 |
+
"model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00019.safetensors",
|
| 847 |
+
"model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00004-of-00019.safetensors",
|
| 848 |
+
"model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00019.safetensors",
|
| 849 |
+
"model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00019.safetensors",
|
| 850 |
+
"model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00004-of-00019.safetensors",
|
| 851 |
+
"model.layers.5.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00019.safetensors",
|
| 852 |
+
"model.layers.5.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00019.safetensors",
|
| 853 |
+
"model.layers.5.block_sparse_moe.experts.2.w3.weight": "model-00004-of-00019.safetensors",
|
| 854 |
+
"model.layers.5.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00019.safetensors",
|
| 855 |
+
"model.layers.5.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00019.safetensors",
|
| 856 |
+
"model.layers.5.block_sparse_moe.experts.3.w3.weight": "model-00004-of-00019.safetensors",
|
| 857 |
+
"model.layers.5.block_sparse_moe.experts.4.w1.weight": "model-00004-of-00019.safetensors",
|
| 858 |
+
"model.layers.5.block_sparse_moe.experts.4.w2.weight": "model-00004-of-00019.safetensors",
|
| 859 |
+
"model.layers.5.block_sparse_moe.experts.4.w3.weight": "model-00004-of-00019.safetensors",
|
| 860 |
+
"model.layers.5.block_sparse_moe.experts.5.w1.weight": "model-00004-of-00019.safetensors",
|
| 861 |
+
"model.layers.5.block_sparse_moe.experts.5.w2.weight": "model-00004-of-00019.safetensors",
|
| 862 |
+
"model.layers.5.block_sparse_moe.experts.5.w3.weight": "model-00004-of-00019.safetensors",
|
| 863 |
+
"model.layers.5.block_sparse_moe.experts.6.w1.weight": "model-00004-of-00019.safetensors",
|
| 864 |
+
"model.layers.5.block_sparse_moe.experts.6.w2.weight": "model-00004-of-00019.safetensors",
|
| 865 |
+
"model.layers.5.block_sparse_moe.experts.6.w3.weight": "model-00004-of-00019.safetensors",
|
| 866 |
+
"model.layers.5.block_sparse_moe.experts.7.w1.weight": "model-00004-of-00019.safetensors",
|
| 867 |
+
"model.layers.5.block_sparse_moe.experts.7.w2.weight": "model-00004-of-00019.safetensors",
|
| 868 |
+
"model.layers.5.block_sparse_moe.experts.7.w3.weight": "model-00004-of-00019.safetensors",
|
| 869 |
+
"model.layers.5.block_sparse_moe.gate.weight": "model-00003-of-00019.safetensors",
|
| 870 |
+
"model.layers.5.input_layernorm.weight": "model-00004-of-00019.safetensors",
|
| 871 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00004-of-00019.safetensors",
|
| 872 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00003-of-00019.safetensors",
|
| 873 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00003-of-00019.safetensors",
|
| 874 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00003-of-00019.safetensors",
|
| 875 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00003-of-00019.safetensors",
|
| 876 |
+
"model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00019.safetensors",
|
| 877 |
+
"model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00019.safetensors",
|
| 878 |
+
"model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00004-of-00019.safetensors",
|
| 879 |
+
"model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00019.safetensors",
|
| 880 |
+
"model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00019.safetensors",
|
| 881 |
+
"model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00004-of-00019.safetensors",
|
| 882 |
+
"model.layers.6.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00019.safetensors",
|
| 883 |
+
"model.layers.6.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00019.safetensors",
|
| 884 |
+
"model.layers.6.block_sparse_moe.experts.2.w3.weight": "model-00004-of-00019.safetensors",
|
| 885 |
+
"model.layers.6.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00019.safetensors",
|
| 886 |
+
"model.layers.6.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00019.safetensors",
|
| 887 |
+
"model.layers.6.block_sparse_moe.experts.3.w3.weight": "model-00004-of-00019.safetensors",
|
| 888 |
+
"model.layers.6.block_sparse_moe.experts.4.w1.weight": "model-00004-of-00019.safetensors",
|
| 889 |
+
