Qwen3.1 · Ollama

dedeprogames/open-reasoner

OpenReasoner is a fine-tuned qwen3:8b and qwen3:1.7b model trained on the OpenThoughts-114k dataset.

tools thinking 1.7b 8b

140 Pulls 2 Tags Updated 5 months ago

Scoutty/qwen3.16k

tools thinking

16 Pulls 1 Tag Updated 5 months ago

s44t12/big

Renamed qwen3:14b

tools thinking

127 Pulls 1 Tag Updated 9 months ago

s44t12/mini

Renamed qwen3:1.7b.

tools thinking

50 Pulls 1 Tag Updated 9 months ago

SetneufPT/Qwen3.5-9B-Coder_Q4_256k_ABL_16GB-GPU

Custom model for coding with agents to use locally with 16gb GPUs (working very fine...)

vision tools thinking

155 Pulls 1 Tag Updated 3 days ago

satgeze/qwen36-35b-uncensored-1m

Qwen3.6-35B uncensored flagship: 1M certified 70/70, vision, MTP grafted. One file, four capabilities.

vision tools thinking

1,135 Pulls 2 Tags Updated 1 week ago

SetneufPT/Qwen3.6-27B-CODER-MTP_Q4_105k_24GB-GPU

Custom model for coding with agents to use locally with 24gb GPUs - BEST FOR OPENCODE!

vision tools thinking

380 Pulls 1 Tag Updated 1 week ago

maxwellb/Qwen3.5-35B-A3B-Base

Qwen3.5-35B-A3B-Base quantized to fit in 16GB GPU RAM

vision tools thinking

224 Pulls 2 Tags Updated 2 weeks ago

carstenuhlig/omnicoder-9b

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.

tools thinking

14.7K Pulls 3 Tags Updated 4 months ago

VladimirGav/Qwen3.6-27B-16GB-VRAM-Uncensored

6,383 Pulls 1 Tag Updated 2 months ago

kwangsuklee/Qwen3.5-9B.Q4_K_M-Claude-4.6-Opus-Reasoning-Distilled-v2

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.

7,295 Pulls 1 Tag Updated 4 months ago

SetneufPT/Qwen3.6-27B-MTP_Q3_32K_16GB-GPU

Custom model for coding with agents to use locally with 16gb GPUs (working fine...)

1,483 Pulls 1 Tag Updated 1 month ago

kwangsuklee/Qwen3.5-4B.Q4_K_M-Claude-4.6-Opus-Reasoning-Distilled-v2

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.

2,082 Pulls 1 Tag Updated 4 months ago

Maternion/lfm2

LFM2-8B-A1B is the best on-device MoE in terms of both quality (comparable to 3-4B dense models) and speed (faster than Qwen3-1.7B). Updated LFM2.5-8B-A1B is now available!

tools 8b

1,880 Pulls 4 Tags Updated 4 months ago

oamazonasgabriel/qwen3.5-9b

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.

vision tools thinking

666 Pulls 1 Tag Updated 1 month ago

reecdev/tiny3.5

An attempt to compress Qwen3.5 into 500M and 1.5B parameters.

tools thinking 500m 1.5b

705 Pulls 2 Tags Updated 3 months ago

reaperdoesntrun/DistilQwen3-1.7B-uncensored

tools thinking

474 Pulls 1 Tag Updated 3 months ago

rekiniasty/qwen3.5

Based on Qwen3.5-122B-A10B and converted from the MLX Community 4-bit release (https://huggingface.co/mlx-community/Qwen3.5-122B-A10B-4bit)

vision tools thinking

224 Pulls 1 Tag Updated 1 month ago

mdq100/qwen3.5

Custom Qwen3.5 variants optimized for 128GB unified memory systems, such as AMD Ryzen AI Max+ 395. On Windows 11, GPU is limited to 96GB (32GB reserved for OS/CPU), requiring context window capped at 131072 tokens (128K) to fit within GPU memory limits.

vision tools thinking

368 Pulls 2 Tags Updated 4 months ago

fervent_mcclintock/Qwen3-Coder-30B-A3B-Instruct-Pruned-15B-A3B

405 Pulls 4 Tags Updated 5 months ago