Homer V1.0 Qwen2.5 7B by newsbang

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Homer V1.0 Qwen2.5 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Homer V1.0 Qwen2.5 7B (newsbang/Homer-v1.0-Qwen2.5-7B)

Homer V1.0 Qwen2.5 7B Parameters and Internals

LLM NameHomer V1.0 Qwen2.5 7B
Repository ๐Ÿค—https://huggingface.co/newsbang/Homer-v1.0-Qwen2.5-7B 
Model Size7b
Required VRAM15.2 GB
Updated2025-01-14
Maintainernewsbang
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than newsbang/Homer-v1.0-Qwen2.5-7B.

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