What are the hardware requirements for Qwen2 0.5B Gguf F16?

Qwen2 0.5B Gguf F16 requires approximately 1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 0.5B Gguf F16 and how large is it?

Qwen2 0.5B Gguf F16 is developed by inflaton, 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 Gguf F16?

Qwen2 0.5B Gguf F16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 0.5B Gguf F16 by inflaton — VRAM 1GB

Name: Qwen2 0.5B Gguf F16
Author: inflaton

Qwen2 0.5B Gguf F16 is an open-source language model by inflaton. Features: 0.5b LLM, VRAM: 1GB, Quantized, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Fp16 Gguf Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/inflaton/Qwen2-0.5B-gguf-f16

Qwen2 0.5B Gguf F16 Parameters and Internals

LLM Name	Qwen2 0.5B Gguf F16
Repository 🤗	https://huggingface.co/inflaton/Qwen2-0.5B-gguf-f16
Model Size	0.5b
Required VRAM	1 GB
Updated	2024-12-06
Maintainer	inflaton
Model Type	qwen2
Model Files	1.0 GB
GGUF Quantization	Yes
Quantization Type	fp16\|gguf
Model Architecture	AutoModel

Rank the Qwen2 0.5B Gguf F16 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 Gguf F16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Fncl GGUF	0K / 1 GB	18	0
Qwen2 0.5B GGUF	0K / 0.4 GB	72	0
...0.5B Instruct Bnb 4bit Q4KM 1E	0K / 0.4 GB	27	0
Qwen Jenna V01 Gguf Q4	0K / 0.4 GB	16	0
Qwen2 0.5B F16	0K / 1 GB	16	0
Qwen2 0.5B Gguf Q4 K M	0K / 0.4 GB	10	0
Qwen2 0.5B Q5 K M	0K / 0.4 GB	10	0
Qwen2 0.5B Q4 K M	0K / 0.4 GB	8	0
Qwen2 0.5B Instruct Sorah GGUF	0K / 0.4 GB	34	0
Qwen2 0.5B Gguf Q5 K M	0K / 0.4 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than inflaton/Qwen2-0.5B-gguf-f16.