What are the hardware requirements for Phi Bode 2 Ultraalpaca?

Phi Bode 2 Ultraalpaca requires approximately 5.6 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 Phi Bode 2 Ultraalpaca and how large is it?

Phi Bode 2 Ultraalpaca is developed by recogna-nlp, a model with 2.8b 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 Phi Bode 2 Ultraalpaca?

Phi Bode 2 Ultraalpaca is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi Bode 2 Ultraalpaca by recogna-nlp — VRAM 5.6GB, 2K context

Name: Phi Bode 2 Ultraalpaca
Author: recogna-nlp

Phi Bode 2 Ultraalpaca is an open-source language model by recogna-nlp. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: mit, LLM Explorer Score: 0.12.

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

Model Card on HF 🤗: https://huggingface.co/recogna-nlp/phi-bode-2-ultraalpaca

Phi Bode 2 Ultraalpaca Parameters and Internals

Model Type

text-generation

Additional Notes

The model is a fine-tuned version of the Phi-2B model, tailored for the Portuguese language. It encompasses language tasks such as textual generation, reflecting the adaptation capabilities of large language models for specific languages/trained applications.

Supported Languages

Portuguese (primary)

Training Details

Data Sources:

UltraAlpaca, public datasets such as ENEM Challenge, BLUEX, OAB Exams, Assin2, FaQuAD NLI, HateBR, etc.

Methodology:

Fine-tuning

LLM Name	Phi Bode 2 Ultraalpaca
Repository 🤗	https://huggingface.co/recogna-nlp/phi-bode-2-ultraalpaca
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-07-26
Maintainer	recogna-nlp
Model Type	phi
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.6 GB: 3-of-3 2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.6 GB: 3-of-3
Model Architecture	PhiForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.39.1
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float16

Rank the Phi Bode 2 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

Best Alternatives to Phi Bode 2 Ultraalpaca

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	6
MFANN3b	128K / 11.1 GB	86
MFANN3bv1.4	128K / 11.1 GB	8
MFANN Phigments Slerp V3.2	128K / 5.6 GB	6
MFANN3bv1.3	128K / 11.1 GB	14
MFANN3bv0.23	128K / 11.1 GB	10
MFANN3bv1.1	128K / 11.1 GB	10
MFANN3bv1.5	128K / 11.1 GB	8
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7

Note: green Score (e.g. "73.2") means that the model is better than recogna-nlp/phi-bode-2-ultraalpaca.