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Llama 3.1 Medprm Reward V1.0 by dmis-lab

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Llama 3.1 Medprm Reward V1.0 is an open-source language model by dmis-lab. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: mit, LLM Explorer Score: 0.21.

  Arxiv:2506.11474   Biomedical   Conversational   Endpoints compatible   Llama   Medical   Medical-ai   Process-reward-model   Region:us   Retrieval-augmented-generation   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dmis-lab/llama-3.1-medprm-reward-v1.0 

Llama 3.1 Medprm Reward V1.0 Benchmarks

LLME Score: 0.20905
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Medprm Reward V1.0 (dmis-lab/llama-3.1-medprm-reward-v1.0)
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Llama 3.1 Medprm Reward V1.0 Parameters and Internals

LLM NameLlama 3.1 Medprm Reward V1.0
Repository 🤗https://huggingface.co/dmis-lab/llama-3.1-medprm-reward-v1.0 
Model Size8b
Required VRAM16.1 GB
Updated2026-05-23
Maintainerdmis-lab
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizer
Padding Token<|eot_id|>
Vocabulary Size128257
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dmis-lab/llama-3.1-medprm-reward-v1.0.

Rank the Llama 3.1 Medprm Reward V1.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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