What are the hardware requirements for CodeLlama 7B Hf?

CodeLlama 7B Hf requires approximately 13.5 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 Hf and how large is it?

CodeLlama 7B Hf is developed by meta-llama, 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 Hf?

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

CodeLlama 7B Hf by meta-llama — VRAM 13.5GB, 16K context

Name: CodeLlama 7B Hf
Author: meta-llama

CodeLlama 7B Hf is an open-source language model by meta-llama. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.13.

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

Model Card on HF 🤗: https://huggingface.co/meta-llama/CodeLlama-7b-hf

CodeLlama 7B Hf Parameters and Internals

Model Type

text generation

Use Cases

Areas:

commercial, research

Applications:

code synthesis, code understanding

Primary Use Cases:

Python programming, code generation

Limitations:

Use outside of English language, Violate laws, Use contrary to Llama License

Considerations:

Developers should perform safety testing before deployment.

Additional Notes

Future versions will include improvements via community feedback.

Supported Languages

English (full), Programming languages (relevant)

Training Details

Data Sources:

same as Llama 2

Data Volume:

unknown

Methodology:

custom training libraries

Context Length:

4096

Training Time:

unknown

Hardware Used:

Meta’s Research Super Cluster with A100-80GB GPUs

Model Architecture:

optimized transformer architecture

Safety Evaluation

Risk Categories:

misinformation, bias

Ethical Considerations:

Model outputs may be inaccurate or objectionable.

Responsible Ai Considerations

Fairness:

Not all biases can be mitigated.

Transparency:

Model may produce unexpected outputs.

Accountability:

Licensees are responsible for their use.

Mitigation Strategies:

Developers advised to perform safety testing and tuning.

Input Output

Input Format:

text only

Accepted Modalities:

text

Output Format:

text only

Performance Tips:

Use Python variants for Python-specific tasks.

LLM Name	CodeLlama 7B Hf
Repository 🤗	https://huggingface.co/meta-llama/CodeLlama-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-04
Maintainer	meta-llama
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Supported Languages	code
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.33.0.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 7B 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

Quantized Models of the CodeLlama 7B Hf

Model	Likes	Downloads	VRAM
CodeLlama 7B Java 16bit	0	10	13 GB

Best Alternatives to CodeLlama 7B Hf

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Hf	16K / 13.5 GB	254150	377
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Wizardllama 7B	16K / 13.5 GB	48	0
GoLLIE 7B	16K / 40.5 GB	2779	32
Codellama 7B Hf ReFT GSM8k	16K / 13.5 GB	459	1
MathCoder2 CodeLlama 7B	16K / 13.5 GB	10	5
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeLlama 7B Python Hf	16K / 13.5 GB	1935	146

Note: green Score (e.g. "73.2") means that the model is better than meta-llama/CodeLlama-7b-hf.