Qwen2.5 0.5B Test Ft by KingNish

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth

Qwen2.5 0.5B Test Ft 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 0.5B Test Ft (KingNish/Qwen2.5-0.5b-Test-ft)

Qwen2.5 0.5B Test Ft Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
Developers plan to further train the model on larger datasets.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
Magpie 300k Dataset
Data Volume:
12,800 rows
Model Architecture:
Compact language model architecture employing unsloth for faster training.
Input Output 
Input Format:
Messages structured in a system/user prompt format; supports chat templates.
Accepted Modalities:
text
Output Format:
Text responses
LLM NameQwen2.5 0.5B Test Ft
Repository ๐Ÿค—https://huggingface.co/KingNish/Qwen2.5-0.5b-Test-ft 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2024-12-21
MaintainerKingNish
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than KingNish/Qwen2.5-0.5b-Test-ft.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217