Who developed Vigogne Opt 6.7B Instruct and how large is it?

Vigogne Opt 6.7B Instruct is developed by bofenghuang, a model with 6.7b 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 Vigogne Opt 6.7B Instruct?

Vigogne Opt 6.7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vigogne Opt 6.7B Instruct by bofenghuang

Name: Vigogne Opt 6.7B Instruct
Author: bofenghuang

Vigogne Opt 6.7B Instruct is an open-source language model by bofenghuang. Features: 6.7b LLM, License: openrail, Instruction-Based, LLM Explorer Score: 0.06.

Alpaca Dataset:tatsu-lab/alpaca Fr Instruct Lora Opt Region:us Tensorboard

Model Card on HF 🤗: https://huggingface.co/bofenghuang/vigogne-opt-6.7b-instruct

Vigogne Opt 6.7B Instruct Benchmarks

LLME Score: 0.06451

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Vigogne Opt 6.7B Instruct (bofenghuang/vigogne-opt-6.7b-instruct)

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Vigogne Opt 6.7B Instruct Parameters and Internals

Model Type

text generation

Use Cases

Limitations:

Model may generate biased or harmful content.

Additional Notes

This repo only contains the low-rank adapter. Base LLM model and tokenizer needed.

Supported Languages

French (high proficiency)

Training Details

Data Sources:

tatsu-lab/stanford_alpaca

Methodology:

fine-tuning

Input Output

Input Format:

Pre-trained OPT model for input

Accepted Modalities:

text

Output Format:

text generation

LLM Name	Vigogne Opt 6.7B Instruct
Repository 🤗	https://huggingface.co/bofenghuang/vigogne-opt-6.7b-instruct
Model Size	6.7b
Required VRAM	0 GB
Updated	2026-04-26
Maintainer	bofenghuang
Instruction-Based	Yes
Model Files	0.0 GB
Supported Languages	fr
Model Architecture	AutoModel
License	openrail
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Best Alternatives to Vigogne Opt 6.7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...pseek Coder 6.7B Instruct GGUF	0K / 2.8 GB	42046	237
Magicoder S DS 6.7B GGUF	0K / 2.8 GB	886	76

Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-opt-6.7b-instruct.

Rank the Vigogne Opt 6.7B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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