What are the hardware requirements for Llama 2 Coder 7B GGUF?

Llama 2 Coder 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 Llama 2 Coder 7B GGUF and how large is it?

Llama 2 Coder 7B GGUF is developed by TheBloke, a model with 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 Llama 2 Coder 7B GGUF?

Llama 2 Coder 7B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 Coder 7B GGUF by TheBloke — VRAM 2.8GB

Name: Llama 2 Coder 7B GGUF
Author: TheBloke

Llama 2 Coder 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.09.

Base model:mrm8488/llama-2-cod... Base model:quantized:mrm8488/l... Code Codegen Coding Dataset:huggingfaceh4/codealpa... Generated from trainer Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-Coder-7B-GGUF

Llama 2 Coder 7B GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

This model is fine-tuned on the CodeAlpaca 20k instructions dataset using QLoRA methodology.

Training Details

Data Sources:

HuggingFaceH4/CodeAlpaca_20K

Input Output

Input Format:

Prompt with instructions and solution markup

LLM Name	Llama 2 Coder 7B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-Coder-7B-GGUF
Model Creator	mrm8488
Base Model(s)	Llama 2 Coder 7B mrm8488/llama-2-coder-7b
Model Size	7b
Required VRAM	2.8 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	llama
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
Supported Languages	code
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	AutoModel
License	apache-2.0

Rank the Llama 2 Coder 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

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CodeLlama 7B Instruct GGUF	0K / 2.8 GB	12397	148
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Oveu 1.1 8B	0K / 0.3 GB	42	1
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-Coder-7B-GGUF.