LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
7B instruct v0.2
◆ OPEN
by Mistral
OPEN WEIGHTSHOSTEDAPICLOSED
Mistral 7B Instruct is a compact, 7B parameter model optimized for fast and efficient text and code generation with a 32K token context window.
HAPPY7.3
7 mentions
SAD7.7
6 mentions
VIBE TRAJECTORY
26 weeks · 3 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
GLM 5.3
DeepSeek V4 Flash> SOURCES (4)
- REDDIT · 2024-07-03 · 30 UPVOTES[P] New collection of Llama, Mistral, Phi, Qwen, and Gemma models for function/tool calling
Introducing Rubra v0.1: a Collection of Open-Weight, Tool-Calling LLMs Try it out here in Hugging Face Spaces for free! We also extended vLLM and llama.cpp so you can get started really easily. Check out our
- REDDIT · 2024-07-03 · 30 UPVOTES[P] New collection of Llama, Mistral, Phi, Qwen, and Gemma models for function/tool calling
Introducing Rubra v0.1: a Collection of Open-Weight, Tool-Calling LLMs Try it out here in Hugging Face Spaces for free! We also extended vLLM and llama.cpp so you can get started really easily. Check out our
- REDDIT · 2026-03-12 · 0 UPVOTES[R] If LLMs are just token predictors, why does GPU load vary by content type?
I measured GPU power consumption across 4 local LLMs and 6 semantic categories in real-world conditions. Categories: general utterance / general utterance with reasoning / intentionally unanswerable utterance / philosophical utterance / philosophical…
- REDDIT · 2026-03-12 · 0 UPVOTES[R] If LLMs are just token predictors, why does GPU load vary by content type?
I measured GPU power consumption across 4 local LLMs and 6 semantic categories in real-world conditions. Categories: general utterance / general utterance with reasoning / intentionally unanswerable utterance / philosophical utterance / philosophical…