metadata

base_model: mistralai/Mistral-Large-Instruct-2407
extra_gated_description: >-
  If you want to learn more about how we process your personal data, please read
  our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
inference: false
language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - zh
  - ja
  - ru
  - ko
library_name: gguf
license: other
license_link: https://mistral.ai/licenses/MRL-0.1.md
license_name: mrl
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - quantization
  - imat
  - imatrix
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit
  - 1bit

Mistral-Large-Instruct-2407-IMat-GGUF

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

Files
Downloading using huggingface-cli
Inference
- Llama.cpp
FAQ
- Why is the IMatrix not applied everywhere?
- How do I merge a split GGUF?

Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

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

All Quants

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	IQ2_M	-	⏳ Processing	🟢 IMatrix	-
Mistral-Large-Instruct-2407.IQ2_S	IQ2_S	-	⏳ Processing	🟢 IMatrix	-
Mistral-Large-Instruct-2407.IQ2_XS	IQ2_XS	-	⏳ Processing	🟢 IMatrix	-
Mistral-Large-Instruct-2407.IQ2_XXS	IQ2_XXS	-	⏳ Processing	🟢 IMatrix	-
Mistral-Large-Instruct-2407.IQ1_M	IQ1_M	-	⏳ Processing	🟢 IMatrix	-
Mistral-Large-Instruct-2407.IQ1_S	IQ1_S	-	⏳ Processing	🟢 IMatrix	-

Downloading using huggingface-cli

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

Inference

Llama.cpp

llama.cpp/main -m Mistral-Large-Instruct-2407.Q8_0.gguf --color -i -p "prompt here"

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

How do I merge a split GGUF?

Make sure you have gguf-split available
- To get hold of gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases
- Download the appropriate zip for your system from the latest release
- Unzip the archive and you should be able to find gguf-split
Locate your GGUF chunks folder (ex: Mistral-Large-Instruct-2407.Q8_0)
Run 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
- Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!