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Arch Function 7B by katanemo

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Arch Function 7B Benchmarks

LLME Score: 0.27559
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Arch Function 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is highly optimized for low-latency, high-throughput scenarios.
Supported Languages 
en (proficient)
Input Output 
Input Format:
Expected input is aligned with task-specific prompts for function calling.
Accepted Modalities:
text
Output Format:
JSON format for function calls.
Performance Tips:
For optimal performance, use the specified prompt format.
LLM NameArch Function 7B
Repository 🤗https://huggingface.co/katanemo/Arch-Function-7B 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
Maintainerkatanemo
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Arch Function 7B (katanemo/Arch-Function-7B)

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Note: green Score (e.g. "73.2") means that the model is better than katanemo/Arch-Function-7B.

Rank the Arch Function 7B 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 v20241110
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