What are the hardware requirements for Claire 7B 0.1?

Claire 7B 0.1 requires approximately 13.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Claire 7B 0.1 and how large is it?

Claire 7B 0.1 is developed by OpenLLM-France, a model with 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 Claire 7B 0.1?

Claire 7B 0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Claire 7B 0.1 by OpenLLM-France — VRAM 13.8GB

Name: Claire 7B 0.1
Author: OpenLLM-France

Claire 7B 0.1 is an open-source language model by OpenLLM-France. Features: 7b LLM, VRAM: 13.8GB, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.1.

Arxiv:2311.16840 Base model:finetune:tiiuae/fal... Base model:tiiuae/falcon-7b Conversational Dataset:openllm-france/claire-... Endpoints compatible Falcon Fr Pretrained Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OpenLLM-France/Claire-7B-0.1

Claire 7B 0.1 Parameters and Internals

Model Type

causal decoder, text generation

Use Cases

Areas:

research, conversational applications

Primary Use Cases:

dialogue generation, dialogue understanding

Limitations:

prone to generate dialogues with disfluencies and other constructions common to spoken language

Additional Notes

The model can generate disfluencies and humorous responses as a result of its training on spoken and theatrical text.

Supported Languages

French (native)

Training Details

Data Sources:

OpenLLM-France/Claire-Dialogue-French-0.1

Methodology:

fine-tuning on dialogue generation

Context Length:

2048

Training Time:

50 GPU hours

Hardware Used:

1 A100 80GB GPU

Model Architecture:

decoder-only model

Input Output

Input Format:

dialogue prompts

Accepted Modalities:

text

Output Format:

dialogue text continuations

LLM Name	Claire 7B 0.1
Repository 🤗	https://huggingface.co/OpenLLM-France/Claire-7B-0.1
Base Model(s)	Falcon 7B tiiuae/falcon-7b
Model Size	7b
Required VRAM	13.8 GB
Updated	2026-08-08
Maintainer	OpenLLM-France
Model Type	falcon
Model Files	9.9 GB: 1-of-2 3.9 GB: 2-of-2 9.9 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	fr
Model Architecture	FalconForCausalLM
License	cc-by-nc-sa-4.0
Model Max Length	2048
Transformers Version	4.27.4
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	65024
Torch Data Type	bfloat16

Rank the Claire 7B 0.1 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

Quantized Models of the Claire 7B 0.1

Model	Likes	Downloads	VRAM
Claire 7B 0.1 GGUF	7	895	4 GB
Claire 7B 0.1 AWQ	2	11	4 GB
Claire 7B 0.1 GPTQ	1	3	4 GB

Best Alternatives to Claire 7B 0.1

Best Alternatives	Context / RAM	Downloads	Likes
F1H10M 0000	2K / 13.9 GB	2529	0
Saqr 7B Merged	2K / 13.9 GB	232	1
Claire 7B FR Instruct 0.1	2K / 13.9 GB	11	6
DociproLLM 7B	2K / 27.8 GB	13	0
... Openassistant Toxicity Reduce	2K / 30.4 GB	8	0
F1H10M 0000	2K / 13.9 GB	14	0
Falcon Chatbot	2K / 5.5 GB	4	1
Really Tiny Falcon Testing	2K / 0 GB	9029	2
New Falcon	2K / 4.3 GB	5	1
Claire 7B 0.1 Instruct	2K / 7.2 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than OpenLLM-France/Claire-7B-0.1.