| language: | |
| - en | |
| library_name: transformers | |
| pipeline_tag: text-generation | |
| license: apache-2.0 | |
| <p><h1> speechless-zephyr-code-functionary-7b </h1></p> | |
| This model is the one of the moloras (Mixture-of-Multi-LoRAs) experiments. | |
| 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. | |
| - HuggingFaceH4/zephyr-7b-beta (Uncensored Model) | |
| - meetkai/functionary-small-v2.2 (Execute functions/plugins) | |
| - uukuguy/speechless-code-mistral-7b-v1.0 (Enhance Coding) | |
| The entire process is completed through the use of extract-lora, merge-lora, and lora-hub provided by multi-loras. | |
| 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. | |
| Code: https://github.com/uukuguy/multi_loras | |
| ## LM-Evaluation-Harness | |
| [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) | |
| | Metric | Value | | |
| | --- | --- | | |
| | ARC | 61.52 | | |
| | HellaSwag | 83.88 | | |
| | MMLU | 64.71 | | |
| | TruthfulQA | 44.99 | | |
| | Winogrande | 78.69 | | |
| | GSM8K | 43.82 | | |
| | Average | 62.93 | | |