labrak yanis

PhD Student in Speech Processing Applied to Medical Domain at Laboratoire Informatique d'Avignon / Avignon University / Zenidoc

[VantageLeaps @DataInsightEdg]

How I Built a Medical RAG Chatbot Using BioMistral|Langchain | FREE Colab|ALL OPENSOURCE #ai
https://t.co/1fhAbLClXr

[Harper Carroll @HarperSCarroll]

BioMistral is the new open-source model for medical domains. It has a completely free license, without concern for royalties.

Use it yourself - with no-code needed - using the guide below.

We are entering an era of domain-specialized, free models.

[Big Ben @KenyanHustler]

BioMistral https://t.co/r0gFJ8QIGf

[Rachel V @RachelVT42]

@raider99k Yeah.

BioMistral seems pretty cool too:

https://t.co/NLftIUGcNO

[AILAB @ailab_sh]

#LLM BioMistral is a new 7B foundation model for medical domains, based on Mistral and further trained PubMed Central. - top open-source medical Large Language Model (LLM) in its weight class - Apache License - https://t.co/6vZBBe3ve1

[Stephen Turner 🦋 @stephenturner.us @strnr]

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains - https://t.co/YtsVepSz5s 🧬🖥️ https://t.co/PoATrhU18B

[OpenLLMLeaders @OpenLLMLeaders]

New model added to the leaderboard!

Model Name
https://t.co/ZeRFZhBrw7

Overall rank: 2697
Rank in 7B category: 1190

Benchmarks
Average: 52.33
ARC: 54.27
HellaSwag: 79.09
MMLU: 55.56
TruthfulQA: 51.61
Winogrande: 73.48
GSM8K: 0.0

[OpenLLMLeaders @OpenLLMLeaders]

New model added to the leaderboard!

Model Name
https://t.co/6WlNZg2irg

Overall rank: 2051
Rank in 7B category: 1053

Benchmarks
Average: 57.03
ARC: 58.28
HellaSwag: 79.87
MMLU: 57.34
TruthfulQA: 55.61
Winogrande: 76.09
GSM8K: 15.01

[OpenLLMLeaders @OpenLLMLeaders]

New model added to the leaderboard!

Model Name
https://t.co/Dqe4fvTwqC

Overall rank: 2622
Rank in 7B category: 1163

Benchmarks
Average: 52.91
ARC: 55.46
HellaSwag: 79.59
MMLU: 56.29
TruthfulQA: 52.2
Winogrande: 73.72
GSM8K: 0.23

[Natural Language Processing Papers @HEI]

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains. https://t.co/1GR763NHtc

[Andrij David @AndrijDavid]

This development is not just about advancing healthcare through AI but also democratizing access to cutting-edge technology. With BioMistral's release, the potential for enhancing medical research, diagnostics, and patient care is immense, underscoring the critical role of OS.

[Andrij David @AndrijDavid]

This model's multilingual capabilities further extend its reach, promising to bridge language barriers in medical knowledge dissemination. As we embrace models like BioMistral, the future of healthcare looks not just more intelligent but more inclusive.
#HealthcareInnovation

[歸藏(guizang.ai) @op7418]

BioMistral基于Mistral微调的医学领域 7B 模型，包括基本模型、微调和量化版本。

[Daniel van Strien @vanstriendaniel]

@huggingface org: https://t.co/aq728QtcFK
Base model: https://t.co/0N753ZAE7m
Paper: https://t.co/Ed059ZcRS1

[Andrij David @AndrijDavid]

BioMistral https://t.co/AqVGEeLFyd just came out last week. It is an open-source multilingual Large Language Model (LLM) specifically designed for the medical domain. It is based on the robust foundation of Mistral and further pre-trained on PubMed Central.
#AI #OpenSource

[David Mezzetti @DavidMezzetti]

Very interesting for those in the medical space. Models also available on the Hugging Face Hub.

HF Page: https://t.co/c4nVjsyEth
Paper: https://t.co/SLbrHpDb6v

[Bart de Witte @OpenMedFuture]

BioMistral 7B just arrived!

A Multilingual Medical LLM for the medical domain. BioMistral's multilingual potential and robustness across diverse linguistic contexts, with a focus on truthfulness and calibration in multilingual environments. The 7B model surpasses all competitive open-source medical LLMs within the same 7B category on a benchmark consisting of 10 medical question answering tasks in English and automatically translated into 7 additional languages (French, Italian, German, Chinese, Arabic, Spanish, and Portuguese).

Check out the:

- BioMistral 7B : https://t.co/ykWoRKnddV
- BioMistral 7B DARE 🍄 : https://t.co/r8dAgIIkFI
- AWQ Quantized models (less than 4.68 GB of VRAM with not performance degradation) : https://t.co/ZLef6j4tci
- 📊 Benchmark : https://t.co/n3VeB7QdoJ
- Paper: https://t.co/cTRNteDtpT

Let's give the contributors to the open source sphere a big 👏 @LabrakYanis @r_dufour @AdrienBazoge @CNRSinformatics @LaboLS2N @taln_ls2n

#BioMistral #MedicalLLM #Multilingual #NLP

[labrak yanis @LabrakYanis]

@vanstriendaniel Thank you for your support!

[Richard Dufour @r_dufour]

🚀 🏥 Very proud to announce BioMistral, a collection of open-source pre-trained LLMs for the medical domain

📰Arxiv: https://t.co/Zarwhb807S
🏥 BioMistral 7B model: https://t.co/h00IOmXC66

More info: https://t.co/eiFj4bk8b5

@CNRSinformatics @LaboLS2N @taln_ls2n @LabrakYanis

[Daniel van Strien @vanstriendaniel]

BioMistral is a new 7B foundation model for medical domains, based on Mistral and further trained PubMed Central.
- top open-source medical Large Language Model (LLM) in its weight class
- Apache License
- includes base models, fine tunes, and quantized versions.