Mistral NeMo

Mistral NeMo

Mistral AI
+
+

Related Products

  • ONLYOFFICE Docs
    706 Ratings
    Visit Website
  • LM-Kit.NET
    23 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • ClickLearn
    66 Ratings
    Visit Website
  • Partful
    17 Ratings
    Visit Website
  • Incredable
    9 Ratings
    Visit Website

About

Mistral NeMo, our new best small model. A state-of-the-art 12B model with 128k context length, and released under the Apache 2.0 license. Mistral NeMo is a 12B model built in collaboration with NVIDIA. Mistral NeMo offers a large context window of up to 128k tokens. Its reasoning, world knowledge, and coding accuracy are state-of-the-art in its size category. As it relies on standard architecture, Mistral NeMo is easy to use and a drop-in replacement in any system using Mistral 7B. We have released pre-trained base and instruction-tuned checkpoints under the Apache 2.0 license to promote adoption for researchers and enterprises. Mistral NeMo was trained with quantization awareness, enabling FP8 inference without any performance loss. The model is designed for global, multilingual applications. It is trained on function calling and has a large context window. Compared to Mistral 7B, it is much better at following precise instructions, reasoning, and handling multi-turn conversations.

About

The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs. We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users looking for a language model tool to power their AI-driven applications

Audience

Developers interested in a small language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/mistral-nemo/

Company Information

TinyLlama
github.com/jzhang38/TinyLlama

Alternatives

Jamba

Jamba

AI21 Labs

Alternatives

Llama 2

Llama 2

Meta
Mistral Small

Mistral Small

Mistral AI
Olmo 2

Olmo 2

Ai2
Mistral 7B

Mistral 7B

Mistral AI
LTM-2-mini

LTM-2-mini

Magic AI

Categories

Categories

Integrations

AI-FLOW
Airtrain
AnythingLLM
Continue
DataChain
Echo AI
Expanse
Groq
HumanLayer
Klee
Lewis
Literal AI
Mathstral
Melies
Noma
Prompt Security
Ruby
StackAI
Verta
Visual Basic

Integrations

AI-FLOW
Airtrain
AnythingLLM
Continue
DataChain
Echo AI
Expanse
Groq
HumanLayer
Klee
Lewis
Literal AI
Mathstral
Melies
Noma
Prompt Security
Ruby
StackAI
Verta
Visual Basic
Claim Mistral NeMo and update features and information
Claim Mistral NeMo and update features and information
Claim TinyLlama and update features and information
Claim TinyLlama and update features and information