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AI 模型 84760
- SuperQwen3.8-27b-abliterated-GGUF↗
Jiunsong
**A one-DGX-Spark Q4_K_M release with a native MTP draft, Q8_0 vision projector, bounded reasoning, and a verified 262K context path.** This is the llama.cpp build of `Jiunsong/SuperQwen3.8-27b-abliterated`: the corrected rank-4 OBLITERATUS model, not an adapter and not the earlier incorrect lineage. The target, MTP draft, and multimodal projector are separate so text-only users do not pay for the projector, while vision and native speculative decoding remain available. The target contains 433 Q4_K, 65 Q6_K, and 353 F32 tensors. The MTP draft contains 10 Q4_0 and 8 F32 tensors. The projector deliberately retains unsupported or sensitive matrices: 83 Q8_0, 27 F16, and 224 F32 tensors.
- tiny-random-LlamaForCausalLM-onnx↗
katuni4ka
- springsea-0.1↗
keisuke-miyako
- Krea-2-LoRA-neondrip↗
krea
- Ko-PlatYi-6B↗
kyujinpy
**Model Architecture** Ko-PlatYi-6B is an auto-regressive language model based on the Yi-34B transformer architecture. **Training Dataset** kyujinpy/KOR-OpenOrca-Platypus-v3. > Follow up as link.
- Qwen3.6-35B-A3B-NVFP4-MTP-GGUF↗
LibertAIDAI
- tiny-random-qwen2.5↗
llamafactory
- granite-4.0-h-small-MLX-8bit↗
lmstudio-community
- Qwen2.5-Coder-7B-Instruct-GGUF↗
lmstudio-community
*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** Qwen **Original model**: Qwen2.5-Coder-7B-Instruct **GGUF quantization:** provided by bartowski based on `llama.cpp` release b3772 Dataset improvements: featuring 5.5 trillion tokens to improve generstion, reasoning, and bug fixing.
- Qwen3.5-35B-A3B-GGUF↗
lmstudio-community
*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator**: Qwen **Original model**: Qwen3.5-35B-A3B **GGUF quantization**: provided by LM Studio team using `llama.cpp` release b8145 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.