Who developed Llama 2 7B Hf Codealpaca 4bit and how large is it?

Llama 2 7B Hf Codealpaca 4bit is developed by MaziyarPanahi, 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 Llama 2 7B Hf Codealpaca 4bit?

Llama 2 7B Hf Codealpaca 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Hf Codealpaca 4bit by MaziyarPanahi

Name: Llama 2 7B Hf Codealpaca 4bit
Author: MaziyarPanahi

Llama 2 7B Hf Codealpaca 4bit is an open-source language model by MaziyarPanahi. Features: 7b LLM, License: llama2, Quantized, LLM Explorer Score: 0.1.

4bit Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-... Code Code-llama Dataset:sahil2801/codealpaca-2... En Finetuned Llama2 Lora Peft Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Llama-2-7b-hf-codealpaca-4bit

Llama 2 7B Hf Codealpaca 4bit Parameters and Internals

Model Type

code, text-generation

Use Cases

Areas:

code generation, text generation

Supported Languages

en (proficient)

Training Details

Data Sources:

sahil2801/CodeAlpaca-20k

Input Output

Input Format:

{instruction} {input}

Accepted Modalities:

text

Output Format:

text response

LLM Name	Llama 2 7B Hf Codealpaca 4bit
Repository 🤗	https://huggingface.co/MaziyarPanahi/Llama-2-7b-hf-codealpaca-4bit
Base Model(s)	Llama 2 7B Hf meta-llama/Llama-2-7b-hf
Model Size	7b
Required VRAM	0 GB
Updated	2026-08-08
Maintainer	MaziyarPanahi
Model Files	0.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Adapter
License	llama2
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8

Rank the Llama 2 7B Hf Codealpaca 4bit 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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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Llama-2-7b-hf-codealpaca-4bit.