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 codellama, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does CodeLlama 7B Hf perform on standard benchmarks?

CodeLlama 7B Hf has the following published scores: MMLU 31.12, HumanEval (Python) 29.98. Compare against reference models on this page or on the LLM Explorer leaderboards.

CodeLlama 7B Hf by codellama — VRAM 13.5GB, 16K context

Name: CodeLlama 7B Hf
Author: codellama

CodeLlama 7B Hf is an open-source language model by codellama. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: llama2, Code Generating, HF Score: 39.8, LLM Explorer Score: 0.2, Arc: 39.9, HellaSwag: 60.8, MMLU: 31.1, TruthfulQA: 37.8, WinoGrande: 64, GSM8K: 5.2, HumanEval: 30.

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-7b-hf

CodeLlama 7B Hf Benchmarks

ARC: 39.93 vs 96.7 (so35)^-58.7%

HellaSwag: 60.8 vs 95.3 (gpt4)^-36.2%

MMLU: 31.12 vs 88.3 (so35)^-64.8%

TruthfulQA: 37.82 vs 59 (gpt4)^-35.9%

WinoGrande: 64.01 vs 87.5 (gpt4)^-26.8%

GSM8K: 5.16 vs 96.4 (so35)^-94.6%

HumanEvalA: 24.36

Python Eva: 29.98 vs 92 (so35)^-67.4%

Racket Eva: 11.94

Rust Eval: 25.82

Swift Eval: 25.52

LLME Score: 0.20186

^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 7B Hf (codellama/CodeLlama-7b-hf)

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CodeLlama 7B Hf Parameters and Internals

Model Type

text generation, code synthesis, code understanding

Use Cases

Areas:

commercial, research

Applications:

code synthesis, code understanding, code assistant, code generation

Limitations:

use in languages other than English, violations of laws or regulations

Supported Languages

English (fluent), programming languages (relevant)

Training Details

Data Sources:

same data as Llama 2

Hardware Used:

A100-80GB (TDP of 350-400W)

Model Architecture:

Auto-regressive language model with optimized transformer architecture

Safety Evaluation

Ethical Considerations:

Potential outputs cannot be predicted in advance; may produce inaccurate or objectionable responses.

Input Output

Input Format:

text only

Output Format:

text only

LLM Name	CodeLlama 7B Hf
Repository 🤗	https://huggingface.co/codellama/CodeLlama-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-04-20
Maintainer	codellama
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

Quantized Models of the CodeLlama 7B Hf

Model	Likes	Downloads	VRAM
Bachinstruct Codellama7b	1	56	13 GB
CodeLlama 7B GGUF	132	5843	2 GB
Musicllm	0	12	13 GB
CodeLlama 7B AWQ	6	126	3 GB
CodeLlama 7B GGML	27	16	3 GB
CodeLlama 7B GPTQ	14	44	3 GB

Best Alternatives to CodeLlama 7B Hf

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	215811	491
CodeLlama 7B Instruct Hf	16K / 13.5 GB	224984	255
GetCode Slerp	16K / 13.6 GB	139	1
Wizardllama 7B	16K / 13.5 GB	111	0
Codellama 7B Hf ReFT GSM8k	16K / 13.5 GB	864	1
MathCoder2 CodeLlama 7B	16K / 13.5 GB	12	5
CodeLlama 7B Python Hf	16K / 13.5 GB	2488	144
GoLLIE 7B	16K / 40.5 GB	2070	30
Stack Codellama 7B Inst	16K / 13.5 GB	92	0
CodeLlama 7B Instruct Hf	16K / 13.5 GB	2794	59

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

Rank the CodeLlama 7B 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 7B Hf by codellama