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Ryze AWQ 4bit by Fulcrum-AI

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Ryze AWQ 4bit is an open-source language model by Fulcrum-AI. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Awq   Conversational   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Fulcrum-AI/Ryze-AWQ-4bit 

Ryze AWQ 4bit Benchmarks

LLME Score: 0.13488
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ryze AWQ 4bit (Fulcrum-AI/Ryze-AWQ-4bit)
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Ryze AWQ 4bit Parameters and Internals

LLM NameRyze AWQ 4bit
Repository 🤗https://huggingface.co/Fulcrum-AI/Ryze-AWQ-4bit 
Model Size7.2b
Required VRAM4.2 GB
Updated2026-06-08
MaintainerFulcrum-AI
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Fulcrum-AI/Ryze-AWQ-4bit.

Rank the Ryze AWQ 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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