What are the hardware requirements for OpenCodeInterpreter DS 6.7B GGUF?

OpenCodeInterpreter DS 6.7B GGUF requires approximately 2.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

OpenCodeInterpreter DS 6.7B GGUF is developed by MaziyarPanahi, 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 OpenCodeInterpreter DS 6.7B GGUF?

OpenCodeInterpreter 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.

OpenCodeInterpreter DS 6.7B GGUF by MaziyarPanahi — VRAM 2.5GB

Name: OpenCodeInterpreter DS 6.7B GGUF
Author: MaziyarPanahi

OpenCodeInterpreter DS 6.7B GGUF is an open-source language model by MaziyarPanahi. Features: 6.7b LLM, VRAM: 2.5GB, Quantized, LLM Explorer Score: 0.11.

Arxiv:2402.14658 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:m-a-p/opencodeinter... Base model:quantized:m-a-p/ope... Code Conversational En Endpoints compatible Gguf Has space Llama Mistral Pytorch Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/OpenCodeInterpreter-DS-6.7B-GGUF

OpenCodeInterpreter DS 6.7B GGUF Parameters and Internals

Model Type

text-generation

LLM Name	OpenCodeInterpreter DS 6.7B GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/OpenCodeInterpreter-DS-6.7B-GGUF
Model Name	OpenCodeInterpreter-DS-6.7B-GGUF
Model Creator	m-a-p
Base Model(s)	m-a-p/OpenCodeInterpreter-DS-6.7B m-a-p/OpenCodeInterpreter-DS-6.7B
Model Size	6.7b
Required VRAM	2.5 GB
Updated	2026-07-30
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	2.5 GB 3.6 GB 3.3 GB 3.0 GB 4.1 GB 3.9 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the OpenCodeInterpreter 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 OpenCodeInterpreter DS 6.7B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...pseek Coder 6.7B Instruct GGUF	0K / 2.8 GB	29540	249
Deepseek Coder 6.7B Base GGUF	0K / 2.8 GB	19460	23
...ydecompiler 3.7 6.7B V0.9 GGUF	0K / 2.5 GB	426	0
Magicoder S DS 6.7B GGUF	0K / 2.8 GB	1516	76
Cerebras GPT 6.7B	0K / 26.8 GB	251	65
Alpaca Cerebras 6.7B	0K / 0 GB	0	3
Vigogne Opt 6.7B Instruct	0K / 0 GB	0	2

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