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DeepSeek R1 Distill Qwen 7B Blunt by braindao

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DeepSeek R1 Distill Qwen 7B Blunt is an open-source language model by braindao. Features: 7b LLM, VRAM: 21.1GB, Context: 128K, LLM Explorer Score: 0.22.

  Arxiv:1910.09700   4-bit   Bitsandbytes   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt 

DeepSeek R1 Distill Qwen 7B Blunt Benchmarks

MMLU Pro: 1.88
GPQA: 2.8
MUSR: 6.16
BBH: 2.15
IFEval: 42.66 vs 88 (so35)-51.5%
MATH Lvl 5: 21.45
LLME Score: 0.21728
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 Distill Qwen 7B Blunt (braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt)
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DeepSeek R1 Distill Qwen 7B Blunt Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 7B Blunt
Repository 🤗https://huggingface.co/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt 
Model Size7b
Required VRAM21.1 GB
Updated2026-01-03
Maintainerbraindao
Model Typeqwen2
Model Files  4.8 GB: 1-of-2   4.9 GB: 1-of-4   1.1 GB: 2-of-2   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.2
Tokenizer ClassLlamaTokenizerFast
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt.

Rank the DeepSeek R1 Distill Qwen 7B Blunt Capabilities

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Instruction Following and Task Automation  
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