初始化项目，由ModelHub XC社区提供模型

Model: uukuguy/speechless-mistral-moloras-7b
Source: Original Platform

README.md

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+---
+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>
+
+* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-mistral-moloras-7B-AWQ)
+* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-mistral-moloras-7B-GPTQ)
+* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/speechless-mistral-moloras-7B-GGUF)
+
+[4-bit GGUF models for CPU+GPU inference](https://huggingface.co/uukuguy/speechless-mistral-moloras-7b/tree/main/GGUF)
+
+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 |
+