Hugging Face's logo

LoneStriker
/
KafkaLM-8x7b-German-V0.1-DPO-3.0bpw-h6-exl2

Text Generation
Transformers
Safetensors
German
mixtral
deutsch
german
seedbox
mistral
Inference Endpoints
text-generation-inference
Model card Files Community
LoneStriker commited on
Commit
79be5ea
•
1 Parent(s): 51f4a7f

Upload folder using huggingface_hub

Browse files
Files changed (11) hide show
  1. README.md +100 -0
  2. config.json +30 -0
  3. generation_config.json +6 -0
  4. huggingface-metadata.txt +43 -0
  5. model.safetensors.index.json +1002 -0
  6. output-00001-of-00003.safetensors +3 -0
  7. output-00002-of-00003.safetensors +3 -0
  8. output-00003-of-00003.safetensors +3 -0
  9. special_tokens_map.json +30 -0
  10. tokenizer.json +0 -0
  11. tokenizer_config.json +43 -0
README.md ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - deutsch
5
+ - german
6
+ - seedbox
7
+ - mistral
8
+ - mixtral
9
+ license: apache-2.0
10
+ datasets:
11
+ - seedboxai/multitask_german_examples_32k
12
+ - seedboxai/ultra_feedback_german_modified_v1
13
+ language:
14
+ - de
15
+ pipeline_tag: text-generation
16
+ ---
17
+
18
+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/645ded34a45b4182d7f5c385/9QywLGTbRrHYSq-m6fQmJ.jpeg)
19
+
20
+
21
+ # KafkaLM-8x7b-German-V0.1
22
+
23
+ **KafkaLM 8x7b** is a MoE model based on [Mistral AI´s Mixtral 8x7b](https://mistral.ai/news/mixtral-of-experts/) which was finetuned on an ensemble of popular high-quality open-source instruction sets (translated from English to German).
24
+
25
+ KafkaLM 8x7b is a [Seedbox](https://huggingface.co/seedboxai) project trained by [Dennis Dickmann](https://huggingface.co/doubledsbv).
26
+
27
+ **Why Kafka?**
28
+ The models are proficient, yet creative, have some tendencies to linguistically push boundaries 😊
29
+
30
+
31
+ ## Model Details
32
+
33
+ The purpose of releasing the **KafkaLM series** is to contribute to the German AI community with a set of fine-tuned LLMs that are easy to use in everyday applications across a variety of tasks.
34
+
35
+ The main goal was to provide LLMs proficient in German, especially to be used in German-speaking business contexts where English alone is not sufficient.
36
+
37
+ ### DPO
38
+
39
+ The model has been aligned with a german and modified version of the ultra feedback dataset from huggingface.
40
+
41
+ ### Dataset
42
+
43
+ I used a 8k filtered version of the following [seedboxai/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxai/multitask_german_examples_32k)
44
+
45
+ ### Prompt Format
46
+
47
+
48
+ This model follows the subsequent prompt format:
49
+
50
+ ```
51
+ <|system|>
52
+ Du bist ein freundlicher und hilfsbereiter KI-Assistent. Du beantwortest Fragen faktenorientiert und präzise, ohne dabei relevante Fakten auszulassen.</s>
53
+ <|user|>
54
+ Welche Möglichkeiten der energetischen Sanierung habe ich neben Solar und Energiespeicher?</s>
55
+ <|assistant|>
56
+ ```
57
+
58
+ ### Inference
59
+
60
+ Getting started with the model is straightforward
61
+
62
+ ```python
63
+ import transformers
64
+
65
+ model_id = "seedboxai/KafkaLM-8x7B-German-V0.1-DPO"
66
+
67
+ model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=True, trust_remote_code=True)
68
+
69
+ tokenizer = AutoTokenizer.from_pretrained(model_id)
70
+
71
+ def generate_prompt(input):
72
+ prompt = ''
73
+ sys_prompt = "Du bist ein freundlicher und hilfsbereiter KI-Assistent. Du beantwortest Fragen faktenorientiert und präzise, ohne dabei relevante Fakten auszulassen."
74
+
75
+ prompt += f"<|system|>\n{sys_prompt.strip()}</s>\n"
76
+ prompt += f"<|user|>\n{input.strip()}</s>\n"
77
+ prompt += f"<|assistant|>\n"
78
+
79
+ return prompt.strip()
80
+
81
+
82
+ generate_text = transformers.pipeline(
83
+ model=model, tokenizer=tokenizer,
84
+ return_full_text=True,
85
+ task='text-generation',
86
+ temperature=0.5,
87
+ max_new_tokens=512,
88
+ top_p=0.95,
89
+ top_k=50,
90
+ do_sample=True,
91
+ )
92
+
93
+ print(generate_text(generate_prompt("Wer ist eigentlich dieser Kafka?"))
94
+
95
+ ```
96
+
97
+ ## Disclaimer
98
+
99
+ The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model.
100
+ This model should only be used for research purposes. The original Llama2 license and all restrictions of datasets used to train this model apply.
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/workspace/Mixtral-MoE-8x7B/mixtral_FT",
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": "float32",
27
+ "transformers_version": "4.38.0.dev0",
28
+ "use_cache": true,
29
+ "vocab_size": 32000
30
+ }
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": "4.38.0.dev0"
6
+ }
huggingface-metadata.txt ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ url: https://huggingface.co/seedboxai/KafkaLM-8x7b-German-V0.1-DPO
2
+ branch: main
3
+ download date: 2024-02-15 10:26:37
4
+ sha256sum:
5
+ 5c990c6ea3bdfcde5d6fa97a20f7bb8489e8c7338644e2b22f8cf25818ce9e11 model-00001-of-00039.safetensors
6
+ fe7646c12dd730078c98f2d44297b44458307dd12767b467b4f86a2984f1de47 model-00002-of-00039.safetensors
7
+ 13f19a49293abe99a576b0ce3929cc07ef41f27d0c9baaa3f52f68970b6720d4 model-00003-of-00039.safetensors
8
+ d518bfaaaed4ab6745318fd3547c4a30ad8f5dc9ed3880e23597976d34c68554 model-00004-of-00039.safetensors
9
+ 7cadcd62f958377f8c6ecd2a8d91789b39d947608ef5966dcbe1c4a1f47049d0 model-00005-of-00039.safetensors
10
+ 0db04d581cc8843ee905224a263c533aea2bc040df93ebd9e21f7485ea753132 model-00006-of-00039.safetensors
11
+ ff5119411700efc0b0d80b0e7b364eddbfb9847f91c3296e0b344acd981fcbd2 model-00007-of-00039.safetensors
12
+ f2d6314b97e43abad0e93d8fb3fdf2a1ff8dc7dd1e18d56abf07334ca1b56096 model-00008-of-00039.safetensors
13
+ b83d7e18dfbcca682465e23367fcb93655e2d5fe60ff00371b49844cdeb98b8b model-00009-of-00039.safetensors
14
+ 040485aa8f9d4d146e0b248ddcf16d2593ab47a156f026543ba659783bee51d8 model-00010-of-00039.safetensors
15
+ f9fda815c4e401d63794a75664e4454086808cada111685d56ccf9590e6fe54b model-00011-of-00039.safetensors
16
+ e7ac62fa7b4945beaa9aa2541df84b1b3df5cdce7d1af1accd308384ce7ddc9c model-00012-of-00039.safetensors
17
+ 41f87398271754733a0667682eb8ef4d211d1aab970ab86cff5bdca322f8a8df model-00013-of-00039.safetensors
18
+ b1c4e598453fdcc597b6291e8b4788b21cab23be4f1b806e0871ab4140680603 model-00014-of-00039.safetensors
19
+ eb037b28ce4cd25ae3f235c22a40735520ec542c14da4c335de353b6155e1835 model-00015-of-00039.safetensors
20
+ 0e2e178b8bedb7d402569aa1a1dbfa1fe3161944d2854b255eee94c73162015f model-00016-of-00039.safetensors
21
+ 76943d899f6924da8272f4cc50d02e8864de99158d355bc35f5ba0e8915a858e model-00017-of-00039.safetensors
22
+ 434c588897cde14211182cfd7d2eade857b0addd8c9c409655f72b1d005b910e model-00018-of-00039.safetensors
23
+ c5bdbc41a8f2386b2ecfb6ff9844e26deec4023ada34b3f2dd555506f5ef9d73 model-00019-of-00039.safetensors
24
+ d58562d1f02dd718c7ed1da1fd0ca6f73c9e356cb3bffcc5d93106b61a9359a3 model-00020-of-00039.safetensors
25
+ 26fab439fad7a239ae79a27dad2dbc7ca9ff1c35ffaad6c28922f7a1f91f81b2 model-00021-of-00039.safetensors
26
+ f809057c08a390638024321e4c22d68c25dc5de15033bf875ccb4e3f807d1dd9 model-00022-of-00039.safetensors
27
+ 24141d66049ad3723104e8f55a99b90afb2e1dfe74cf42919ae4ef4c8a117ee0 model-00023-of-00039.safetensors
28
+ 25d5c910e8270ede8c48a189549fc8818e26913f1a7421ba02b5b95e8e4e22ee model-00024-of-00039.safetensors
29
+ 64dec72f25781d1370290a1a67c908fe326e6e088b544e5c3598810d25fa4160 model-00025-of-00039.safetensors
30
+ f5c3a336a71bee7c2eb841c8a4a26b05ad034d691124108c7773b4b42809f0be model-00026-of-00039.safetensors
31
+ 4878787645006ae7b52fd7c53bbb26ff450d0ebdd179292d0bc532b6586492d2 model-00027-of-00039.safetensors
32
+ 0b7b39c7adc025284ad8e514487ecd4939bafc7386ae9deea94c528970b145d8 model-00028-of-00039.safetensors
33
+ 1e588bb3ca105a72e84a20e4230eb799e86539bd5e5e27009446af45ce139dff model-00029-of-00039.safetensors
34
+ 58294165ab3abb9ef2a73e7d93aaab5b638bdb419aae60249c50bd7deb088188 model-00030-of-00039.safetensors
35
+ c14e641970ea2f713977d63036547814ccd243f2681352ec941570d9df17312a model-00031-of-00039.safetensors
36
+ 2b2c94d4d9fd8996474fde5ff1b568fbbdafeb130c7a7027dd48acfbf2413274 model-00032-of-00039.safetensors
37
+ 03f06fe39f9c0fa4dd8dd18894a9c54ffc0267a5b29c677c8fc65ce7d4542010 model-00033-of-00039.safetensors
38
+ f241bf09bf2c482c01267eaca0d609ca76897ebb095f5811d17885bf376584b6 model-00034-of-00039.safetensors
39
+ 7dc056901ca382f1411315fdb058f5e81d94c84891eccd84f52f7305b55ce2af model-00035-of-00039.safetensors
40
+ 906664c2b302d64f59ac8b77f1574f96b4a8e050fd30a127d57ef3af119a68a1 model-00036-of-00039.safetensors
41
+ 57525a3d3d422788d35b394624fea656a5d8f7d1cc987d8377b7963bf006d34d model-00037-of-00039.safetensors
42
+ 1f6c9be67ffd7c39216759c94e4eb835ae455b9a1f15d3d2facd28a90774a0ce model-00038-of-00039.safetensors
43
+ cf35d1c660a0ff1e3715fafc0b3575c26e9ed2bc1a9ba618db23aaab1bd44cb2 model-00039-of-00039.safetensors
model.safetensors.index.json ADDED
@@ -0,0 +1,1002 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 186811170816
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00039-of-00039.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00039.safetensors",
8
+ "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00039.safetensors",
9
+ "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00039.safetensors",
10
+ "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00039.safetensors",
11
+ "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00039.safetensors",
12
+ "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00039.safetensors",
13
+ "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00039.safetensors",
14
+ "model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00039.safetensors",
15
+ "model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00039.safetensors",
16
+ "model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00039.safetensors",
17
+ "model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00039.safetensors",
18
+ "model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00039.safetensors",
19
+ "model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00039.safetensors",
20
+ "model.layers.0.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00039.safetensors",
21
+ "model.layers.0.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00039.safetensors",
22
+ "model.layers.0.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00039.safetensors",
23
+ "model.layers.0.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00039.safetensors",
24
+ "model.layers.0.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00039.safetensors",
25
+ "model.layers.0.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00039.safetensors",
26
+ "model.layers.0.block_sparse_moe.experts.6.w1.weight": "model-00002-of-00039.safetensors",
27
+ "model.layers.0.block_sparse_moe.experts.6.w2.weight": "model-00002-of-00039.safetensors",
28
+ "model.layers.0.block_sparse_moe.experts.6.w3.weight": "model-00002-of-00039.safetensors",
29
+ "model.layers.0.block_sparse_moe.experts.7.w1.weight": "model-00002-of-00039.safetensors",
30
+ "model.layers.0.block_sparse_moe.experts.7.w2.weight": "model-00002-of-00039.safetensors",
31
+ "model.layers.0.block_sparse_moe.experts.7.w3.weight": "model-00002-of-00039.safetensors",
32
+ "model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00039.safetensors",
33
+ "model.layers.0.input_layernorm.weight": "model-00002-of-00039.safetensors",
34
+ "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00039.safetensors",
35
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00039.safetensors",
36
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00039.safetensors",
37
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00039.safetensors",
38
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00039.safetensors",
39
+ "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00039.safetensors",
40
+ "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00039.safetensors",
41
+ "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00039.safetensors",
42
+ "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00039.safetensors",
43
+ "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00039.safetensors",
44
+ "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00039.safetensors",
45
+ "model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00002-of-00039.safetensors",
46
+ "model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00039.safetensors",
47
+ "model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00039.safetensors",
48
+ "model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00002-of-00039.safetensors",
49
+ "model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00039.safetensors",
50
+ "model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00039.safetensors",
51
+ "model.layers.1.block_sparse_moe.experts.4.w1.weight": "model-00002-of-00039.safetensors",
52
