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

CodeLlama 13B Python 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 Python Hf and how large is it?

CodeLlama 13B Python Hf is developed by codellama, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does CodeLlama 13B Python Hf perform on standard benchmarks?

CodeLlama 13B Python Hf has the following published scores: MMLU 27.23, HumanEval (Python) 42.89. Compare against reference models on this page or on the LLM Explorer leaderboards.

CodeLlama 13B Python Hf by codellama — VRAM 26GB, 16K context

Name: CodeLlama 13B Python Hf
Author: codellama

CodeLlama 13B Python Hf is an open-source language model by codellama. Features: 13b LLM, VRAM: 26GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.14, Arc: 32.6, HellaSwag: 43.9, MMLU: 27.2, GSM8K: 8.6, HumanEval: 42.9.

Arxiv:2308.12950 Code Codegen Deploy:azure Endpoints compatible Llama Llama2 Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/codellama/CodeLlama-13b-Python-hf

CodeLlama 13B Python Hf Benchmarks

ARC: 32.59 vs 96.7 (so35)^-66.3%

HellaSwag: 43.94 vs 95.3 (gpt4)^-53.9%

MMLU: 27.23 vs 88.3 (so35)^-69.2%

GSM8K: 8.64 vs 96.4 (so35)^-91%

HumanEvalA: 28.67

Python Eva: 42.89 vs 92 (so35)^-53.4%

Java Eval: 33.56

Javascript: 40.66

Racket Eva: 12.51

Rust Eval: 29.32

Swift Eval: 25.85

LLME Score: 0.14215

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

CodeLlama 13B Python Hf (codellama/CodeLlama-13b-Python-hf)

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CodeLlama 13B Python Hf Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Commercial

Primary Use Cases:

General code synthesis and understanding, Python programming language handling

Limitations:

Not tested for all scenarios, May produce inaccurate or objectionable responses

Considerations:

Users should be aware of potential unpredictable outputs and conduct safety testing.

Additional Notes

Designed for general code synthesis and understanding with a specialization in Python.

Training Details

Hardware Used:

Type A100-80GB

Model Architecture:

Auto-regressive language model optimized with transformer architecture

Responsible Ai Considerations

Mitigation Strategies:

Developers should perform safety testing and tuning tailored to their specific applications of the model.

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Text

LLM Name	CodeLlama 13B Python Hf
Repository 🤗	https://huggingface.co/codellama/CodeLlama-13b-Python-hf
Model Size	13b
Required VRAM	26 GB
Updated	2026-05-17
Maintainer	codellama
Model Type	llama
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	32000
Torch Data Type	bfloat16

Quantized Models of the CodeLlama 13B Python Hf

Model	Likes	Downloads	VRAM
CodeLlama 13B Python Fp16	25	466	26 GB

Best Alternatives to CodeLlama 13B Python Hf

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	80	470
CodeLlama 13B Instruct Hf	16K / 26 GB	4666	160
CodeLlama 13B MORepair	16K / 26 GB	12	2
CodeLlama 13B Hf	16K / 26 GB	2455	117
CodeLlama 13B Instruct Hf	16K / 26 GB	2861	28
Tora Code 13B V1.0	16K / 26 GB	938	15
...ma 13B Hf Truncated Embeddings	16K / 52.3 GB	5	0
...ma Airoboros Orca Platypus 13B	16K / 26 GB	996	0
CodeLlama 13B Hf	16K / 26 GB	1161	0
...lama Dolphin Orca Platypus 13B	16K / 26 GB	1024	2

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

Rank the CodeLlama 13B Python Hf Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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CodeLlama 13B Python Hf by codellama