Quantized Kheopss AWQ 4bits V1 by kheopss

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Quantized Kheopss AWQ 4bits V1 is an open-source language model by kheopss. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.13.

  16bit   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors

Quantized Kheopss AWQ 4bits V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Quantized Kheopss AWQ 4bits V1 Parameters and Internals

LLM NameQuantized Kheopss AWQ 4bits V1
Repository 🤗https://huggingface.co/kheopss/quantized_kheopss_AWQ_4bits_V1 
Model Size1.2b
Required VRAM4.2 GB
Updated2024-08-08
Maintainerkheopss
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|16bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.43.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than kheopss/quantized_kheopss_AWQ_4bits_V1.

Rank the Quantized Kheopss AWQ 4bits V1 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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Release v20260328a