metadata
license: apache-2.0
datasets:
- totally-not-an-llm/everything-sharegptformat-morecleaned
language:
- en
pipeline_tag: text-generation
This is OpenLLaMA 3B V2 finetuned on EverythingLM Data(ShareGPT format more cleaned) for 1 epochs.
Prompt template:
### HUMAN:
{prompt}
### RESPONSE:
<leave a newline for the model to answer>
GGML quants available here.
GPTQ quants available here.
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
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 41.71 |
ARC (25-shot) | 43.17 |
HellaSwag (10-shot) | 72.68 |
MMLU (5-shot) | 28.46 |
TruthfulQA (0-shot) | 39.09 |
Winogrande (5-shot) | 65.59 |
GSM8K (5-shot) | 1.29 |