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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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license: apache-2.0 |
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--- |
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<p><h1> speechless-zephyr-code-functionary-7b </h1></p> |
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[4,5,8-bit GGUF models for CPU+GPU inference](https://huggingface.co/uukuguy/speechless-zephyr-code-functionary-7b/tree/main/GGUF) |
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This model is the one of the moloras (Mixture-of-Multi-LoRAs) experiments. |
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Extract LoRA modules from below models (all based Mistral-7B-v0.1), each LoRA module has its own unique skills. By using multi-loras, they can be combined together statically or dynamically to form a versatile new model. |
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- HuggingFaceH4/zephyr-7b-beta (Uncensored Model) |
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- meetkai/functionary-small-v2.2 (Execute functions/plugins) |
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- uukuguy/speechless-code-mistral-7b-v1.0 (Enhance Coding) |
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The entire process is completed through the use of extract-lora, merge-lora, and lora-hub provided by multi-loras. |
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The router of mixture-of-multi-loras enables an automatic assembling of LoRA modules, using a gradientfree approach to obtain the coefficients of LoRA modules and requiring only a handful of inference steps for unseen tasks. |
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Code: https://github.com/uukuguy/multi_loras |
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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 | 61.52 | |
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| HellaSwag | 83.88 | |
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| MMLU | 64.71 | |
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| TruthfulQA | 44.99 | |
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| Winogrande | 78.69 | |
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| GSM8K | 43.82 | |
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| Average | 62.93 | |
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