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RichardErkhov/Q-bert_-_Optimus-7B-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face

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Quantization made by Richard Erkhov.

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Optimus-7B - GGUF

—Model creator: https://huggingface.co/Q-bert/
—Original model: https://huggingface.co/Q-bert/Optimus-7B/

Name	Quant method	Size
Optimus-7B.Q2_K.gguf	Q2_K	2.53GB
Optimus-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Optimus-7B.IQ3_S.gguf	IQ3_S	2.96GB
Optimus-7B.Q3_K_S.gguf	Q3KS	2.95GB
Optimus-7B.IQ3_M.gguf	IQ3_M	3.06GB
Optimus-7B.Q3_K.gguf	Q3_K	3.28GB
Optimus-7B.Q3_K_M.gguf	Q3KM	3.28GB
Optimus-7B.Q3_K_L.gguf	Q3KL	3.56GB
Optimus-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Optimus-7B.Q4_0.gguf	Q4_0	3.83GB
Optimus-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Optimus-7B.Q4_K_S.gguf	Q4KS	3.86GB
Optimus-7B.Q4_K.gguf	Q4_K	4.07GB
Optimus-7B.Q4_K_M.gguf	Q4KM	4.07GB
Optimus-7B.Q4_1.gguf	Q4_1	4.24GB
Optimus-7B.Q5_0.gguf	Q5_0	4.65GB
Optimus-7B.Q5_K_S.gguf	Q5KS	4.65GB
Optimus-7B.Q5_K.gguf	Q5_K	4.78GB
Optimus-7B.Q5_K_M.gguf	Q5KM	4.78GB
Optimus-7B.Q5_1.gguf	Q5_1	5.07GB
Optimus-7B.Q6_K.gguf	Q6_K	5.53GB
Optimus-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description: --- license: apache-2.0 datasets:

—meta-math/MetaMathQA language:
—en pipeline_tag: text-generation tags:
—Math ---

Optimus-7B

<img src="_c3f4a76b-c0b1-4fba-9537-33f8fd697f2d.jpg" width="300" height="200" alt="Optimus-7B">

Fine-tuned On mistralai/Mistral-7B-v0.1 with meta-math/MetaMathQA

You can use ChatML format.

Open LLM Leaderboard Evaluation Results

Detailed results can be found Here

Metric	Value
Avg.	69.09
ARC (25-shot)	65.44
HellaSwag (10-shot)	85.41
MMLU (5-shot)	63.61
TruthfulQA (0-shot)	55.79
Winogrande (5-shot)	78.77
GSM8K (5-shot)	65.50