What are the hardware requirements for EvolCodeLlama 7B?

EvolCodeLlama 7B requires approximately 13.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EvolCodeLlama 7B and how large is it?

EvolCodeLlama 7B is developed by mlabonne, 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 EvolCodeLlama 7B?

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

EvolCodeLlama 7B by mlabonne — VRAM 13.5GB

Name: EvolCodeLlama 7B
Author: mlabonne

EvolCodeLlama 7B is an open-source language model by mlabonne. Features: 7b LLM, VRAM: 13.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.08.

Dataset:mlabonne/evol-instruct... Endpoints compatible Instruct Llama Lora Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/EvolCodeLlama-7b

EvolCodeLlama 7B Parameters and Internals

Model Type

text-generation

Use Cases

Primary Use Cases:

Educational purposes

Limitations:

Not intended for inference

Additional Notes

This model is primarily designed for educational purposes and not recommended for inference.

Training Details

Data Sources:

mlabonne/Evol-Instruct-Python-1k

Methodology:

Fine-tuned using QLoRA (4-bit precision)

Context Length:

2048

Training Time:

1h 11m 44s

Hardware Used:

RTX 3090

LLM Name	EvolCodeLlama 7B
Repository 🤗	https://huggingface.co/mlabonne/EvolCodeLlama-7b
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-30
Maintainer	mlabonne
Instruction-Based	Yes
Model Files	0.2 GB 10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2 0.0 GB
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Is Biased	none
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|v_proj\|k_proj\|q_proj\|down_proj\|gate_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	32

Rank the EvolCodeLlama 7B 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 EvolCodeLlama 7B

Model	Likes	Downloads	VRAM
EvolCodeLlama 7B	0	6	13 GB

Best Alternatives to EvolCodeLlama 7B

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
Mistral 7B Instruct V0.3	32K / 14.5 GB	1122	3
...ralai Mistral 7B Instruct V0.3	32K / 14.5 GB	6	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Full V4 Astromistral Final	32K / 4.5 GB	6	1
Qwen Medical 7B	0K / 15.4 GB	24	0
Mistral 7B Instruct Uz	0K / 14.5 GB	59	15
Acemath Convfinqa	0K / 15.2 GB	6	0
Monarch 1	0K / 14.5 GB	6	2
...phyr 7B Beta Agent Instruct V3	0K / 0.7 GB	2	1

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