README.md

---
language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
model-index:
- name: speechless-zephyr-code-functionary-7b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 26.96
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 25.98
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 3.63
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 6.71
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 11.61
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 23.27
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
      name: Open LLM Leaderboard
---

<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 |


# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-zephyr-code-functionary-7b)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |16.36|
|IFEval (0-Shot)    |26.96|
|BBH (3-Shot)       |25.98|
|MATH Lvl 5 (4-Shot)| 3.63|
|GPQA (0-shot)      | 6.71|
|MuSR (0-shot)      |11.61|
|MMLU-PRO (5-shot)  |23.27|