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Tinyllama Ft En Es Rag Gguf Q4 K M by mrm8488

 »  All LLMs  »  mrm8488  »  Tinyllama Ft En Es Rag Gguf Q4 K M   URL Share it on

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  4bit Base model:quantized:unsloth/t... Base model:unsloth/tinyllama-b...   En   Endpoints compatible   Gguf   Llama   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/mrm8488/tinyllama-ft-en-es-rag-gguf-q4_k_m 

Tinyllama Ft En Es Rag Gguf Q4 K M Benchmarks

LLME Score: 0.18621
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama Ft En Es Rag Gguf Q4 K M (mrm8488/tinyllama-ft-en-es-rag-gguf-q4_k_m)

Tinyllama Ft En Es Rag Gguf Q4 K M Parameters and Internals

Model Type 
text generation inference, transformers
Additional Notes 
Llama model trained with Unsloth.
Training Details 
Methodology:
Unsloth and Huggingface's TRL library
Training Time:
2x faster than usual
LLM NameTinyllama Ft En Es Rag Gguf Q4 K M
Repository 🤗https://huggingface.co/mrm8488/tinyllama-ft-en-es-rag-gguf-q4_k_m 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Required VRAM0 GB
Updated2025-02-22
Maintainermrm8488
Model Typellama
Model Files  0.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|4bit|q4_k
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than mrm8488/tinyllama-ft-en-es-rag-gguf-q4_k_m.

Rank the Tinyllama Ft En Es Rag Gguf Q4 K M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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