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 (chargoddard/qwen2p5-14b-llamatok)

Qwen2p5 14B Llamatok Parameters and Internals

Additional Notes 
Tokens have been mapped to make llama3 prompt format roughly work, but it's janky. Not meant for direct use.
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
Updated2025-02-22
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

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227