Qwen3 30B-A3B · Ollama

dlasher/Qwen3-VL-30B-A3B-Instruct-GGUF

Qwen/Qwen3-VL-30B-A3B-Instruct - IQ4_NL Quant

tools

162 Pulls 1 Tag Updated 1 month ago

qooba/qwen3-coder-30b-a3b-instruct

Qwen3-Coder-30B-A3B-Instruct-GGUF from: https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF

7,329 Pulls 1 Tag Updated 9 months ago

moophlo/Qwen3-Coder-30B-A3B-Instruct-GGUF

tools

2,481 Pulls 2 Tags Updated 6 months ago

huihui_ai/qwenlong-l1.5-abliterated

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.

tools thinking 30b

2,926 Pulls 8 Tags Updated 9 months ago

fervent_mcclintock/Qwen3-Coder-30B-A3B-Instruct-Compliant

909 Pulls 9 Tags Updated 8 months ago

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

586 Pulls 4 Tags Updated 8 months ago

innocentevil0914/Qwen3-30B-A3B-Inst-unsloth-ud2-q8_k_xl

tools thinking

57 Pulls 1 Tag Updated 8 months ago

alibayram/Qwen3-30B-A3B-Instruct-2507

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

tools thinking

17.7K Pulls 1 Tag Updated 1 year ago

danielsheep/Qwen3-Coder-30B-A3B-Instruct-1M-Unsloth

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.

tools

12.1K Pulls 5 Tags Updated 1 year ago

SimonPu/Qwen3-Coder

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 ........

tools

4,289 Pulls 1 Tag Updated 1 year ago

dengcao/Qwen3-30B-A3B-Instruct-2507

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

tools thinking

3,419 Pulls 2 Tags Updated 1 year ago

ukjin/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill

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.

tools thinking 4b

2,613 Pulls 2 Tags Updated 1 year ago

anarko/qwen3-coder-flash

Unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF with defaults to consume roughly 32 GB of VRAM

tools 30b

2,121 Pulls 3 Tags Updated 1 year ago

mdq100/Qwen3-Coder-30B-A3B-Instruct

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

tools 30b

2,028 Pulls 1 Tag Updated 1 year ago