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Mini Llama 70M SFT COT by rootxhacker

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Mini Llama 70M SFT COT is an open-source language model by rootxhacker. Features: 70m LLM, VRAM: 0.3GB, Context: 0.3K, LLM Explorer Score: 0.19.

  Llama   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-COT 

Mini Llama 70M SFT COT Benchmarks

LLME Score: 0.19296
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mini Llama 70M SFT COT (rootxhacker/mini-Llama-70M-SFT-COT)
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Mini Llama 70M SFT COT Parameters and Internals

LLM NameMini Llama 70M SFT COT
Repository 🤗https://huggingface.co/rootxhacker/mini-Llama-70M-SFT-COT 
Model Size70m
Required VRAM0.3 GB
Updated2025-09-19
Maintainerrootxhacker
Model Typellama
Model Files  0.3 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length256
Model Max Length256
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Rank the Mini Llama 70M SFT COT 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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