ccore/Qwen3.5-4B-GLB-3D-Coder
Text Generation • 5B • Updated • 43k • 303
🏗️ Building on HF
Nasho
Nacholmo
AI & ML interests
Controlnet, Diffusers
Recent Activity
liked a model 8 days ago
ccore/Qwen3.5-4B-GLB-3D-Coder reacted to davidjbrewer's post with 🔥 20 days ago
We use North Mini Code 1.0 locally (Ollama, q4_K_M) with OpenCode as our primary coding model. It's been the strongest small agentic coder we've tested. The one gap in daily work is that we can't paste screenshots of errors, terminal output or UI bugs into a session, since the model is text-only. Switching to a separate vision model mid-task breaks the workflow.
Is native image input planned for a future North Mini Code release, for example by building in North Micro Vision's encoder? We'd test an early build. liked a model 24 days ago
OpenMOSS-Team/MOSS-Image-SFTOrganizations
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reacted to davidjbrewer's post with 🔥 20 days ago
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We use North Mini Code 1.0 locally (Ollama, q4_K_M) with OpenCode as our primary coding model. It's been the strongest small agentic coder we've tested. The one gap in daily work is that we can't paste screenshots of errors, terminal output or UI bugs into a session, since the model is text-only. Switching to a separate vision model mid-task breaks the workflow.
Is native image input planned for a future North Mini Code release, for example by building in North Micro Vision's encoder? We'd test an early build.
Is native image input planned for a future North Mini Code release, for example by building in North Micro Vision's encoder? We'd test an early build.
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reacted to tardellirs's post with 🔥 about 1 month ago
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I built Model Pulse: daily download history for every model on the Hub 📈
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1 's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. tardellirs/model-pulse
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models?
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1 's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. tardellirs/model-pulse
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models?
- 12 replies
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