---
language:
- en
license: apache-2.0
library_name: transformers
datasets:
- LDJnr/Puffin
pipeline_tag: text-generation
model-index:
- name: Griffin-3B
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: 41.81
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B
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: 72.3
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B
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: 26.36
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B
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: 38.33
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B
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: 67.01
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B
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: 0.99
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Griffin-3B
name: Open LLM Leaderboard
---
This is [OpenLLaMA 3B V2](https://huggingface.co/openlm-research/open_llama_3b_v2) finetuned on [Puffin](https://huggingface.co/datasets/LDJnr/Puffin) for 1 epochs.
Prompt template:
```
### HUMAN:
{prompt}
### RESPONSE:
```
GGML quants available [here](https://huggingface.co/TheBloke/Griffin-3B-GGML).
GPTQ quants available [here](https://huggingface.co/TheBloke/Griffin-3B-GPTQ).
Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
# [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_acrastt__Griffin-3B)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 41.13 |
| ARC (25-shot) | 41.81 |
| HellaSwag (10-shot) | 72.3 |
| MMLU (5-shot) | 26.36 |
| TruthfulQA (0-shot) | 38.33 |
| Winogrande (5-shot) | 67.01 |
| GSM8K (5-shot) | 0.99 |
# [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_acrastt__Griffin-3B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |41.13|
|AI2 Reasoning Challenge (25-Shot)|41.81|
|HellaSwag (10-Shot) |72.30|
|MMLU (5-Shot) |26.36|
|TruthfulQA (0-shot) |38.33|
|Winogrande (5-shot) |67.01|
|GSM8k (5-shot) | 0.99|