DevstralMistral AI
|
||||||
| Devstral | vLLM | |||||
|---|---|---|---|---|---|---|
Related Products
|
||||||
Devstral:
About
Devstral is an open source, agentic large language model (LLM) developed by Mistral AI in collaboration with All Hands AI, specifically designed for software engineering tasks. It excels at navigating complex codebases, editing multiple files, and resolving real-world issues, outperforming all open source models on the SWE-Bench Verified benchmark with a score of 46.8%. Devstral is fine-tuned from Mistral-Small-3.1 and features a long context window of up to 128,000 tokens. It is optimized for local deployment on high-end hardware, such as a Mac with 32GB RAM or an Nvidia RTX 4090 GPU, and is compatible with inference frameworks like vLLM, Transformers, and Ollama. Released under the Apache 2.0 license, Devstral is available for free and can be accessed via Hugging Face, Ollama, Kaggle, Unsloth, and LM Studio.
|
vLLM:
About
vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.
|
|||||
Devstral:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
|
vLLM:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Devstral:
Audience
Software developers and engineering teams seeking a tool to assist with code exploration, debugging, and multi-file editing tasks
|
vLLM:
Audience
AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments
|
|||||
Devstral:
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
vLLM:
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
Devstral:
API
Offers API
Supported
|
vLLM:
API
Offers API
Supported
|
|||||
Devstral:
Screenshots and Videos |
vLLM:
Screenshots and Videos |
|||||
Devstral:
Pricing
$0.1 per million input tokens
Free Version
Supported
Free Trial
Not Supported
|
vLLM:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Devstral:
Reviews/
|
vLLM:
Reviews/
|
|||||
Devstral:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
|
vLLM:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Devstral:
Company InformationMistral AI
Founded: 2023
France
mistral.ai/news/devstral
|
vLLM:
Company InformationvLLM
United States
vllm.ai
|
|||||
Devstral:
Alternatives |
vLLM:
Alternatives |
|||||
|
Devstral:
|
vLLM: | |||||
|
Devstral:
|
vLLM: | |||||
|
Devstral:
|
vLLM: | |||||
|
Devstral:
|
vLLM:
|
|||||
Devstral:
Categories |
vLLM:
Categories |
|||||
Devstral:
Integrations
Hugging Face
Supported
Compute with Hivenet
Not Supported
Docker
Not Supported
KServe
Not Supported
Kaggle
Supported
Kubernetes
Not Supported
Mistral AI
Supported
Mistral Code
Supported
ModelLane
Not Supported
Muse Spark Open
Not Supported
|
vLLM:
Integrations
Hugging Face
Supported
Compute with Hivenet
Supported
Docker
Supported
KServe
Supported
Kaggle
Not Supported
Kubernetes
Supported
Mistral AI
Not Supported
Mistral Code
Not Supported
ModelLane
Supported
Muse Spark Open
Supported
|
|||||
|
Devstral:
|
vLLM:
|