Qwen2.5 1.5B Base Qa Finetune V3 by minhtuan7akp

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Qwen2.5 1.5B Base Qa Finetune V3 is an open-source language model by minhtuan7akp. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.2.

  4bit   Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-1.5...   En   Endpoints compatible   Finetuned   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth

Qwen2.5 1.5b Base Qa Finetune V3 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 1.5B Base Qa Finetune V3 (minhtuan7akp/qwen2.5_1.5b_base_qa_finetune_v3)
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Qwen2.5 1.5B Base Qa Finetune V3 Parameters and Internals

LLM NameQwen2.5 1.5b Base Qa Finetune V3
Repository ๐Ÿค—https://huggingface.co/minhtuan7akp/qwen2.5_1.5b_base_qa_finetune_v3 
Base Model(s)  unsloth/Qwen2.5-1.5B-unsloth-bnb-4bit   unsloth/Qwen2.5-1.5B-unsloth-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2025-09-18
Maintainerminhtuan7akp
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than minhtuan7akp/qwen2.5_1.5b_base_qa_finetune_v3.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20241124