Instructions to use bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

Ollama
How to use bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF with Ollama:
```
ollama run hf.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

bartowski commited on Mar 18, 2025

Commit

6f1e022

verified ·

1 Parent(s): 050cde1

Update README.md

Browse files

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README.md +0 -14

README.md CHANGED Viewed

@@ -59,33 +59,19 @@ Run them directly with [llama.cpp](https://github.com/ggerganov/llama.cpp), or a
 | -------- | ---------- | --------- | ----- | ----------- |
 | [Mistral-Small-3.1-24B-Instruct-2503-bf16.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-bf16.gguf) | bf16 | 47.15GB | false | Full BF16 weights. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf) | Q8_0 | 25.05GB | false | Extremely high quality, generally unneeded but max available quant. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf) | Q8_0 | 25.05GB | false | Extremely high quality, generally unneeded but max available quant. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q6_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q6_K_L.gguf) | Q6_K_L | 19.67GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q6_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q6_K_L.gguf) | Q6_K_L | 19.67GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf) | Q6_K | 19.35GB | false | Very high quality, near perfect, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf) | Q6_K | 19.35GB | false | Very high quality, near perfect, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_L.gguf) | Q5_K_L | 17.18GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_L.gguf) | Q5_K_L | 17.18GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf) | Q5_K_M | 16.76GB | false | High quality, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf) | Q5_K_M | 16.76GB | false | High quality, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf) | Q5_K_S | 16.30GB | false | High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf) | Q5_K_S | 16.30GB | false | High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_1.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_1.gguf) | Q4_1 | 14.87GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q4_1.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_1.gguf) | Q4_1 | 14.87GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_L.gguf) | Q4_K_L | 14.83GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_L.gguf) | Q4_K_L | 14.83GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf) | Q4_K_M | 14.33GB | false | Good quality, default size for most use cases, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf) | Q4_K_M | 14.33GB | false | Good quality, default size for most use cases, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf) | Q4_K_S | 13.55GB | false | Slightly lower quality with more space savings, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf) | Q4_K_S | 13.55GB | false | Slightly lower quality with more space savings, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf) | Q4_0 | 13.49GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf) | Q4_0 | 13.49GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
 | [Mistral-Small-3.1-24B-Instruct-2503-IQ4_NL.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ4_NL.gguf) | IQ4_NL | 13.47GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
-| [Mistral-Small-3.1-24B-Instruct-2503-IQ4_NL.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ4_NL.gguf) | IQ4_NL | 13.47GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
-| [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_XL.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_XL.gguf) | Q3_K_XL | 12.99GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_XL.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_XL.gguf) | Q3_K_XL | 12.99GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
 | [Mistral-Small-3.1-24B-Instruct-2503-IQ4_XS.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ4_XS.gguf) | IQ4_XS | 12.76GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
-| [Mistral-Small-3.1-24B-Instruct-2503-IQ4_XS.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ4_XS.gguf) | IQ4_XS | 12.76GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_L.gguf) | Q3_K_L | 12.40GB | false | Lower quality but usable, good for low RAM availability. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_M.gguf) | Q3_K_M | 11.47GB | false | Low quality. |
 | [Mistral-Small-3.1-24B-Instruct-2503-IQ3_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ3_M.gguf) | IQ3_M | 10.65GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |

 | -------- | ---------- | --------- | ----- | ----------- |
 | [Mistral-Small-3.1-24B-Instruct-2503-bf16.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-bf16.gguf) | bf16 | 47.15GB | false | Full BF16 weights. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf) | Q8_0 | 25.05GB | false | Extremely high quality, generally unneeded but max available quant. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q6_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q6_K_L.gguf) | Q6_K_L | 19.67GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf) | Q6_K | 19.35GB | false | Very high quality, near perfect, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_L.gguf) | Q5_K_L | 17.18GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf) | Q5_K_M | 16.76GB | false | High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf) | Q5_K_S | 16.30GB | false | High quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_1.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_1.gguf) | Q4_1 | 14.87GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_L.gguf) | Q4_K_L | 14.83GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf) | Q4_K_M | 14.33GB | false | Good quality, default size for most use cases, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf) | Q4_K_S | 13.55GB | false | Slightly lower quality with more space savings, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf) | Q4_0 | 13.49GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
 | [Mistral-Small-3.1-24B-Instruct-2503-IQ4_NL.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ4_NL.gguf) | IQ4_NL | 13.47GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_XL.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_XL.gguf) | Q3_K_XL | 12.99GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
 | [Mistral-Small-3.1-24B-Instruct-2503-IQ4_XS.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ4_XS.gguf) | IQ4_XS | 12.76GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_L.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_L.gguf) | Q3_K_L | 12.40GB | false | Lower quality but usable, good for low RAM availability. |
 | [Mistral-Small-3.1-24B-Instruct-2503-Q3_K_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-Q3_K_M.gguf) | Q3_K_M | 11.47GB | false | Low quality. |
 | [Mistral-Small-3.1-24B-Instruct-2503-IQ3_M.gguf](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF/blob/main/mistralai_Mistral-Small-3.1-24B-Instruct-2503-IQ3_M.gguf) | IQ3_M | 10.65GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |