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Cutie AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq   Conversational   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/cutie-AWQ 

Cutie AWQ Benchmarks

LLME Score: 0.15291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cutie AWQ (TheBloke/cutie-AWQ)

Cutie AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
The model has been quantized using AWQ, which supports 4-bit quantization, providing efficient and fast inference specific for NVidia GPUs.
Supported Languages 
en (unknown)
LLM NameCutie AWQ
Repository 🤗https://huggingface.co/TheBloke/cutie-AWQ 
Model NameCutie
Model CreatorRishiraj Acharya
Base Model(s)  rishiraj/cutie   rishiraj/cutie
Model Size1.2b
Required VRAM4.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typellama
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Cutie GPTQ4K / 4.2 GB160
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Tini Llama Full2K / 4.9 GB520
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/cutie-AWQ.

Rank the Cutie AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241227
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