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RichardErkhov/BeaverAI_-_mistral-doryV2-12b-gguf
BeaverAI_-_mistral-doryV2-12b-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.
Downloads · 30 days
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.gguf146 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
mistral-doryV2-12b - GGUF
| Name | Quant method | Size |
|---|---|---|
| mistral-doryV2-12b.Q2_K.gguf | Q2_K | 4.46GB |
| mistral-doryV2-12b.IQ3_XS.gguf | IQ3_XS | 4.94GB |
| mistral-doryV2-12b.IQ3_S.gguf | IQ3_S | 5.18GB |
| mistral-doryV2-12b.Q3_K_S.gguf | Q3_K_S | 5.15GB |
| mistral-doryV2-12b.IQ3_M.gguf | IQ3_M | 5.33GB |
| mistral-doryV2-12b.Q3_K.gguf | Q3_K | 5.67GB |
| mistral-doryV2-12b.Q3_K_M.gguf | Q3_K_M | 5.67GB |
| mistral-doryV2-12b.Q3_K_L.gguf | Q3_K_L | 6.11GB |
| mistral-doryV2-12b.IQ4_XS.gguf | IQ4_XS | 6.33GB |
| mistral-doryV2-12b.Q4_0.gguf | Q4_0 | 6.59GB |
| mistral-doryV2-12b.IQ4_NL.gguf | IQ4_NL | 6.65GB |
| mistral-doryV2-12b.Q4_K_S.gguf | Q4_K_S | 6.63GB |
| mistral-doryV2-12b.Q4_K.gguf | Q4_K | 6.96GB |
| mistral-doryV2-12b.Q4_K_M.gguf | Q4_K_M | 6.96GB |
| mistral-doryV2-12b.Q4_1.gguf | Q4_1 | 7.26GB |
| mistral-doryV2-12b.Q5_0.gguf | Q5_0 | 5.2GB |
| mistral-doryV2-12b.Q5_K_S.gguf | Q5_K_S | 4.72GB |
| mistral-doryV2-12b.Q5_K.gguf | Q5_K | 4.04GB |
| mistral-doryV2-12b.Q5_K_M.gguf | Q5_K_M | 5.43GB |
| mistral-doryV2-12b.Q5_1.gguf | Q5_1 | 5.45GB |
| mistral-doryV2-12b.Q6_K.gguf | Q6_K | 9.37GB |
| mistral-doryV2-12b.Q8_0.gguf | Q8_0 | 12.13GB |
base_model: mistralai/Mistral-Nemo-Base-2407 license: apache-2.0 datasets:
(redone) redone instruct finetune of mistral nemo 12b's base. not (E)RP-focused, leave that to drummer.

thanks to twisted again for the compute :3
alpaca-like:
### System:
[Optional system prompt]
### Instruction:
[Query]
### Response:
[Response]</s>
### Instruction:
[...]
Rank 64 QDoRA, trained on the following data mix: