language, license, library_name, datasets, pipeline_tag, model-index

language	license	library_name	datasets	pipeline_tag	model-index
en	apache-2.0	transformers	totally-not-an-llm/sharegpt-hyperfiltered-3k	text-generation	name results Puma-3B task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 41.3 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 71.85 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 27.51 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 38.34 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 66.38 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 0.76 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B Open LLM Leaderboard

This is OpenLLaMA 3B V2 finetuned on ShareGPT Hyperfiltered 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.	41.02
ARC (25-shot)	41.3
HellaSwag (10-shot)	71.85
MMLU (5-shot)	27.51
TruthfulQA (0-shot)	38.34
Winogrande (5-shot)	66.38
GSM8K (5-shot)	0.76

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	41.02
AI2 Reasoning Challenge (25-Shot)	41.30
HellaSwag (10-Shot)	71.85
MMLU (5-Shot)	27.51
TruthfulQA (0-shot)	38.34
Winogrande (5-shot)	66.38
GSM8k (5-shot)	0.76