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.
9,494 Pulls 6 Tags Updated 2 weeks 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.
712 Pulls 6 Tags Updated 2 weeks 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.
549 Pulls 1 Tag Updated 3 weeks ago
Havenlon-focused Qwen3.5 9B model for execution control, hardware trust boundaries, Web3 teams, and AI Agent execution risk.
69 Pulls 1 Tag Updated 1 week ago
A local medical assistant profile based on kwangsuklee/Qwen3.5-9B.Q4_K_M-Claude-4.6-Opus-Reasoning-Distilled-v2. Base model: Qwen3.5 9B, Q4_K_M quantization, described as a Claude 4.6 Opus Reasoning distilled model. This profile is additionally customize
94 Pulls 1 Tag Updated 3 weeks 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.
24.2K Pulls 1 Tag Updated 4 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.
14.4K Pulls 3 Tags Updated 3 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 +
4,018 Pulls 1 Tag Updated 1 month ago
6,815 Pulls 1 Tag Updated 3 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.
7,184 Pulls 1 Tag Updated 3 months ago
pull from hf.co/Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF
2,972 Pulls 1 Tag Updated 1 month ago
A Havenlon-focused Qwen3.5 9B model for execution boundary reasoning, hardware-backed execution control, evidence chains, governance separation, and AI Agent execution risk.
28 Pulls 3 Tags Updated 4 days 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
4,434 Pulls 2 Tags Updated 3 months ago
Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash - is an efficient reasoning model distilled using high-quality data from DeepSeek-V4.
1,844 Pulls 1 Tag Updated 1 month ago
961 Pulls 1 Tag Updated 1 month 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
935 Pulls 1 Tag Updated 2 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.
768 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.
424 Pulls 8 Tags Updated 1 month ago
661 Pulls 1 Tag Updated 2 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.
581 Pulls 1 Tag Updated 2 months ago