What are the hardware requirements for Llama 3.1 Medprm Reward V1.0?

Llama 3.1 Medprm Reward V1.0 requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Medprm Reward V1.0 and how large is it?

Llama 3.1 Medprm Reward V1.0 is developed by dmis-lab, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.1 Medprm Reward V1.0?

Llama 3.1 Medprm Reward V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Medprm Reward V1.0 by dmis-lab — VRAM 16.1GB, 128K context

Name: Llama 3.1 Medprm Reward V1.0
Author: dmis-lab

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: 0.19.

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 Parameters and Internals

LLM Name	Llama 3.1 Medprm Reward V1.0
Repository 🤗	https://huggingface.co/dmis-lab/llama-3.1-medprm-reward-v1.0
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-20
Maintainer	dmis-lab
Model Type	llama
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 Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|eot_id\|>
Vocabulary Size	128257
Torch Data Type	bfloat16

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

Best Alternatives to Llama 3.1 Medprm Reward V1.0

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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

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