Codestral Embed can output embeddings with different dimensions and precisions. Codestral Embed with dimension 256 and int8 precision still performs better than any model from our competitors.
Codestral Embed can output embeddings with different dimensions and precisions. Codestral Embed with dimension 256 and int8 precision still performs better than any model from our competitors.
Edit prediction now supports multiple providers: GitHub Copilot's Next Edit Suggestions, Ollama, Mistralai's Codestral, Sweep, and Mercury Coder.
zed.dev/blog/edit-pr...
Edit prediction now supports multiple providers: GitHub Copilot's Next Edit Suggestions, Ollama, Mistralai's Codestral, Sweep, and Mercury Coder.
zed.dev/blog/edit-pr...
Thanks dvcrn!
```
"features": {
"edit_prediction_provider": "codestral"
}
```
Thanks dvcrn!
```
"features": {
"edit_prediction_provider": "codestral"
}
```
It is doing well on LMSYS Copilot Arena ( lmarena.ai?leaderboard ), but doing just OK in Aider LLM Leaderboard ( aider.chat/docs/leaderb... ).
It is doing well on LMSYS Copilot Arena ( lmarena.ai?leaderboard ), but doing just OK in Aider LLM Leaderboard ( aider.chat/docs/leaderb... ).
can't wait for new Anthropic releases I guess.
can't wait for new Anthropic releases I guess.
https://gigazine.net/news/20240530-codestral-mistral-ai/
https://gigazine.net/news/20240530-codestral-mistral-ai/
APIs are still easier to work with, but open releases drive tinkering, research, and tons of engagement.
APIs are still easier to work with, but open releases drive tinkering, research, and tons of engagement.
Key improvements include:
🔸+30% increase in accepted completions
🔸+10% more retained code after suggestion
🔸50% fewer runaway generations, improving confidence in longer edits
🔸Improved performance on academic benchmarks for short and long-context FIM completion
Key improvements include:
🔸+30% increase in accepted completions
🔸+10% more retained code after suggestion
🔸50% fewer runaway generations, improving confidence in longer edits
🔸Improved performance on academic benchmarks for short and long-context FIM completion
Mixtral was the first MoE model that got popular, Codestral the first developer oriented model that was worth looking at.
But Mistral followed up with mediocre models since then.
Mixtral was the first MoE model that got popular, Codestral the first developer oriented model that was worth looking at.
But Mistral followed up with mediocre models since then.
Check out our full article on Tinz Twins Hub for detailed steps and examples.
tinztwinshub.com/software-eng...
Check out our full article on Tinz Twins Hub for detailed steps and examples.
tinztwinshub.com/software-eng...
https://gigazine.net/news/20240717-mistral-ai-codestral-mamba/
https://gigazine.net/news/20240717-mistral-ai-codestral-mamba/
v0.78.0: auto-detect local models (Ollama/LM Studio), one click to add.
Codestral and DeepSeek Coder V2 — top local coding models. Your code stays yours.
ava-supernova.com
#LocalAI #PrivacyFirst #buildinpublic
v0.78.0: auto-detect local models (Ollama/LM Studio), one click to add.
Codestral and DeepSeek Coder V2 — top local coding models. Your code stays yours.
ava-supernova.com
#LocalAI #PrivacyFirst #buildinpublic