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Book 4bit by vbtest2003

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Book 4bit is an open-source language model by vbtest2003. Features: 8.2b LLM, VRAM: 5.8GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Bitsandbytes   Conversational   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/vbtest2003/book-4bit 

Book 4bit Benchmarks

LLME Score: 0.13247
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Book 4bit (vbtest2003/book-4bit)
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Book 4bit Parameters and Internals

Model Type 
text-generation-inference, transformers, llama, trl
Training Details 
Methodology:
The model was trained 2x faster using the Unsloth and Huggingface's TRL library.
LLM NameBook 4bit
Repository 🤗https://huggingface.co/vbtest2003/book-4bit 
Base Model(s)  outputs   /outputs
Model Size8.2b
Required VRAM5.8 GB
Updated2026-05-23
Maintainervbtest2003
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Book 4bit

Model
Likes
Downloads
VRAM
Book 4bitV5065 GB

Best Alternatives to Book 4bit

Best Alternatives
Context / RAM
Downloads
Likes
KernelLLM Unsloth Bnb 4bit128K / 6 GB52
Llama3 Ko 4bit8K / 5.8 GB50
Ko Pt Model Test18K / 16.4 GB20270
Maqa Llama 4bit8K / 5.8 GB130
Llama SciQ 4bits8K / 5.8 GB50
RAFT Llama3 Version 24.06.018K / 5.8 GB50
Llama 3 Merged Linear8K / 5.8 GB930
Llama 3 Ko Luxia Instruct8K / 16.4 GB133
Note: green Score (e.g. "73.2") means that the model is better than vbtest2003/book-4bit.

Rank the Book 4bit 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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