What are the hardware requirements for Medical Reasoning GPT Oss 20B?

Medical Reasoning GPT Oss 20B requires approximately 0.1 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 Medical Reasoning GPT Oss 20B and how large is it?

Medical Reasoning GPT Oss 20B is developed by dousery, a model with 20b 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 Medical Reasoning GPT Oss 20B?

Medical Reasoning GPT Oss 20B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Medical Reasoning GPT Oss 20B by dousery — VRAM 0.1GB, 128K context

Name: Medical Reasoning GPT Oss 20B
Author: dousery

Medical Reasoning GPT Oss 20B is an open-source language model by dousery. Features: 20b LLM, VRAM: 0.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:openai/gpt... Base model:openai/gpt-oss-20b Clinical Conversational Dataset:freedomintelligence/me... Diagnosis Endpoints compatible Finetuned Generated from trainer Gpt-oss Gpt oss Healthcare Lora Medical Model-index Reasoning Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/dousery/medical-reasoning-gpt-oss-20b

Medical Reasoning GPT Oss 20B Parameters and Internals

LLM Name	Medical Reasoning GPT Oss 20B
Repository 🤗	https://huggingface.co/dousery/medical-reasoning-gpt-oss-20b
Base Model(s)	GPT Oss 20B openai/gpt-oss-20b
Model Size	20b
Required VRAM	0.1 GB
Updated	2026-07-14
Maintainer	dousery
Model Type	gpt_oss
Model Files	0.1 GB 0.0 GB
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.0
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	201088
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|v_proj\|o_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	8
Torch Data Type	bfloat16

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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
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Multi-Language Support and Translation

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