---
license: llama2
model-index:
- name: speechless-tools-7b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 38.91
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-tools-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 57.69
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-tools-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 33.24
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-tools-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 44.08
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-tools-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 58.56
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-tools-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 7.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-tools-7b
      name: Open LLM Leaderboard
---
The speechless-tools-7b model is fine-tuned on [speechless-coding-7b-16k-tora](https://huggingface.co/uukuguy/speechless-coding-7b-16k-tora), following the guidance of the [ToolLlama](https://github.com/OpenBMB/ToolBench) project, aims to empower open-source LLMs with the ability to handle thousands of diverse real-world APIs.

## Local Test

speechless-tools-7b-dfs vs chatgpt-cot

| Dataset | Win Rate |
| ------  | ------   |
| G1_instruction | 0.465 |
| G1_category | 0.495 |
| G1_tool | 0.505 |
| G2_instruction | 0.61 |
| G2_category | 0.585 |
| G3_instruction | 0.66 |


speechless-tools-7b-dfs vs toolllama-dfs

| Dataset | Win Rate |
| ------  | ------   |
| G1_instruction | 0.45 |
| G1_category | 0.45 |
| G1_tool | 0.51 |
| G2_instruction | 0.53 |
| G2_category | 0.575 |
| G3_instruction | 0.46 |



# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-tools-7b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |40.00|
|AI2 Reasoning Challenge (25-Shot)|38.91|
|HellaSwag (10-Shot)              |57.69|
|MMLU (5-Shot)                    |33.24|
|TruthfulQA (0-shot)              |44.08|
|Winogrande (5-shot)              |58.56|
|GSM8k (5-shot)                   | 7.51|