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Qwen1.5 72B AWQ by programmerino

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Qwen1.5 72B AWQ is an open-source language model by programmerino. Features: 72b LLM, VRAM: 41.3GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.

  4-bit   Awq   Conversational   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/programmerino/qwen1.5-72b-awq 

Qwen1.5 72B AWQ Benchmarks

LLME Score: 0.13521
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 72B AWQ (programmerino/qwen1.5-72b-awq)
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Qwen1.5 72B AWQ Parameters and Internals

LLM NameQwen1.5 72B AWQ
Repository 🤗https://huggingface.co/programmerino/qwen1.5-72b-awq 
Model Size72b
Required VRAM41.3 GB
Updated2026-04-10
Maintainerprogrammerino
Model Typeqwen2
Model Files  5.0 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   3.8 GB: 8-of-9   2.5 GB: 9-of-9
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen1.5 72B AWQ

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Tess V2.5.2 Qwen2 72B AWQ128K / 41.6 GB50
Qwen1.5 72B Chat AWQ32K / 41.3 GB31526
Qwen2.5 72B Instruct AWQ32K / 41.6 GB18143072
Athene V2 Chat AWQ32K / 41.6 GB54
Qwen2 72B Instruct AWQ32K / 41.6 GB42641
Qwen2 72B Instruct AWQ GEMM32K / 41.6 GB60
Typhoon V1.5 72B Instruct AWQ32K / 41.3 GB73
Typhoon V1.5 72B Instruct AWQ32K / 41.3 GB53
Liberated Qwen1.5 72B AWQ32K / 41.3 GB81
Ao Karasu 72B AWQ 4bit32K / 41.3 GB52
Note: green Score (e.g. "73.2") means that the model is better than programmerino/qwen1.5-72b-awq.

Rank the Qwen1.5 72B AWQ 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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