+ "model.layers.1.block_sparse_moe.experts.4.w2.weight": "model-00002-of-00039.safetensors",
53
+ "model.layers.1.block_sparse_moe.experts.4.w3.weight": "model-00003-of-00039.safetensors",
54
+ "model.layers.1.block_sparse_moe.experts.5.w1.weight": "model-00003-of-00039.safetensors",
55
+ "model.layers.1.block_sparse_moe.experts.5.w2.weight": "model-00003-of-00039.safetensors",
56
+ "model.layers.1.block_sparse_moe.experts.5.w3.weight": "model-00003-of-00039.safetensors",
57
+ "model.layers.1.block_sparse_moe.experts.6.w1.weight": "model-00003-of-00039.safetensors",
58
+ "model.layers.1.block_sparse_moe.experts.6.w2.weight": "model-00003-of-00039.safetensors",
59
+ "model.layers.1.block_sparse_moe.experts.6.w3.weight": "model-00003-of-00039.safetensors",
60
+ "model.layers.1.block_sparse_moe.experts.7.w1.weight": "model-00003-of-00039.safetensors",
61
+ "model.layers.1.block_sparse_moe.experts.7.w2.weight": "model-00003-of-00039.safetensors",
62
+ "model.layers.1.block_sparse_moe.experts.7.w3.weight": "model-00003-of-00039.safetensors",
63
+ "model.layers.1.block_sparse_moe.gate.weight": "model-00002-of-00039.safetensors",
64
+ "model.layers.1.input_layernorm.weight": "model-00003-of-00039.safetensors",
65
+ "model.layers.1.post_attention_layernorm.weight": "model-00003-of-00039.safetensors",
66
+ "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00039.safetensors",
67
+ "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00039.safetensors",
68
+ "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00039.safetensors",
69
+ "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00039.safetensors",
70
+ "model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00013-of-00039.safetensors",
71
+ "model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00013-of-00039.safetensors",
72
+ "model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00013-of-00039.safetensors",
73
+ "model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00013-of-00039.safetensors",
74
+ "model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00013-of-00039.safetensors",
75
+ "model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00013-of-00039.safetensors",
76
+ "model.layers.10.block_sparse_moe.experts.2.w1.weight": "model-00013-of-00039.safetensors",
77
+ "model.layers.10.block_sparse_moe.experts.2.w2.weight": "model-00013-of-00039.safetensors",
78
+ "model.layers.10.block_sparse_moe.experts.2.w3.weight": "model-00013-of-00039.safetensors",
79
+ "model.layers.10.block_sparse_moe.experts.3.w1.weight": "model-00013-of-00039.safetensors",
80
+ "model.layers.10.block_sparse_moe.experts.3.w2.weight": "model-00013-of-00039.safetensors",
81
+ "model.layers.10.block_sparse_moe.experts.3.w3.weight": "model-00013-of-00039.safetensors",
82
+ "model.layers.10.block_sparse_moe.experts.4.w1.weight": "model-00013-of-00039.safetensors",
83
+ "model.layers.10.block_sparse_moe.experts.4.w2.weight": "model-00013-of-00039.safetensors",
84
+ "model.layers.10.block_sparse_moe.experts.4.w3.weight": "model-00013-of-00039.safetensors",
85
+ "model.layers.10.block_sparse_moe.experts.5.w1.weight": "model-00013-of-00039.safetensors",
86
+ "model.layers.10.block_sparse_moe.experts.5.w2.weight": "model-00013-of-00039.safetensors",
87
+ "model.layers.10.block_sparse_moe.experts.5.w3.weight": "model-00013-of-00039.safetensors",
88
+ "model.layers.10.block_sparse_moe.experts.6.w1.weight": "model-00013-of-00039.safetensors",
89
+ "model.layers.10.block_sparse_moe.experts.6.w2.weight": "model-00013-of-00039.safetensors",
90
+ "model.layers.10.block_sparse_moe.experts.6.w3.weight": "model-00014-of-00039.safetensors",
91
+ "model.layers.10.block_sparse_moe.experts.7.w1.weight": "model-00014-of-00039.safetensors",
92
+ "model.layers.10.block_sparse_moe.experts.7.w2.weight": "model-00014-of-00039.safetensors",
93
+ "model.layers.10.block_sparse_moe.experts.7.w3.weight": "model-00014-of-00039.safetensors",
94
+ "model.layers.10.block_sparse_moe.gate.weight": "model-00013-of-00039.safetensors",
95
+ "model.layers.10.input_layernorm.weight": "model-00014-of-00039.safetensors",
96
+ "model.layers.10.post_attention_layernorm.weight": "model-00014-of-00039.safetensors",
97
+ "model.layers.10.self_attn.k_proj.weight": "model-00013-of-00039.safetensors",
98
+ "model.layers.10.self_attn.o_proj.weight": "model-00013-of-00039.safetensors",
99
+ "model.layers.10.self_attn.q_proj.weight": "model-00012-of-00039.safetensors",
100
+ "model.layers.10.self_attn.v_proj.weight": "model-00013-of-00039.safetensors",
101
+ "model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00014-of-00039.safetensors",
102
+ "model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00014-of-00039.safetensors",
103
+ "model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00014-of-00039.safetensors",
104
+ "model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00014-of-00039.safetensors",
105
+ "model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00014-of-00039.safetensors",
106
+ "model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00014-of-00039.safetensors",
107
+ "model.layers.11.block_sparse_moe.experts.2.w1.weight": "model-00014-of-00039.safetensors",
108
+ "model.layers.11.block_sparse_moe.experts.2.w2.weight": "model-00014-of-00039.safetensors",
109
+ "model.layers.11.block_sparse_moe.experts.2.w3.weight": "model-00014-of-00039.safetensors",
110
+ "model.layers.11.block_sparse_moe.experts.3.w1.weight": "model-00014-of-00039.safetensors",
111
+ "model.layers.11.block_sparse_moe.experts.3.w2.weight": "model-00014-of-00039.safetensors",
112
+ "model.layers.11.block_sparse_moe.experts.3.w3.weight": "model-00014-of-00039.safetensors",
113
+ "model.layers.11.block_sparse_moe.experts.4.w1.weight": "model-00014-of-00039.safetensors",
114
+ "model.layers.11.block_sparse_moe.experts.4.w2.weight": "model-00014-of-00039.safetensors",
115
+ "model.layers.11.block_sparse_moe.experts.4.w3.weight": "model-00014-of-00039.safetensors",
116
+ "model.layers.11.block_sparse_moe.experts.5.w1.weight": "model-00014-of-00039.safetensors",
117
+ "model.layers.11.block_sparse_moe.experts.5.w2.weight": "model-00015-of-00039.safetensors",
118
+ "model.layers.11.block_sparse_moe.experts.5.w3.weight": "model-00015-of-00039.safetensors",
119
+ "model.layers.11.block_sparse_moe.experts.6.w1.weight": "model-00015-of-00039.safetensors",
120
+ "model.layers.11.block_sparse_moe.experts.6.w2.weight": "model-00015-of-00039.safetensors",
121
+ "model.layers.11.block_sparse_moe.experts.6.w3.weight": "model-00015-of-00039.safetensors",
122
+ "model.layers.11.block_sparse_moe.experts.7.w1.weight": "model-00015-of-00039.safetensors",
123
+ "model.layers.11.block_sparse_moe.experts.7.w2.weight": "model-00015-of-00039.safetensors",
124
+ "model.layers.11.block_sparse_moe.experts.7.w3.weight": "model-00015-of-00039.safetensors",
125
+ "model.layers.11.block_sparse_moe.gate.weight": "model-00014-of-00039.safetensors",
126
+ "model.layers.11.input_layernorm.weight": "model-00015-of-00039.safetensors",
127
+ "model.layers.11.post_attention_layernorm.weight": "model-00015-of-00039.safetensors",
128
+ "model.layers.11.self_attn.k_proj.weight": "model-00014-of-00039.safetensors",
129
+ "model.layers.11.self_attn.o_proj.weight": "model-00014-of-00039.safetensors",
130
+ "model.layers.11.self_attn.q_proj.weight": "model-00014-of-00039.safetensors",
131
+ "model.layers.11.self_attn.v_proj.weight": "model-00014-of-00039.safetensors",
132
+ "model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00015-of-00039.safetensors",
133
+ "model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00015-of-00039.safetensors",
134
+ "model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00015-of-00039.safetensors",
135
+ "model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00015-of-00039.safetensors",
136
+ "model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00015-of-00039.safetensors",
137
+ "model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00015-of-00039.safetensors",
138
+ "model.layers.12.block_sparse_moe.experts.2.w1.weight": "model-00015-of-00039.safetensors",
139
+ "model.layers.12.block_sparse_moe.experts.2.w2.weight": "model-00015-of-00039.safetensors",
140
+ "model.layers.12.block_sparse_moe.experts.2.w3.weight": "model-00015-of-00039.safetensors",
141
+ "model.layers.12.block_sparse_moe.experts.3.w1.weight": "model-00015-of-00039.safetensors",
142
+ "model.layers.12.block_sparse_moe.experts.3.w2.weight": "model-00015-of-00039.safetensors",
143
+ "model.layers.12.block_sparse_moe.experts.3.w3.weight": "model-00015-of-00039.safetensors",
144
+ "model.layers.12.block_sparse_moe.experts.4.w1.weight": "model-00016-of-00039.safetensors",
145
+ "model.layers.12.block_sparse_moe.experts.4.w2.weight": "model-00016-of-00039.safetensors",
146
+ "model.layers.12.block_sparse_moe.experts.4.w3.weight": "model-00016-of-00039.safetensors",
147
+ "model.layers.12.block_sparse_moe.experts.5.w1.weight": "model-00016-of-00039.safetensors",
148
+ "model.layers.12.block_sparse_moe.experts.5.w2.weight": "model-00016-of-00039.safetensors",
149
+ "model.layers.12.block_sparse_moe.experts.5.w3.weight": "model-00016-of-00039.safetensors",
150
+ "model.layers.12.block_sparse_moe.experts.6.w1.weight": "model-00016-of-00039.safetensors",
151
+ "model.layers.12.block_sparse_moe.experts.6.w2.weight": "model-00016-of-00039.safetensors",
152
+ "model.layers.12.block_sparse_moe.experts.6.w3.weight": "model-00016-of-00039.safetensors",
153
+ "model.layers.12.block_sparse_moe.experts.7.w1.weight": "model-00016-of-00039.safetensors",
154
+ "model.layers.12.block_sparse_moe.experts.7.w2.weight": "model-00016-of-00039.safetensors",
155
+ "model.layers.12.block_sparse_moe.experts.7.w3.weight": "model-00016-of-00039.safetensors",
156
+ "model.layers.12.block_sparse_moe.gate.weight": "model-00015-of-00039.safetensors",
157
+ "model.layers.12.input_layernorm.weight": "model-00016-of-00039.safetensors",
158
+ "model.layers.12.post_attention_layernorm.weight": "model-00016-of-00039.safetensors",
159
+ "model.layers.12.self_attn.k_proj.weight": "model-00015-of-00039.safetensors",
160
+ "model.layers.12.self_attn.o_proj.weight": "model-00015-of-00039.safetensors",
161
+ "model.layers.12.self_attn.q_proj.weight": "model-00015-of-00039.safetensors",
162
+ "model.layers.12.self_attn.v_proj.weight": "model-00015-of-00039.safetensors",
163
+ "model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00016-of-00039.safetensors",
164
+ "model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00016-of-00039.safetensors",
165
+ "model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00016-of-00039.safetensors",
166
+ "model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00016-of-00039.safetensors",
167
+ "model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00016-of-00039.safetensors",
168
+ "model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00016-of-00039.safetensors",
169
+ "model.layers.13.block_sparse_moe.experts.2.w1.weight": "model-00016-of-00039.safetensors",
170
+ "model.layers.13.block_sparse_moe.experts.2.w2.weight": "model-00016-of-00039.safetensors",
171
+ "model.layers.13.block_sparse_moe.experts.2.w3.weight": "model-00017-of-00039.safetensors",
172
+ "model.layers.13.block_sparse_moe.experts.3.w1.weight": "model-00017-of-00039.safetensors",
173
+ "model.layers.13.block_sparse_moe.experts.3.w2.weight": "model-00017-of-00039.safetensors",
174
+ "model.layers.13.block_sparse_moe.experts.3.w3.weight": "model-00017-of-00039.safetensors",
175
+ "model.layers.13.block_sparse_moe.experts.4.w1.weight": "model-00017-of-00039.safetensors",
176
+ "model.layers.13.block_sparse_moe.experts.4.w2.weight": "model-00017-of-00039.safetensors",
177
+ "model.layers.13.block_sparse_moe.experts.4.w3.weight": "model-00017-of-00039.safetensors",
178
+ "model.layers.13.block_sparse_moe.experts.5.w1.weight": "model-00017-of-00039.safetensors",
179
+ "model.layers.13.block_sparse_moe.experts.5.w2.weight": "model-00017-of-00039.safetensors",
180
+ "model.layers.13.block_sparse_moe.experts.5.w3.weight": "model-00017-of-00039.safetensors",
181
+ "model.layers.13.block_sparse_moe.experts.6.w1.weight": "model-00017-of-00039.safetensors",
182
+ "model.layers.13.block_sparse_moe.experts.6.w2.weight": "model-00017-of-00039.safetensors",
183
+ "model.layers.13.block_sparse_moe.experts.6.w3.weight": "model-00017-of-00039.safetensors",
184
+ "model.layers.13.block_sparse_moe.experts.7.w1.weight": "model-00017-of-00039.safetensors",
185
+ "model.layers.13.block_sparse_moe.experts.7.w2.weight": "model-00017-of-00039.safetensors",
186
+ "model.layers.13.block_sparse_moe.experts.7.w3.weight": "model-00017-of-00039.safetensors",
187
+ "model.layers.13.block_sparse_moe.gate.weight": "model-00016-of-00039.safetensors",
188
+ "model.layers.13.input_layernorm.weight": "model-00017-of-00039.safetensors",
