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Llama SciQ 4bits by thewordsmiths

 »  All LLMs  »  thewordsmiths  »  Llama SciQ 4bits   URL Share it on

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  4-bit   Autotrain compatible   Bitsandbytes   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/thewordsmiths/Llama_SciQ_4bits 

Llama SciQ 4bits Benchmarks

LLME Score: 0.15704
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama SciQ 4bits (thewordsmiths/Llama_SciQ_4bits)
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Llama SciQ 4bits Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Used Unsloth and Huggingface's TRL library for faster training
LLM NameLlama SciQ 4bits
Repository 🤗https://huggingface.co/thewordsmiths/Llama_SciQ_4bits 
Base Model(s)  thewordsmiths/llama_sciq   thewordsmiths/llama_sciq
Model Size4.7b
Required VRAM5.8 GB
Updated2025-09-23
Maintainerthewordsmiths
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 Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama SciQ 4bits

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Context / RAM
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Likes
...loth Llama3.1 Instruct Bnb4bit128K / 5.8 GB60
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...ma3 Quantized 5epochs 24 06 048K / 5.8 GB70
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Llama 3 Merged Linear8K / 5.8 GB120
KernelLLM Unsloth Bnb 4bit128K / 6 GB62
Llama3.1 Merged128K / 5.8 GB60
EPFL TA Meister 4bit8K / 5.8 GB60
Book 4bitV58K / 5.8 GB60
Book 4bit8K / 5.8 GB60
Note: green Score (e.g. "73.2") means that the model is better than thewordsmiths/Llama_SciQ_4bits.

Rank the Llama SciQ 4bits 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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