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AI 模型 85003

• MiMo-V2.5-Pro-FP4-DFlash↗

  XiaomiMiMo

• Qwen3-4B-RPG-Roleplay-V2↗

  Zlatiik

• Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-tall_tame_panther↗

  0xgr3y

  Our pick an **experimental (advanced) mode** at this model a continuously trained `Qwen2.5-Coder-0.5B-Instruct` fine-tuned using **Gensyn RL-Swarm** framework with **GRPO (Group Relative Policy Optimization)** and supported format **GGUF (llama.cpp)** for enhanced code generation capabilities. **Note: Current training focuses on programming challenges with adaptive weighted sampling**. **Total Dataset Size:** Streaming datasets with infinite iteration **Training Samples per Round:** 2 **Evaluation:** Real-time via Swarm Coordination with Ollama-based evaluator else Judge > "When the solvers perform well, the proposer automatically increases the difficulty to keep challenging solvers to get better over time." - CodeZero-blog

• GLM-4.7-Flash-Name-NSFW-GGUF↗

  2048lr

• AnimeGen-T2V↗

  aidealab

• OmniSearch-Qwen-VL-Chat-en↗

  Alibaba-NLP

• DataDecide-dclm-baseline-qc-fw-3p-1B↗

  allenai

• Qwen3.8-2B-Uncensored-GGUF↗

  atakhadivi

  GGUF quantization of **empero-ai/Qwen3.8-2B** with refusals removed via Heretic v1.4.0 abliteration. Built from `insraq/Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated` (Heretic v1.4.0 decensored build, reproducible recipe included in that repo). 2B parameters, Qwen3.5-architecture hybrid (Gated DeltaNet + full attention). Use the embedded chat template (conversation mode). This is a reasoning model: answers open with a think block. Verified output on Apple Silicon CPU: 31.7 t/s generation. This is an **uncensored** model — the refusal direction was removed. It will not refuse harmful or illegal requests. Research / personal use only. Apache-2.0 inherited from the Qwen3.5-2B base.

• MicroGlot↗

  athanzli

• VideoXL2_Training_Data_Anno_Files↗

  BAAI