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Browse files- README.md +63 -0
- cl100k_base.tiktoken +0 -0
- config.json +187 -0
- mergekit_config.yml +17 -0
- model-00001-of-00018.safetensors +3 -0
- model-00002-of-00018.safetensors +3 -0
- model-00003-of-00018.safetensors +3 -0
- model-00004-of-00018.safetensors +3 -0
- model-00005-of-00018.safetensors +3 -0
- model-00006-of-00018.safetensors +3 -0
- model-00007-of-00018.safetensors +3 -0
- model-00008-of-00018.safetensors +3 -0
- model-00009-of-00018.safetensors +3 -0
- model-00010-of-00018.safetensors +3 -0
- model-00011-of-00018.safetensors +3 -0
- model-00012-of-00018.safetensors +3 -0
- model-00013-of-00018.safetensors +3 -0
- model-00014-of-00018.safetensors +3 -0
- model-00015-of-00018.safetensors +3 -0
- model-00016-of-00018.safetensors +3 -0
- model-00017-of-00018.safetensors +3 -0
- model-00018-of-00018.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +5 -0
- tokenizer_config.json +20 -0
README.md
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---
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base_model:
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- microsoft/Phi-3-small-128k-instruct
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- microsoft/Phi-3-small-8k-instruct
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tags:
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- merge
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- mergekit
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- lazymergekit
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- microsoft/Phi-3-small-128k-instruct
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- microsoft/Phi-3-small-8k-instruct
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---
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# PRYMMAL-ECE-7B-SLERP-V1
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PRYMMAL-ECE-7B-SLERP-V1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [microsoft/Phi-3-small-128k-instruct](https://huggingface.co/microsoft/Phi-3-small-128k-instruct)
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* [microsoft/Phi-3-small-8k-instruct](https://huggingface.co/microsoft/Phi-3-small-8k-instruct)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: microsoft/Phi-3-small-128k-instruct
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layer_range: [0, 32]
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- model: microsoft/Phi-3-small-8k-instruct
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layer_range: [0, 32]
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merge_method: slerp
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base_model: microsoft/Phi-3-small-128k-instruct
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "LilRg/PRYMMAL-ECE-7B-SLERP-V1"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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cl100k_base.tiktoken
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config.json
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{
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"_name_or_path": "microsoft/Phi-3-small-128k-instruct",
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"architectures": [
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"Phi3SmallForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout_prob": 0.0,
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"auto_map": {
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"AutoConfig": "microsoft/Phi-3-small-128k-instruct--configuration_phi3_small.Phi3SmallConfig",
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"AutoModelForCausalLM": "microsoft/Phi-3-small-128k-instruct--modeling_phi3_small.Phi3SmallForCausalLM",
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"AutoTokenizer": "microsoft/Phi-3-small-128k-instruct--tokenization_phi3_small.Phi3SmallTokenizer"
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},
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"blocksparse_block_size": 64,
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"blocksparse_homo_head_pattern": false,
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"blocksparse_num_local_blocks": 16,
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"blocksparse_triton_kernel_block_size": 64,
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"blocksparse_vert_stride": 8,
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"bos_token_id": 100257,
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"dense_attention_every_n_layers": 2,
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"embedding_dropout_prob": 0.1,
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"eos_token_id": 100257,
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"ff_dim_multiplier": null,
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"ff_intermediate_size": 14336,
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"ffn_dropout_prob": 0.1,
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"gegelu_limit": 20.0,
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"gegelu_pad_to_256": true,
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"hidden_act": "gegelu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 131072,
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"model_type": "phi3small",
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"mup_attn_multiplier": 1.0,
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"mup_embedding_multiplier": 10.0,
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"mup_use_scaling": true,
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"mup_width_multiplier": 8.0,
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"original_max_position_embeddings": 8192,
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"pad_sequence_to_multiple_of_64": true,
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"reorder_and_upcast_attn": false,
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"rope_embedding_base": 1000000,
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"rope_position_scale": 1.0,
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"rope_scaling": {
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"long_factor": [
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1.0,
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1.01,
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1.01,
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1.02,
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1.04,
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1.04,
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1.04,
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1.05,
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1.05,
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1.06,
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1.07,
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1.08,
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1.08,
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1.08,
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1.08,
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1.08,
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1.08,
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1.08,
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1.09,
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1.09,
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1.2,
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2.31,
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3.76,
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9.38,
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10.1,
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10.8,
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18.1,
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25.2,
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25.3,
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26.1,
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26.6,
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30.2,
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33.0,
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41.5,
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44.4,
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44.8,
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50.2,
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51.9,
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59.3,
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62.7,
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66.1,
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66.3,
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85.8,
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89.3,
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90.0,
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99.9,
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107.0,
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110.0,
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111.0,
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117.0,
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118.0,
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121.0,
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122.0,
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127.0,
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127.0,
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128.0,
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128.0,
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128.0,
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128.0,
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128.0,
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128.0,
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129.0,
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129.0,
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129.0
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"long_mscale": 1.1902380714238083,
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"original_max_position_embeddings": 8192,
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|
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],
|
180 |
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"short_mscale": 1.0,
|
181 |
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"type": "su"
|
182 |
+
},
|
183 |
+
"torch_dtype": "bfloat16",
|
184 |
+
"transformers_version": "4.44.2",
|
185 |
+
"use_cache": true,
|
186 |
+
"vocab_size": 100352
|
187 |
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}
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mergekit_config.yml
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|
1 |
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|
2 |
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slices:
|
3 |
+
- sources:
|
4 |
+
- model: microsoft/Phi-3-small-128k-instruct
|
5 |
+
layer_range: [0, 32]
|
6 |
+
- model: microsoft/Phi-3-small-8k-instruct
|
7 |
+
layer_range: [0, 32]
|
8 |
+
merge_method: slerp
|
9 |
+
base_model: microsoft/Phi-3-small-128k-instruct
|
10 |
+
parameters:
|
11 |
+
t:
|
12 |
+
- filter: self_attn
|
13 |
+
value: [0, 0.5, 0.3, 0.7, 1]
|
14 |
+
- filter: mlp
|
15 |
+
value: [1, 0.5, 0.7, 0.3, 0]
|
16 |
+
- value: 0.5
|
17 |
+
dtype: bfloat16
|
model-00001-of-00018.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1a23c9ab1479aa4ac2209ed8adad413250eeba52cf71e83c0d285b36a68ddb0
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+
size 822083712
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model-00002-of-00018.safetensors
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version https://git-lfs.github.com/spec/v1
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size 939623272
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model-00003-of-00018.safetensors
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version https://git-lfs.github.com/spec/v1
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size 872655528
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model-00004-of-00018.safetensors
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version https://git-lfs.github.com/spec/v1
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size 872655552
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model-00005-of-00018.safetensors
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{
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"_commit_hash": "ad85cab62be398dc90203c4377a4ccbf090fbb36",
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"_from_auto": true,
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"added_tokens_decoder": {},
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"auto_map": {
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"AutoTokenizer": [
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"tokenization_phi3_small.Phi3SmallTokenizer",
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"tokenization_phi3_small.Phi3SmallTokenizer"
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]
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},
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"bos_token": "<|endoftext|>",
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"chat_template": "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"revision": null,
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"tokenizer_class": "Phi3SmallTokenizer",
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"trust_remote_code": true
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}
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