Instructions to use brittlewis12/Devstral-Small-2507-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use brittlewis12/Devstral-Small-2507-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="brittlewis12/Devstral-Small-2507-GGUF",
	filename="devstral-small-2507.IQ1_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use brittlewis12/Devstral-Small-2507-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf brittlewis12/Devstral-Small-2507-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 brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf brittlewis12/Devstral-Small-2507-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 brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M

Use Docker

docker model run hf.co/brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use brittlewis12/Devstral-Small-2507-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "brittlewis12/Devstral-Small-2507-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "brittlewis12/Devstral-Small-2507-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M

Ollama
How to use brittlewis12/Devstral-Small-2507-GGUF with Ollama:
```
ollama run hf.co/brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M
```

Unsloth Studio

How to use brittlewis12/Devstral-Small-2507-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for brittlewis12/Devstral-Small-2507-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for brittlewis12/Devstral-Small-2507-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for brittlewis12/Devstral-Small-2507-GGUF to start chatting

Docker Model Runner
How to use brittlewis12/Devstral-Small-2507-GGUF with Docker Model Runner:
```
docker model run hf.co/brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M
```

Lemonade

How to use brittlewis12/Devstral-Small-2507-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull brittlewis12/Devstral-Small-2507-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Devstral-Small-2507-GGUF-Q4_K_M

List all available models

lemonade list

Devstral Small 1.1 GGUF

Original model: Devstral Small 1.1
Model creator: Mistral AI

Devstral is an agentic LLM for software engineering tasks built under a collaboration between Mistral AI and All Hands AI 🙌. Devstral excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench which positionates it as the #1 open source model on this benchmark.

It is finetuned from Mistral-Small-3.1, therefore it has a long context window of up to 128k tokens. As a coding agent, Devstral is text-only and before fine-tuning from Mistral-Small-3.1 the vision encoder was removed.

This repo contains GGUF format model files for Mistral AI's Devstral Small 1.1 (2507). Read more on Mistral’s announcement blog post.

What is GGUF?

GGUF is a file format for representing AI models. It is the third version of the format, introduced by the ggml-org team on August 21st 2023.

Converted with llama.cpp build b5864 (revision 11ee0fe), using autogguf-rs.

Chat template: Mistral 3 (v7-Tekken)

<s>[SYSTEM_PROMPT]{{system_message}}[/SYSTEM_PROMPT]

[INST]{{prompt}}[/INST]
{{assistant_response}}</s>

Download & run with cnvrs on iPhone, iPad, and Mac!

cnvrs is the best app for private, local AI on your device:

create & save Characters with custom system prompts & temperature settings
download and experiment with any GGUF model you can find on HuggingFace!
- or, use an API key with the chat completions-compatible model provider of your choice -- ChatGPT, Claude, Gemini, DeepSeek, & more!
make it your own with custom Theme colors
powered by Metal ⚡️ & Llama.cpp, with haptics during response streaming!
try it out yourself today, on Testflight!
- if you already have the app, download Devstral Small 2507 now!
- cnvrsai:///models/search/hf?id=brittlewis12/devstral-small-2507-GGUF
follow cnvrs on twitter to stay up to date

Original Model Evaluation

Model	Agentic Scaffold	SWE-Bench Verified (%)
Devstral Small 1.1	OpenHands Scaffold	53.6
Devstral Small 1.0	OpenHands Scaffold	46.8
GPT-4.1-mini	OpenAI Scaffold	23.6
Claude 3.5 Haiku	Anthropic Scaffold	40.6
SWE-smith-LM 32B	SWE-agent Scaffold	40.2
Skywork SWE	OpenHands Scaffold	38.0
DeepSWE	R2E-Gym Scaffold	42.2

Downloads last month: 176

GGUF

Model size

24B params

Architecture

llama

Hardware compatibility

1-bit

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Model tree for brittlewis12/Devstral-Small-2507-GGUF

Base model

mistralai/Mistral-Small-3.1-24B-Base-2503

Finetuned

mistralai/Mistral-Small-3.1-24B-Instruct-2503

Finetuned

mistralai/Devstral-Small-2507

Quantized

(27)

this model