"model.layers.6.block_sparse_moe.experts.4.w2.weight": "model-00004-of-00019.safetensors",
|
| 890 |
+
"model.layers.6.block_sparse_moe.experts.4.w3.weight": "model-00004-of-00019.safetensors",
|
| 891 |
+
"model.layers.6.block_sparse_moe.experts.5.w1.weight": "model-00004-of-00019.safetensors",
|
| 892 |
+
"model.layers.6.block_sparse_moe.experts.5.w2.weight": "model-00004-of-00019.safetensors",
|
| 893 |
+
"model.layers.6.block_sparse_moe.experts.5.w3.weight": "model-00005-of-00019.safetensors",
|
| 894 |
+
"model.layers.6.block_sparse_moe.experts.6.w1.weight": "model-00005-of-00019.safetensors",
|
| 895 |
+
"model.layers.6.block_sparse_moe.experts.6.w2.weight": "model-00005-of-00019.safetensors",
|
| 896 |
+
"model.layers.6.block_sparse_moe.experts.6.w3.weight": "model-00005-of-00019.safetensors",
|
| 897 |
+
"model.layers.6.block_sparse_moe.experts.7.w1.weight": "model-00005-of-00019.safetensors",
|
| 898 |
+
"model.layers.6.block_sparse_moe.experts.7.w2.weight": "model-00005-of-00019.safetensors",
|
| 899 |
+
"model.layers.6.block_sparse_moe.experts.7.w3.weight": "model-00005-of-00019.safetensors",
|
| 900 |
+
"model.layers.6.block_sparse_moe.gate.weight": "model-00004-of-00019.safetensors",
|
| 901 |
+
"model.layers.6.input_layernorm.weight": "model-00005-of-00019.safetensors",
|
| 902 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00005-of-00019.safetensors",
|
| 903 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00004-of-00019.safetensors",
|
| 904 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00004-of-00019.safetensors",
|
| 905 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00004-of-00019.safetensors",
|
| 906 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00004-of-00019.safetensors",
|
| 907 |
+
"model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00019.safetensors",
|
| 908 |
+
"model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00019.safetensors",
|
| 909 |
+
"model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00005-of-00019.safetensors",
|
| 910 |
+
"model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00019.safetensors",
|
| 911 |
+
"model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00019.safetensors",
|
| 912 |
+
"model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00005-of-00019.safetensors",
|
| 913 |
+
"model.layers.7.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00019.safetensors",
|
| 914 |
+
"model.layers.7.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00019.safetensors",
|
| 915 |
+
"model.layers.7.block_sparse_moe.experts.2.w3.weight": "model-00005-of-00019.safetensors",
|
| 916 |
+
"model.layers.7.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00019.safetensors",
|
| 917 |
+
"model.layers.7.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00019.safetensors",
|
| 918 |
+
"model.layers.7.block_sparse_moe.experts.3.w3.weight": "model-00005-of-00019.safetensors",
|
| 919 |
+
"model.layers.7.block_sparse_moe.experts.4.w1.weight": "model-00005-of-00019.safetensors",
|
| 920 |
+
"model.layers.7.block_sparse_moe.experts.4.w2.weight": "model-00005-of-00019.safetensors",
|
| 921 |
+
"model.layers.7.block_sparse_moe.experts.4.w3.weight": "model-00005-of-00019.safetensors",
|
| 922 |
+
"model.layers.7.block_sparse_moe.experts.5.w1.weight": "model-00005-of-00019.safetensors",
|
| 923 |
+
"model.layers.7.block_sparse_moe.experts.5.w2.weight": "model-00005-of-00019.safetensors",
|
| 924 |
+
"model.layers.7.block_sparse_moe.experts.5.w3.weight": "model-00005-of-00019.safetensors",
|
| 925 |
+
"model.layers.7.block_sparse_moe.experts.6.w1.weight": "model-00005-of-00019.safetensors",
|
| 926 |
+
"model.layers.7.block_sparse_moe.experts.6.w2.weight": "model-00005-of-00019.safetensors",
|
| 927 |
+
"model.layers.7.block_sparse_moe.experts.6.w3.weight": "model-00005-of-00019.safetensors",
|
| 928 |
+
"model.layers.7.block_sparse_moe.experts.7.w1.weight": "model-00005-of-00019.safetensors",
|
| 929 |
+
"model.layers.7.block_sparse_moe.experts.7.w2.weight": "model-00005-of-00019.safetensors",
|
| 930 |
+
"model.layers.7.block_sparse_moe.experts.7.w3.weight": "model-00005-of-00019.safetensors",
|
| 931 |
+
"model.layers.7.block_sparse_moe.gate.weight": "model-00005-of-00019.safetensors",
|
| 932 |
+
