| language: | |
| - en | |
| library_name: transformers | |
| pipeline_tag: text-generation | |
| datasets: | |
| - yahma/alpaca-cleaned | |
| license: apache-2.0 | |
| <p><h1> speechless-mistral-moloras-7b </h1></p> | |
| This model is the static version of moloras (Mixture-of-multi-LoRAs) based on the following 6 Mistral-based LoRa modules. | |
| - Intel/neural-chat-7b-v3-1 | |
| - migtissera/SynthIA-7B-v1.3 | |
| - jondurbin/airoboros-m-7b-3.1.2 | |
| - bhenrym14/mistral-7b-platypus-fp16 | |
| - teknium/CollectiveCognition-v1.1-Mistral-7B | |
| - uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b | |
| Totally 6 LoRA modules from [speechless-mistral-7b-dare-0.85](https://huggingface.co/speechlessai/speechless-mistral-7b-dare-0.85) | |
| 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?tab=readme-ov-file#mixture-of-multi-loras | |
| ## LM-Evaluation-Harness | |
| [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) | |
| | Metric | Value | | |
| | --- | --- | | |
| | ARC | 59.98 | | |
| | HellaSwag | 83.29 | | |
| | MMLU | 64.12 | | |
| | TruthfulQA | 42.15 | | |
| | Winogrande | 78.37 | | |
| | GSM8K | 37.68 | | |
| | Average | 60.93 | | |