189
+ "model.layers.13.post_attention_layernorm.weight": "model-00017-of-00039.safetensors",
190
+ "model.layers.13.self_attn.k_proj.weight": "model-00016-of-00039.safetensors",
191
+ "model.layers.13.self_attn.o_proj.weight": "model-00016-of-00039.safetensors",
192
+ "model.layers.13.self_attn.q_proj.weight": "model-00016-of-00039.safetensors",
193
+ "model.layers.13.self_attn.v_proj.weight": "model-00016-of-00039.safetensors",
194
+ "model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00017-of-00039.safetensors",
195
+ "model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00017-of-00039.safetensors",
196
+ "model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00017-of-00039.safetensors",
197
+ "model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00017-of-00039.safetensors",
198
+ "model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00018-of-00039.safetensors",
199
+ "model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00018-of-00039.safetensors",
200
+ "model.layers.14.block_sparse_moe.experts.2.w1.weight": "model-00018-of-00039.safetensors",
201
+ "model.layers.14.block_sparse_moe.experts.2.w2.weight": "model-00018-of-00039.safetensors",
202
+ "model.layers.14.block_sparse_moe.experts.2.w3.weight": "model-00018-of-00039.safetensors",
203
+ "model.layers.14.block_sparse_moe.experts.3.w1.weight": "model-00018-of-00039.safetensors",
204
+ "model.layers.14.block_sparse_moe.experts.3.w2.weight": "model-00018-of-00039.safetensors",
205
+ "model.layers.14.block_sparse_moe.experts.3.w3.weight": "model-00018-of-00039.safetensors",
206
+ "model.layers.14.block_sparse_moe.experts.4.w1.weight": "model-00018-of-00039.safetensors",
207
+ "model.layers.14.block_sparse_moe.experts.4.w2.weight": "model-00018-of-00039.safetensors",
208
+ "model.layers.14.block_sparse_moe.experts.4.w3.weight": "model-00018-of-00039.safetensors",
209
+ "model.layers.14.block_sparse_moe.experts.5.w1.weight": "model-00018-of-00039.safetensors",
210
+ "model.layers.14.block_sparse_moe.experts.5.w2.weight": "model-00018-of-00039.safetensors",
211
+ "model.layers.14.block_sparse_moe.experts.5.w3.weight": "model-00018-of-00039.safetensors",
212
+ "model.layers.14.block_sparse_moe.experts.6.w1.weight": "model-00018-of-00039.safetensors",
213
+ "model.layers.14.block_sparse_moe.experts.6.w2.weight": "model-00018-of-00039.safetensors",
214
+ "model.layers.14.block_sparse_moe.experts.6.w3.weight": "model-00018-of-00039.safetensors",
215
+ "model.layers.14.block_sparse_moe.experts.7.w1.weight": "model-00018-of-00039.safetensors",
216
+ "model.layers.14.block_sparse_moe.experts.7.w2.weight": "model-00018-of-00039.safetensors",
217
+ "model.layers.14.block_sparse_moe.experts.7.w3.weight": "model-00018-of-00039.safetensors",
218
+ "model.layers.14.block_sparse_moe.gate.weight": "model-00017-of-00039.safetensors",
219
+ "model.layers.14.input_layernorm.weight": "model-00018-of-00039.safetensors",
220
+ "model.layers.14.post_attention_layernorm.weight": "model-00018-of-00039.safetensors",
221
+ "model.layers.14.self_attn.k_proj.weight": "model-00017-of-00039.safetensors",
222
+ "model.layers.14.self_attn.o_proj.weight": "model-00017-of-00039.safetensors",
223
+ "model.layers.14.self_attn.q_proj.weight": "model-00017-of-00039.safetensors",
224
+ "model.layers.14.self_attn.v_proj.weight": "model-00017-of-00039.safetensors",
225
+ "model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00019-of-00039.safetensors",
226
+ "model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00019-of-00039.safetensors",
227
+ "model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00019-of-00039.safetensors",
228
+ "model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00019-of-00039.safetensors",
229
+ "model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00019-of-00039.safetensors",
230
+ "model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00019-of-00039.safetensors",
231
+ "model.layers.15.block_sparse_moe.experts.2.w1.weight": "model-00019-of-00039.safetensors",
232
+ "model.layers.15.block_sparse_moe.experts.2.w2.weight": "model-00019-of-00039.safetensors",
233
+ "model.layers.15.block_sparse_moe.experts.2.w3.weight": "model-00019-of-00039.safetensors",
234
+ "model.layers.15.block_sparse_moe.experts.3.w1.weight": "model-00019-of-00039.safetensors",
235
+ "model.layers.15.block_sparse_moe.experts.3.w2.weight": "model-00019-of-00039.safetensors",
236
+ "model.layers.15.block_sparse_moe.experts.3.w3.weight": "model-00019-of-00039.safetensors",
237
+ "model.layers.15.block_sparse_moe.experts.4.w1.weight": "model-00019-of-00039.safetensors",
238
+ "model.layers.15.block_sparse_moe.experts.4.w2.weight": "model-00019-of-00039.safetensors",
239
+ "model.layers.15.block_sparse_moe.experts.4.w3.weight": "model-00019-of-00039.safetensors",
240
+ "model.layers.15.block_sparse_moe.experts.5.w1.weight": "model-00019-of-00039.safetensors",
241
+ "model.layers.15.block_sparse_moe.experts.5.w2.weight": "model-00019-of-00039.safetensors",
242
+ "model.layers.15.block_sparse_moe.experts.5.w3.weight": "model-00019-of-00039.safetensors",
243
+ "model.layers.15.block_sparse_moe.experts.6.w1.weight": "model-00019-of-00039.safetensors",
244
+ "model.layers.15.block_sparse_moe.experts.6.w2.weight": "model-00019-of-00039.safetensors",
245
+ "model.layers.15.block_sparse_moe.experts.6.w3.weight": "model-00019-of-00039.safetensors",
246
+ "model.layers.15.block_sparse_moe.experts.7.w1.weight": "model-00020-of-00039.safetensors",
247
+ "model.layers.15.block_sparse_moe.experts.7.w2.weight": "model-00020-of-00039.safetensors",
248
+ "model.layers.15.block_sparse_moe.experts.7.w3.weight": "model-00020-of-00039.safetensors",
249
+ "model.layers.15.block_sparse_moe.gate.weight": "model-00018-of-00039.safetensors",
250
+ "model.layers.15.input_layernorm.weight": "model-00020-of-00039.safetensors",
251
+ "model.layers.15.post_attention_layernorm.weight": "model-00020-of-00039.safetensors",
252
+ "model.layers.15.self_attn.k_proj.weight": "model-00018-of-00039.safetensors",
253
+ "model.layers.15.self_attn.o_proj.weight": "model-00018-of-00039.safetensors",
254
+ "model.layers.15.self_attn.q_proj.weight": "model-00018-of-00039.safetensors",
255
+ "model.layers.15.self_attn.v_proj.weight": "model-00018-of-00039.safetensors",
256
+ "model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00020-of-00039.safetensors",
257
+ "model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00020-of-00039.safetensors",
258
+ "model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00020-of-00039.safetensors",
259
+ "model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00020-of-00039.safetensors",
260
+ "model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00020-of-00039.safetensors",
261
+ "model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00020-of-00039.safetensors",
262
+ "model.layers.16.block_sparse_moe.experts.2.w1.weight": "model-00020-of-00039.safetensors",
263
+ "model.layers.16.block_sparse_moe.experts.2.w2.weight": "model-00020-of-00039.safetensors",
264
+ "model.layers.16.block_sparse_moe.experts.2.w3.weight": "model-00020-of-00039.safetensors",
265
+ "model.layers.16.block_sparse_moe.experts.3.w1.weight": "model-00020-of-00039.safetensors",
266
+ "model.layers.16.block_sparse_moe.experts.3.w2.weight": "model-00020-of-00039.safetensors",
267
+ "model.layers.16.block_sparse_moe.experts.3.w3.weight": "model-00020-of-00039.safetensors",
268
+ "model.layers.16.block_sparse_moe.experts.4.w1.weight": "model-00020-of-00039.safetensors",
269
+ "model.layers.16.block_sparse_moe.experts.4.w2.weight": "model-00020-of-00039.safetensors",
270
+ "model.layers.16.block_sparse_moe.experts.4.w3.weight": "model-00020-of-00039.safetensors",
271
+ "model.layers.16.block_sparse_moe.experts.5.w1.weight": "model-00020-of-00039.safetensors",
272
+ "model.layers.16.block_sparse_moe.experts.5.w2.weight": "model-00020-of-00039.safetensors",
273
+ "model.layers.16.block_sparse_moe.experts.5.w3.weight": "model-00021-of-00039.safetensors",
274
+ "model.layers.16.block_sparse_moe.experts.6.w1.weight": "model-00021-of-00039.safetensors",
275
+ "model.layers.16.block_sparse_moe.experts.6.w2.weight": "model-00021-of-00039.safetensors",
276
+ "model.layers.16.block_sparse_moe.experts.6.w3.weight": "model-00021-of-00039.safetensors",
277
+ "model.layers.16.block_sparse_moe.experts.7.w1.weight": "model-00021-of-00039.safetensors",
278
+ "model.layers.16.block_sparse_moe.experts.7.w2.weight": "model-00021-of-00039.safetensors",
279
+ "model.layers.16.block_sparse_moe.experts.7.w3.weight": "model-00021-of-00039.safetensors",
280
+ "model.layers.16.block_sparse_moe.gate.weight": "model-00020-of-00039.safetensors",
281
+ "model.layers.16.input_layernorm.weight": "model-00021-of-00039.safetensors",
282
+ "model.layers.16.post_attention_layernorm.weight": "model-00021-of-00039.safetensors",
283
+ "model.layers.16.self_attn.k_proj.weight": "model-00020-of-00039.safetensors",
284
+ "model.layers.16.self_attn.o_proj.weight": "model-00020-of-00039.safetensors",
285
+ "model.layers.16.self_attn.q_proj.weight": "model-00020-of-00039.safetensors",
286
+ "model.layers.16.self_attn.v_proj.weight": "model-00020-of-00039.safetensors",
287
+ "model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00021-of-00039.safetensors",
288
+ "model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00021-of-00039.safetensors",
289
+ "model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00021-of-00039.safetensors",
290
+ "model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00021-of-00039.safetensors",
291
+ "model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00021-of-00039.safetensors",
292
+ "model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00021-of-00039.safetensors",
293
+ "model.layers.17.block_sparse_moe.experts.2.w1.weight": "model-00021-of-00039.safetensors",
294
+ "model.layers.17.block_sparse_moe.experts.2.w2.weight": "model-00021-of-00039.safetensors",
295
+ "model.layers.17.block_sparse_moe.experts.2.w3.weight": "model-00021-of-00039.safetensors",
296
+ "model.layers.17.block_sparse_moe.experts.3.w1.weight": "model-00021-of-00039.safetensors",
297
+ "model.layers.17.block_sparse_moe.experts.3.w2.weight": "model-00021-of-00039.safetensors",
298
+ "model.layers.17.block_sparse_moe.experts.3.w3.weight": "model-00021-of-00039.safetensors",
299
+ "model.layers.17.block_sparse_moe.experts.4.w1.weight": "model-00021-of-00039.safetensors",
300
+ "model.layers.17.block_sparse_moe.experts.4.w2.weight": "model-00022-of-00039.safetensors",
301
+ "model.layers.17.block_sparse_moe.experts.4.w3.weight": "model-00022-of-00039.safetensors",
302
+ "model.layers.17.block_sparse_moe.experts.5.w1.weight": "model-00022-of-00039.safetensors",
303
+ "model.layers.17.block_sparse_moe.experts.5.w2.weight": "model-00022-of-00039.safetensors",
304
+ "model.layers.17.block_sparse_moe.experts.5.w3.weight": "model-00022-of-00039.safetensors",
305
+ "model.layers.17.block_sparse_moe.experts.6.w1.weight": "model-00022-of-00039.safetensors",
306
+ "model.layers.17.block_sparse_moe.experts.6.w2.weight": "model-00022-of-00039.safetensors",
307
+ "model.layers.17.block_sparse_moe.experts.6.w3.weight": "model-00022-of-00039.safetensors",
308
+ "model.layers.17.block_sparse_moe.experts.7.w1.weight": "model-00022-of-00039.safetensors",
309
+ "model.layers.17.block_sparse_moe.experts.7.w2.weight": "model-00022-of-00039.safetensors",
310
+ "model.layers.17.block_sparse_moe.experts.7.w3.weight": "model-00022-of-00039.safetensors",
311
+ "model.layers.17.block_sparse_moe.gate.weight": "model-00021-of-00039.safetensors",
312
+ "model.layers.17.input_layernorm.weight": "model-00022-of-00039.safetensors",
313
+ "model.layers.17.post_attention_layernorm.weight": "model-00022-of-00039.safetensors",
314
+ "model.layers.17.self_attn.k_proj.weight": "model-00021-of-00039.safetensors",
315
+ "model.layers.17.self_attn.o_proj.weight": "model-00021-of-00039.safetensors",
316
+ "model.layers.17.self_attn.q_proj.weight": "model-00021-of-00039.safetensors",
317
+ "model.layers.17.self_attn.v_proj.weight": "model-00021-of-00039.safetensors",
318
+ "model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00022-of-00039.safetensors",
319
+ "model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00022-of-00039.safetensors",
320
+ "model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00022-of-00039.safetensors",
321
+ "model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00022-of-00039.safetensors",
322
+ "model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00022-of-00039.safetensors",
323
+ "model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00022-of-00039.safetensors",
324
+ "model.layers.18.block_sparse_moe.experts.2.w1.weight": "model-00022-of-00039.safetensors",
325
