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Llama3.2 Gb Safetensor Experiment 16bit by genah

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Llama3.2 Gb Safetensor Experiment 16bit is an open-source language model by genah. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/genah/llama3.2-gb-safetensor-experiment-16bit 

Llama3.2 Gb Safetensor Experiment 16bit Benchmarks

LLME Score: 0.15874
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.2 Gb Safetensor Experiment 16bit (genah/llama3.2-gb-safetensor-experiment-16bit)
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Llama3.2 Gb Safetensor Experiment 16bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (full)
Training Details 
Methodology:
Trained using Unsloth and Huggingface's TRL library
LLM NameLlama3.2 Gb Safetensor Experiment 16bit
Repository 🤗https://huggingface.co/genah/llama3.2-gb-safetensor-experiment-16bit 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2025-09-27
Maintainergenah
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than genah/llama3.2-gb-safetensor-experiment-16bit.

Rank the Llama3.2 Gb Safetensor Experiment 16bit Capabilities

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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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