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Book 4bitV5 by vbtest2003

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  4-bit   4bit   Autotrain compatible Base model:quantized:vbtest200... Base model:vbtest2003/book-4bi...   Bitsandbytes   Conversational   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/vbtest2003/book-4bitV5 

Book 4bitV5 Benchmarks

LLME Score: 0.15797
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Book 4bitV5 (vbtest2003/book-4bitV5)
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Book 4bitV5 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft
Additional Notes 
This llama model was trained 2x faster using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameBook 4bitV5
Repository 🤗https://huggingface.co/vbtest2003/book-4bitV5 
Base Model(s)  Book 4bit   vbtest2003/book-4bit
Model Size4.7b
Required VRAM5.8 GB
Updated2025-09-23
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

Best Alternatives to Book 4bitV5

Best Alternatives
Context / RAM
Downloads
Likes
KernelLLM Unsloth Bnb 4bit128K / 6 GB142
Llama3.1 Merged128K / 5.8 GB60
EPFL TA Meister 4bit8K / 5.8 GB60
Book 4bit8K / 5.8 GB60
Llama3 Ko 4bit8K / 5.8 GB60
Tenebra PreAlpha 128g 4BIT2K / 17.6 GB60
...loth Llama3.1 Instruct Bnb4bit128K / 5.8 GB60
Airoboros C34B 3.1.2 GPTQ16K / 17.7 GB61
Airoboros C34b 2.2.1 GPTQ16K / 17.7 GB82
Airoboros C34B 2.2 GPTQ16K / 17.7 GB81
Note: green Score (e.g. "73.2") means that the model is better than vbtest2003/book-4bitV5.

Rank the Book 4bitV5 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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