What are the hardware requirements for Luciole 8B KD Math Thinking 1.1?

Luciole 8B KD Math Thinking 1.1 requires approximately 16.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Luciole 8B KD Math Thinking 1.1 and how large is it?

Luciole 8B KD Math Thinking 1.1 is developed by OpenLLM-France, a model with 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 Luciole 8B KD Math Thinking 1.1?

Luciole 8B KD Math Thinking 1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Luciole 8B KD Math Thinking 1.1 by OpenLLM-France — VRAM 16.7GB, 32K context

Name: Luciole 8B KD Math Thinking 1.1
Author: OpenLLM-France

Luciole 8B KD Math Thinking 1.1 is an open-source language model by OpenLLM-France. Features: 8b LLM, VRAM: 16.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.26.

Base model:finetune:openllm-fr... Base model:openllm-france/luci... Dataset:openllm-france/luciole... En Fr Nemotron Openllm-france Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OpenLLM-France/Luciole-8B-KD-Math-Thinking-1.1

Luciole 8B KD Math Thinking 1.1 Parameters and Internals

LLM Name	Luciole 8B KD Math Thinking 1.1
Repository 🤗	https://huggingface.co/OpenLLM-France/Luciole-8B-KD-Math-Thinking-1.1
Base Model(s)	OpenLLM-France/Luciole-8B-Base OpenLLM-France/Luciole-8B-Base
Model Size	8b
Required VRAM	16.7 GB
Updated	2026-10-20
Maintainer	OpenLLM-France
Model Type	nemotron
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.8 GB: 3-of-4 1.9 GB: 4-of-4
Supported Languages	fr en
Model Architecture	NemotronForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.3.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	128000

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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

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