Laguna-XS.2-GGUF
First-ever GGUF conversion of poolside/Laguna-XS.2, produced as part of the Poolside Research Hackathon. Laguna XS.2 is a 33.4B...
First-ever GGUF conversion of poolside/Laguna-XS.2, produced as part of the Poolside Research Hackathon. Laguna XS.2 is a 33.4B...
> Same size as a standard Q4KM. Measurably closer to the Q8 teacher across every measured lane (code/math,...
GGUF quantization of junwatu/resep-ID-gemma-4-E2B-it, a fine-tune of google/gemma-4-e2b-it for Indonesian recipe generation. This is the portable, runs-on-your-laptop version....
> A next-generation multi-agent collaboration core brain for game development, based on Qwen3.5-122B-A10B-MoE architecture with deep optimization, running...
Qwen 3 Embedding 8B in INT4. About 5 GB on disk. Runs on an 8 GB consumer GPU....
Cerebellum v5 is an ablation-guided mixed-precision GGUF quantization of google/gemma-4-26B-A4B-it. This is a 26B-parameter MoE model with 4B...
Весовые коэффициенты идентичны байтам вышестоящего количества (проверено config.json и model.safetensors.index.json SHA-256). Это зеркало существует для обеспечения закрепленной, стабильной,...
— Base model: deepseek-ai/DeepSeek-V4-Flash — Source revision: 6e763230a9d263eca2023f1d4a5ce1bfe126cf48 — Architecture: DeepseekV4ForCausalLM — Model type: deepseekv4` — Tooling branch:...
Partial GPTQ Int4 quant of Qwen/Qwen3.6-27B, produced with the verbatim recipe from Qwen’s own Qwen/Qwen3.5-27B-GPTQ-Int4 — only MLP/FFN...
— Used mmangkad/Qwen3.6-27B-NVFP4 as base model (Thank you for doing ModelOpt quant!) — Another mixed precision quant: ssmout...