MiMo-V2.6-Distill-9B (Qwen3.5-9B SFT): coding, agent tasks, visual coding, cybersecurity. Thinking + instruct quants, multimodal.
1,090 Pulls 9 Tags Updated 6 days ago
Text + Vision Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-NVFP4
2,756 Pulls 1 Tag Updated 3 weeks ago
Four-way omnimerge_v2 over Qwen3.5-9B (DeltaCoder 0.55 / Qwopus 0.30 / Ornith 0.15), built for multi-turn agentic coding: it keeps a task moving across turns and tool calls instead of re-issuing the same call. 9B dense, MTP head
405 Pulls 26 Tags Updated 2 weeks ago
109 Pulls 1 Tag Updated 3 weeks ago
Abliterated build of Qwythos-9B-Claude-Mythos, a Claude-style creative & reasoning model (Qwen3.5-9B base) with refusals further reduced via the Heretic library.
14.8K Pulls 6 Tags Updated 3 months ago
Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
3,999 Pulls 4 Tags Updated 1 month ago
Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash - is an efficient reasoning model distilled using high-quality data from DeepSeek-V4. + vision. ollama v.0.30.0-rc20 +
6,784 Pulls 1 Tag Updated 4 months ago
Qwen 3.5 9B quantized by BatiAI. 12.5 t/s on 16GB Mac. Best for tool calling.
5,129 Pulls 3 Tags Updated 5 months ago
pull from hf.co/Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF
3,839 Pulls 1 Tag Updated 4 months ago
Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash - is an efficient reasoning model distilled using high-quality data from DeepSeek-V4.
2,663 Pulls 1 Tag Updated 4 months ago
Custom model for coding with agents to use locally with 16gb GPUs (working very fine...)
1,569 Pulls 1 Tag Updated 2 months ago
No content review, no restrictions - Local model based on qwen3.5 (for learning purposes only)
2,719 Pulls 1 Tag Updated 5 months ago
Abliterated build of Qwable-9B-Claude-Fable, a Claude-style creative and reasoning model (Qwen3.5-9B base) with refusals reduced via the Heretic library.
1,389 Pulls 6 Tags Updated 3 months ago
1,322 Pulls 1 Tag Updated 3 months ago
A coding-optimized configuration of Qwen3.5-9B designed for 16 GB single-GPU hardware. The model uses the official Q4_K_M quantization (~6.6 GB weights), leaving ~9 GB headroom for KV cache — enabling 32K+ context windows comfortably.
1,190 Pulls 1 Tag Updated 3 months ago
Qwen3.5-9B-Red_Team is a fine-tuned version of Qwen3.5-9B, specifically optimized for offensive cybersecurity operations, adversary simulation, and Red Teaming tactics.
1,202 Pulls 8 Tags Updated 3 months ago
656 Pulls 1 Tag Updated 2 weeks ago
728 Pulls 1 Tag Updated 2 months ago
第二代 OmniCoder,基于 Qwen3.5-9B 微调。仅对助手 token 进行训练(与 v1 不同):不再出现重复循环,在长时间的智能体会话中能够稳定进行工具调用。 原文链接:https://hf.co/Tesslate/OmniCoder-2-9B
1,041 Pulls 1 Tag Updated 5 months ago
2nd gen OmniCoder, fine-tuned from Qwen3.5-9B. Trains on assistant tokens only (unlike v1): no more repetition loops, stable tool-calling in long agentic sessions. With a better prompt in general.
912 Pulls 1 Tag Updated 5 months ago