+ "model.layers.18.block_sparse_moe.experts.2.w2.weight": "model-00022-of-00039.safetensors",
326
+ "model.layers.18.block_sparse_moe.experts.2.w3.weight": "model-00022-of-00039.safetensors",
327
+ "model.layers.18.block_sparse_moe.experts.3.w1.weight": "model-00023-of-00039.safetensors",
328
+ "model.layers.18.block_sparse_moe.experts.3.w2.weight": "model-00023-of-00039.safetensors",
329
+ "model.layers.18.block_sparse_moe.experts.3.w3.weight": "model-00023-of-00039.safetensors",
330
+ "model.layers.18.block_sparse_moe.experts.4.w1.weight": "model-00023-of-00039.safetensors",
331
+ "model.layers.18.block_sparse_moe.experts.4.w2.weight": "model-00023-of-00039.safetensors",
332
+ "model.layers.18.block_sparse_moe.experts.4.w3.weight": "model-00023-of-00039.safetensors",
333
+ "model.layers.18.block_sparse_moe.experts.5.w1.weight": "model-00023-of-00039.safetensors",
334
+ "model.layers.18.block_sparse_moe.experts.5.w2.weight": "model-00023-of-00039.safetensors",
335
+ "model.layers.18.block_sparse_moe.experts.5.w3.weight": "model-00023-of-00039.safetensors",
336
+ "model.layers.18.block_sparse_moe.experts.6.w1.weight": "model-00023-of-00039.safetensors",
337
+ "model.layers.18.block_sparse_moe.experts.6.w2.weight": "model-00023-of-00039.safetensors",
338
+ "model.layers.18.block_sparse_moe.experts.6.w3.weight": "model-00023-of-00039.safetensors",
339
+ "model.layers.18.block_sparse_moe.experts.7.w1.weight": "model-00023-of-00039.safetensors",
340
+ "model.layers.18.block_sparse_moe.experts.7.w2.weight": "model-00023-of-00039.safetensors",
341
+ "model.layers.18.block_sparse_moe.experts.7.w3.weight": "model-00023-of-00039.safetensors",
342
+ "model.layers.18.block_sparse_moe.gate.weight": "model-00022-of-00039.safetensors",
343
+ "model.layers.18.input_layernorm.weight": "model-00023-of-00039.safetensors",
344
+ "model.layers.18.post_attention_layernorm.weight": "model-00023-of-00039.safetensors",
345
+ "model.layers.18.self_attn.k_proj.weight": "model-00022-of-00039.safetensors",
346
+ "model.layers.18.self_attn.o_proj.weight": "model-00022-of-00039.safetensors",
347
+ "model.layers.18.self_attn.q_proj.weight": "model-00022-of-00039.safetensors",
348
+ "model.layers.18.self_attn.v_proj.weight": "model-00022-of-00039.safetensors",
349
+ "model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00023-of-00039.safetensors",
350
+ "model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00023-of-00039.safetensors",
351
+ "model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00023-of-00039.safetensors",
352
+ "model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00023-of-00039.safetensors",
353
+ "model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00023-of-00039.safetensors",
354
+ "model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00024-of-00039.safetensors",
355
+ "model.layers.19.block_sparse_moe.experts.2.w1.weight": "model-00024-of-00039.safetensors",
356
+ "model.layers.19.block_sparse_moe.experts.2.w2.weight": "model-00024-of-00039.safetensors",
357
+ "model.layers.19.block_sparse_moe.experts.2.w3.weight": "model-00024-of-00039.safetensors",
358
+ "model.layers.19.block_sparse_moe.experts.3.w1.weight": "model-00024-of-00039.safetensors",
359
+ "model.layers.19.block_sparse_moe.experts.3.w2.weight": "model-00024-of-00039.safetensors",
360
+ "model.layers.19.block_sparse_moe.experts.3.w3.weight": "model-00024-of-00039.safetensors",
361
+ "model.layers.19.block_sparse_moe.experts.4.w1.weight": "model-00024-of-00039.safetensors",
362
+ "model.layers.19.block_sparse_moe.experts.4.w2.weight": "model-00024-of-00039.safetensors",
363
+ "model.layers.19.block_sparse_moe.experts.4.w3.weight": "model-00024-of-00039.safetensors",
364
+ "model.layers.19.block_sparse_moe.experts.5.w1.weight": "model-00024-of-00039.safetensors",
365
+ "model.layers.19.block_sparse_moe.experts.5.w2.weight": "model-00024-of-00039.safetensors",
366
+ "model.layers.19.block_sparse_moe.experts.5.w3.weight": "model-00024-of-00039.safetensors",
367
+ "model.layers.19.block_sparse_moe.experts.6.w1.weight": "model-00024-of-00039.safetensors",
368
+ "model.layers.19.block_sparse_moe.experts.6.w2.weight": "model-00024-of-00039.safetensors",
369
+ "model.layers.19.block_sparse_moe.experts.6.w3.weight": "model-00024-of-00039.safetensors",
370
+ "model.layers.19.block_sparse_moe.experts.7.w1.weight": "model-00024-of-00039.safetensors",
371
+ "model.layers.19.block_sparse_moe.experts.7.w2.weight": "model-00024-of-00039.safetensors",
372
+ "model.layers.19.block_sparse_moe.experts.7.w3.weight": "model-00024-of-00039.safetensors",
373
+ "model.layers.19.block_sparse_moe.gate.weight": "model-00023-of-00039.safetensors",
374
+ "model.layers.19.input_layernorm.weight": "model-00024-of-00039.safetensors",
375
+ "model.layers.19.post_attention_layernorm.weight": "model-00024-of-00039.safetensors",
376
+ "model.layers.19.self_attn.k_proj.weight": "model-00023-of-00039.safetensors",
377
+ "model.layers.19.self_attn.o_proj.weight": "model-00023-of-00039.safetensors",
378
+ "model.layers.19.self_attn.q_proj.weight": "model-00023-of-00039.safetensors",
379
+ "model.layers.19.self_attn.v_proj.weight": "model-00023-of-00039.safetensors",
380
+ "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00039.safetensors",
381
+ "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00039.safetensors",
382
+ "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00039.safetensors",
383
+ "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00039.safetensors",
384
+ "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00039.safetensors",
385
+ "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00039.safetensors",
386
+ "model.layers.2.block_sparse_moe.experts.2.w1.weight": "model-00003-of-00039.safetensors",
387
+ "model.layers.2.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00039.safetensors",
388
+ "model.layers.2.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00039.safetensors",
389
+ "model.layers.2.block_sparse_moe.experts.3.w1.weight": "model-00003-of-00039.safetensors",
390
+ "model.layers.2.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00039.safetensors",
391
+ "model.layers.2.block_sparse_moe.experts.3.w3.weight": "model-00004-of-00039.safetensors",
392
+ "model.layers.2.block_sparse_moe.experts.4.w1.weight": "model-00004-of-00039.safetensors",
393
+ "model.layers.2.block_sparse_moe.experts.4.w2.weight": "model-00004-of-00039.safetensors",
394
+ "model.layers.2.block_sparse_moe.experts.4.w3.weight": "model-00004-of-00039.safetensors",
395
+ "model.layers.2.block_sparse_moe.experts.5.w1.weight": "model-00004-of-00039.safetensors",
396
+ "model.layers.2.block_sparse_moe.experts.5.w2.weight": "model-00004-of-00039.safetensors",
397
+ "model.layers.2.block_sparse_moe.experts.5.w3.weight": "model-00004-of-00039.safetensors",
398
+ "model.layers.2.block_sparse_moe.experts.6.w1.weight": "model-00004-of-00039.safetensors",
399
+ "model.layers.2.block_sparse_moe.experts.6.w2.weight": "model-00004-of-00039.safetensors",
400
+ "model.layers.2.block_sparse_moe.experts.6.w3.weight": "model-00004-of-00039.safetensors",
401
+ "model.layers.2.block_sparse_moe.experts.7.w1.weight": "model-00004-of-00039.safetensors",
402
+ "model.layers.2.block_sparse_moe.experts.7.w2.weight": "model-00004-of-00039.safetensors",
403
+ "model.layers.2.block_sparse_moe.experts.7.w3.weight": "model-00004-of-00039.safetensors",
404
+ "model.layers.2.block_sparse_moe.gate.weight": "model-00003-of-00039.safetensors",
405
+ "model.layers.2.input_layernorm.weight": "model-00004-of-00039.safetensors",
406
+ "model.layers.2.post_attention_layernorm.weight": "model-00004-of-00039.safetensors",
407
+ "model.layers.2.self_attn.k_proj.weight": "model-00003-of-00039.safetensors",
408
+ "model.layers.2.self_attn.o_proj.weight": "model-00003-of-00039.safetensors",
409
+ "model.layers.2.self_attn.q_proj.weight": "model-00003-of-00039.safetensors",
410
+ "model.layers.2.self_attn.v_proj.weight": "model-00003-of-00039.safetensors",
411
+ "model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00024-of-00039.safetensors",
412
+ "model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00025-of-00039.safetensors",
413
+ "model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00025-of-00039.safetensors",
414
+ "model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00025-of-00039.safetensors",
415
+ "model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00025-of-00039.safetensors",
416
+ "model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00025-of-00039.safetensors",
417
+ "model.layers.20.block_sparse_moe.experts.2.w1.weight": "model-00025-of-00039.safetensors",
418
+ "model.layers.20.block_sparse_moe.experts.2.w2.weight": "model-00025-of-00039.safetensors",
419
+ "model.layers.20.block_sparse_moe.experts.2.w3.weight": "model-00025-of-00039.safetensors",
420
+ "model.layers.20.block_sparse_moe.experts.3.w1.weight": "model-00025-of-00039.safetensors",
421
+ "model.layers.20.block_sparse_moe.experts.3.w2.weight": "model-00025-of-00039.safetensors",
422
+ "model.layers.20.block_sparse_moe.experts.3.w3.weight": "model-00025-of-00039.safetensors",
423
+ "model.layers.20.block_sparse_moe.experts.4.w1.weight": "model-00025-of-00039.safetensors",
424
+ "model.layers.20.block_sparse_moe.experts.4.w2.weight": "model-00025-of-00039.safetensors",
425
+ "model.layers.20.block_sparse_moe.experts.4.w3.weight": "model-00025-of-00039.safetensors",
426
+ "model.layers.20.block_sparse_moe.experts.5.w1.weight": "model-00025-of-00039.safetensors",
427
+ "model.layers.20.block_sparse_moe.experts.5.w2.weight": "model-00025-of-00039.safetensors",
428
+ "model.layers.20.block_sparse_moe.experts.5.w3.weight": "model-00025-of-00039.safetensors",
429
+ "model.layers.20.block_sparse_moe.experts.6.w1.weight": "model-00025-of-00039.safetensors",
430
+ "model.layers.20.block_sparse_moe.experts.6.w2.weight": "model-00025-of-00039.safetensors",
431
+ "model.layers.20.block_sparse_moe.experts.6.w3.weight": "model-00025-of-00039.safetensors",
432
+ "model.layers.20.block_sparse_moe.experts.7.w1.weight": "model-00025-of-00039.safetensors",
433
+ "model.layers.20.block_sparse_moe.experts.7.w2.weight": "model-00026-of-00039.safetensors",
434
+ "model.layers.20.block_sparse_moe.experts.7.w3.weight": "model-00026-of-00039.safetensors",
435
+ "model.layers.20.block_sparse_moe.gate.weight": "model-00024-of-00039.safetensors",
436
+ "model.layers.20.input_layernorm.weight": "model-00026-of-00039.safetensors",
437
+ "model.layers.20.post_attention_layernorm.weight": "model-00026-of-00039.safetensors",
438
+ "model.layers.20.self_attn.k_proj.weight": "model-00024-of-00039.safetensors",
439
+ "model.layers.20.self_attn.o_proj.weight": "model-00024-of-00039.safetensors",
440
+ "model.layers.20.self_attn.q_proj.weight": "model-00024-of-00039.safetensors",
441
+ "model.layers.20.self_attn.v_proj.weight": "model-00024-of-00039.safetensors",
442
+ "model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00026-of-00039.safetensors",
443
+ "model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00026-of-00039.safetensors",
444
+ "model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00026-of-00039.safetensors",
445
+ "model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00026-of-00039.safetensors",
446
+ "model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00026-of-00039.safetensors",
447
+ "model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00026-of-00039.safetensors",
448
+ "model.layers.21.block_sparse_moe.experts.2.w1.weight": "model-00026-of-00039.safetensors",
449
+ "model.layers.21.block_sparse_moe.experts.2.w2.weight": "model-00026-of-00039.safetensors",
450
+ "model.layers.21.block_sparse_moe.experts.2.w3.weight": "model-00026-of-00039.safetensors",
451
+ "model.layers.21.block_sparse_moe.experts.3.w1.weight": "model-00026-of-00039.safetensors",
452
+ "model.layers.21.block_sparse_moe.experts.3.w2.weight": "model-00026-of-00039.safetensors",
453
+ "model.layers.21.block_sparse_moe.experts.3.w3.weight": "model-00026-of-00039.safetensors",
454
+ "model.layers.21.block_sparse_moe.experts.4.w1.weight": "model-00026-of-00039.safetensors",
455
+ "model.layers.21.block_sparse_moe.experts.4.w2.weight": "model-00026-of-00039.safetensors",
456
+ "model.layers.21.block_sparse_moe.experts.4.w3.weight": "model-00026-of-00039.safetensors",
457
+ "model.layers.21.block_sparse_moe.experts.5.w1.weight": "model-00026-of-00039.safetensors",
458
+ "model.layers.21.block_sparse_moe.experts.5.w2.weight": "model-00026-of-00039.safetensors",
459
+ "model.layers.21.block_sparse_moe.experts.5.w3.weight": "model-00026-of-00039.safetensors",
460
+ "model.layers.21.block_sparse_moe.experts.6.w1.weight": "model-00027-of-00039.safetensors",
461
+ "model.layers.21.block_sparse_moe.experts.6.w2.weight": "model-00027-of-00039.safetensors",
