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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: llama2
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ datasets:
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+ - jondurbin/airoboros-2.2.1
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+ - Open-Orca/OpenOrca
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+ - garage-bAInd/Open-Platypus
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+ - ehartford/samantha-data
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+ - stingning/ultrachat
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+ tags:
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+ - llama-2
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+ - code
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  license: llama2
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+ model-index:
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+ - name: SpeechlessCoder
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ type: openai_humaneval
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+ name: HumanEval
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+ metrics:
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+ - name: pass@1
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+ type: pass@1
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+ value: 34.146
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+ verified: false
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  ---
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+
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+ <p><h1> speechless-mistral-six-in-one-7b </h1></p>
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+
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+ # JUST for TEST!
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+
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+ This model is a merge of 6 SOTA Mistral-7B based models:
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+ - ehartford/dolphin-2.1-mistral-7b
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+ - Open-Orca/Mistral-7B-OpenOrca
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+ - bhenrym14/mistral-7b-platypus-fp16
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+ - ehartford/samantha-1.2-mistral-7b
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+ - iteknium/CollectiveCognition-v1.1-Mistral-7B
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+ - CollectiveCognition/chats-data-2023-09-27
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+ - HuggingFaceH4/zephyr-7b-alpha
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+
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+
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+ ## HumanEval
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+
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+ | Metric | Value |
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+ | --- | --- |
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+ | humaneval-python | |
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+
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+ [Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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+
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+ CodeLlama-34B-Python: 53.29
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+
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+ CodeLlama-34B-Instruct: 50.79
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+
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+ CodeLlama-13B-Instruct: 50.6
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+
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+ CodeLlama-34B: 45.11
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+
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+ CodeLlama-13B-Python: 42.89
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+
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+ CodeLlama-13B: 35.07
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+
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+ Mistral-7B-v0.1: 30.488
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+
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+ ## LM-Evaluation-Harness
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+
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+ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+
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+ | Metric | Value |
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+ | --- | --- |
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+ | ARC | |
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+ | HellaSwag | |
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+ | MMLU | |
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+ | TruthfulQA | |
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+ | Average | |
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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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+ "rms_norm_eps": 1e-05,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.34.0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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