Ornith-1.0-35B is an efficient 35-billion parameter open-source reasoning model optimized for single-GPU deployment and trained via reinforcement learning to achieve state-of-the-art performance in agentic coding and tool-calling tasks.
14 Pulls 1 Tag Updated yesterday
Ornith-1.0-35B MoE (APEX-Compact 17GB): 1M context, vision, fits 32GB cards. 50/50 needles to 524K.
700 Pulls 13 Tags Updated 3 weeks ago
Uncesored 27 t/s 8 VRAM Muy bueno para hacking e ingenieria inversa
233 Pulls 1 Tag Updated 1 week ago
15 Pulls 1 Tag Updated 1 week ago
Custom model for coding with agents to use locally with 24gb or 2x16gb GPUs (working fine...)
160 Pulls 1 Tag Updated 1 month ago
Custom model for coding with agents to use locally with 32gb, 2x16gb or 5x8gb GPUs (working very well!!)
56 Pulls 1 Tag Updated 1 month ago