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Quantization made by Richard Erkhov.
Hippolyta-7B-bf16 - GGUF
- Model creator: https://huggingface.co/Kquant03/
- Original model: https://huggingface.co/Kquant03/Hippolyta-7B-bf16/
Name | Quant method | Size |
---|---|---|
Hippolyta-7B-bf16.Q2_K.gguf | Q2_K | 2.53GB |
Hippolyta-7B-bf16.IQ3_XS.gguf | IQ3_XS | 2.81GB |
Hippolyta-7B-bf16.IQ3_S.gguf | IQ3_S | 2.96GB |
Hippolyta-7B-bf16.Q3_K_S.gguf | Q3_K_S | 2.95GB |
Hippolyta-7B-bf16.IQ3_M.gguf | IQ3_M | 3.06GB |
Hippolyta-7B-bf16.Q3_K.gguf | Q3_K | 3.28GB |
Hippolyta-7B-bf16.Q3_K_M.gguf | Q3_K_M | 3.28GB |
Hippolyta-7B-bf16.Q3_K_L.gguf | Q3_K_L | 3.56GB |
Hippolyta-7B-bf16.IQ4_XS.gguf | IQ4_XS | 3.67GB |
Hippolyta-7B-bf16.Q4_0.gguf | Q4_0 | 3.83GB |
Hippolyta-7B-bf16.IQ4_NL.gguf | IQ4_NL | 3.87GB |
Hippolyta-7B-bf16.Q4_K_S.gguf | Q4_K_S | 3.86GB |
Hippolyta-7B-bf16.Q4_K.gguf | Q4_K | 4.07GB |
Hippolyta-7B-bf16.Q4_K_M.gguf | Q4_K_M | 4.07GB |
Hippolyta-7B-bf16.Q4_1.gguf | Q4_1 | 4.24GB |
Hippolyta-7B-bf16.Q5_0.gguf | Q5_0 | 4.65GB |
Hippolyta-7B-bf16.Q5_K_S.gguf | Q5_K_S | 4.65GB |
Hippolyta-7B-bf16.Q5_K.gguf | Q5_K | 4.78GB |
Hippolyta-7B-bf16.Q5_K_M.gguf | Q5_K_M | 4.78GB |
Hippolyta-7B-bf16.Q5_1.gguf | Q5_1 | 5.07GB |
Hippolyta-7B-bf16.Q6_K.gguf | Q6_K | 5.53GB |
Hippolyta-7B-bf16.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
license: apache-2.0 datasets: - Open-Orca/OpenOrca - teknium/openhermes - cognitivecomputations/dolphin - jondurbin/airoboros-3.1 - unalignment/toxic-dpo-v0.1 - unalignment/spicy-3.1 language: - en
The flower of Ares.
Fine-tuned on mistralai/Mistral-7B-v0.1...my team and I reformatted many different datasets and included a small amount of private stuff to see how much we could improve mistral.
I spoke to it personally for about an hour, and I believe we need to work on our format for the private dataset a bit more, but other than that, it turned out great. I will be uploading it to open llm evaluations, today.
- Uses Mistral prompt template with chat-instruct.
- Downloads last month
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