What are the hardware requirements for Alpaca 7B Fullft?

Alpaca 7B Fullft requires approximately 27.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpaca 7B Fullft and how large is it?

Alpaca 7B Fullft is developed by foo-barrr, 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 Alpaca 7B Fullft?

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

Alpaca 7B Fullft by foo-barrr — VRAM 27.1GB, 4K context

Name: Alpaca 7B Fullft
Author: foo-barrr

Alpaca 7B Fullft is an open-source language model by foo-barrr. Features: 7b LLM, VRAM: 27.1GB, Context: 4K, License: llama2, LLM Explorer Score: 0.19.

Arxiv:1910.09700 Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/foo-barrr/alpaca-7b-fullft

Alpaca 7B Fullft Parameters and Internals

LLM Name	Alpaca 7B Fullft
Repository 🤗	https://huggingface.co/foo-barrr/alpaca-7b-fullft
Model Size	7b
Required VRAM	27.1 GB
Updated	2026-08-04
Maintainer	foo-barrr
Model Type	llama
Model Files	4.8 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 2.7 GB: 6-of-6
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float32

Rank the Alpaca 7B Fullft 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 foo-barrr/alpaca-7b-fullft.