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Open-weight model · Text generation

Qwen2.5-7B-Medical-O1-Reasoning

by The Political Scientist thepoliticalscientist/Qwen2.5-7B-Medical-O1-Reasoning

Qwen2.5-7B-Medical-O1-Reasoning is an open-weight model for text generation from The Political Scientist, released under Apache License 2.0. It has 7.6B parameters and a 32,768-token context. At 16-bit it needs about 18.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Parameters7.6B
Context32,768
Weights15.2 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve Qwen2.5-7B-Medical-O1-Reasoning (7.6B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 15.2 GB 18.3 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 7.6 GB 9.1 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 3.8 GB 4.6 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 18, 2026.

Qwen2.5-7B-Medical-O1-Reasoning on every accelerator the SAVRN Index prices, at every precision

Model Card

By The Political Scientist, published under apache-2.0, revision 3670319505dd.

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Read The Political Scientist's full model card

Uploaded finetuned model

  • Developed by: thepoliticalscientist
  • License: apache-2.0
  • Finetuned from model : unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Configuration

Architecture
Qwen2ForCausalLM
Context length (tokens)
32,768
Layers
28
Hidden size
3,584
Feed-forward size
18,944
Attention heads
28
Key/value heads
4
Vocabulary size
152,064
Stored precision
bfloat16
Model type
qwen2

Identity and Version

Repository
thepoliticalscientist/Qwen2.5-7B-Medical-O1-Reasoning
Publisher
The Political Scientist
Task
Text generation
Modality
Text
Library
transformers
Parameters
7.6B parameters
Languages
en
Revision
3670319505ddf2c9359177b8e915ad442c1a19b0
First published
2026-09-27
Last updated
2026-09-27

Files and Weights

12 files, 15.2 GB in total. The weights are 4 files totalling 15.2 GB in safetensors.

Weights4 files · 15.2 GB
Configuration3 files · 29.5 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 626 B
Other1 file · 2.5 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00004.safetensorsWeights4.9 GB d4e4aa6329b1
model-00002-of-00004.safetensorsWeights4.9 GB 2737bf7171f0
model-00003-of-00004.safetensorsWeights4.3 GB 188d5577d056
model-00004-of-00004.safetensorsWeights1.1 GB 06006972c3be
config.jsonConfiguration1.5 KB —
generation_config.jsonConfiguration239 B —
model.safetensors.index.jsonConfiguration27.8 KB —
README.mdDocumentation626 B —
chat_template.jinjaOther2.5 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB 6b4360dd6a18
tokenizer_config.jsonTokenizer7.0 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
15.2 GB
Download from The Political Scientist

Released by The Political Scientist through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published15.2 GB
16-bit15.2 GB
8-bit7.6 GB
4-bit3.8 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Qwen2.5-7B-Medical-O1-Reasoning

How much GPU memory does Qwen2.5-7B-Medical-O1-Reasoning need?

About 18.3 GB at 16-bit and 4.6 GB at 4-bit: the weights (7.6B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Qwen2.5-7B-Medical-O1-Reasoning on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use Qwen2.5-7B-Medical-O1-Reasoning commercially?

Yes. Qwen2.5-7B-Medical-O1-Reasoning is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is Qwen2.5-7B-Medical-O1-Reasoning's context length?

32,768 tokens, from the maximum position embeddings in its published configuration.

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