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---
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|
|