462
+ "model.layers.21.block_sparse_moe.experts.6.w3.weight": "model-00027-of-00039.safetensors",
463
+ "model.layers.21.block_sparse_moe.experts.7.w1.weight": "model-00027-of-00039.safetensors",
464
+ "model.layers.21.block_sparse_moe.experts.7.w2.weight": "model-00027-of-00039.safetensors",
465
+ "model.layers.21.block_sparse_moe.experts.7.w3.weight": "model-00027-of-00039.safetensors",
466
+ "model.layers.21.block_sparse_moe.gate.weight": "model-00026-of-00039.safetensors",
467
+ "model.layers.21.input_layernorm.weight": "model-00027-of-00039.safetensors",
468
+ "model.layers.21.post_attention_layernorm.weight": "model-00027-of-00039.safetensors",
469
+ "model.layers.21.self_attn.k_proj.weight": "model-00026-of-00039.safetensors",
470
+ "model.layers.21.self_attn.o_proj.weight": "model-00026-of-00039.safetensors",
471
+ "model.layers.21.self_attn.q_proj.weight": "model-00026-of-00039.safetensors",
472
+ "model.layers.21.self_attn.v_proj.weight": "model-00026-of-00039.safetensors",
473
+ "model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00027-of-00039.safetensors",
474
+ "model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00027-of-00039.safetensors",
475
+ "model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00027-of-00039.safetensors",
476
+ "model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00027-of-00039.safetensors",
477
+ "model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00027-of-00039.safetensors",
478
+ "model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00027-of-00039.safetensors",
479
+ "model.layers.22.block_sparse_moe.experts.2.w1.weight": "model-00027-of-00039.safetensors",
480
+ "model.layers.22.block_sparse_moe.experts.2.w2.weight": "model-00027-of-00039.safetensors",
481
+ "model.layers.22.block_sparse_moe.experts.2.w3.weight": "model-00027-of-00039.safetensors",
482
+ "model.layers.22.block_sparse_moe.experts.3.w1.weight": "model-00027-of-00039.safetensors",
483
+ "model.layers.22.block_sparse_moe.experts.3.w2.weight": "model-00027-of-00039.safetensors",
484
+ "model.layers.22.block_sparse_moe.experts.3.w3.weight": "model-00027-of-00039.safetensors",
485
+ "model.layers.22.block_sparse_moe.experts.4.w1.weight": "model-00027-of-00039.safetensors",
486
+ "model.layers.22.block_sparse_moe.experts.4.w2.weight": "model-00027-of-00039.safetensors",
487
+ "model.layers.22.block_sparse_moe.experts.4.w3.weight": "model-00028-of-00039.safetensors",
488
+ "model.layers.22.block_sparse_moe.experts.5.w1.weight": "model-00028-of-00039.safetensors",
489
+ "model.layers.22.block_sparse_moe.experts.5.w2.weight": "model-00028-of-00039.safetensors",
490
+ "model.layers.22.block_sparse_moe.experts.5.w3.weight": "model-00028-of-00039.safetensors",
491
+ "model.layers.22.block_sparse_moe.experts.6.w1.weight": "model-00028-of-00039.safetensors",
492
+ "model.layers.22.block_sparse_moe.experts.6.w2.weight": "model-00028-of-00039.safetensors",
493
+ "model.layers.22.block_sparse_moe.experts.6.w3.weight": "model-00028-of-00039.safetensors",
494
+ "model.layers.22.block_sparse_moe.experts.7.w1.weight": "model-00028-of-00039.safetensors",
495
+ "model.layers.22.block_sparse_moe.experts.7.w2.weight": "model-00028-of-00039.safetensors",
496
+ "model.layers.22.block_sparse_moe.experts.7.w3.weight": "model-00028-of-00039.safetensors",
497
+ "model.layers.22.block_sparse_moe.gate.weight": "model-00027-of-00039.safetensors",
498
+ "model.layers.22.input_layernorm.weight": "model-00028-of-00039.safetensors",
499
+ "model.layers.22.post_attention_layernorm.weight": "model-00028-of-00039.safetensors",
500
+ "model.layers.22.self_attn.k_proj.weight": "model-00027-of-00039.safetensors",
501
+ "model.layers.22.self_attn.o_proj.weight": "model-00027-of-00039.safetensors",
502
+ "model.layers.22.self_attn.q_proj.weight": "model-00027-of-00039.safetensors",
503
+ "model.layers.22.self_attn.v_proj.weight": "model-00027-of-00039.safetensors",
504
+ "model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00028-of-00039.safetensors",
505
+ "model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00028-of-00039.safetensors",
506
+ "model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00028-of-00039.safetensors",
507
+ "model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00028-of-00039.safetensors",
508
+ "model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00028-of-00039.safetensors",
509
+ "model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00028-of-00039.safetensors",
510
+ "model.layers.23.block_sparse_moe.experts.2.w1.weight": "model-00028-of-00039.safetensors",
511
+ "model.layers.23.block_sparse_moe.experts.2.w2.weight": "model-00028-of-00039.safetensors",
512
+ "model.layers.23.block_sparse_moe.experts.2.w3.weight": "model-00028-of-00039.safetensors",
513
+ "model.layers.23.block_sparse_moe.experts.3.w1.weight": "model-00028-of-00039.safetensors",
514
+ "model.layers.23.block_sparse_moe.experts.3.w2.weight": "model-00029-of-00039.safetensors",
515
+ "model.layers.23.block_sparse_moe.experts.3.w3.weight": "model-00029-of-00039.safetensors",
516
+ "model.layers.23.block_sparse_moe.experts.4.w1.weight": "model-00029-of-00039.safetensors",
517
+ "model.layers.23.block_sparse_moe.experts.4.w2.weight": "model-00029-of-00039.safetensors",
518
+ "model.layers.23.block_sparse_moe.experts.4.w3.weight": "model-00029-of-00039.safetensors",
519
+ "model.layers.23.block_sparse_moe.experts.5.w1.weight": "model-00029-of-00039.safetensors",
520
+ "model.layers.23.block_sparse_moe.experts.5.w2.weight": "model-00029-of-00039.safetensors",
521
+ "model.layers.23.block_sparse_moe.experts.5.w3.weight": "model-00029-of-00039.safetensors",
522
+ "model.layers.23.block_sparse_moe.experts.6.w1.weight": "model-00029-of-00039.safetensors",
523
+ "model.layers.23.block_sparse_moe.experts.6.w2.weight": "model-00029-of-00039.safetensors",
524
+ "model.layers.23.block_sparse_moe.experts.6.w3.weight": "model-00029-of-00039.safetensors",
525
+ "model.layers.23.block_sparse_moe.experts.7.w1.weight": "model-00029-of-00039.safetensors",
526
+ "model.layers.23.block_sparse_moe.experts.7.w2.weight": "model-00029-of-00039.safetensors",
527
+ "model.layers.23.block_sparse_moe.experts.7.w3.weight": "model-00029-of-00039.safetensors",
528
+ "model.layers.23.block_sparse_moe.gate.weight": "model-00028-of-00039.safetensors",
529
+ "model.layers.23.input_layernorm.weight": "model-00029-of-00039.safetensors",
530
+ "model.layers.23.post_attention_layernorm.weight": "model-00029-of-00039.safetensors",
531
+ "model.layers.23.self_attn.k_proj.weight": "model-00028-of-00039.safetensors",
532
+ "model.layers.23.self_attn.o_proj.weight": "model-00028-of-00039.safetensors",
533
+ "model.layers.23.self_attn.q_proj.weight": "model-00028-of-00039.safetensors",
534
+ "model.layers.23.self_attn.v_proj.weight": "model-00028-of-00039.safetensors",
535
+ "model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00029-of-00039.safetensors",
536
+ "model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00029-of-00039.safetensors",
537
+ "model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00029-of-00039.safetensors",
538
+ "model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00029-of-00039.safetensors",
539
+ "model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00029-of-00039.safetensors",
540
+ "model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00029-of-00039.safetensors",
541
+ "model.layers.24.block_sparse_moe.experts.2.w1.weight": "model-00030-of-00039.safetensors",
542
+ "model.layers.24.block_sparse_moe.experts.2.w2.weight": "model-00030-of-00039.safetensors",
543
+ "model.layers.24.block_sparse_moe.experts.2.w3.weight": "model-00030-of-00039.safetensors",
544
+ "model.layers.24.block_sparse_moe.experts.3.w1.weight": "model-00030-of-00039.safetensors",
545
+ "model.layers.24.block_sparse_moe.experts.3.w2.weight": "model-00030-of-00039.safetensors",
546
+ "model.layers.24.block_sparse_moe.experts.3.w3.weight": "model-00030-of-00039.safetensors",
547
+ "model.layers.24.block_sparse_moe.experts.4.w1.weight": "model-00030-of-00039.safetensors",
548
+ "model.layers.24.block_sparse_moe.experts.4.w2.weight": "model-00030-of-00039.safetensors",
549
+ "model.layers.24.block_sparse_moe.experts.4.w3.weight": "model-00030-of-00039.safetensors",
550
+ "model.layers.24.block_sparse_moe.experts.5.w1.weight": "model-00030-of-00039.safetensors",
551
+ "model.layers.24.block_sparse_moe.experts.5.w2.weight": "model-00030-of-00039.safetensors",
552
+ "model.layers.24.block_sparse_moe.experts.5.w3.weight": "model-00030-of-00039.safetensors",
553
+ "model.layers.24.block_sparse_moe.experts.6.w1.weight": "model-00030-of-00039.safetensors",
554
+ "model.layers.24.block_sparse_moe.experts.6.w2.weight": "model-00030-of-00039.safetensors",
555
+ "model.layers.24.block_sparse_moe.experts.6.w3.weight": "model-00030-of-00039.safetensors",
556
+ "model.layers.24.block_sparse_moe.experts.7.w1.weight": "model-00030-of-00039.safetensors",
557
+ "model.layers.24.block_sparse_moe.experts.7.w2.weight": "model-00030-of-00039.safetensors",
558
+ "model.layers.24.block_sparse_moe.experts.7.w3.weight": "model-00030-of-00039.safetensors",
559
+ "model.layers.24.block_sparse_moe.gate.weight": "model-00029-of-00039.safetensors",
560
+ "model.layers.24.input_layernorm.weight": "model-00030-of-00039.safetensors",
561
+ "model.layers.24.post_attention_layernorm.weight": "model-00030-of-00039.safetensors",
562
+ "model.layers.24.self_attn.k_proj.weight": "model-00029-of-00039.safetensors",
563
+ "model.layers.24.self_attn.o_proj.weight": "model-00029-of-00039.safetensors",
564
+ "model.layers.24.self_attn.q_proj.weight": "model-00029-of-00039.safetensors",
565
+ "model.layers.24.self_attn.v_proj.weight": "model-00029-of-00039.safetensors",
566
+ "model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00030-of-00039.safetensors",
567
+ "model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00030-of-00039.safetensors",
568
+ "model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00031-of-00039.safetensors",
569
+ "model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00031-of-00039.safetensors",
570
+ "model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00031-of-00039.safetensors",
571
+ "model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00031-of-00039.safetensors",
572
+ "model.layers.25.block_sparse_moe.experts.2.w1.weight": "model-00031-of-00039.safetensors",
573
+ "model.layers.25.block_sparse_moe.experts.2.w2.weight": "model-00031-of-00039.safetensors",
574
+ "model.layers.25.block_sparse_moe.experts.2.w3.weight": "model-00031-of-00039.safetensors",
575
+ "model.layers.25.block_sparse_moe.experts.3.w1.weight": "model-00031-of-00039.safetensors",
576
+ "model.layers.25.block_sparse_moe.experts.3.w2.weight": "model-00031-of-00039.safetensors",
577
+ "model.layers.25.block_sparse_moe.experts.3.w3.weight": "model-00031-of-00039.safetensors",
578
+ "model.layers.25.block_sparse_moe.experts.4.w1.weight": "model-00031-of-00039.safetensors",
579
+ "model.layers.25.block_sparse_moe.experts.4.w2.weight": "model-00031-of-00039.safetensors",
580
+ "model.layers.25.block_sparse_moe.experts.4.w3.weight": "model-00031-of-00039.safetensors",
581
+ "model.layers.25.block_sparse_moe.experts.5.w1.weight": "model-00031-of-00039.safetensors",
582
+ "model.layers.25.block_sparse_moe.experts.5.w2.weight": "model-00031-of-00039.safetensors",
583
+ "model.layers.25.block_sparse_moe.experts.5.w3.weight": "model-00031-of-00039.safetensors",
584
+ "model.layers.25.block_sparse_moe.experts.6.w1.weight": "model-00031-of-00039.safetensors",
585
+ "model.layers.25.block_sparse_moe.experts.6.w2.weight": "model-00031-of-00039.safetensors",
586
+ "model.layers.25.block_sparse_moe.experts.6.w3.weight": "model-00031-of-00039.safetensors",
587
+ "model.layers.25.block_sparse_moe.experts.7.w1.weight": "model-00031-of-00039.safetensors",
588
+ "model.layers.25.block_sparse_moe.experts.7.w2.weight": "model-00031-of-00039.safetensors",
589
+ "model.layers.25.block_sparse_moe.experts.7.w3.weight": "model-00032-of-00039.safetensors",
590
+ "model.layers.25.block_sparse_moe.gate.weight": "model-00030-of-00039.safetensors",
591
+ "model.layers.25.input_layernorm.weight": "model-00032-of-00039.safetensors",
592
+ "model.layers.25.post_attention_layernorm.weight": "model-00032-of-00039.safetensors",
593
+ "model.layers.25.self_attn.k_proj.weight": "model-00030-of-00039.safetensors",
594
+ "model.layers.25.self_attn.o_proj.weight": "model-00030-of-00039.safetensors",
595
+ "model.layers.25.self_attn.q_proj.weight": "model-00030-of-00039.safetensors",
596
+ "model.layers.25.self_attn.v_proj.weight": "model-00030-of-00039.safetensors",
597
+ "model.layers.26.block_sparse_moe.experts.0.w1.weight": "model-00032-of-00039.safetensors",
598
