* benchmarks: tough competition with Sonnet-4
* 256K context, expandable to 1M with YaRN
there’s also a CLI forked from gemini-cli
qwenlm.github.io/blog/qwen3-c...
* benchmarks: tough competition with Sonnet-4
* 256K context, expandable to 1M with YaRN
there’s also a CLI forked from gemini-cli
qwenlm.github.io/blog/qwen3-c...
but they’re bringing in GLM-4.6
but they’re bringing in GLM-4.6
In Tests erzielt Qwen3-Coder-Next vergleichbare oder bessere Leistung als deutlich größere Open-Source-Modelle.
www.marktechpost.com/2026/02/03/q...
In Tests erzielt Qwen3-Coder-Next vergleichbare oder bessere Leistung als deutlich größere Open-Source-Modelle.
www.marktechpost.com/2026/02/03/q...
simonwillison.net/2025/Jul/25/...
simonwillison.net/2025/Jul/25/...
- Native 256K context (supports up to 1M tokens with YaRN)
- Optimized for platforms like Qwen Code, Cline, Roo Code, Kilo Code, etc.
💬 Chat: chat.qwen.ai
🤗 Model: hf.co/Qwen/Qwen3-C...
🔧 Repo: github.com/QwenLM/qwen-...
- Native 256K context (supports up to 1M tokens with YaRN)
- Optimized for platforms like Qwen Code, Cline, Roo Code, Kilo Code, etc.
💬 Chat: chat.qwen.ai
🤗 Model: hf.co/Qwen/Qwen3-C...
🔧 Repo: github.com/QwenLM/qwen-...
You can run Qwen3-Coder-30B on 32GB or RAM, and it's surprisingly capable at most coding tasks, even
You can run Qwen3-Coder-30B on 32GB or RAM, and it's surprisingly capable at most coding tasks, even
https://gigazine.net/news/20260204-alibaba-qwen3-coder-next/
https://gigazine.net/news/20260204-alibaba-qwen3-coder-next/
Built from 7 TB of real Kaggle datasets + 20k notebooks, creating real code exec traces using Qwen3-Coder and E2B.
huggingface.co/datasets/dat...
Built from 7 TB of real Kaggle datasets + 20k notebooks, creating real code exec traces using Qwen3-Coder and E2B.
huggingface.co/datasets/dat...
1. I couldn't get streaming tool calling to work perfectly
2. I was able to fix jinja template for qwen3-coder on branch of llama.cpp I am using for hosting glm-4.5-air
🤖 Scaling agentic training: 800K verifiable tasks + executable envs
📈 Efficiency–Performance Tradeoff: achieves strong results on SWE-Bench Pro with 80B total params and 3B active
🤖 Scaling agentic training: 800K verifiable tasks + executable envs
📈 Efficiency–Performance Tradeoff: achieves strong results on SWE-Bench Pro with 80B total params and 3B active
after all, why *shouldn't* I buy 256GB of DDR4-3200 and put it in my server? it's only... 700 USD... okay, maybe not
after all, why *shouldn't* I buy 256GB of DDR4-3200 and put it in my server? it's only... 700 USD... okay, maybe not
Might be time to finally give a fully local Opencode a shot.
Might be time to finally give a fully local Opencode a shot.