初始化项目，由ModelHub XC社区提供模型

Model: uukuguy/speechless-zephyr-code-functionary-7b
Source: Original Platform

README.md

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+---
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+<p><h1> speechless-zephyr-code-functionary-7b </h1></p>
+
+[4,5,8-bit GGUF models for CPU+GPU inference](https://huggingface.co/uukuguy/speechless-zephyr-code-functionary-7b/tree/main/GGUF)
+
+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 |
+