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Hercules 5.0 Qwen2 1.5B by M4-ai

 »  All LLMs  »  M4-ai  »  Hercules 5.0 Qwen2 1.5B   URL Share it on

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  Autotrain compatible   Conversational Dataset:locutusque/hercules-v5...   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/M4-ai/Hercules-5.0-Qwen2-1.5B 

Hercules 5.0 Qwen2 1.5B Benchmarks

LLME Score: 0.19402
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hercules 5.0 Qwen2 1.5B (M4-ai/Hercules-5.0-Qwen2-1.5B)

Hercules 5.0 Qwen2 1.5B Parameters and Internals

Model Type 
NLP, language model
Use Cases 
Primary Use Cases:
General purpose assistant, question answering, chain-of-thought
Limitations:
More information needed for further recommendations
Considerations:
Users should be aware of the risks, biases, and limitations of the model.
Supported Languages 
en (English and maybe Chinese)
Training Details 
Data Sources:
Locutusque/hercules-v5.0
Context Length:
1536
Hardware Used:
8 Kaggle TPUs
Input Output 
Input Format:
ChatML prompt format
LLM NameHercules 5.0 Qwen2 1.5B
Repository 🤗https://huggingface.co/M4-ai/Hercules-5.0-Qwen2-1.5B 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-22
MaintainerM4-ai
Model Typeqwen2
Model Files  2.0 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than M4-ai/Hercules-5.0-Qwen2-1.5B.

Rank the Hercules 5.0 Qwen2 1.5B 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 v20241227
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