Qwen2.5 0.5B Instruct With New Merges Serialization by pcuenq

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  Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-0.5b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors

Qwen2.5 0.5B Instruct With New Merges Serialization 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 Instruct With New Merges Serialization (pcuenq/Qwen2.5-0.5B-Instruct-with-new-merges-serialization)

Qwen2.5 0.5B Instruct With New Merges Serialization Parameters and Internals

Model Type 
Causal Language Models
Supported Languages 
en (English)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 0.5B Instruct With New Merges Serialization
Repository ๐Ÿค—https://huggingface.co/pcuenq/Qwen2.5-0.5B-Instruct-with-new-merges-serialization 
Base Model(s)  Qwen/Qwen2.5-0.5B   Qwen/Qwen2.5-0.5B
Model Size0.5b
Required VRAM1 GB
Updated2024-12-22
Maintainerpcuenq
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 Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than pcuenq/Qwen2.5-0.5B-Instruct-with-new-merges-serialization.

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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