ECE PRYMMAL 0.5B FT EnhancedMUSREnsembleV3 by matouLeLoup

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  Autotrain compatible   Dataset:allenai/qasc   En   Endpoints compatible   Enhanced-ensemble   Instruct   Multi-source   Musr   Qwen   Qwen2   Reasoning   Region:us   Safetensors

ECE PRYMMAL 0.5B FT EnhancedMUSREnsembleV3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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ECE PRYMMAL 0.5B FT EnhancedMUSREnsembleV3 Parameters and Internals

LLM NameECE PRYMMAL 0.5B FT EnhancedMUSREnsembleV3
Repository ๐Ÿค—https://huggingface.co/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3 
Model Size0.5b
Required VRAM1 GB
Updated2024-11-18
MaintainermatouLeLoup
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
ECE PRYMMAL 0.5B FT EnhancedMUSREnsembleV3 (matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3)

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....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
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...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB351
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ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB200
Note: green Score (e.g. "73.2") means that the model is better than matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3.

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