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.
13.1K Pulls 6 Tags Updated 2 months ago
26.3.7. Qwen3.5-9B-Q4 Update: This model introduces higher-quality reasoning trajectories across domains such as science, instruction-following, and mathematics.
24.6K Pulls 1 Tag Updated 5 months ago
9B coding agent based on Qwen3.5-9B, fine-tuned on 425K real agentic traces from Claude Opus 4.6, GPT-5.4, and Gemini 3.1. Reads before it writes, traces bugs to the root cause, doesn't clobber your existing code.
15.9K Pulls 3 Tags Updated 5 months 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 +
5,537 Pulls 1 Tag Updated 3 months ago
7,444 Pulls 1 Tag Updated 4 months ago
26.3.18. Ver.2 update: This iteration is powered by 14,000+ premium Claude 4.6 Opus-style general reasoning samples, with a major focus on achieving massive gains in reasoning efficiency while actively improving peak accuracy.
7,633 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. Original: https://hf.co/Tesslate/OmniCoder-2-9B
5,059 Pulls 2 Tags Updated 5 months ago
pull from hf.co/Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF
3,454 Pulls 1 Tag Updated 3 months ago
Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash - is an efficient reasoning model distilled using high-quality data from DeepSeek-V4.
2,301 Pulls 1 Tag Updated 3 months ago
Open-source distilled model based on Qwen3.5-9B.
24 Pulls 1 Tag Updated 2 weeks ago
Custom model for coding with agents to use locally with 16gb GPUs (working very fine...)
1,135 Pulls 1 Tag Updated 1 month 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.
1,134 Pulls 6 Tags Updated 2 months ago
1,182 Pulls 1 Tag Updated 2 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.
891 Pulls 1 Tag Updated 2 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.
771 Pulls 8 Tags 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
982 Pulls 1 Tag Updated 4 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.
835 Pulls 1 Tag Updated 3 months ago
713 Pulls 1 Tag Updated 4 months ago
Fine-tuned Qwen3.5-9B with distilled reasoning and full vision support. 883 tensors (427 text + 441 vision + 15 MTP) — vision tower preserved byte-for-byte from base via llama-export-lora merge.
670 Pulls 1 Tag Updated 4 months ago
709 Pulls 1 Tag Updated 5 months ago