41 lines
1.4 KiB
Markdown
41 lines
1.4 KiB
Markdown
---
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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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