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Llama 3 Tiny Random Gptq W4 by yujiepan

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Llama 3 Tiny Random Gptq W4 is an open-source language model by yujiepan. Features: 1m LLM, Context: 8K, Quantized, LLM Explorer Score: 0.13.

  4-bit   Conversational   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/yujiepan/llama-3-tiny-random-gptq-w4 

Llama 3 Tiny Random Gptq W4 Benchmarks

LLME Score: 0.13137
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Tiny Random Gptq W4 (yujiepan/llama-3-tiny-random-gptq-w4)
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Llama 3 Tiny Random Gptq W4 Parameters and Internals

Model Type 
causal language model
Additional Notes 
4-bit weight only quantization by AutoGPTQ
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 3 Tiny Random Gptq W4
Repository 🤗https://huggingface.co/yujiepan/llama-3-tiny-random-gptq-w4 
Model Size1m
Required VRAM0 GB
Updated2026-04-03
Maintaineryujiepan
Model Typellama
Model Files  0.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than yujiepan/llama-3-tiny-random-gptq-w4.

Rank the Llama 3 Tiny Random Gptq W4 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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