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BabyMistral by OEvortex

By OEvortex · 63 downloads

BabyMistral is an open-source language model by OEvortex. Features: 1.6b LLM, VRAM: 0.9GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  Conversational   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Safetensors
Model Card on HF πŸ€—: https://huggingface.co/OEvortex/BabyMistral 

BabyMistral Parameters and Internals

Model Type 
text-generation
Use Cases 
Applications:
Text completion and generation, Creative writing assistance, Dialogue systems, Question answering, Language understanding tasks
Limitations:
May struggle with very specialized or technical domains, Lacks real-time knowledge beyond its training data, Potential for generating plausible-sounding but incorrect information
Supported Languages 
en (proficient)
Training Details 
Data Sources:
1.5 trillion tokens
Data Volume:
1.5 trillion tokens
Methodology:
Trained from scratch
Training Time:
70 days
Hardware Used:
4x NVIDIA A100 GPUs
Model Architecture:
Based on Mistral
Responsible Ai Considerations 
Fairness:
The model may reproduce biases present in its training data.
Mitigation Strategies:
Generated content should be reviewed for accuracy and appropriateness.
LLM NameBabyMistral
Repository πŸ€—https://huggingface.co/OEvortex/BabyMistral 
Model Size1.6b
Required VRAM0.9 GB
Updated2026-08-08
MaintainerOEvortex
Model Typemistral
Model Files  0.9 GB   3.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typebfloat16