Qwen2.5 14B Instruct Bf16 by mlx-community

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Qwen2.5 14B Instruct Bf16 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 14B Instruct Bf16 (mlx-community/Qwen2.5-14B-Instruct-bf16)

Qwen2.5 14B Instruct Bf16 Parameters and Internals

LLM NameQwen2.5 14B Instruct Bf16
Repository ๐Ÿค—https://huggingface.co/mlx-community/Qwen2.5-14B-Instruct-bf16 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.6 GB
Updated2025-06-01
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.3 GB: 1-of-6   5.4 GB: 2-of-6   5.4 GB: 3-of-6   5.2 GB: 4-of-6   5.4 GB: 5-of-6   2.9 GB: 6-of-6
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
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 mlx-community/Qwen2.5-14B-Instruct-bf16.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227