What are the hardware requirements for Qwen2.5 7B Instruct Clinic Sft?

Qwen2.5 7B Instruct Clinic Sft requires approximately 30.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 7B Instruct Clinic Sft and how large is it?

Qwen2.5 7B Instruct Clinic Sft is developed by whybe-choi, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen2.5 7B Instruct Clinic Sft perform on standard benchmarks?

Qwen2.5 7B Instruct Clinic Sft has the following published scores: LMSYS ELO 1261. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen2.5 7B Instruct Clinic Sft by whybe-choi — VRAM 30.5GB, 32K context

Name: Qwen2.5 7B Instruct Clinic Sft
Author: whybe-choi

Qwen2.5 7B Instruct Clinic Sft is an open-source language model by whybe-choi. Features: 7b LLM, VRAM: 30.5GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.34, ELO: 1261.

Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/whybe-choi/Qwen2.5-7B-Instruct-clinic-sft

Qwen2.5 7B Instruct Clinic Sft Benchmarks

LMSys ELO 1261 vs 1272 (so35) -0.9%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen2.5 7B Instruct Clinic Sft Parameters and Internals

LLM Name	Qwen2.5 7B Instruct Clinic Sft
Repository 🤗	https://huggingface.co/whybe-choi/Qwen2.5-7B-Instruct-clinic-sft
Model Name	Qwen2.5-7B-Instruct
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	30.5 GB
Updated	2025-09-28
Maintainer	whybe-choi
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-7 4.8 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 5.0 GB: 5-of-7 3.7 GB: 6-of-7 2.2 GB: 7-of-7
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Qwen2.5 7B Instruct Clinic Sft capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Qwen2.5 7B Instruct Clinic Sft

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than whybe-choi/Qwen2.5-7B-Instruct-clinic-sft.