What are the hardware requirements for TESS QwenRe Fact 0.5B?

TESS QwenRe Fact 0.5B 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 TESS QwenRe Fact 0.5B and how large is it?

TESS QwenRe Fact 0.5B is developed by prithivMLmods, 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 TESS QwenRe Fact 0.5B?

TESS QwenRe Fact 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TESS QwenRe Fact 0.5B by prithivMLmods — VRAM 2GB, 32K context

Name: TESS QwenRe Fact 0.5B
Author: prithivMLmods

TESS QwenRe Fact 0.5B is an open-source language model by prithivMLmods. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Code Conversational En Endpoints compatible Fact Instruct Math Qwen2 Region:us Safetensors Short-context-reasoning Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/TESS-QwenRe-Fact-0.5B

TESS QwenRe Fact 0.5B Parameters and Internals

LLM Name	TESS QwenRe Fact 0.5B
Repository 🤗	https://huggingface.co/prithivMLmods/TESS-QwenRe-Fact-0.5B
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	2 GB
Updated	2026-08-07
Maintainer	prithivMLmods
Model Type	qwen2
Instruction-Based	Yes
Model Files	2.0 GB
Supported Languages	en zh
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the TESS QwenRe Fact 0.5B 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 TESS QwenRe Fact 0.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge3	128K / 1.3 GB	35	1
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	29	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	0
Sawyer 0.5B	32K / 1 GB	474	3
Qwen2.5 0.5B Grounded Sft	32K / 1 GB	728	1
Qwen2.5 0.5B Grounded Rloo	32K / 1 GB	705	1
Qwen2.5 0.5B Instruct	32K / 1 GB	6324790	572
Parchi V2	32K / 1 GB	538	0
Qwen2.5 0.5B Sukshma	32K / GB	587	1
Qwen2.5 0.5B Instruct ONNX	32K / GB	340	2

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/TESS-QwenRe-Fact-0.5B.