---
license: apache-2.0
model-index:
- name: ToolLLaMA-7b-LoRA
  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: 52.99
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ToolBench/ToolLLaMA-7b-LoRA
      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: 78.62
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ToolBench/ToolLLaMA-7b-LoRA
      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: 46.87
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ToolBench/ToolLLaMA-7b-LoRA
      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: 38.67
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ToolBench/ToolLLaMA-7b-LoRA
      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: 74.35
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ToolBench/ToolLLaMA-7b-LoRA
      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: 6.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ToolBench/ToolLLaMA-7b-LoRA
      name: Open LLM Leaderboard
---
# Model Card for Model ID

This is a lora version ToolLLaMA model introduced in [ToolBench](https://github.com/OpenBMB/ToolBench).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

- **License:** apache-2.0
- **Finetuned from model [optional]:** LLaMA-7b


## Uses

Refer to [ToolBench](https://github.com/OpenBMB/ToolBench).


## Training Details

Trained with the new version data in ToolBench.
# [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_ToolBench__ToolLLaMA-7b-LoRA)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |49.72|
|AI2 Reasoning Challenge (25-Shot)|52.99|
|HellaSwag (10-Shot)              |78.62|
|MMLU (5-Shot)                    |46.87|
|TruthfulQA (0-shot)              |38.67|
|Winogrande (5-shot)              |74.35|
|GSM8k (5-shot)                   | 6.82|