A specialized SLM based on Qwen3:0.6b for comprehensive HAProxy log analysis and security threat detection.
140 Pulls 3 Tags Updated 10 months ago
Qwen3.6-27B for NVIDIA GeForce RTX 3090. Working well in ollama, Not working with hermes
18 Pulls 1 Tag Updated 2 days ago
Qwen3.6-35B-A3B uncensored by HauhauCS. 0/465 Refusals. Patched to have vision support; Fully functional, 100% of what the original authors intended - just without the refusals. These are meant to be the best lossless uncensored models out there.
66.8K Pulls 5 Tags Updated 3 months ago
Qwen3.5-27B Q4_K_M/Q5_K_M/Q8_0 Coder Claude-4.6-Opus, All models have been tested!
3,691 Pulls 3 Tags Updated 4 months ago
ggml-org/Qwen3-Reranker-0.6B-Q8_0 - This model was converted to GGUF format from Qwen/Qwen3-Reranker-0.6B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
1,488 Pulls 1 Tag Updated 2 months ago
A lightweight but surprisingly capable reasoning model — distilled from Claude 4.6 Opus, quantized to Q4_K_M for local use.
1,745 Pulls 1 Tag Updated 3 months ago
1,578 Pulls 2 Tags Updated 3 months ago
DeepSeek-R1-0528-Qwen3-8B
936 Pulls 1 Tag Updated 2 months ago
Qwen3.6-27B uncensored by HauhauCS. 0/465 Refusals. *
758 Pulls 1 Tag Updated 2 months ago
582 Pulls 9 Tags Updated 5 months ago
High Quality Vision Instruct Model
493 Pulls 1 Tag Updated 5 months ago
405 Pulls 4 Tags Updated 5 months ago
A 0.6B parameter model built in two stages: knowledge distillation from a 30B Thinking teacher to establish a structured reasoning backbone, then supervised fine-tuning on legal instruction data. 50x compression. Under 500MB quantized. Runs on a phone.
305 Pulls 1 Tag Updated 3 months ago
Qwen3 1.7B (Q8_0) optimized for direct response. Template modified to remove all <think> blocks and force immediate output.
336 Pulls 1 Tag Updated 5 months ago
基于 Qwen3.5-0.8B 微调的心理支持对话模型,擅长情感陪伴与心理疏导。体积小、支持 CPU 端侧部署。
91 Pulls 1 Tag Updated 3 months ago
Abliterated Qwen3-14B with 80% reduced refusals while preserving coherence (KL 0.98)
12.3K Pulls 6 Tags Updated 7 months ago
Qwen3-30B-A3B-Instruct-2507 has the following features: - Type: Causal Language Models - Training Stage: Pretraining & Post-training - Number of Parameters: 30.5B in total and 3.3B activated - Number of Paramaters (Non-Embedding): 29.9B - Number of Layers
17.2K Pulls 1 Tag Updated 11 months ago
Unsloth Dynamic 2.0 Quants achieves 1M tokens & superior accuracy & SOTA quantization performance. Select UD-IQ3_XXS for 16GB VRAM, UD-Q4_K_XL for 24GB VRAM, or UD-Q5_K_XL/UD-Q6_K_XL for 32GB VRAM.
10.7K Pulls 5 Tags Updated 11 months ago
Qwen3-Coder-30B-A3B-Instruct-GGUF from: https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF
6,506 Pulls 1 Tag Updated 6 months ago
Qwen3 1.7b and 0.6b optimized for coding
2,607 Pulls 2 Tags Updated 6 months ago