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Qwen3 30B A3B Thinking 2507 Deepseek V3.1 Distill FP32 by BasedBase

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Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-...   Code-generation   Distillation   Lora   Lora-merged   Mixture-of-experts   Moe   Qwen   Qwen3 moe   Region:us   Safetensors   Sharded   Svd   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32 

Qwen3 30B A3B Thinking 2507 Deepseek V3.1 Distill FP32 Benchmarks

LLME Score: 0.28467
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 30B A3B Thinking 2507 Deepseek V3.1 Distill FP32 (BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32)
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Qwen3 30B A3B Thinking 2507 Deepseek V3.1 Distill FP32 Parameters and Internals

LLM NameQwen3 30B A3B Thinking 2507 Deepseek V3.1 Distill FP32
Repository 🤗https://huggingface.co/BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32 
Base Model(s)  Qwen3 30B A3B Thinking 2507   Qwen/Qwen3-30B-A3B-Thinking-2507
Model Size30b
Required VRAM122.2 GB
Updated2025-08-31
MaintainerBasedBase
Model Typeqwen3_moe
Model Files  8.0 GB: 1-of-16   8.0 GB: 2-of-16   8.0 GB: 3-of-16   8.0 GB: 4-of-16   8.0 GB: 5-of-16   8.0 GB: 6-of-16   8.0 GB: 7-of-16   8.0 GB: 8-of-16   8.0 GB: 9-of-16   8.0 GB: 10-of-16   8.0 GB: 11-of-16   8.0 GB: 12-of-16   8.0 GB: 13-of-16   8.0 GB: 14-of-16   8.0 GB: 15-of-16   2.2 GB: 16-of-16
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.55.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32.

Rank the Qwen3 30B A3B Thinking 2507 Deepseek V3.1 Distill FP32 Capabilities

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