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DeepSeek R1 Distill Qwen 1.5B Medical Continual Pretrain Merged by MilyaShams

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DeepSeek R1 Distill Qwen 1.5B Medical Continual Pretrain Merged is an open-source language model by MilyaShams. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

  Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged 

DeepSeek R1 Distill Qwen 1.5B Medical Continual Pretrain Merged Benchmarks

LLME Score: 0.18278
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 Medical Continual Pretrain Merged (MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged)
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DeepSeek R1 Distill Qwen 1.5B Medical Continual Pretrain Merged Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 1.5B Medical Continual Pretrain Merged
Repository 🤗https://huggingface.co/MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged 
Base Model(s)  unsloth/deepseek-r1-distill-qwen-1.5b   unsloth/deepseek-r1-distill-qwen-1.5b
Model Size1.5b
Required VRAM3.5 GB
Updated2026-04-30
MaintainerMilyaShams
Model Typeqwen2
Model Files  3.5 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.

Rank the DeepSeek R1 Distill Qwen 1.5B Medical Continual Pretrain Merged Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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