+ "model.layers.26.block_sparse_moe.experts.0.w2.weight": "model-00032-of-00039.safetensors",
599
+ "model.layers.26.block_sparse_moe.experts.0.w3.weight": "model-00032-of-00039.safetensors",
600
+ "model.layers.26.block_sparse_moe.experts.1.w1.weight": "model-00032-of-00039.safetensors",
601
+ "model.layers.26.block_sparse_moe.experts.1.w2.weight": "model-00032-of-00039.safetensors",
602
+ "model.layers.26.block_sparse_moe.experts.1.w3.weight": "model-00032-of-00039.safetensors",
603
+ "model.layers.26.block_sparse_moe.experts.2.w1.weight": "model-00032-of-00039.safetensors",
604
+ "model.layers.26.block_sparse_moe.experts.2.w2.weight": "model-00032-of-00039.safetensors",
605
+ "model.layers.26.block_sparse_moe.experts.2.w3.weight": "model-00032-of-00039.safetensors",
606
+ "model.layers.26.block_sparse_moe.experts.3.w1.weight": "model-00032-of-00039.safetensors",
607
+ "model.layers.26.block_sparse_moe.experts.3.w2.weight": "model-00032-of-00039.safetensors",
608
+ "model.layers.26.block_sparse_moe.experts.3.w3.weight": "model-00032-of-00039.safetensors",
609
+ "model.layers.26.block_sparse_moe.experts.4.w1.weight": "model-00032-of-00039.safetensors",
610
+ "model.layers.26.block_sparse_moe.experts.4.w2.weight": "model-00032-of-00039.safetensors",
611
+ "model.layers.26.block_sparse_moe.experts.4.w3.weight": "model-00032-of-00039.safetensors",
612
+ "model.layers.26.block_sparse_moe.experts.5.w1.weight": "model-00032-of-00039.safetensors",
613
+ "model.layers.26.block_sparse_moe.experts.5.w2.weight": "model-00032-of-00039.safetensors",
614
+ "model.layers.26.block_sparse_moe.experts.5.w3.weight": "model-00032-of-00039.safetensors",
615
+ "model.layers.26.block_sparse_moe.experts.6.w1.weight": "model-00032-of-00039.safetensors",
616
+ "model.layers.26.block_sparse_moe.experts.6.w2.weight": "model-00033-of-00039.safetensors",
617
+ "model.layers.26.block_sparse_moe.experts.6.w3.weight": "model-00033-of-00039.safetensors",
618
+ "model.layers.26.block_sparse_moe.experts.7.w1.weight": "model-00033-of-00039.safetensors",
619
+ "model.layers.26.block_sparse_moe.experts.7.w2.weight": "model-00033-of-00039.safetensors",
620
+ "model.layers.26.block_sparse_moe.experts.7.w3.weight": "model-00033-of-00039.safetensors",
621
+ "model.layers.26.block_sparse_moe.gate.weight": "model-00032-of-00039.safetensors",
622
+ "model.layers.26.input_layernorm.weight": "model-00033-of-00039.safetensors",
623
+ "model.layers.26.post_attention_layernorm.weight": "model-00033-of-00039.safetensors",
624
+ "model.layers.26.self_attn.k_proj.weight": "model-00032-of-00039.safetensors",
625
+ "model.layers.26.self_attn.o_proj.weight": "model-00032-of-00039.safetensors",
626
+ "model.layers.26.self_attn.q_proj.weight": "model-00032-of-00039.safetensors",
627
+ "model.layers.26.self_attn.v_proj.weight": "model-00032-of-00039.safetensors",
628
+ "model.layers.27.block_sparse_moe.experts.0.w1.weight": "model-00033-of-00039.safetensors",
629
+ "model.layers.27.block_sparse_moe.experts.0.w2.weight": "model-00033-of-00039.safetensors",
630
+ "model.layers.27.block_sparse_moe.experts.0.w3.weight": "model-00033-of-00039.safetensors",
631
+ "model.layers.27.block_sparse_moe.experts.1.w1.weight": "model-00033-of-00039.safetensors",
632
+ "model.layers.27.block_sparse_moe.experts.1.w2.weight": "model-00033-of-00039.safetensors",
633
+ "model.layers.27.block_sparse_moe.experts.1.w3.weight": "model-00033-of-00039.safetensors",
634
+ "model.layers.27.block_sparse_moe.experts.2.w1.weight": "model-00033-of-00039.safetensors",
635
+ "model.layers.27.block_sparse_moe.experts.2.w2.weight": "model-00033-of-00039.safetensors",
636
+ "model.layers.27.block_sparse_moe.experts.2.w3.weight": "model-00033-of-00039.safetensors",
637
+ "model.layers.27.block_sparse_moe.experts.3.w1.weight": "model-00033-of-00039.safetensors",
638
+ "model.layers.27.block_sparse_moe.experts.3.w2.weight": "model-00033-of-00039.safetensors",
639
+ "model.layers.27.block_sparse_moe.experts.3.w3.weight": "model-00033-of-00039.safetensors",
640
+ "model.layers.27.block_sparse_moe.experts.4.w1.weight": "model-00033-of-00039.safetensors",
641
+ "model.layers.27.block_sparse_moe.experts.4.w2.weight": "model-00033-of-00039.safetensors",
642
+ "model.layers.27.block_sparse_moe.experts.4.w3.weight": "model-00033-of-00039.safetensors",
643
+ "model.layers.27.block_sparse_moe.experts.5.w1.weight": "model-00034-of-00039.safetensors",
644
+ "model.layers.27.block_sparse_moe.experts.5.w2.weight": "model-00034-of-00039.safetensors",
645
+ "model.layers.27.block_sparse_moe.experts.5.w3.weight": "model-00034-of-00039.safetensors",
646
+ "model.layers.27.block_sparse_moe.experts.6.w1.weight": "model-00034-of-00039.safetensors",
647
+ "model.layers.27.block_sparse_moe.experts.6.w2.weight": "model-00034-of-00039.safetensors",
648
+ "model.layers.27.block_sparse_moe.experts.6.w3.weight": "model-00034-of-00039.safetensors",
649
+ "model.layers.27.block_sparse_moe.experts.7.w1.weight": "model-00034-of-00039.safetensors",
650
+ "model.layers.27.block_sparse_moe.experts.7.w2.weight": "model-00034-of-00039.safetensors",
651
+ "model.layers.27.block_sparse_moe.experts.7.w3.weight": "model-00034-of-00039.safetensors",
652
+ "model.layers.27.block_sparse_moe.gate.weight": "model-00033-of-00039.safetensors",
653
+ "model.layers.27.input_layernorm.weight": "model-00034-of-00039.safetensors",
654
+ "model.layers.27.post_attention_layernorm.weight": "model-00034-of-00039.safetensors",
655
+ "model.layers.27.self_attn.k_proj.weight": "model-00033-of-00039.safetensors",
656
+ "model.layers.27.self_attn.o_proj.weight": "model-00033-of-00039.safetensors",
657
+ "model.layers.27.self_attn.q_proj.weight": "model-00033-of-00039.safetensors",
658
+ "model.layers.27.self_attn.v_proj.weight": "model-00033-of-00039.safetensors",
659
+ "model.layers.28.block_sparse_moe.experts.0.w1.weight": "model-00034-of-00039.safetensors",
660
+ "model.layers.28.block_sparse_moe.experts.0.w2.weight": "model-00034-of-00039.safetensors",
661
+ "model.layers.28.block_sparse_moe.experts.0.w3.weight": "model-00034-of-00039.safetensors",
662
+ "model.layers.28.block_sparse_moe.experts.1.w1.weight": "model-00034-of-00039.safetensors",
663
+ "model.layers.28.block_sparse_moe.experts.1.w2.weight": "model-00034-of-00039.safetensors",
664
+ "model.layers.28.block_sparse_moe.experts.1.w3.weight": "model-00034-of-00039.safetensors",
665
+ "model.layers.28.block_sparse_moe.experts.2.w1.weight": "model-00034-of-00039.safetensors",
666
+ "model.layers.28.block_sparse_moe.experts.2.w2.weight": "model-00034-of-00039.safetensors",
667
+ "model.layers.28.block_sparse_moe.experts.2.w3.weight": "model-00034-of-00039.safetensors",
668
+ "model.layers.28.block_sparse_moe.experts.3.w1.weight": "model-00034-of-00039.safetensors",
669
+ "model.layers.28.block_sparse_moe.experts.3.w2.weight": "model-00034-of-00039.safetensors",
670
+ "model.layers.28.block_sparse_moe.experts.3.w3.weight": "model-00035-of-00039.safetensors",
671
+ "model.layers.28.block_sparse_moe.experts.4.w1.weight": "model-00035-of-00039.safetensors",
672
+ "model.layers.28.block_sparse_moe.experts.4.w2.weight": "model-00035-of-00039.safetensors",
673
+ "model.layers.28.block_sparse_moe.experts.4.w3.weight": "model-00035-of-00039.safetensors",
674
+ "model.layers.28.block_sparse_moe.experts.5.w1.weight": "model-00035-of-00039.safetensors",
675
+ "model.layers.28.block_sparse_moe.experts.5.w2.weight": "model-00035-of-00039.safetensors",
676
+ "model.layers.28.block_sparse_moe.experts.5.w3.weight": "model-00035-of-00039.safetensors",
677
+ "model.layers.28.block_sparse_moe.experts.6.w1.weight": "model-00035-of-00039.safetensors",
678
+ "model.layers.28.block_sparse_moe.experts.6.w2.weight": "model-00035-of-00039.safetensors",
679
+ "model.layers.28.block_sparse_moe.experts.6.w3.weight": "model-00035-of-00039.safetensors",
680
+ "model.layers.28.block_sparse_moe.experts.7.w1.weight": "model-00035-of-00039.safetensors",
681
+ "model.layers.28.block_sparse_moe.experts.7.w2.weight": "model-00035-of-00039.safetensors",
682
+ "model.layers.28.block_sparse_moe.experts.7.w3.weight": "model-00035-of-00039.safetensors",
683
+ "model.layers.28.block_sparse_moe.gate.weight": "model-00034-of-00039.safetensors",
684
+ "model.layers.28.input_layernorm.weight": "model-00035-of-00039.safetensors",
685
+ "model.layers.28.post_attention_layernorm.weight": "model-00035-of-00039.safetensors",
686
+ "model.layers.28.self_attn.k_proj.weight": "model-00034-of-00039.safetensors",
687
+ "model.layers.28.self_attn.o_proj.weight": "model-00034-of-00039.safetensors",
688
+ "model.layers.28.self_attn.q_proj.weight": "model-00034-of-00039.safetensors",
689
+ "model.layers.28.self_attn.v_proj.weight": "model-00034-of-00039.safetensors",
690
+ "model.layers.29.block_sparse_moe.experts.0.w1.weight": "model-00035-of-00039.safetensors",
691
+ "model.layers.29.block_sparse_moe.experts.0.w2.weight": "model-00035-of-00039.safetensors",
692
+ "model.layers.29.block_sparse_moe.experts.0.w3.weight": "model-00035-of-00039.safetensors",
693
+ "model.layers.29.block_sparse_moe.experts.1.w1.weight": "model-00035-of-00039.safetensors",
694
+ "model.layers.29.block_sparse_moe.experts.1.w2.weight": "model-00035-of-00039.safetensors",
695
+ "model.layers.29.block_sparse_moe.experts.1.w3.weight": "model-00035-of-00039.safetensors",
696
+ "model.layers.29.block_sparse_moe.experts.2.w1.weight": "model-00035-of-00039.safetensors",
697
+ "model.layers.29.block_sparse_moe.experts.2.w2.weight": "model-00036-of-00039.safetensors",
698
+ "model.layers.29.block_sparse_moe.experts.2.w3.weight": "model-00036-of-00039.safetensors",
699
+ "model.layers.29.block_sparse_moe.experts.3.w1.weight": "model-00036-of-00039.safetensors",
700
+ "model.layers.29.block_sparse_moe.experts.3.w2.weight": "model-00036-of-00039.safetensors",
701
+ "model.layers.29.block_sparse_moe.experts.3.w3.weight": "model-00036-of-00039.safetensors",
702
+ "model.layers.29.block_sparse_moe.experts.4.w1.weight": "model-00036-of-00039.safetensors",
703
+ "model.layers.29.block_sparse_moe.experts.4.w2.weight": "model-00036-of-00039.safetensors",
704
+ "model.layers.29.block_sparse_moe.experts.4.w3.weight": "model-00036-of-00039.safetensors",
705
+ "model.layers.29.block_sparse_moe.experts.5.w1.weight": "model-00036-of-00039.safetensors",
706
+ "model.layers.29.block_sparse_moe.experts.5.w2.weight": "model-00036-of-00039.safetensors",
707
+ "model.layers.29.block_sparse_moe.experts.5.w3.weight": "model-00036-of-00039.safetensors",
708
+ "model.layers.29.block_sparse_moe.experts.6.w1.weight": "model-00036-of-00039.safetensors",
709
+ "model.layers.29.block_sparse_moe.experts.6.w2.weight": "model-00036-of-00039.safetensors",
710
+ "model.layers.29.block_sparse_moe.experts.6.w3.weight": "model-00036-of-00039.safetensors",
711
+ "model.layers.29.block_sparse_moe.experts.7.w1.weight": "model-00036-of-00039.safetensors",
712
+ "model.layers.29.block_sparse_moe.experts.7.w2.weight": "model-00036-of-00039.safetensors",
713
+ "model.layers.29.block_sparse_moe.experts.7.w3.weight": "model-00036-of-00039.safetensors",
714
+ "model.layers.29.block_sparse_moe.gate.weight": "model-00035-of-00039.safetensors",
715
+ "model.layers.29.input_layernorm.weight": "model-00036-of-00039.safetensors",
716
+ "model.layers.29.post_attention_layernorm.weight": "model-00036-of-00039.safetensors",
717
+ "model.layers.29.self_attn.k_proj.weight": "model-00035-of-00039.safetensors",
718
+ "model.layers.29.self_attn.o_proj.weight": "model-00035-of-00039.safetensors",
719
+ "model.layers.29.self_attn.q_proj.weight": "model-00035-of-00039.safetensors",
720
+ "model.layers.29.self_attn.v_proj.weight": "model-00035-of-00039.safetensors",
721
+ "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00039.safetensors",
722
+ "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00039.safetensors",
723
+ "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00004-of-00039.safetensors",
724
+ "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00039.safetensors",
725
+ "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00039.safetensors",
726
+ "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00004-of-00039.safetensors",
727
+ "model.layers.3.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00039.safetensors",
728
+ "model.layers.3.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00039.safetensors",
729
+ "model.layers.3.block_sparse_moe.experts.2.w3.weight": "model-00005-of-00039.safetensors",
730
+ "model.layers.3.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00039.safetensors",
731
+ "model.layers.3.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00039.safetensors",
732
+ "model.layers.3.block_sparse_moe.experts.3.w3.weight": "model-00005-of-00039.safetensors",
733
+ "model.layers.3.block_sparse_moe.experts.4.w1.weight": "model-00005-of-00039.safetensors",
734
