What are the hardware requirements for Qwen2.5 Coder 0.5B Mergelinear0.8?

Qwen2.5 Coder 0.5B Mergelinear0.8 requires approximately 1 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 Mergelinear0.8 and how large is it?

Qwen2.5 Coder 0.5B Mergelinear0.8 is developed by noirchan, 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 Mergelinear0.8?

Qwen2.5 Coder 0.5B Mergelinear0.8 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 Mergelinear0.8 by noirchan — VRAM 1GB, 32K context

Name: Qwen2.5 Coder 0.5B Mergelinear0.8
Author: noirchan

Qwen2.5 Coder 0.5B Mergelinear0.8 is an open-source language model by noirchan. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2203.05482 Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/noirchan/Qwen2.5-Coder-0.5B_mergelinear0.8

Qwen2.5 Coder 0.5B Mergelinear0.8 Parameters and Internals

LLM Name	Qwen2.5 Coder 0.5B Mergelinear0.8
Repository 🤗	https://huggingface.co/noirchan/Qwen2.5-Coder-0.5B_mergelinear0.8
Merged Model	Yes
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-08-06
Maintainer	noirchan
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB: 1-of-1
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen2.5 Coder 0.5B Mergelinear0.8 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 Qwen2.5 Coder 0.5B Mergelinear0.8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 Coder 0.5B Instruct	32K / 1 GB	97439	74
Qwen 2.5 Coder 0.5B SQL Writer	32K / 1 GB	13	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
Qwen2.5 Coder 0.5B Instruct	32K / 1 GB	5	0
Hammer2.1 0.5B	32K / 1 GB	681	6
...truct PIFT Enja Manywords 8000	32K / 2 GB	17	0
...nstruct MIFT En Manywords 8000	32K / 2 GB	13	0
...truct PIFT Enja Manywords 6000	32K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than noirchan/Qwen2.5-Coder-0.5B_mergelinear0.8.