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Q-bert_-_MetaMath-Cybertron-gguf
RichardErkhov/Q-bert_-_MetaMath-Cybertron-gguf
Q-bert_-_MetaMath-Cybertron-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Aug 28, 2024
- Updated
- Aug 28, 2024
- SHA
- c56e8900
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
MetaMath-Cybertron - GGUF
- Model creator: https://huggingface.co/Q-bert/
- Original model: https://huggingface.co/Q-bert/MetaMath-Cybertron/
| Name | Quant method | Size |
|---|---|---|
| MetaMath-Cybertron.Q2_K.gguf | Q2_K | 2.53GB |
| MetaMath-Cybertron.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| MetaMath-Cybertron.IQ3_S.gguf | IQ3_S | 2.96GB |
| MetaMath-Cybertron.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| MetaMath-Cybertron.IQ3_M.gguf | IQ3_M | 3.06GB |
| MetaMath-Cybertron.Q3_K.gguf | Q3_K | 3.28GB |
| MetaMath-Cybertron.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| MetaMath-Cybertron.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| MetaMath-Cybertron.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| MetaMath-Cybertron.Q4_0.gguf | Q4_0 | 3.83GB |
| MetaMath-Cybertron.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| MetaMath-Cybertron.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| MetaMath-Cybertron.Q4_K.gguf | Q4_K | 4.07GB |
| MetaMath-Cybertron.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| MetaMath-Cybertron.Q4_1.gguf | Q4_1 | 4.24GB |
| MetaMath-Cybertron.Q5_0.gguf | Q5_0 | 4.65GB |
| MetaMath-Cybertron.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| MetaMath-Cybertron.Q5_K.gguf | Q5_K | 4.78GB |
| MetaMath-Cybertron.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| MetaMath-Cybertron.Q5_1.gguf | Q5_1 | 5.07GB |
| MetaMath-Cybertron.Q6_K.gguf | Q6_K | 5.53GB |
| MetaMath-Cybertron.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 base_model:
- fblgit/una-cybertron-7b-v2-bf16
- meta-math/MetaMath-Mistral-7B
MetaMath-Cybertron
Merge fblgit/una-cybertron-7b-v2-bf16 and meta-math/MetaMath-Mistral-7B using slerp merge.
You can use ChatML format.
Open LLM Leaderboard Evaluation Results
Detailed results can be found Coming soon
| Metric | Value |
|---|---|
| Avg. | Coming soon |
| ARC (25-shot) | Coming soon |
| HellaSwag (10-shot) | Coming soon |
| MMLU (5-shot) | Coming soon |
| TruthfulQA (0-shot) | Coming soon |
| Winogrande (5-shot) | Coming soon |
| GSM8K (5-shot) | Coming soon |
- Created
- Aug 28, 2024
- Updated
- Aug 28, 2024