Arcee Blitz AWQ by arcee-ai

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Arcee Blitz AWQ is an open-source language model by arcee-ai. Features: 23.6b LLM, VRAM: 14.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

  4-bit   Awq Base model:arcee-ai/arcee-blit... Base model:quantized:arcee-ai/...   Conversational   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Arcee Blitz AWQ Benchmarks

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

Arcee Blitz AWQ Parameters and Internals

LLM NameArcee Blitz AWQ
Repository 🤗https://huggingface.co/arcee-ai/Arcee-Blitz-AWQ 
Base Model(s)  Arcee Blitz   arcee-ai/Arcee-Blitz
Model Size23.6b
Required VRAM14.2 GB
Updated2026-05-24
Maintainerarcee-ai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.3 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Arcee-Blitz-AWQ.

Rank the Arcee Blitz 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