"model.layers.7.input_layernorm.weight": "model-00005-of-00019.safetensors",
|
| 933 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00005-of-00019.safetensors",
|
| 934 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00005-of-00019.safetensors",
|
| 935 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00005-of-00019.safetensors",
|
| 936 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00005-of-00019.safetensors",
|
| 937 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00005-of-00019.safetensors",
|
| 938 |
+
"model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00019.safetensors",
|
| 939 |
+
"model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00019.safetensors",
|
| 940 |
+
"model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00005-of-00019.safetensors",
|
| 941 |
+
"model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00019.safetensors",
|
| 942 |
+
"model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00019.safetensors",
|
| 943 |
+
"model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00005-of-00019.safetensors",
|
| 944 |
+
"model.layers.8.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00019.safetensors",
|
| 945 |
+
"model.layers.8.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00019.safetensors",
|
| 946 |
+
"model.layers.8.block_sparse_moe.experts.2.w3.weight": "model-00005-of-00019.safetensors",
|
| 947 |
+
"model.layers.8.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00019.safetensors",
|
| 948 |
+
"model.layers.8.block_sparse_moe.experts.3.w2.weight": "model-00006-of-00019.safetensors",
|
| 949 |
+
"model.layers.8.block_sparse_moe.experts.3.w3.weight": "model-00006-of-00019.safetensors",
|
| 950 |
+
"model.layers.8.block_sparse_moe.experts.4.w1.weight": "model-00006-of-00019.safetensors",
|
| 951 |
+
"model.layers.8.block_sparse_moe.experts.4.w2.weight": "model-00006-of-00019.safetensors",
|
| 952 |
+
"model.layers.8.block_sparse_moe.experts.4.w3.weight": "model-00006-of-00019.safetensors",
|
| 953 |
+
"model.layers.8.block_sparse_moe.experts.5.w1.weight": "model-00006-of-00019.safetensors",
|
| 954 |
+
"model.layers.8.block_sparse_moe.experts.5.w2.weight": "model-00006-of-00019.safetensors",
|
| 955 |
+
"model.layers.8.block_sparse_moe.experts.5.w3.weight": "model-00006-of-00019.safetensors",
|
| 956 |
+
"model.layers.8.block_sparse_moe.experts.6.w1.weight": "model-00006-of-00019.safetensors",
|
| 957 |
+
"model.layers.8.block_sparse_moe.experts.6.w2.weight": "model-00006-of-00019.safetensors",
|
| 958 |
+
"model.layers.8.block_sparse_moe.experts.6.w3.weight": "model-00006-of-00019.safetensors",
|
| 959 |
+
"model.layers.8.block_sparse_moe.experts.7.w1.weight": "model-00006-of-00019.safetensors",
|
| 960 |
+
"model.layers.8.block_sparse_moe.experts.7.w2.weight": "model-00006-of-00019.safetensors",
|
| 961 |
+
"model.layers.8.block_sparse_moe.experts.7.w3.weight": "model-00006-of-00019.safetensors",
|
| 962 |
+
"model.layers.8.block_sparse_moe.gate.weight": "model-00005-of-00019.safetensors",
|
| 963 |
+
"model.layers.8.input_layernorm.weight": "model-00006-of-00019.safetensors",
|
| 964 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00006-of-00019.safetensors",
|
| 965 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00005-of-00019.safetensors",
|
| 966 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00005-of-00019.safetensors",
|
| 967 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00005-of-00019.safetensors",
|
| 968 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00005-of-00019.safetensors",
|
| 969 |
+
"model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00019.safetensors",
|
| 970 |
+
"model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00006-of-00019.safetensors",
|
| 971 |
+
"model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00006-of-00019.safetensors",
|
| 972 |
+
"model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00019.safetensors",
|
| 973 |
+
"model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00006-of-00019.safetensors",
|
| 974 |
+
"model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00006-of-00019.safetensors",
|
| 975 |
+
"model.layers.9.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00019.safetensors",
|
| 976 |
+
