What are the hardware requirements for CodeLlama 13B Instruct Hf 4bit MLX?

CodeLlama 13B Instruct Hf 4bit MLX requires approximately 7.8 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 13B Instruct Hf 4bit MLX and how large is it?

CodeLlama 13B Instruct Hf 4bit MLX is developed by mlx-community, a model with 13b 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 13B Instruct Hf 4bit MLX?

CodeLlama 13B Instruct Hf 4bit MLX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 13B Instruct Hf 4bit MLX by mlx-community — VRAM 7.8GB, 16K context

Name: CodeLlama 13B Instruct Hf 4bit MLX
Author: mlx-community

CodeLlama 13B Instruct Hf 4bit MLX is an open-source language model by mlx-community. Features: 13b LLM, VRAM: 7.8GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.11.

4bit Code Codegen Instruct Llama Llama2 Mlx Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX

CodeLlama 13B Instruct Hf 4bit MLX Parameters and Internals

Model Type

text generation

Additional Notes

This model was converted to MLX format from the original CodeLlama-13b-Instruct-hf model.

LLM Name	CodeLlama 13B Instruct Hf 4bit MLX
Repository 🤗	https://huggingface.co/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX
Model Size	13b
Required VRAM	7.8 GB
Updated	2026-07-24
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	7.8 GB
Supported Languages	code
Quantization Type	4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.2
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLlama 13B Instruct Hf 4bit MLX 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 CodeLlama 13B Instruct Hf 4bit MLX

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
...13B Instruct Nf4 Fp16 Upscaled	16K / 26 GB	6	0
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Instruct Hf	16K / 26 GB	369	29
TableLLM 13B	16K / 26 GB	98	34
CodeLlama 13B Instruct GGUF	16K / 5.4 GB	611	2
NexusRaven 13B	16K / 26 GB	37	106
CodeLlama 13B Instruct AWQ	16K / 7.2 GB	261	9

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX.