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legraphista/Mistral-Large-Instruct-2407-IMat-GGUF
Mistral-Large-Instruct-2407-IMat-GGUF is a text generation model from legraphista. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as other.
Llama.cpp imatrix quantization of mistralai/Mistral-Large-Instruct-2407
Downloads · 30 days
920
3% of all-time downloads
All-time downloads
27.7K
Public
Repo size
1.8 TB
Likes
29
Public
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.gguf1.8 TB · 100%
From the Hugging Face model README
Llama.cpp imatrix quantization of mistralai/Mistral-Large-Instruct-2407
Original Model: mistralai/Mistral-Large-Instruct-2407
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3452
IMatrix dataset: here
Status: ✅ Available
Link: here
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| Mistral-Large-Instruct-2407.Q8_0/* | Q8_0 | 130.28GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q6_K/* | Q6_K | 100.59GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q4_K/* | Q4_K | 73.22GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q3_K/* | Q3_K | 59.10GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q2_K/* | Q2_K | 45.20GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| Mistral-Large-Instruct-2407.BF16/* | BF16 | 245.23GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.FP16/* | F16 | 245.23GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q8_0/* | Q8_0 | 130.28GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q6_K/* | Q6_K | 100.59GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q5_K/* | Q5_K | 86.49GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q5_K_S/* | Q5_K_S | 84.36GB | ✅ Available | ⚪ Static | ✂ Yes |
| Mistral-Large-Instruct-2407.Q4_K/* | Q4_K | 73.22GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q4_K_S/* | Q4_K_S | 69.57GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.IQ4_NL/* | IQ4_NL | 69.22GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.IQ4_XS/* | IQ4_XS | 65.43GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q3_K/* | Q3_K | 59.10GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q3_K_L/* | Q3_K_L | 64.55GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q3_K_S/* | Q3_K_S | 52.85GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.IQ3_M/* | IQ3_M | 55.28GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.IQ3_S/* | IQ3_S | 53.00GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.IQ3_XS/* | IQ3_XS | 50.14GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.IQ3_XXS/* | IQ3_XXS | 47.01GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q2_K/* | Q2_K | 45.20GB | ✅ Available | 🟢 IMatrix | ✂ Yes |
| Mistral-Large-Instruct-2407.Q2_K_S.gguf | Q2_K_S | 41.61GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-Large-Instruct-2407.IQ2_M.gguf | IQ2_M | 41.62GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-Large-Instruct-2407.IQ2_S.gguf | IQ2_S | 38.38GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-Large-Instruct-2407.IQ2_XS.gguf | IQ2_XS | 36.08GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-Large-Instruct-2407.IQ2_XXS.gguf | IQ2_XXS | 32.43GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-Large-Instruct-2407.IQ1_M.gguf | IQ1_M | 28.39GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Mistral-Large-Instruct-2407.IQ1_S.gguf | IQ1_S | 25.96GB | ✅ Available | 🟢 IMatrix | 📦 No |
If you do not have hugginface-cli installed:
pip install -U "huggingface_hub[cli]"
Download the specific file you want:
huggingface-cli download legraphista/Mistral-Large-Instruct-2407-IMat-GGUF --include "Mistral-Large-Instruct-2407.Q8_0.gguf" --local-dir ./
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
huggingface-cli download legraphista/Mistral-Large-Instruct-2407-IMat-GGUF --include "Mistral-Large-Instruct-2407.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
llama.cpp/main -m Mistral-Large-Instruct-2407.Q8_0.gguf --color -i -p "prompt here"
According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
gguf-split available
gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releasesgguf-splitMistral-Large-Instruct-2407.Q8_0)gguf-split --merge Mistral-Large-Instruct-2407.Q8_0/Mistral-Large-Instruct-2407.Q8_0-00001-of-XXXXX.gguf Mistral-Large-Instruct-2407.Q8_0.gguf
gguf-split to the first chunk of the split.Got a suggestion? Ping me @legraphista!