FIM-Midtraining Collection Function-aware FIM mid-training for coding agents: 6 checkpoints (7B/8B/14B) + the 400K/2.6B-token corpus. github.com/TIGER-AI-Lab/FIM-Midtraining • 8 items • Updated Jul 15 • 1
nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 Text Generation • 32B • Updated 27 days ago • 570k • • 218
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 Text Generation • 561B • Updated 27 days ago • 164k • • 346
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 Text Generation • 303B • Updated 27 days ago • 343k • • 333
Devstral 2 Collection A couple of agentic LLMs for software engineering tasks, excelling at using tools to explore codebases, edit multiple files, and power SWE Agents. • 2 items • Updated Mar 2 • 57
view post Post 5412 Qwen3.6-27B is out now! Run it locally on 18GB RAM. 💜Qwen3.6-27B surpasses Qwen3.5-397B-A17B on all major coding benchmarks.GGUFs to run: unsloth/Qwen3.6-27B-GGUFGuide + MLX: https://unsloth.ai/docs/models/qwen3.6 See translation 🔥 29 29 + Reply