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RAFT Llama3 Quantized 5epochs 24 06 04 by Vipinap

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RAFT Llama3 Quantized 5epochs 24 06 04 is an open-source language model by Vipinap. Features: 4.7b LLM, VRAM: 5.8GB, Context: 8K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Vipinap/RAFT_llama3_quantized_5epochs_24_06_04 

RAFT Llama3 Quantized 5epochs 24 06 04 Benchmarks

LLME Score: 0.13873
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RAFT Llama3 Quantized 5epochs 24 06 04 (Vipinap/RAFT_llama3_quantized_5epochs_24_06_04)
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RAFT Llama3 Quantized 5epochs 24 06 04 Parameters and Internals

Additional Notes 
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. The model description and other specific sections require more information to be filled in.
LLM NameRAFT Llama3 Quantized 5epochs 24 06 04
Repository 🤗https://huggingface.co/Vipinap/RAFT_llama3_quantized_5epochs_24_06_04 
Model Size4.7b
Required VRAM5.8 GB
Updated2025-09-23
MaintainerVipinap
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Vipinap/RAFT_llama3_quantized_5epochs_24_06_04.

Rank the RAFT Llama3 Quantized 5epochs 24 06 04 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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