Qwen2p5 14B Llamatok by chargoddard

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2p5 14B Llamatok Benchmarks

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

Qwen2p5 14B Llamatok Parameters and Internals

LLM NameQwen2p5 14B Llamatok
Repository ๐Ÿค—https://huggingface.co/chargoddard/qwen2p5-14b-llamatok 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.2 GB
Updated2024-10-16
Maintainerchargoddard
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.3 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Qwen2p5 14B Llamatok (chargoddard/qwen2p5-14b-llamatok)

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Note: green Score (e.g. "73.2") means that the model is better than chargoddard/qwen2p5-14b-llamatok.

Rank the Qwen2p5 14B Llamatok 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 v2024072803