What are the hardware requirements for Barcenas 14B Phi 3 Medium ORPO?

Barcenas 14B Phi 3 Medium ORPO requires approximately 28 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 Barcenas 14B Phi 3 Medium ORPO and how large is it?

Barcenas 14B Phi 3 Medium ORPO is developed by Danielbrdz, a model with 14b 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 14B Phi 3 Medium ORPO?

Barcenas 14B Phi 3 Medium ORPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Barcenas 14B Phi 3 Medium ORPO by Danielbrdz — VRAM 28GB, 4K context

Name: Barcenas 14B Phi 3 Medium ORPO
Author: Danielbrdz

Barcenas 14B Phi 3 Medium ORPO is an open-source language model by Danielbrdz. Features: 14b LLM, VRAM: 28GB, Context: 4K, License: mit, LLM Explorer Score: 0.25.

Conversational Dataset:mlabonne/orpo-dpo-mix-... Deploy:azure En Endpoints compatible Mistral Orpo Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO

Barcenas 14B Phi 3 Medium ORPO Parameters and Internals

Additional Notes

Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽

Supported Languages

en (fluent)

Training Details

Data Sources:

mlabonne/orpo-dpo-mix-40k

Methodology:

ORPO

LLM Name	Barcenas 14B Phi 3 Medium ORPO
Repository 🤗	https://huggingface.co/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
Model Size	14b
Required VRAM	28 GB
Updated	2026-08-25
Maintainer	Danielbrdz
Model Type	mistral
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 3.2 GB: 6-of-6
Supported Languages	en
Model Architecture	MistralForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	float16

Rank the Barcenas 14B Phi 3 Medium ORPO capabilities

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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 14B Phi 3 Medium ORPO

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 14B Merge V1	1000K / 24.6 GB	19	0
ColdBrew 12B NemoMix Test0	128K / 24.5 GB	6	0
K2S3 14B V0.2	32K / 28.7 GB	9	0
Wendigo 14B Alpha4	32K / 28.4 GB	1288	0
Qwen1.5 14B Chat Mistral	32K / 28.6 GB	11	4
Mistral 14B Merge Base	32K / 28.4 GB	92	2
Synthetic Minstrel 14B	32K / 27.6 GB	8	3
Wandering Minstrel 14B	32K / 27.6 GB	6	3
Phi 3 Medium 4K Instruct	4K / 28 GB	38	28
SauerkrautLM Phi 3 Medium	4K / 28 GB	8249	9

Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO.