Reflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2 by RyanYr

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-3b   Conversational   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Reflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2 (RyanYr/reflect_qwen3bbase_llm8Bmstlrg80k-om2_SftT2)
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Reflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2 Parameters and Internals

LLM NameReflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2
Repository ๐Ÿค—https://huggingface.co/RyanYr/reflect_qwen3bbase_llm8Bmstlrg80k-om2_SftT2 
Model Namereflect_qwen3bbase_llm8Bmstlrg80k-om2_SftT2
Base Model(s)  Qwen/Qwen2.5-3B   Qwen/Qwen2.5-3B
Model Size3b
Required VRAM22 GB
Updated2025-09-05
MaintainerRyanYr
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   4.9 GB: 1-of-4   1.8 GB: 2-of-2   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token[PAD]
Vocabulary Size151666
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than RyanYr/reflect_qwen3bbase_llm8Bmstlrg80k-om2_SftT2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124