Qwen2.5 8K Sports by mikun

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  4bit   Autotrain compatible   En   Endpoints compatible   Ext 8k   Lora   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/mikun/Qwen2.5-8k-sports 

Qwen2.5 8K Sports 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 8K Sports (mikun/Qwen2.5-8k-sports)

Qwen2.5 8K Sports Parameters and Internals

LLM NameQwen2.5 8K Sports
Repository ๐Ÿค—https://huggingface.co/mikun/Qwen2.5-8k-sports 
Base Model(s)  unsloth/qwen2.5-7b-bnb-4bit   unsloth/qwen2.5-7b-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2024-12-04
Maintainermikun
Model Files  0.1 GB   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
Context Length8k
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|k_proj|q_proj|down_proj|up_proj|o_proj
LoRA Alpha16
LoRA Dropout0
R Param8
Errorsreplace

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Rank the Qwen2.5 8K Sports Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217