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Model: mistralai/Mistral-7B-v0.3 Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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library_name: vllm
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license: apache-2.0
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extra_gated_description: >-
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If you want to learn more about how we process your personal data, please read
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our <a href="https://mistral.ai/fr/terms/">Privacy Policy</a>.
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tags:
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- mistral-common
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---
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# Model Card for Mistral-7B-v0.3
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The Mistral-7B-v0.3 Large Language Model (LLM) is a Mistral-7B-v0.2 with extended vocabulary.
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Mistral-7B-v0.3 has the following changes compared to [Mistral-7B-v0.2](https://huggingface.co/mistralai/Mistral-7B-v0.2/edit/main/README.md)
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- Extended vocabulary to 32768
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## Installation
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It is recommended to use `mistralai/Mistral-7B-v0.3` with [mistral-inference](https://github.com/mistralai/mistral-inference). For HF transformers code snippets, please keep scrolling.
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```
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pip install mistral_inference
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```
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## Download
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```py
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from huggingface_hub import snapshot_download
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from pathlib import Path
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mistral_models_path = Path.home().joinpath('mistral_models', '7B-v0.3')
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mistral_models_path.mkdir(parents=True, exist_ok=True)
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snapshot_download(repo_id="mistralai/Mistral-7B-v0.3", allow_patterns=["params.json", "consolidated.safetensors", "tokenizer.model.v3"], local_dir=mistral_models_path)
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```
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### Demo
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After installing `mistral_inference`, a `mistral-demo` CLI command should be available in your environment.
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```
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mistral-demo $HOME/mistral_models/7B-v0.3
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```
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Should give something along the following lines:
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```
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This is a test of the emergency broadcast system. This is only a test.
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If this were a real emergency, you would be told what to do.
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This is a test
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=====================
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This is another test of the new blogging software. I’m not sure if I’m going to keep it or not. I’m not sure if I’m going to keep
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=====================
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This is a third test, mistral AI is very good at testing. 🙂
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This is a third test, mistral AI is very good at testing. 🙂
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This
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=====================
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```
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## Generate with `transformers`
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If you want to use Hugging Face `transformers` to generate text, you can do something like this.
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```py
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "mistralai/Mistral-7B-v0.3"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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inputs = tokenizer("Hello my name is", return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=20)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Limitations
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The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance.
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It does not have any moderation mechanisms. We're looking forward to engaging with the community on ways to
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make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.
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## The Mistral AI Team
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Albert Jiang, Alexandre Sablayrolles, Alexis Tacnet, Antoine Roux, Arthur Mensch, Audrey Herblin-Stoop, Baptiste Bout, Baudouin de Monicault, Blanche Savary, Bam4d, Caroline Feldman, Devendra Singh Chaplot, Diego de las Casas, Eleonore Arcelin, Emma Bou Hanna, Etienne Metzger, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Harizo Rajaona, Jean-Malo Delignon, Jia Li, Justus Murke, Louis Martin, Louis Ternon, Lucile Saulnier, Lélio Renard Lavaud, Margaret Jennings, Marie Pellat, Marie Torelli, Marie-Anne Lachaux, Nicolas Schuhl, Patrick von Platen, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Thibaut Lavril, Timothée Lacroix, Théophile Gervet, Thomas Wang, Valera Nemychnikova, William El Sayed, William Marshall
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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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": 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": 1000000.0,
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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": "4.42.0.dev0",
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"use_cache": true,
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"vocab_size": 32768
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}
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|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
11
params.json
Normal file
11
params.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"dim": 4096,
|
||||
"n_layers": 32,
|
||||
"head_dim": 128,
|
||||
"hidden_dim": 14336,
|
||||
"n_heads": 32,
|
||||
"n_kv_heads": 8,
|
||||
"norm_eps": 1e-05,
|
||||
"vocab_size": 32768,
|
||||
"rope_theta": 1000000.0
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"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
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
98793
tokenizer.json
Normal file
98793
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
BIN
tokenizer.model.v3
Normal file
BIN
tokenizer.model.v3
Normal file
Binary file not shown.
6186
tokenizer_config.json
Normal file
6186
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user