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Opus V1.2 70B AWQ by dreamgen

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Model Card on HF 🤗: https://huggingface.co/dreamgen/opus-v1.2-70b-awq 

Opus V1.2 70B AWQ Benchmarks

LLME Score: 0.14072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opus V1.2 70B AWQ (dreamgen/opus-v1.2-70b-awq)
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Opus V1.2 70B AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is fine-tuned for steerable story-writing and role-playing.
LLM NameOpus V1.2 70B AWQ
Repository 🤗https://huggingface.co/dreamgen/opus-v1.2-70b-awq 
Base Model(s)  dreamgen/opus-v1.2-70b   dreamgen/opus-v1.2-70b
Model Size70b
Required VRAM36.7 GB
Updated2025-10-18
Maintainerdreamgen
Model Typellama
Model Files  5.0 GB: 1-of-8   5.0 GB: 2-of-8   4.9 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   4.9 GB: 6-of-8   4.9 GB: 7-of-8   2.2 GB: 8-of-8
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
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 dreamgen/opus-v1.2-70b-awq.

Rank the Opus V1.2 70B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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