What are the hardware requirements for Magicoder S DS 6.7B GGUF?

Magicoder S DS 6.7B GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Magicoder S DS 6.7B GGUF and how large is it?

Magicoder S DS 6.7B GGUF is developed by TheBloke, a model with 6.7b 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 Magicoder S DS 6.7B GGUF?

Magicoder S DS 6.7B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magicoder S DS 6.7B GGUF by TheBloke — VRAM 2.8GB

Name: Magicoder S DS 6.7B GGUF
Author: TheBloke

Magicoder S DS 6.7B GGUF is an open-source language model by TheBloke. Features: 6.7b LLM, VRAM: 2.8GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Arxiv:2305.06161 Arxiv:2312.02120 Base model:ise-uiuc/magicoder-... Base model:quantized:ise-uiuc/... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Deepseek Gguf Instruct Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Magicoder-S-DS-6.7B-GGUF

Magicoder S DS 6.7B GGUF Parameters and Internals

Model Type

deepseek

Use Cases

Areas:

coding tasks

Limitations:

May not work well in non-coding tasks, May make errors, produce misleading contents

Considerations:

Users should be aware of risks, biases, limitations.

Additional Notes

Magicoder models are trained on synthetic data generated by OpenAI models. Pay attention to OpenAI's terms of use.

Training Details

Data Sources:

Magicoder-OSS-Instruct-75K, Magicoder-Evol-Instruct-110K

Methodology:

OSS-Instruct

Input Output

Input Format:

You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions. @@ Instruction {instruction} @@ Response

LLM Name	Magicoder S DS 6.7B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Magicoder-S-DS-6.7B-GGUF
Model Name	Magicoder S DS 6.7B
Model Creator	Intellligent Software Engineering (iSE
Base Model(s)	ise-uiuc/Magicoder-S-DS-6.7B ise-uiuc/Magicoder-S-DS-6.7B
Model Size	6.7b
Required VRAM	2.8 GB
Updated	2026-07-21
Maintainer	TheBloke
Model Type	deepseek
Instruction-Based	Yes
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Magicoder S DS 6.7B 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 Magicoder S DS 6.7B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...pseek Coder 6.7B Instruct GGUF	0K / 2.8 GB	29540	249
Vigogne Opt 6.7B Instruct	0K / 0 GB	0	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Magicoder-S-DS-6.7B-GGUF.