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README.md ADDED
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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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+
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+ reuploaded for convenience without the cringe gate and pickled model duplicate
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+
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+ # Model Card for Mistral-7B-v0.1
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+
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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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+
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+ For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/).
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+
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+ ## Model Architecture
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+
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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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+
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+ ## Troubleshooting
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+
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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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+
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+ Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.
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+
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+ ## Notice
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+
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+ Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.
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+
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+ ## The Mistral AI Team
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+
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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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+ {
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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": "bfloat16",
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+ "transformers_version": "4.34.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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