"model.layers.9.block_sparse_moe.experts.2.w2.weight": "model-00006-of-00019.safetensors",
|
| 977 |
+
"model.layers.9.block_sparse_moe.experts.2.w3.weight": "model-00006-of-00019.safetensors",
|
| 978 |
+
"model.layers.9.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00019.safetensors",
|
| 979 |
+
"model.layers.9.block_sparse_moe.experts.3.w2.weight": "model-00006-of-00019.safetensors",
|
| 980 |
+
"model.layers.9.block_sparse_moe.experts.3.w3.weight": "model-00006-of-00019.safetensors",
|
| 981 |
+
"model.layers.9.block_sparse_moe.experts.4.w1.weight": "model-00006-of-00019.safetensors",
|
| 982 |
+
"model.layers.9.block_sparse_moe.experts.4.w2.weight": "model-00006-of-00019.safetensors",
|
| 983 |
+
"model.layers.9.block_sparse_moe.experts.4.w3.weight": "model-00006-of-00019.safetensors",
|
| 984 |
+
"model.layers.9.block_sparse_moe.experts.5.w1.weight": "model-00006-of-00019.safetensors",
|
| 985 |
+
"model.layers.9.block_sparse_moe.experts.5.w2.weight": "model-00006-of-00019.safetensors",
|
| 986 |
+
"model.layers.9.block_sparse_moe.experts.5.w3.weight": "model-00006-of-00019.safetensors",
|
| 987 |
+
"model.layers.9.block_sparse_moe.experts.6.w1.weight": "model-00006-of-00019.safetensors",
|
| 988 |
+
"model.layers.9.block_sparse_moe.experts.6.w2.weight": "model-00006-of-00019.safetensors",
|
| 989 |
+
"model.layers.9.block_sparse_moe.experts.6.w3.weight": "model-00006-of-00019.safetensors",
|
| 990 |
+
"model.layers.9.block_sparse_moe.experts.7.w1.weight": "model-00006-of-00019.safetensors",
|
| 991 |
+
"model.layers.9.block_sparse_moe.experts.7.w2.weight": "model-00006-of-00019.safetensors",
|
| 992 |
+
"model.layers.9.block_sparse_moe.experts.7.w3.weight": "model-00006-of-00019.safetensors",
|
| 993 |
+
"model.layers.9.block_sparse_moe.gate.weight": "model-00006-of-00019.safetensors",
|
| 994 |
+
"model.layers.9.input_layernorm.weight": "model-00006-of-00019.safetensors",
|
| 995 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00006-of-00019.safetensors",
|
| 996 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00006-of-00019.safetensors",
|
| 997 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00006-of-00019.safetensors",
|
| 998 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00006-of-00019.safetensors",
|
| 999 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00006-of-00019.safetensors",
|
| 1000 |
+
"model.norm.weight": "model-00019-of-00019.safetensors"
|
| 1001 |
+
}
|
| 1002 |
+
}
|
output-00001-of-00005.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:878e73385228389512252efde0f51c65e2eb2b2610410b9b7beafc5abf2865f4
|
| 3 |
+
size 8567894640
|
output-00002-of-00005.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08af6f8de78b31ac60a72c02a4bdb71fffeb2d73f3203a7b9db8805e9cc94389
|
| 3 |
+
size 8552083416
|
output-00003-of-00005.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e3876357417840060da9320795ca6d3c79f4a31a371910059984b20ea58d427
|
| 3 |
+
size 8566355400
|
output-00004-of-00005.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c75ce60a0ffe607d4171559ace1837dedbeb8ae205e074fe517f0e0057a0274d
|
| 3 |
+
size 8570601080
|
output-00005-of-00005.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6e9d798ce374bd2c586e6c9c9003bf0945de56169172a429c3783c3793c1708
|
| 3 |
+
size 926046704
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"unk_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user\\'s questions.' %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{% set content = 'User: ' + message['content'].strip() + '\\n' %}{% elif message['role'] == 'system' %}{% set content = message['content'].strip() + '\\n' %}{% elif message['role'] == 'assistant' %}{% set content = 'AI: ' + message['content'].strip() + '\\n' %}{% endif %}{% if loop.index0 == 0 %}{{ bos_token + system_message + '\\n' + content }}{% else %}{{ content | replace(eos_token, '') }}{% endif %}{% if loop.last and add_generation_prompt %}{{ 'AI:' }}{% endif %}{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
+
"pad_token": null,
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"spaces_between_special_tokens": false,
|
| 40 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 41 |
+
"unk_token": "<unk>",
|
| 42 |
+
"use_default_system_prompt": false
|
| 43 |
+
}
|