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Bellatrix Tiny 1B V3 by prithivMLmods

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Bellatrix Tiny 1B V3 is an open-source language model by prithivMLmods. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.17.

  1e-05 Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   Cosine   Cot Dataset:magpie-align/magpie-re... Dataset:magpie-align/magpie-re... Dataset:ngxson/minithinky-data... Dataset:prithivmlmods/deepthin...   En   Endpoints compatible   Instruct   Llama   Llama3.2   Onnx   Reason   Region:us   Safetensors   Tiny   V3
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Bellatrix-Tiny-1B-v3 

Bellatrix Tiny 1B V3 Benchmarks

LLME Score: 0.17299
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bellatrix Tiny 1B V3 (prithivMLmods/Bellatrix-Tiny-1B-v3)
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Bellatrix Tiny 1B V3 Parameters and Internals

LLM NameBellatrix Tiny 1B V3
Repository 🤗https://huggingface.co/prithivMLmods/Bellatrix-Tiny-1B-v3 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM4.9 GB
Updated2026-05-24
MaintainerprithivMLmods
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat32

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Llama 3.2 1B Instruct128K / 2.5 GB70
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB7950
Llama3.2 1B FantasySciFi128K / 2.5 GB3040
Llama 3.2 1B Instruct128K / 2.5 GB15769192
Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
Llama Nexora Vector V0.1128K / 2.5 GB361
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Bellatrix-Tiny-1B-v3.

Rank the Bellatrix Tiny 1B V3 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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