What are the hardware requirements for QwenDGAF Coder 1.5B?

QwenDGAF Coder 1.5B 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 QwenDGAF Coder 1.5B and how large is it?

QwenDGAF Coder 1.5B is developed by hecan3d, a model with 1.5b 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 QwenDGAF Coder 1.5B?

QwenDGAF Coder 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwenDGAF Coder 1.5B by hecan3d — VRAM 1GB, 32K context

Name: QwenDGAF Coder 1.5B
Author: hecan3d

QwenDGAF Coder 1.5B is an open-source language model by hecan3d. Features: 1.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Code Code-review Codegen Coding-assistant Conversational En Endpoints compatible Gguf Humor Instruct Lazy-ai Llama-cpp Quantized Qwen2 Qwen2.5-coder Region:us Roleplay Ru Slacker Uncensored Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/hecan3d/QwenDGAF-Coder-1.5B

QwenDGAF Coder 1.5B Parameters and Internals

LLM Name	QwenDGAF Coder 1.5B
Repository 🤗	https://huggingface.co/hecan3d/QwenDGAF-Coder-1.5B
Base Model(s)	Qwen/Qwen2.5-Coder-1.5B-Instruct Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size	1.5b
Required VRAM	1 GB
Updated	2026-10-22
Maintainer	hecan3d
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB 1.0 GB 1.3 GB 1.6 GB
Supported Languages	ru en zh
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the QwenDGAF Coder 1.5B 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 QwenDGAF Coder 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Pepper 1 Preview	32K / 1 GB	350	1
Qwen2.5 Coder 1.5B NL Java	32K / 3.1 GB	16	0
Zirel 1.5	32K / 3.1 GB	18	0
Text2SQL 1.5B	32K / 3.1 GB	14	7
...5 Coder 1.5B Instruct Bnb 4bit	32K / 1.1 GB	14006	3
...en2.5 Coder 1.5B Instruct 4bit	32K / 0.9 GB	2030	2
FastApply 1.5B V1.0	32K / 3.1 GB	915	43
Merge Cord V1	128K / 3.1 GB	155	1
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
Temper 1 1.5B	32K / 3.1 GB	716	0

Note: green Score (e.g. "73.2") means that the model is better than hecan3d/QwenDGAF-Coder-1.5B.