Qwen2.5 5.7K Sports Content by mikun

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  4bit   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 5.7k Sports Content Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 5.7K Sports Content (mikun/qwen2.5_5.7k_sports_content)

Qwen2.5 5.7K Sports Content Parameters and Internals

LLM NameQwen2.5 5.7k Sports Content
Repository ๐Ÿค—https://huggingface.co/mikun/qwen2.5_5.7k_sports_content 
Model Size7b
Required VRAM15.2 GB
Updated2025-01-30
Maintainermikun
Model Typeqwen2
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
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mikun/qwen2.5_5.7k_sports_content.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227