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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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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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<p><h1> speechless-mistral-dolphin-orca-platypus-samantha-7b </h1></p> |
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* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-mistral-dolphin-orca-platypus-samantha-7B-AWQ) |
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* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-mistral-dolphin-orca-platypus-samantha-7B-GPTQ) |
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* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/speechless-mistral-dolphin-orca-platypus-samantha-7B-GGUF) |
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This model is a merge of ehartford/dolphin-2.1-mistral-7b, Open-Orca/Mistral-7B-OpenOrca, bhenrym14/mistral-7b-platypus-fp16 and ehartford/samantha-1.2-mistral-7b. |
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I'm very sorry for giving such a long and peculiar name. Originally, it was just my lazy behavior during the process of making models to easily distinguish various model and dataset combinations. I didn't expect the [previous model](https://huggingface.co/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b) ([Thebloke GPTQ Version](https://huggingface.co/TheBloke/Speechless-Llama2-Hermes-Orca-Platypus-WizardLM-13B-GPTQ)) to be so popular. This time, based on some guys's request, I am releasing a model based on Mistral, and I have also inherited the style of the super long name along with it. Welcome to try the model, please refrain from harsh criticism if you don't like it. |
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Code: https://github.com/uukuguy/speechless |
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## HumanEval |
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| Metric | Value | |
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| --- | --- | |
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| humaneval-python | 34.146| |
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[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard) |
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CodeLlama-34B-Python: 53.29 |
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CodeLlama-34B-Instruct: 50.79 |
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CodeLlama-13B-Instruct: 50.6 |
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CodeLlama-34B: 45.11 |
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CodeLlama-13B-Python: 42.89 |
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CodeLlama-13B: 35.07 |
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Mistral-7B-v0.1: 30.488 |
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## LM-Evaluation-Harness |
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[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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| Metric | Value | |
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| --- | --- | |
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| ARC | 64.33 | |
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| HellaSwag | 84.4| |
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| MMLU | 63.72 | |
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| TruthfulQA | 52.52| |
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| Winogrande | 78.37 | |
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| GSM8K | 21.38 | |
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| DROP | 8.66 | |
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| Average | 53.34 | |
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# Model Card for Mistral-7B-v0.1 |
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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 our [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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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-mistral-dolphin-orca-platypus-samantha-7b) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 53.34 | |
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| ARC (25-shot) | 64.33 | |
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| HellaSwag (10-shot) | 84.4 | |
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| MMLU (5-shot) | 63.72 | |
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| TruthfulQA (0-shot) | 52.52 | |
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| Winogrande (5-shot) | 78.37 | |
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| GSM8K (5-shot) | 21.38 | |
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| DROP (3-shot) | 8.66 | |
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