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Alpindale Magnum 72B V1.6.0bpw by lucyknada

 »  All LLMs  »  lucyknada  »  Alpindale Magnum 72B V1.6.0bpw   URL Share it on

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  6-bit   Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Exl2   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/lucyknada/alpindale-magnum-72b-v1-6.0bpw 

Alpindale Magnum 72B V1.6.0bpw Benchmarks

LLME Score: 0.19357
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpindale Magnum 72B V1.6.0bpw (lucyknada/alpindale-magnum-72b-v1-6.0bpw)

Alpindale Magnum 72B V1.6.0bpw Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is designed to replicate the prose quality of the Claude 3 models.
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
55 million tokens of high-quality RP data
Data Volume:
55 million tokens
Methodology:
instruct-tuning with ChatML formatting
Hardware Used:
8x AMD Instinct™ MI300X Accelerators
Model Architecture:
unknown
Input Output 
Input Format:
uses ChatML formatting
Accepted Modalities:
text
Output Format:
text
Performance Tips:
unknown
LLM NameAlpindale Magnum 72B V1.6.0bpw
Repository 🤗https://huggingface.co/lucyknada/alpindale-magnum-72b-v1-6.0bpw 
Model Size72b
Required VRAM56.1 GB
Updated2025-02-22
Maintainerlucyknada
Model Typeqwen2
Model Files  8.5 GB: 1-of-7   8.6 GB: 2-of-7   8.5 GB: 3-of-7   8.6 GB: 4-of-7   8.5 GB: 5-of-7   8.5 GB: 6-of-7   4.9 GB: 7-of-7
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than lucyknada/alpindale-magnum-72b-v1-6.0bpw.

Rank the Alpindale Magnum 72B V1.6.0bpw 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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