+ "model.layers.3.block_sparse_moe.experts.4.w2.weight": "model-00005-of-00039.safetensors",
735
+ "model.layers.3.block_sparse_moe.experts.4.w3.weight": "model-00005-of-00039.safetensors",
736
+ "model.layers.3.block_sparse_moe.experts.5.w1.weight": "model-00005-of-00039.safetensors",
737
+ "model.layers.3.block_sparse_moe.experts.5.w2.weight": "model-00005-of-00039.safetensors",
738
+ "model.layers.3.block_sparse_moe.experts.5.w3.weight": "model-00005-of-00039.safetensors",
739
+ "model.layers.3.block_sparse_moe.experts.6.w1.weight": "model-00005-of-00039.safetensors",
740
+ "model.layers.3.block_sparse_moe.experts.6.w2.weight": "model-00005-of-00039.safetensors",
741
+ "model.layers.3.block_sparse_moe.experts.6.w3.weight": "model-00005-of-00039.safetensors",
742
+ "model.layers.3.block_sparse_moe.experts.7.w1.weight": "model-00005-of-00039.safetensors",
743
+ "model.layers.3.block_sparse_moe.experts.7.w2.weight": "model-00005-of-00039.safetensors",
744
+ "model.layers.3.block_sparse_moe.experts.7.w3.weight": "model-00005-of-00039.safetensors",
745
+ "model.layers.3.block_sparse_moe.gate.weight": "model-00004-of-00039.safetensors",
746
+ "model.layers.3.input_layernorm.weight": "model-00005-of-00039.safetensors",
747
+ "model.layers.3.post_attention_layernorm.weight": "model-00005-of-00039.safetensors",
748
+ "model.layers.3.self_attn.k_proj.weight": "model-00004-of-00039.safetensors",
749
+ "model.layers.3.self_attn.o_proj.weight": "model-00004-of-00039.safetensors",
750
+ "model.layers.3.self_attn.q_proj.weight": "model-00004-of-00039.safetensors",
751
+ "model.layers.3.self_attn.v_proj.weight": "model-00004-of-00039.safetensors",
752
+ "model.layers.30.block_sparse_moe.experts.0.w1.weight": "model-00036-of-00039.safetensors",
753
+ "model.layers.30.block_sparse_moe.experts.0.w2.weight": "model-00036-of-00039.safetensors",
754
+ "model.layers.30.block_sparse_moe.experts.0.w3.weight": "model-00036-of-00039.safetensors",
755
+ "model.layers.30.block_sparse_moe.experts.1.w1.weight": "model-00037-of-00039.safetensors",
756
+ "model.layers.30.block_sparse_moe.experts.1.w2.weight": "model-00037-of-00039.safetensors",
757
+ "model.layers.30.block_sparse_moe.experts.1.w3.weight": "model-00037-of-00039.safetensors",
758
+ "model.layers.30.block_sparse_moe.experts.2.w1.weight": "model-00037-of-00039.safetensors",
759
+ "model.layers.30.block_sparse_moe.experts.2.w2.weight": "model-00037-of-00039.safetensors",
760
+ "model.layers.30.block_sparse_moe.experts.2.w3.weight": "model-00037-of-00039.safetensors",
761
+ "model.layers.30.block_sparse_moe.experts.3.w1.weight": "model-00037-of-00039.safetensors",
762
+ "model.layers.30.block_sparse_moe.experts.3.w2.weight": "model-00037-of-00039.safetensors",
763
+ "model.layers.30.block_sparse_moe.experts.3.w3.weight": "model-00037-of-00039.safetensors",
764
+ "model.layers.30.block_sparse_moe.experts.4.w1.weight": "model-00037-of-00039.safetensors",
765
+ "model.layers.30.block_sparse_moe.experts.4.w2.weight": "model-00037-of-00039.safetensors",
766
+ "model.layers.30.block_sparse_moe.experts.4.w3.weight": "model-00037-of-00039.safetensors",
767
+ "model.layers.30.block_sparse_moe.experts.5.w1.weight": "model-00037-of-00039.safetensors",
768
+ "model.layers.30.block_sparse_moe.experts.5.w2.weight": "model-00037-of-00039.safetensors",
769
+ "model.layers.30.block_sparse_moe.experts.5.w3.weight": "model-00037-of-00039.safetensors",
770
+ "model.layers.30.block_sparse_moe.experts.6.w1.weight": "model-00037-of-00039.safetensors",
771
+ "model.layers.30.block_sparse_moe.experts.6.w2.weight": "model-00037-of-00039.safetensors",
772
+ "model.layers.30.block_sparse_moe.experts.6.w3.weight": "model-00037-of-00039.safetensors",
773
+ "model.layers.30.block_sparse_moe.experts.7.w1.weight": "model-00037-of-00039.safetensors",
774
+ "model.layers.30.block_sparse_moe.experts.7.w2.weight": "model-00037-of-00039.safetensors",
775
+ "model.layers.30.block_sparse_moe.experts.7.w3.weight": "model-00037-of-00039.safetensors",
776
+ "model.layers.30.block_sparse_moe.gate.weight": "model-00036-of-00039.safetensors",
777
+ "model.layers.30.input_layernorm.weight": "model-00037-of-00039.safetensors",
778
+ "model.layers.30.post_attention_layernorm.weight": "model-00037-of-00039.safetensors",
779
+ "model.layers.30.self_attn.k_proj.weight": "model-00036-of-00039.safetensors",
780
+ "model.layers.30.self_attn.o_proj.weight": "model-00036-of-00039.safetensors",
781
+ "model.layers.30.self_attn.q_proj.weight": "model-00036-of-00039.safetensors",
782
+ "model.layers.30.self_attn.v_proj.weight": "model-00036-of-00039.safetensors",
783
+ "model.layers.31.block_sparse_moe.experts.0.w1.weight": "model-00038-of-00039.safetensors",
784
+ "model.layers.31.block_sparse_moe.experts.0.w2.weight": "model-00038-of-00039.safetensors",
785
+ "model.layers.31.block_sparse_moe.experts.0.w3.weight": "model-00038-of-00039.safetensors",
786
+ "model.layers.31.block_sparse_moe.experts.1.w1.weight": "model-00038-of-00039.safetensors",
787
+ "model.layers.31.block_sparse_moe.experts.1.w2.weight": "model-00038-of-00039.safetensors",
788
+ "model.layers.31.block_sparse_moe.experts.1.w3.weight": "model-00038-of-00039.safetensors",
789
+ "model.layers.31.block_sparse_moe.experts.2.w1.weight": "model-00038-of-00039.safetensors",
790
+ "model.layers.31.block_sparse_moe.experts.2.w2.weight": "model-00038-of-00039.safetensors",
791
+ "model.layers.31.block_sparse_moe.experts.2.w3.weight": "model-00038-of-00039.safetensors",
792
+ "model.layers.31.block_sparse_moe.experts.3.w1.weight": "model-00038-of-00039.safetensors",
793
+ "model.layers.31.block_sparse_moe.experts.3.w2.weight": "model-00038-of-00039.safetensors",
794
+ "model.layers.31.block_sparse_moe.experts.3.w3.weight": "model-00038-of-00039.safetensors",
795
+ "model.layers.31.block_sparse_moe.experts.4.w1.weight": "model-00038-of-00039.safetensors",
796
+ "model.layers.31.block_sparse_moe.experts.4.w2.weight": "model-00038-of-00039.safetensors",
797
+ "model.layers.31.block_sparse_moe.experts.4.w3.weight": "model-00038-of-00039.safetensors",
798
+ "model.layers.31.block_sparse_moe.experts.5.w1.weight": "model-00038-of-00039.safetensors",
799
+ "model.layers.31.block_sparse_moe.experts.5.w2.weight": "model-00038-of-00039.safetensors",
800
+ "model.layers.31.block_sparse_moe.experts.5.w3.weight": "model-00038-of-00039.safetensors",
801
+ "model.layers.31.block_sparse_moe.experts.6.w1.weight": "model-00038-of-00039.safetensors",
802
+ "model.layers.31.block_sparse_moe.experts.6.w2.weight": "model-00038-of-00039.safetensors",
803
+ "model.layers.31.block_sparse_moe.experts.6.w3.weight": "model-00039-of-00039.safetensors",
804
+ "model.layers.31.block_sparse_moe.experts.7.w1.weight": "model-00039-of-00039.safetensors",
805
+ "model.layers.31.block_sparse_moe.experts.7.w2.weight": "model-00039-of-00039.safetensors",
806
+ "model.layers.31.block_sparse_moe.experts.7.w3.weight": "model-00039-of-00039.safetensors",
807
+ "model.layers.31.block_sparse_moe.gate.weight": "model-00038-of-00039.safetensors",
808
+ "model.layers.31.input_layernorm.weight": "model-00039-of-00039.safetensors",
809
+ "model.layers.31.post_attention_layernorm.weight": "model-00039-of-00039.safetensors",
810
+ "model.layers.31.self_attn.k_proj.weight": "model-00038-of-00039.safetensors",
811
+ "model.layers.31.self_attn.o_proj.weight": "model-00038-of-00039.safetensors",
812
+ "model.layers.31.self_attn.q_proj.weight": "model-00037-of-00039.safetensors",
813
+ "model.layers.31.self_attn.v_proj.weight": "model-00038-of-00039.safetensors",
814
+ "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00039.safetensors",
815
+ "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00039.safetensors",
816
+ "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00006-of-00039.safetensors",
817
+ "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00039.safetensors",
818
+ "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00006-of-00039.safetensors",
819
+ "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00006-of-00039.safetensors",
820
+ "model.layers.4.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00039.safetensors",
821
+ "model.layers.4.block_sparse_moe.experts.2.w2.weight": "model-00006-of-00039.safetensors",
822
+ "model.layers.4.block_sparse_moe.experts.2.w3.weight": "model-00006-of-00039.safetensors",
823
+ "model.layers.4.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00039.safetensors",
824
+ "model.layers.4.block_sparse_moe.experts.3.w2.weight": "model-00006-of-00039.safetensors",
825
+ "model.layers.4.block_sparse_moe.experts.3.w3.weight": "model-00006-of-00039.safetensors",
826
+ "model.layers.4.block_sparse_moe.experts.4.w1.weight": "model-00006-of-00039.safetensors",
827
+ "model.layers.4.block_sparse_moe.experts.4.w2.weight": "model-00006-of-00039.safetensors",
828
+ "model.layers.4.block_sparse_moe.experts.4.w3.weight": "model-00006-of-00039.safetensors",
829
+ "model.layers.4.block_sparse_moe.experts.5.w1.weight": "model-00006-of-00039.safetensors",
830
+ "model.layers.4.block_sparse_moe.experts.5.w2.weight": "model-00006-of-00039.safetensors",
831
+ "model.layers.4.block_sparse_moe.experts.5.w3.weight": "model-00006-of-00039.safetensors",
832
+ "model.layers.4.block_sparse_moe.experts.6.w1.weight": "model-00006-of-00039.safetensors",
833
+ "model.layers.4.block_sparse_moe.experts.6.w2.weight": "model-00006-of-00039.safetensors",
834
+ "model.layers.4.block_sparse_moe.experts.6.w3.weight": "model-00006-of-00039.safetensors",
835
+ "model.layers.4.block_sparse_moe.experts.7.w1.weight": "model-00006-of-00039.safetensors",
836
+ "model.layers.4.block_sparse_moe.experts.7.w2.weight": "model-00006-of-00039.safetensors",
837
+ "model.layers.4.block_sparse_moe.experts.7.w3.weight": "model-00007-of-00039.safetensors",
838
+ "model.layers.4.block_sparse_moe.gate.weight": "model-00005-of-00039.safetensors",
839
+ "model.layers.4.input_layernorm.weight": "model-00007-of-00039.safetensors",
840
+ "model.layers.4.post_attention_layernorm.weight": "model-00007-of-00039.safetensors",
841
+ "model.layers.4.self_attn.k_proj.weight": "model-00005-of-00039.safetensors",
842
+ "model.layers.4.self_attn.o_proj.weight": "model-00005-of-00039.safetensors",
843
+ "model.layers.4.self_attn.q_proj.weight": "model-00005-of-00039.safetensors",
844
+ "model.layers.4.self_attn.v_proj.weight": "model-00005-of-00039.safetensors",
845
+ "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00039.safetensors",
846
+ "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00007-of-00039.safetensors",
847
+ "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00007-of-00039.safetensors",
848
+ "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00039.safetensors",
849
+ "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00007-of-00039.safetensors",
850
+ "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00007-of-00039.safetensors",
851
+ "model.layers.5.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00039.safetensors",
852
+ "model.layers.5.block_sparse_moe.experts.2.w2.weight": "model-00007-of-00039.safetensors",
853
+ "model.layers.5.block_sparse_moe.experts.2.w3.weight": "model-00007-of-00039.safetensors",
854
+ "model.layers.5.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00039.safetensors",
855
+ "model.layers.5.block_sparse_moe.experts.3.w2.weight": "model-00007-of-00039.safetensors",
856
+ "model.layers.5.block_sparse_moe.experts.3.w3.weight": "model-00007-of-00039.safetensors",
857
+ "model.layers.5.block_sparse_moe.experts.4.w1.weight": "model-00007-of-00039.safetensors",
858
+ "model.layers.5.block_sparse_moe.experts.4.w2.weight": "model-00007-of-00039.safetensors",
859
+ "model.layers.5.block_sparse_moe.experts.4.w3.weight": "model-00007-of-00039.safetensors",
860
+ "model.layers.5.block_sparse_moe.experts.5.w1.weight": "model-00007-of-00039.safetensors",
861
+ "model.layers.5.block_sparse_moe.experts.5.w2.weight": "model-00007-of-00039.safetensors",
862
+ "model.layers.5.block_sparse_moe.experts.5.w3.weight": "model-00007-of-00039.safetensors",
863
+ "model.layers.5.block_sparse_moe.experts.6.w1.weight": "model-00007-of-00039.safetensors",
864
+ "model.layers.5.block_sparse_moe.experts.6.w2.weight": "model-00008-of-00039.safetensors",
865
+ "model.layers.5.block_sparse_moe.experts.6.w3.weight": "model-00008-of-00039.safetensors",
866
+ "model.layers.5.block_sparse_moe.experts.7.w1.weight": "model-00008-of-00039.safetensors",
867
+ "model.layers.5.block_sparse_moe.experts.7.w2.weight": "model-00008-of-00039.safetensors",
868
+ "model.layers.5.block_sparse_moe.experts.7.w3.weight": "model-00008-of-00039.safetensors",
869
+ "model.layers.5.block_sparse_moe.gate.weight": "model-00007-of-00039.safetensors",
870
+ "model.layers.5.input_layernorm.weight": "model-00008-of-00039.safetensors",
871
