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

CodeLlama 13B Instruct Hf requires approximately 26 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 and how large is it?

CodeLlama 13B Instruct Hf is developed by meta-llama, 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?

CodeLlama 13B Instruct Hf 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 by meta-llama — VRAM 26GB, 16K context

Name: CodeLlama 13B Instruct Hf
Author: meta-llama

CodeLlama 13B Instruct Hf is an open-source language model by meta-llama. Features: 13b LLM, VRAM: 26GB, Context: 16K, License: llama2, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

Arxiv:2308.12950 Code Codegen Conversational Endpoints compatible Facebook Instruct Llama Llama2 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/meta-llama/CodeLlama-13b-Instruct-hf

CodeLlama 13B Instruct Hf Parameters and Internals

Model Type

text generation, code synthesis

Use Cases

Areas:

Commercial, Research

Applications:

Code synthesis, Code understanding, Python programming

Primary Use Cases:

Code generation assistance

Limitations:

Use in any manner that violates laws

Considerations:

Responsible Use Guide available at Meta's website.

Additional Notes

The model is designed to be safer with community feedback and will have future versions.

Supported Languages

English (fluent)

Training Details

Data Sources:

Data used in training Llama 2

Methodology:

Trained using optimized transformer architecture; auto-regressive model.

Training Time:

From January 2023 to July 2023

Hardware Used:

A100-80GB GPUs

Model Architecture:

Auto-regressive language model using optimized transformer architecture

Safety Evaluation

Methodologies:

English language testing

Risk Categories:

inaccurate or objectionable responses

Ethical Considerations:

Potential for producing unpredictable outputs.

Responsible Ai Considerations

Mitigation Strategies:

Developers should perform safety testing and tuning tailored to specific applications.

Input Output

Input Format:

Text input

Accepted Modalities:

text

Output Format:

Text output

LLM Name	CodeLlama 13B Instruct Hf
Repository 🤗	https://huggingface.co/meta-llama/CodeLlama-13b-Instruct-hf
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-06
Maintainer	meta-llama
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.5 GB: 3-of-3
Supported Languages	code
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0.dev0
Tokenizer Class	CodeLlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLlama 13B Instruct Hf 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

Best Alternatives	Context / RAM	Downloads	Likes
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
TableLLM 13B	16K / 26 GB	98	34
NexusRaven 13B	16K / 26 GB	37	106
Panda Coder 13B	16K / 26 GB	11	14
... Llama 2 13B Instruct Text2sql	16K / 26 GB	8	28
Gen Sim	16K / 0.3 GB	4	3
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3

Note: green Score (e.g. "73.2") means that the model is better than meta-llama/CodeLlama-13b-Instruct-hf.