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Model: Hugofernandez/Mistral-7B-v0.1-colab-sharded Source: Original Platform
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README.md
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---
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license: apache-2.0
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pipeline_tag: text-generation
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language:
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- en
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tags:
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- pretrained
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inference:
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parameters:
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temperature: 0.7
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---
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# Model Card for Mistral-7B-v0.1-colab-sharded
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This model is a re-sharded version of Mistral-7B-v0.1, with more shard (6 instead of 2), that enable an easier loading on machine that don't have a lot of RAM such a free version of Google Colab.
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The original model can be found here : https://huggingface.co/mistralai/Mistral-7B-v0.1
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## Model Description
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The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
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Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
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For full details of this model please read the [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/).
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## Model Architecture
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Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
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- Grouped-Query Attention
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- Sliding-Window Attention
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- Byte-fallback BPE tokenizer
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## Troubleshooting
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- If you see the following error:
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```
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KeyError: 'mistral'
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```
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- Or:
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```
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NotImplementedError: Cannot copy out of meta tensor; no data!
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```
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Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.
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## Notice
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Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.
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## The Mistral AI Team
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Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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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": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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}
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"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
||||||
|
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
||||||
|
"model.layers.6.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
||||||
|
"model.norm.weight": "pytorch_model-00006-of-00006.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": "<unk>",
|
||||||
|
"unk_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
40
tokenizer_config.json
Normal file
40
tokenizer_config.json
Normal file
@@ -0,0 +1,40 @@
|
|||||||
|
{
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"0": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"1": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [],
|
||||||
|
"bos_token": "<s>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "</s>",
|
||||||
|
"legacy": true,
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": "<unk>",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"spaces_between_special_tokens": false,
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": "<unk>",
|
||||||
|
"use_default_system_prompt": true
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user