What are the hardware requirements for Barcenas 2.7B?

Barcenas 2.7B requires approximately 5.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Barcenas 2.7B and how large is it?

Barcenas 2.7B is developed by Danielbrdz, a model with 2.7b 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 Barcenas 2.7B?

Barcenas 2.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Barcenas 2.7B by Danielbrdz — VRAM 5.6GB

Name: Barcenas 2.7B
Author: Danielbrdz

Barcenas 2.7B is an open-source language model by Danielbrdz. Features: 2.7b LLM, VRAM: 5.6GB, License: other, LLM Explorer Score: 0.1.

Custom code En Endpoints compatible Phi-msft Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/Danielbrdz/Barcenas-2.7b

Barcenas 2.7B Parameters and Internals

Model Type

small language model (SLM)

Use Cases

Areas:

research, commercial applications, education, general communication

Applications:

question answering, code generation, natural chat

Additional Notes

Barcenas 2.7b incorporates features from the phi-2-NaturalChat model, which is fine-tuned for natural and engaging chat conversations based on GPT-4.

Supported Languages

en (full)

LLM Name	Barcenas 2.7B
Repository 🤗	https://huggingface.co/Danielbrdz/Barcenas-2.7b
Model Size	2.7b
Required VRAM	5.6 GB
Updated	2026-10-15
Maintainer	Danielbrdz
Model Type	phi-msft
Model Files	5.6 GB
Supported Languages	en
Model Architecture	PhiForCausalLM
License	other
Model Max Length	2048
Transformers Version	4.35.0.dev0
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float16
Activation Function	gelu_new

Rank the Barcenas 2.7B 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 Barcenas 2.7B

Best Alternatives	Context / RAM	Downloads	Likes
PhigRange DPO	2K / 5.6 GB	12	1
PhigRange 2.7B Slerp	2K / 5.6 GB	7	0
Damysus 2.7B Chat	2K / 11.1 GB	68	4
JSL MedPhi2 2.7B	2K / 5.6 GB	25	3
Speculor 2.7B	2K / 5.6 GB	6	2
...atural Language To Cypher 2.7B	2K / 5.6 GB	7	0
Codephi 2.7B	2K / 5.6 GB	5	0
Phi 2.7B MERGED	0K / 5.6 GB	5	0
Samanthav2 2.7B	0K / 5.6 GB	3	1
Damysus 2.7B Chat GGUF	2K / 1.7 GB	160	0

Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-2.7b.