What are the hardware requirements for Phibode 1 5 Ultraalpaca?

Phibode 1 5 Ultraalpaca requires approximately 5.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phibode 1 5 Ultraalpaca and how large is it?

Phibode 1 5 Ultraalpaca is developed by recogna-nlp, a model with 1.4b 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 Phibode 1 5 Ultraalpaca?

Phibode 1 5 Ultraalpaca is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phibode 1 5 Ultraalpaca by recogna-nlp — VRAM 5.7GB, 2K context

Name: Phibode 1 5 Ultraalpaca
Author: recogna-nlp

Phibode 1 5 Ultraalpaca is an open-source language model by recogna-nlp. Features: 1.4b LLM, VRAM: 5.7GB, Context: 2K, License: mit, LLM Explorer Score: 0.12.

Endpoints compatible Model-index Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/recogna-nlp/phibode_1_5_ultraalpaca

Phibode 1 5 Ultraalpaca Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Non-commercial use, Educational purposes

Applications:

Language model for Portuguese users

Primary Use Cases:

Text generation in Portuguese

Limitations:

Problems in generating coherent Portuguese text

Additional Notes

Model aims to be accessible for users with limited computational resources.

Supported Languages

Portuguese (Refined for text generation)

Training Details

Data Sources:

UltraAlpaca

Methodology:

Fine-tuning using UltraAlpaca dataset on base model Phi-1.5B

LLM Name	Phibode 1 5 Ultraalpaca
Repository 🤗	https://huggingface.co/recogna-nlp/phibode_1_5_ultraalpaca
Model Size	1.4b
Required VRAM	5.7 GB
Updated	2026-07-07
Maintainer	recogna-nlp
Model Type	phi
Model Files	5.0 GB: 1-of-2 0.7 GB: 2-of-2
Model Architecture	PhiForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.0
Vocabulary Size	51200
Torch Data Type	float32

Rank the Phibode 1 5 Ultraalpaca 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 recogna-nlp/phibode_1_5_ultraalpaca.