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.
2,894 Pulls 8 Tags Updated 9 months ago
57 Pulls 1 Tag Updated 8 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
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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.
2,581 Pulls 2 Tags Updated 1 year ago
This repo contains both the Q4_K_XL version of Qwen3-30B-A3B-Instruct-2507 and Qwen3-30B-A3B-Thinking-2507
1,195 Pulls 3 Tags Updated 1 year ago
Unsloth Dynamic 2.0 Quants achieves superior accuracy & SOTA quantization performance. UD-Q4_K_XL provided.
1,064 Pulls 2 Tags Updated 1 year ago
包含3个量化版本GGUF：Qwen3-30B-A3B-Q8_0，Qwen3-30B-A3B-Q5_K_M，Qwen3-30B-A3B-F16
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https://huggingface.co/burtenshaw/Qwen3-30B-A3B-python-coder
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Qwen3-16B-A3B is a rendition of Qwen3-30B-A3B by kalomaze.
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Qwen3-30B-A3B converted to GGUF format
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Qwen3-30B-A3B-Instruct-2507，Q8_0
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这是unsloth的Q8动态量化版本，精度第一的量化版本！Unsloth Dynamic 2.0 实现了卓越的准确性，并超越了其他领先的量化模型。
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Base model
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qwen3-30B-A3B-Instruct-2507.Q4_0
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Qwen/Qwen3-VL-30B-A3B-Instruct - IQ4_NL Quant
157 Pulls 1 Tag Updated 1 month ago