add model
Browse files- README.md +39 -0
- config.json +30 -0
- generation_config.json +6 -0
- mergelist.txt +6 -0
- model-00001-of-00019.safetensors +3 -0
- model-00002-of-00019.safetensors +3 -0
- model-00003-of-00019.safetensors +3 -0
- model-00004-of-00019.safetensors +3 -0
- model-00005-of-00019.safetensors +3 -0
- model-00006-of-00019.safetensors +3 -0
- model-00007-of-00019.safetensors +3 -0
- model-00008-of-00019.safetensors +3 -0
- model-00009-of-00019.safetensors +3 -0
- model-00010-of-00019.safetensors +3 -0
- model-00011-of-00019.safetensors +3 -0
- model-00012-of-00019.safetensors +3 -0
- model-00013-of-00019.safetensors +3 -0
- model-00014-of-00019.safetensors +3 -0
- model-00015-of-00019.safetensors +3 -0
- model-00016-of-00019.safetensors +3 -0
- model-00017-of-00019.safetensors +3 -0
- model-00018-of-00019.safetensors +3 -0
- model-00019-of-00019.safetensors +3 -0
- model.safetensors.index.json +1002 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +61 -0
README.md
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---
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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inference: false
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tags:
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- dare
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- super mario merge
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- pytorch
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- mixtral
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- merge
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---
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# mixtral megamerge 8x7b v1
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The following models were merged with DARE using [https://github.com/martyn/safetensors-merge-supermario](https://github.com/martyn/safetensors-merge-supermario)
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## Mergelist
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```
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mistralai/Mixtral-8x7B-v0.1
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mistralai/Mixtral-8x7B-Instruct-v0.1
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cognitivecomputations/dolphin-2.6-mixtral-8x7b
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Brillibitg/Instruct_Mixtral-8x7B-v0.1_Dolly15K
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orangetin/OpenHermes-Mixtral-8x7B
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NeverSleep/Noromaid-v0.1-mixtral-8x7b-v3
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```
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## Merge command
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```
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python3 hf_merge.py to_merge_mixtral2.txt mixtral-2 -p 0.15 -lambda 1.95
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```
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### Notes
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* MoE gates were filtered for compatibility then averaged with `(tensor1 + tensor2)/2`
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* seems to generalize prompting formats and sampling settings
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config.json
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{
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"_name_or_path": "/workspace/models/Mixtral-8x7B-v0.1",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 8,
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"output_router_logits": true,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.02,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.0.dev0",
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"use_cache": false,
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"vocab_size": 32002
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.36.0.dev0"
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}
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mergelist.txt
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mistralai/Mixtral-8x7B-v0.1
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mistralai/Mixtral-8x7B-Instruct-v0.1
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cognitivecomputations/dolphin-2.6-mixtral-8x7b
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Brillibits/Instruct_Mixtral-8x7B-v0.1_Dolly15K
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orangetin/OpenHermes-Mixtral-8x7B
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NeverSleep/Noromaid-v0.1-mixtral-8x7b-v3
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model-00001-of-00019.safetensors
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model-00002-of-00019.safetensors
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model-00018-of-00019.safetensors
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model.safetensors.index.json
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"tokenizer_class": "LlamaTokenizer",
|
57 |
+
"trust_remote_code": true,
|
58 |
+
"unk_token": "<unk>",
|
59 |
+
"use_default_system_prompt": false,
|
60 |
+
"use_fast": true
|
61 |
+
}
|