What are the hardware requirements for CodeLlama 7B Instruct Hf 8bits Q?

CodeLlama 7B Instruct Hf 8bits Q requires approximately 4.2 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CodeLlama 7B Instruct Hf 8bits Q and how large is it?

CodeLlama 7B Instruct Hf 8bits Q is developed by AAProject, 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 CodeLlama 7B Instruct Hf 8bits Q?

CodeLlama 7B Instruct Hf 8bits Q is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 7B Instruct Hf 8bits Q by AAProject — VRAM 4.2GB, 16K context

Name: CodeLlama 7B Instruct Hf 8bits Q
Author: AAProject

CodeLlama 7B Instruct Hf 8bits Q is an open-source language model by AAProject. Features: 7b LLM, VRAM: 4.2GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

Arxiv:1910.09700 4-bit Bitsandbytes Codegen Conversational Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AAProject/CodeLlama-7b-Instruct-hf-8bits-Q

CodeLlama 7B Instruct Hf 8bits Q Parameters and Internals

LLM Name	CodeLlama 7B Instruct Hf 8bits Q
Repository 🤗	https://huggingface.co/AAProject/CodeLlama-7b-Instruct-hf-8bits-Q
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-09-19
Maintainer	AAProject
Model Type	llama
Instruction-Based	Yes
Model Files	4.2 GB
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.42.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32016
Torch Data Type	float16

Rank the CodeLlama 7B Instruct Hf 8bits Q 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

Quantized Models of the CodeLlama 7B Instruct Hf 8bits Q

Model	Likes	Downloads	VRAM
...eLlama 7B Instruct Hf 4bit MLX	3	84	4 GB

Best Alternatives to CodeLlama 7B Instruct Hf 8bits Q

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeV CL 7B	16K / 13.5 GB	430	1
CodeLlama 7B Instruct Hf	16K / 13.5 GB	2313	63
Glaive Coder 7B	16K / 27 GB	85	55
Llama 2 7B Chat Finetune5	16K / 13.8 GB	3	1
...ama 7B Instruct Hf Dequantized	16K / 13.5 GB	197	0
CodeLLama SFT FILTERED	16K / 13.5 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than AAProject/CodeLlama-7b-Instruct-hf-8bits-Q.