What are the hardware requirements for Claire 7B 0.1 Instruct?

Claire 7B 0.1 Instruct requires approximately 7.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Claire 7B 0.1 Instruct is developed by PhilSad, 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 Instruct?

Claire 7B 0.1 Instruct 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 Instruct by PhilSad — VRAM 7.2GB, 2K context

Name: Claire 7B 0.1 Instruct
Author: PhilSad

Claire 7B 0.1 Instruct is an open-source language model by PhilSad. Features: 7b LLM, VRAM: 7.2GB, Context: 2K, License: cc-by-nc-sa-4.0, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.11.

8-bit Base model:openllm-france/clai... Base model:quantized:openllm-f... Bitsandbytes Dataset:philsad/alpaca french ... Endpoints compatible Falcon Finetuned Fr Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PhilSad/Claire-7b-0.1-instruct

Claire 7B 0.1 Instruct Parameters and Internals

Model Type

4 bits PEFT QLORA fine-tuned, Causal Language Model

Use Cases

Areas:

Research, Development

Applications:

Instruction-based text generation, Sentiment classification

Primary Use Cases:

Generating recipes and instructions, Sentiment analysis from text inputs

Additional Notes

Model finetuned on 150 steps using a French dataset adapted from Alpaca instruction data.

Supported Languages

French (NLP Tasks)

Training Details

Data Sources:

tbboukhari/Alpaca_french_instruct

Methodology:

Fine-tuning with 4 bits PEFT QLORA

Training Time:

150 steps

Model Architecture:

Modified from OpenLLM-France/Claire-7B-0.1, fine-tuned with 4 bits PEFT QLORA

Input Output

Input Format:

Prompt-based (instruction and input text structure)

Accepted Modalities:

text

Output Format:

Generated text output

LLM Name	Claire 7B 0.1 Instruct
Repository 🤗	https://huggingface.co/PhilSad/Claire-7b-0.1-instruct
Base Model(s)	OpenLLM-France/Claire-7B-0.1 OpenLLM-France/Claire-7B-0.1
Model Size	7b
Required VRAM	7.2 GB
Updated	2026-07-17
Maintainer	PhilSad
Model Type	falcon
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	fr
Model Architecture	FalconForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.2
Is Biased	0
Vocabulary Size	65024
Torch Data Type	float16

Rank the Claire 7B 0.1 Instruct 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 Claire 7B 0.1 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Claire 7B FR Instruct 0.1	2K / 13.9 GB	11	6
... Openassistant Toxicity Reduce	2K / 30.4 GB	8	0
New Falcon	2K / 4.3 GB	5	1
New Falcon	2K / 4.3 GB	0	0
Falcon 7B Instruct	0K / 14.4 GB	29271	1032
Falcon 7B Instruct Quant	0K / 4 GB	1	1
Falcon 7B Instruct Ft	0K / 13.9 GB	8	0
Falcon 7B Instruct Sharded	0K / 27.7 GB	10197	26
Falcon 7B IT Technical Support	0K / 13.8 GB	14	1
Falcon Tiny Random	0K / 0 GB	170	0

Note: green Score (e.g. "73.2") means that the model is better than PhilSad/Claire-7b-0.1-instruct.