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DeepSeek R1 Distill Qwen 1.5B 500 by NikolaSigmoid

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Model Card on HF 🤗: https://huggingface.co/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500 

DeepSeek R1 Distill Qwen 1.5B 500 Benchmarks

MMLU Pro: 1.38
MUSR: 2.25
BBH: 0.36
IFEval: 17.49 vs 88 (so35)-80.1%
LLME Score: 0.27628
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 1.5B 500 (NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500)

DeepSeek R1 Distill Qwen 1.5B 500 Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 1.5B 500
Repository 🤗https://huggingface.co/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500 
Base Model(s)  unsloth/deepseek-r1-distill-qwen-1.5b-bnb-4bit   unsloth/deepseek-r1-distill-qwen-1.5b-bnb-4bit
Model Size1.5b
Required VRAM1.7 GB
Updated2025-03-12
MaintainerNikolaSigmoid
Model Typeqwen2
Model Files  1.7 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500.

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