+ "model.layers.5.post_attention_layernorm.weight": "model-00008-of-00039.safetensors",
872
+ "model.layers.5.self_attn.k_proj.weight": "model-00007-of-00039.safetensors",
873
+ "model.layers.5.self_attn.o_proj.weight": "model-00007-of-00039.safetensors",
874
+ "model.layers.5.self_attn.q_proj.weight": "model-00007-of-00039.safetensors",
875
+ "model.layers.5.self_attn.v_proj.weight": "model-00007-of-00039.safetensors",
876
+ "model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00008-of-00039.safetensors",
877
+ "model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00008-of-00039.safetensors",
878
+ "model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00008-of-00039.safetensors",
879
+ "model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00008-of-00039.safetensors",
880
+ "model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00008-of-00039.safetensors",
881
+ "model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00008-of-00039.safetensors",
882
+ "model.layers.6.block_sparse_moe.experts.2.w1.weight": "model-00008-of-00039.safetensors",
883
+ "model.layers.6.block_sparse_moe.experts.2.w2.weight": "model-00008-of-00039.safetensors",
884
+ "model.layers.6.block_sparse_moe.experts.2.w3.weight": "model-00008-of-00039.safetensors",
885
+ "model.layers.6.block_sparse_moe.experts.3.w1.weight": "model-00008-of-00039.safetensors",
886
+ "model.layers.6.block_sparse_moe.experts.3.w2.weight": "model-00008-of-00039.safetensors",
887
+ "model.layers.6.block_sparse_moe.experts.3.w3.weight": "model-00008-of-00039.safetensors",
888
+ "model.layers.6.block_sparse_moe.experts.4.w1.weight": "model-00008-of-00039.safetensors",
889
+ "model.layers.6.block_sparse_moe.experts.4.w2.weight": "model-00008-of-00039.safetensors",
890
+ "model.layers.6.block_sparse_moe.experts.4.w3.weight": "model-00008-of-00039.safetensors",
891
+ "model.layers.6.block_sparse_moe.experts.5.w1.weight": "model-00009-of-00039.safetensors",
892
+ "model.layers.6.block_sparse_moe.experts.5.w2.weight": "model-00009-of-00039.safetensors",
893
+ "model.layers.6.block_sparse_moe.experts.5.w3.weight": "model-00009-of-00039.safetensors",
894
+ "model.layers.6.block_sparse_moe.experts.6.w1.weight": "model-00009-of-00039.safetensors",
895
+ "model.layers.6.block_sparse_moe.experts.6.w2.weight": "model-00009-of-00039.safetensors",
896
+ "model.layers.6.block_sparse_moe.experts.6.w3.weight": "model-00009-of-00039.safetensors",
897
+ "model.layers.6.block_sparse_moe.experts.7.w1.weight": "model-00009-of-00039.safetensors",
898
+ "model.layers.6.block_sparse_moe.experts.7.w2.weight": "model-00009-of-00039.safetensors",
899
+ "model.layers.6.block_sparse_moe.experts.7.w3.weight": "model-00009-of-00039.safetensors",
900
+ "model.layers.6.block_sparse_moe.gate.weight": "model-00008-of-00039.safetensors",
901
+ "model.layers.6.input_layernorm.weight": "model-00009-of-00039.safetensors",
902
+ "model.layers.6.post_attention_layernorm.weight": "model-00009-of-00039.safetensors",
903
+ "model.layers.6.self_attn.k_proj.weight": "model-00008-of-00039.safetensors",
904
+ "model.layers.6.self_attn.o_proj.weight": "model-00008-of-00039.safetensors",
905
+ "model.layers.6.self_attn.q_proj.weight": "model-00008-of-00039.safetensors",
906
+ "model.layers.6.self_attn.v_proj.weight": "model-00008-of-00039.safetensors",
907
+ "model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00009-of-00039.safetensors",
908
+ "model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00009-of-00039.safetensors",
909
+ "model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00009-of-00039.safetensors",
910
+ "model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00009-of-00039.safetensors",
911
+ "model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00009-of-00039.safetensors",
912
+ "model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00009-of-00039.safetensors",
913
+ "model.layers.7.block_sparse_moe.experts.2.w1.weight": "model-00009-of-00039.safetensors",
914
+ "model.layers.7.block_sparse_moe.experts.2.w2.weight": "model-00009-of-00039.safetensors",
915
+ "model.layers.7.block_sparse_moe.experts.2.w3.weight": "model-00009-of-00039.safetensors",
916
+ "model.layers.7.block_sparse_moe.experts.3.w1.weight": "model-00009-of-00039.safetensors",
917
+ "model.layers.7.block_sparse_moe.experts.3.w2.weight": "model-00009-of-00039.safetensors",
918
+ "model.layers.7.block_sparse_moe.experts.3.w3.weight": "model-00010-of-00039.safetensors",
919
+ "model.layers.7.block_sparse_moe.experts.4.w1.weight": "model-00010-of-00039.safetensors",
920
+ "model.layers.7.block_sparse_moe.experts.4.w2.weight": "model-00010-of-00039.safetensors",
921
+ "model.layers.7.block_sparse_moe.experts.4.w3.weight": "model-00010-of-00039.safetensors",
922
+ "model.layers.7.block_sparse_moe.experts.5.w1.weight": "model-00010-of-00039.safetensors",
923
+ "model.layers.7.block_sparse_moe.experts.5.w2.weight": "model-00010-of-00039.safetensors",
924
+ "model.layers.7.block_sparse_moe.experts.5.w3.weight": "model-00010-of-00039.safetensors",
925
+ "model.layers.7.block_sparse_moe.experts.6.w1.weight": "model-00010-of-00039.safetensors",
926
+ "model.layers.7.block_sparse_moe.experts.6.w2.weight": "model-00010-of-00039.safetensors",
927
+ "model.layers.7.block_sparse_moe.experts.6.w3.weight": "model-00010-of-00039.safetensors",
928
+ "model.layers.7.block_sparse_moe.experts.7.w1.weight": "model-00010-of-00039.safetensors",
929
+ "model.layers.7.block_sparse_moe.experts.7.w2.weight": "model-00010-of-00039.safetensors",
930
+ "model.layers.7.block_sparse_moe.experts.7.w3.weight": "model-00010-of-00039.safetensors",
931
+ "model.layers.7.block_sparse_moe.gate.weight": "model-00009-of-00039.safetensors",
932
+ "model.layers.7.input_layernorm.weight": "model-00010-of-00039.safetensors",
933
+ "model.layers.7.post_attention_layernorm.weight": "model-00010-of-00039.safetensors",
934
+ "model.layers.7.self_attn.k_proj.weight": "model-00009-of-00039.safetensors",
935
+ "model.layers.7.self_attn.o_proj.weight": "model-00009-of-00039.safetensors",
936
+ "model.layers.7.self_attn.q_proj.weight": "model-00009-of-00039.safetensors",
937
+ "model.layers.7.self_attn.v_proj.weight": "model-00009-of-00039.safetensors",
938
+ "model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00010-of-00039.safetensors",
939
+ "model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00010-of-00039.safetensors",
940
+ "model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00010-of-00039.safetensors",
941
+ "model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00010-of-00039.safetensors",
942
+ "model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00010-of-00039.safetensors",
943
+ "model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00010-of-00039.safetensors",
944
+ "model.layers.8.block_sparse_moe.experts.2.w1.weight": "model-00010-of-00039.safetensors",
945
+ "model.layers.8.block_sparse_moe.experts.2.w2.weight": "model-00011-of-00039.safetensors",
946
+ "model.layers.8.block_sparse_moe.experts.2.w3.weight": "model-00011-of-00039.safetensors",
947
+ "model.layers.8.block_sparse_moe.experts.3.w1.weight": "model-00011-of-00039.safetensors",
948
+ "model.layers.8.block_sparse_moe.experts.3.w2.weight": "model-00011-of-00039.safetensors",
949
+ "model.layers.8.block_sparse_moe.experts.3.w3.weight": "model-00011-of-00039.safetensors",
950
+ "model.layers.8.block_sparse_moe.experts.4.w1.weight": "model-00011-of-00039.safetensors",
951
+ "model.layers.8.block_sparse_moe.experts.4.w2.weight": "model-00011-of-00039.safetensors",
952
+ "model.layers.8.block_sparse_moe.experts.4.w3.weight": "model-00011-of-00039.safetensors",
953
+ "model.layers.8.block_sparse_moe.experts.5.w1.weight": "model-00011-of-00039.safetensors",
954
+ "model.layers.8.block_sparse_moe.experts.5.w2.weight": "model-00011-of-00039.safetensors",
955
+ "model.layers.8.block_sparse_moe.experts.5.w3.weight": "model-00011-of-00039.safetensors",
956
+ "model.layers.8.block_sparse_moe.experts.6.w1.weight": "model-00011-of-00039.safetensors",
957
+ "model.layers.8.block_sparse_moe.experts.6.w2.weight": "model-00011-of-00039.safetensors",
958
+ "model.layers.8.block_sparse_moe.experts.6.w3.weight": "model-00011-of-00039.safetensors",
959
+ "model.layers.8.block_sparse_moe.experts.7.w1.weight": "model-00011-of-00039.safetensors",
960
+ "model.layers.8.block_sparse_moe.experts.7.w2.weight": "model-00011-of-00039.safetensors",
961
+ "model.layers.8.block_sparse_moe.experts.7.w3.weight": "model-00011-of-00039.safetensors",
962
+ "model.layers.8.block_sparse_moe.gate.weight": "model-00010-of-00039.safetensors",
963
+ "model.layers.8.input_layernorm.weight": "model-00011-of-00039.safetensors",
964
+ "model.layers.8.post_attention_layernorm.weight": "model-00011-of-00039.safetensors",
965
+ "model.layers.8.self_attn.k_proj.weight": "model-00010-of-00039.safetensors",
966
+ "model.layers.8.self_attn.o_proj.weight": "model-00010-of-00039.safetensors",
967
+ "model.layers.8.self_attn.q_proj.weight": "model-00010-of-00039.safetensors",
968
+ "model.layers.8.self_attn.v_proj.weight": "model-00010-of-00039.safetensors",
969
+ "model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00011-of-00039.safetensors",
970
+ "model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00011-of-00039.safetensors",
971
+ "model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00011-of-00039.safetensors",
972
+ "model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00012-of-00039.safetensors",
973
+ "model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00012-of-00039.safetensors",
974
+ "model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00012-of-00039.safetensors",
975
+ "model.layers.9.block_sparse_moe.experts.2.w1.weight": "model-00012-of-00039.safetensors",
976
+ "model.layers.9.block_sparse_moe.experts.2.w2.weight": "model-00012-of-00039.safetensors",
977
+ "model.layers.9.block_sparse_moe.experts.2.w3.weight": "model-00012-of-00039.safetensors",
978
+ "model.layers.9.block_sparse_moe.experts.3.w1.weight": "model-00012-of-00039.safetensors",
979
+ "model.layers.9.block_sparse_moe.experts.3.w2.weight": "model-00012-of-00039.safetensors",
980
+ "model.layers.9.block_sparse_moe.experts.3.w3.weight": "model-00012-of-00039.safetensors",
981
+ "model.layers.9.block_sparse_moe.experts.4.w1.weight": "model-00012-of-00039.safetensors",
982
+ "model.layers.9.block_sparse_moe.experts.4.w2.weight": "model-00012-of-00039.safetensors",
983
+ "model.layers.9.block_sparse_moe.experts.4.w3.weight": "model-00012-of-00039.safetensors",
984
+ "model.layers.9.block_sparse_moe.experts.5.w1.weight": "model-00012-of-00039.safetensors",
985
+ "model.layers.9.block_sparse_moe.experts.5.w2.weight": "model-00012-of-00039.safetensors",
986
+ "model.layers.9.block_sparse_moe.experts.5.w3.weight": "model-00012-of-00039.safetensors",
987
+ "model.layers.9.block_sparse_moe.experts.6.w1.weight": "model-00012-of-00039.safetensors",
988
+ "model.layers.9.block_sparse_moe.experts.6.w2.weight": "model-00012-of-00039.safetensors",
989
+ "model.layers.9.block_sparse_moe.experts.6.w3.weight": "model-00012-of-00039.safetensors",
990
+ "model.layers.9.block_sparse_moe.experts.7.w1.weight": "model-00012-of-00039.safetensors",
991
+ "model.layers.9.block_sparse_moe.experts.7.w2.weight": "model-00012-of-00039.safetensors",
992
+ "model.layers.9.block_sparse_moe.experts.7.w3.weight": "model-00012-of-00039.safetensors",
993
+ "model.layers.9.block_sparse_moe.gate.weight": "model-00011-of-00039.safetensors",
994
+ "model.layers.9.input_layernorm.weight": "model-00012-of-00039.safetensors",
995
+ "model.layers.9.post_attention_layernorm.weight": "model-00012-of-00039.safetensors",
996
+ "model.layers.9.self_attn.k_proj.weight": "model-00011-of-00039.safetensors",
997
+ "model.layers.9.self_attn.o_proj.weight": "model-00011-of-00039.safetensors",
998
+ "model.layers.9.self_attn.q_proj.weight": "model-00011-of-00039.safetensors",
999
+ "model.layers.9.self_attn.v_proj.weight": "model-00011-of-00039.safetensors",
1000
+ "model.norm.weight": "model-00039-of-00039.safetensors"
1001
+ }
1002
+ }
output-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0969ba13677782727eed70c6d18a745d2c9670f09429aae5145d075c0b997117
3
+ size 8582902712
output-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1947006a6d1e1e86e7770d3ce52e440e27d2b9d514511104c444a11e36b795dd
3
+ size 8588309928
output-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1433f421914d8240eea23319b7e9ec8623ec2e4497b1c8e131406d3762cf8ab3
3
+ size 612129640
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": true,
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
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": true,
35
+ "model_max_length": 2048,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
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
+ }