What are the hardware requirements for Qwen2 0.5B Instruct Sorah GGUF?

Qwen2 0.5B Instruct Sorah GGUF requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 0.5B Instruct Sorah GGUF and how large is it?

Qwen2 0.5B Instruct Sorah GGUF is developed by HirCoir, 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 Qwen2 0.5B Instruct Sorah GGUF?

Qwen2 0.5B Instruct Sorah GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 0.5B Instruct Sorah GGUF by HirCoir — VRAM 0.4GB

Name: Qwen2 0.5B Instruct Sorah GGUF
Author: HirCoir

Qwen2 0.5B Instruct Sorah GGUF is an open-source language model by HirCoir. Features: 0.5b LLM, VRAM: 0.4GB, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Gguf Instruct Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/HirCoir/Qwen2-0.5B-Instruct-Sorah-GGUF

Qwen2 0.5B Instruct Sorah GGUF Parameters and Internals

LLM Name	Qwen2 0.5B Instruct Sorah GGUF
Repository 🤗	https://huggingface.co/HirCoir/Qwen2-0.5B-Instruct-Sorah-GGUF
Model Size	0.5b
Required VRAM	0.4 GB
Updated	2025-01-30
Maintainer	HirCoir
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB 0.4 GB 0.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Qwen2 0.5B Instruct Sorah GGUF 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 0.5B Instruct Sorah GGUF

Best Alternatives	Context / RAM	Downloads
...0.5B Instruct Bnb 4bit Q4KM 1E	0K / 0.4 GB	27
...0.5B Instruct Bnb 4bit Q4KM 1E	0K / 0.4 GB	0
Omega Attention 0.5B	0K / 0 GB	43

Note: green Score (e.g. "73.2") means that the model is better than HirCoir/Qwen2-0.5B-Instruct-Sorah-GGUF.