What are the hardware requirements for Qwen2.5 Coder 0.5B FIM Spec Zeta?

Qwen2.5 Coder 0.5B FIM Spec Zeta requires approximately 1.3 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 Qwen2.5 Coder 0.5B FIM Spec Zeta and how large is it?

Qwen2.5 Coder 0.5B FIM Spec Zeta is developed by wobondar, 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 Qwen2.5 Coder 0.5B FIM Spec Zeta?

Qwen2.5 Coder 0.5B FIM Spec Zeta is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 0.5B FIM Spec Zeta by wobondar — VRAM 1.3GB, 32K context

Name: Qwen2.5 Coder 0.5B FIM Spec Zeta
Author: wobondar

Qwen2.5 Coder 0.5B FIM Spec Zeta is an open-source language model by wobondar. Features: 0.5b LLM, VRAM: 1.3GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.19.

Arxiv:2407.10671 Arxiv:2409.12186 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Codegen Codeqwen En Endpoints compatible Qwen Qwen-coder Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/wobondar/Qwen2.5-Coder-0.5B-FIM-spec-zeta

Qwen2.5 Coder 0.5B FIM Spec Zeta Parameters and Internals

LLM Name	Qwen2.5 Coder 0.5B FIM Spec Zeta
Repository 🤗	https://huggingface.co/wobondar/Qwen2.5-Coder-0.5B-FIM-spec-zeta
Base Model(s)	Qwen/Qwen2.5-Coder-0.5B Qwen/Qwen2.5-Coder-0.5B
Model Size	0.5b
Required VRAM	1.3 GB
Updated	2026-07-29
Maintainer	wobondar
Model Type	qwen2
Model Files	1.3 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.54.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Coder 0.5B FIM Spec Zeta capabilities

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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 Qwen2.5 Coder 0.5B FIM Spec Zeta

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 Coder 0.5B Instruct	32K / 1 GB	97439	74
Qwen2.5 Coder 0.5B	32K / 1 GB	32993	58
Qwen 2.5 Coder 0.5B SQL Writer	32K / 1 GB	13	0
Zeta 0.5B Sft	32K / 1 GB	8	0
Qw2 Ft Lc	32K / 2 GB	6	0
... 0.5B Finetune LeetcodeDataset	32K / 2 GB	6	0
Zeta Sft	32K / 1 GB	23	0
Qwen CoMa 0.5B	32K / 1.3 GB	2	1
Qwen2.5 Coder 0.5B Instruct	32K / 1 GB	2321	5
Qwen2.5 Coder 0.5B Instruct	32K / 1 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than wobondar/Qwen2.5-Coder-0.5B-FIM-spec-zeta.