What are the hardware requirements for Qweb2.5 FT CSY?

Qweb2.5 FT CSY requires approximately 2 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 Qweb2.5 FT CSY and how large is it?

Qweb2.5 FT CSY is developed by josang1204, a model with 0.5b 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 Qweb2.5 FT CSY?

Qweb2.5 FT CSY is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qweb2.5 FT CSY by josang1204 — VRAM 2GB, 32K context

Name: Qweb2.5 FT CSY
Author: josang1204

Qweb2.5 FT CSY is an open-source language model by josang1204. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, LLM Explorer Score: 0.16.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Conversational Endpoints compatible Generated from trainer Module 1 Qwen2 Region:us Safetensors Sft Smol-course Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/josang1204/Qweb2.5-FT-CSY

Qweb2.5 FT CSY Parameters and Internals

LLM Name	Qweb2.5 FT CSY
Repository 🤗	https://huggingface.co/josang1204/Qweb2.5-FT-CSY
Model Name	Qweb2.5-FT-CSY
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	2 GB
Updated	2026-07-23
Maintainer	josang1204
Model Type	qwen2
Model Files	2.0 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qweb2.5 FT CSY 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 Qweb2.5 FT CSY

Best Alternatives	Context / RAM	Downloads	Likes
Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than josang1204/Qweb2.5-FT-CSY.