Yugo55A GPT AWQ by datatab

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Yugo55A GPT AWQ is an open-source language model by datatab. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.13.

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

Yugo55A GPT AWQ Benchmarks

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

Yugo55A GPT AWQ Parameters and Internals

LLM NameYugo55A GPT AWQ
Repository 🤗https://huggingface.co/datatab/Yugo55A-GPT-AWQ 
Model Size1.2b
Required VRAM4.2 GB
Updated2024-11-13
Maintainerdatatab
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Yugo55A GPT AWQ

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Context / RAM
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Likes
Quantized Kheopss AWQ 4bits V132K / 4.2 GB170
Ryze AWQ 4bit32K / 4.2 GB50
...V3 Plot Chat Roleplay Chat AWQ32K / 4.2 GB60
MistralLite AWQ32K / 4.2 GB423
SFR Embedding Mistral AWQ32K / 4.2 GB160
Mistral Ft Optimized 1218 AWQ32K / 4.2 GB110
Go Bruins V2.1.1 AWQ32K / 4.2 GB61
Openchat 3.5 16K AWQ32K / 4.2 GB162
Openchat 3.5 16K AWQ32K / 4.2 GB31
Openchat 3.5 0106 AWQ8K / 4.2 GB31
Note: green Score (e.g. "73.2") means that the model is better than datatab/Yugo55A-GPT-AWQ.

Rank the Yugo55A GPT AWQ 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