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RAFT Llama3 Version 24.06.01 by Vipinap

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RAFT Llama3 Version 24.06.01 is an open-source language model by Vipinap. Features: 8.2b LLM, VRAM: 5.8GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.13.

  Merged Model   4-bit   Bitsandbytes   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Vipinap/RAFT_llama3_version_24.06.01 

RAFT Llama3 Version 24.06.01 Benchmarks

LLME Score: 0.13341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RAFT Llama3 Version 24.06.01 (Vipinap/RAFT_llama3_version_24.06.01)
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RAFT Llama3 Version 24.06.01 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameRAFT Llama3 Version 24.06.01
Repository 🤗https://huggingface.co/Vipinap/RAFT_llama3_version_24.06.01 
Base Model(s)  RAFT_llama3_version_Merged_24.06.01   /RAFT_llama3_version_Merged_24.06.01
Merged ModelYes
Model Size8.2b
Required VRAM5.8 GB
Updated2026-05-23
MaintainerVipinap
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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KernelLLM Unsloth Bnb 4bit128K / 6 GB52
Book 4bit8K / 5.8 GB60
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Maqa Llama 4bit8K / 5.8 GB130
Note: green Score (e.g. "73.2") means that the model is better than Vipinap/RAFT_llama3_version_24.06.01.

Rank the RAFT Llama3 Version 24.06.01 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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