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Mistralai Mistral Nemo Instruct 2407 by SillyTilly

By SillyTilly · 99682 downloads

Mistralai Mistral Nemo Instruct 2407 is an open-source language model by SillyTilly. Features: 12.2b LLM, VRAM: 24.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

  Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Ja   Mistral   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh

Mistralai Mistral Nemo Instruct 2407 Parameters and Internals

Model Type 
instruction-tuned, LLM
Use Cases 
Areas:
Research, Commercial Applications
Considerations:
Lacks moderation mechanisms.
Additional Notes 
The model serves as a demonstration of fine-tuning capabilities, aiming to achieve high performance without integrated moderation mechanisms.
Supported Languages 
en (Supported), fr (Supported), de (Supported), es (Supported), it (Supported), pt (Supported), ru (Supported), zh (Supported), ja (Supported)
Training Details 
Methodology:
Instruct fine-tuned
Context Length:
128000
Model Architecture:
Transformer
Responsible Ai Considerations 
Mitigation Strategies:
Currently lacks moderation mechanisms.
LLM NameMistralai Mistral Nemo Instruct 2407
Repository πŸ€—https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Instruct-2407 
Model Size12.2b
Required VRAM24.5 GB
Updated2026-07-18
MaintainerSillyTilly
Instruction-BasedYes
Model Files  24.5 GB   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size131072