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

Qwen2.5 7B Sft Fixed requires approximately 15.2 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 Qwen2.5 7B Sft Fixed and how large is it?

Qwen2.5 7B Sft Fixed is developed by NLP-Final-Project, a model with 7b 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 Qwen2.5 7B Sft Fixed?

Qwen2.5 7B Sft Fixed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B Sft Fixed by NLP-Final-Project — VRAM 15.2GB, 128K context

Name: Qwen2.5 7B Sft Fixed
Author: NLP-Final-Project

Qwen2.5 7B Sft Fixed is an open-source language model by NLP-Final-Project. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.23.

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

Model Card on HF 🤗: https://huggingface.co/NLP-Final-Project/qwen2.5-7b-sft-fixed

Qwen2.5 7B Sft Fixed Parameters and Internals

LLM Name	Qwen2.5 7B Sft Fixed
Repository 🤗	https://huggingface.co/NLP-Final-Project/qwen2.5-7b-sft-fixed
Model Name	qwen2.5-7b-sft-fixed
Base Model(s)	Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-06-08
Maintainer	NLP-Final-Project
Model Type	qwen2
Model Files	15.2 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Qwen2.5 7B Sft Fixed capabilities

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Best Alternatives to Qwen2.5 7B Sft Fixed

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than NLP-Final-Project/qwen2.5-7b-sft-fixed.