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Reflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2 by RyanYr

By RyanYr · 5 downloads

Reflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2 is an open-source language model by RyanYr. Features: 3b LLM, VRAM: 22GB, Context: 32K, LLM Explorer Score: 0.17.

  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 Parameters and Internals

LLM NameReflect Qwen3bbase Llm8Bmstlrg80k Om2 SftT2
Repository πŸ€—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
Updated2025-09-23
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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