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Tinyllama 24 Gptq 4bit Channelwise by alexm-nm

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Tinyllama 24 Gptq 4bit Channelwise is an open-source language model by alexm-nm. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Conversational   Endpoints compatible   Fp16   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/alexm-nm/tinyllama-24-gptq-4bit-channelwise 

Tinyllama 24 Gptq 4bit Channelwise Benchmarks

LLME Score: 0.13328
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama 24 Gptq 4bit Channelwise (alexm-nm/tinyllama-24-gptq-4bit-channelwise)
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Tinyllama 24 Gptq 4bit Channelwise Parameters and Internals

LLM NameTinyllama 24 Gptq 4bit Channelwise
Repository 🤗https://huggingface.co/alexm-nm/tinyllama-24-gptq-4bit-channelwise 
Model Size1.1b
Required VRAM0.8 GB
Updated2025-12-23
Maintaineralexm-nm
Model Typellama
Model Files  0.8 GB
GPTQ QuantizationYes
Quantization Typefp16|gptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than alexm-nm/tinyllama-24-gptq-4bit-channelwise.

Rank the Tinyllama 24 Gptq 4bit Channelwise Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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