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Mistralai Mistral Nemo Base 2407 by SillyTilly

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Mistralai Mistral Nemo Base 2407 is an open-source language model by SillyTilly. Features: 12.2b LLM, VRAM: 24.5GB, License: apache-2.0, LLM Explorer Score: 0.14.

  De   En   Endpoints compatible   Es   Fr   It   Ja   Mistral   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Base-2407 

Mistralai Mistral Nemo Base 2407 Benchmarks

LLME Score: 0.141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistralai Mistral Nemo Base 2407 (SillyTilly/mistralai_Mistral-Nemo-Base-2407)
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Mistralai Mistral Nemo Base 2407 Parameters and Internals

Model Type 
generative, transformer
Additional Notes 
Mistral-Nemo-Base-2407 is a pretrained base model without moderation mechanisms.
Supported Languages 
en (Proficient), fr (Proficient), de (Proficient), es (Proficient), it (Proficient), pt (Proficient), ru (Proficient), zh (Proficient), ja (Proficient)
Training Details 
Methodology:
Pre-trained generative text model using a 128k context window and trained on a large proportion of multilingual and code data.
Context Length:
128000
Model Architecture:
Transformer model with 40 layers, dimension 5,120, head dimension 128, hidden dimension 14,436, SwiGLU activation function, 32 heads, 8 kv-heads, vocabulary size 128k with rotary embeddings (theta = 1M).
LLM NameMistralai Mistral Nemo Base 2407
Repository 🤗https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Base-2407 
Model Size12.2b
Required VRAM24.5 GB
Updated2026-05-12
MaintainerSillyTilly
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

Best Alternatives to Mistralai Mistral Nemo Base 2407

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Context / RAM
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Nemo Sunfall V0.6.10K / 24.5 GB147
...stralai Mistral Nemo Base 24070K / 24.5 GB70
Mistral Nemo Base 2407 Chatml0K / 24.5 GB395
...lai Mistral Nemo Instruct 24070K / 24.5 GB531
Mistral Nemo Base 2407 Chatml0K / 24.5 GB133
Note: green Score (e.g. "73.2") means that the model is better than SillyTilly/mistralai_Mistral-Nemo-Base-2407.

Rank the Mistralai Mistral Nemo Base 2407 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

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