Qwen/Qwen3-VL-30B-A3B-Instruct - IQ4_NL Quant
17 Pulls 1 Tag Updated 3 days ago
Quantized Q4_K_S version of Qwen3-coder 30B FP16 model
148 Pulls 1 Tag Updated 3 weeks ago
2,052 Pulls 2 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.
373 Pulls 1 Tag Updated 5 months ago
Qwen3-Coder-30B-A3B-Instruct-GGUF from: https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF
6,938 Pulls 1 Tag Updated 8 months ago
QwenLong-L1.5, a long-context reasoning model built upon Qwen3-30B-A3B-Thinking, augmented with memory mechanisms to process tasks far beyond its physical context window.
2,668 Pulls 8 Tags Updated 8 months ago
This model is a distilled version of Qwen/Qwen3-30B-A3B-Instruct designed to inherit the reasoning and behavioral characteristics of its much larger teacher model, deepseek-ai/DeepSeek-V3.1.
2,196 Pulls 2 Tags Updated 11 months ago
Unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF with defaults to consume roughly 32 GB of VRAM
2,047 Pulls 3 Tags Updated 11 months ago
Qwen3-Coder is a highly capable coding assistant, based on Qwen3-Coder-30B-A3B-Instruct. She is designed for local development and agentic coding workflows
1,874 Pulls 1 Tag Updated 11 months ago
777 Pulls 9 Tags Updated 7 months ago
451 Pulls 4 Tags Updated 7 months ago
Unsloth-tuned Qwen3 30B mixture‑of‑experts model built for heavy coding, reasoning, and agentic workflows.
536 Pulls 6 Tags Updated 11 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
17.5K Pulls 1 Tag Updated 1 year ago
39 Pulls 1 Tag Updated 7 months ago
Quantized version of Qwen3 models (4B,8B,14B,32B, 30B-moe) optimized for tool usage in Cline / Roo Code and solving Complex Problems.
15.2K Pulls 8 Tags Updated 1 year 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.
11.6K Pulls 5 Tags Updated 1 year ago
30 Pulls 1 Tag Updated 11 months ago
Qwen3-Coder is available in multiple sizes. Today, we’re excited to introduce Qwen3-Coder-30B-A3B-Instruct. This streamlined model maintains impressive performance and efficiency ........
4,139 Pulls 1 Tag Updated 1 year ago
3,145 Pulls 2 Tags Updated 1 year ago
Alibaba's Qwen3-Coder-30B 4bit with 256k token context. Enhanced tool calling for agentic coding tasks
1,415 Pulls 1 Tag Updated 1 year ago