What are the hardware requirements for Cria Llama2 7B V1.3 Peft?

Cria Llama2 7B V1.3 Peft requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cria Llama2 7B V1.3 Peft and how large is it?

Cria Llama2 7B V1.3 Peft is developed by davzoku, 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 Cria Llama2 7B V1.3 Peft perform on standard benchmarks?

Cria Llama2 7B V1.3 Peft has the following published scores: MMLU 46.47. Compare against reference models on this page or on the LLM Explorer leaderboards.

Cria Llama2 7B V1.3 Peft by davzoku — VRAM 0.1GB

Name: Cria Llama2 7B V1.3 Peft
Author: davzoku

Cria Llama2 7B V1.3 Peft is an open-source language model by davzoku. Features: 7b LLM, VRAM: 0.1GB, License: llama2, Code Generating, LLM Explorer Score: 0.11, Arc: 51.5, HellaSwag: 77.4, MMLU: 46.5, GSM8K: 6.8.

Adapter Codegen Dataset:mlabonne/codellama-2-2... En Finetuned Llama2 Lora Peft Region:us

Model Card on HF 🤗: https://huggingface.co/davzoku/cria-llama2-7b-v1.3_peft

Cria Llama2 7B V1.3 Peft Parameters and Internals

Model Type

text-generation

Additional Notes

The model serves as the backbone for the CRIA chat platform, offering rapid prototyping of an intelligent app using open-source resources.

Training Details

Data Sources:

mlabonne/CodeLlama-2-20k

Methodology:

fine-tuned with QLoRA (4-bit precision)

Hardware Used:

Google Colab T4 GPU, high RAM

Release Notes

Version:

v1.3

Notes:

CRIA v1.3 comes with several variants. The model has been fine-tuned with QLoRA and uses the mlabonne/CodeLlama-2-20k dataset.

LLM Name	Cria Llama2 7B V1.3 Peft
Repository 🤗	https://huggingface.co/davzoku/cria-llama2-7b-v1.3_peft
Model Size	7b
Required VRAM	0.1 GB
Updated	2026-06-07
Maintainer	davzoku
Model Type	llama
Model Files	0.1 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Adapter
License	llama2
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.1
R Param	64

Rank the Cria Llama2 7B V1.3 Peft 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

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Code Llama 7B Chatbot	0K / 1.1 GB	6	0
...10 2024 06 23 10 41 40 3558636	0K / 0.6 GB	5	0
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Mistral 7b 3Epoch DolphinCoder	0K / 0.1 GB	8	0
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Code Llama 7B Text To Sql	0K / 1.8 GB	10	4

Note: green Score (e.g. "73.2") means that the model is better than davzoku/cria-llama2-7b-v1.3_peft.