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RichardErkhov/
acrastt_-_Puma-3B-gguf

Name: acrastt_-_Puma-3B-gguf
Rating: 2.5 (55 reviews)

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gguf

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Quantization made by Richard Erkhov.

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Puma-3B - GGUF

Model creator: https://huggingface.co/acrastt/
Original model: https://huggingface.co/acrastt/Puma-3B/

Name	Quant method	Size
Puma-3B.Q2_K.gguf	Q2_K	1.84GB
Puma-3B.IQ3_XS.gguf	IQ3_XS	1.84GB
Puma-3B.IQ3_S.gguf	IQ3_S	1.84GB
Puma-3B.Q3_K_S.gguf	Q3_K_S	1.84GB
Puma-3B.IQ3_M.gguf	IQ3_M	1.92GB
Puma-3B.Q3_K.gguf	Q3_K	1.99GB
Puma-3B.Q3_K_M.gguf	Q3_K_M	1.99GB
Puma-3B.Q3_K_L.gguf	Q3_K_L	2.06GB
Puma-3B.IQ4_XS.gguf	IQ4_XS	1.86GB
Puma-3B.Q4_0.gguf	Q4_0	1.84GB
Puma-3B.IQ4_NL.gguf	IQ4_NL	1.86GB
Puma-3B.Q4_K_S.gguf	Q4_K_S	2.24GB
Puma-3B.Q4_K.gguf	Q4_K	2.4GB
Puma-3B.Q4_K_M.gguf	Q4_K_M	2.4GB
Puma-3B.Q4_1.gguf	Q4_1	2.04GB
Puma-3B.Q5_0.gguf	Q5_0	2.23GB
Puma-3B.Q5_K_S.gguf	Q5_K_S	2.42GB
Puma-3B.Q5_K.gguf	Q5_K	2.57GB
Puma-3B.Q5_K_M.gguf	Q5_K_M	2.57GB
Puma-3B.Q5_1.gguf	Q5_1	2.42GB
Puma-3B.Q6_K.gguf	Q6_K	3.39GB
Puma-3B.Q8_0.gguf	Q8_0	3.39GB

Original model description:

language:

en license: apache-2.0 library_name: transformers datasets:
totally-not-an-llm/sharegpt-hyperfiltered-3k pipeline_tag: text-generation model-index:
name: Puma-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: 41.3 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-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: 71.85 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-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: 27.51 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-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: 38.34 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-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: 66.38 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-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: 0.76 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Puma-3B name: 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

RichardErkhov/acrastt_-_Puma-3B-gguf

Original model description:

Open LLM Leaderboard Evaluation Results

Open LLM Leaderboard Evaluation Results

RichardErkhov/
acrastt_-_Puma-3B-gguf