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Phi3 Translator Merged3 by RyotaKadoya1993

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/RyotaKadoya1993/phi3_translator_merged3 

Phi3 Translator Merged3 Benchmarks

LLME Score: 0.19531
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi3 Translator Merged3 (RyotaKadoya1993/phi3_translator_merged3)

Phi3 Translator Merged3 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Additional Notes 
This Mistral model was trained 2x faster using the Unsloth and Huggingface's TRL library.
LLM NamePhi3 Translator Merged3
Repository 🤗https://huggingface.co/RyotaKadoya1993/phi3_translator_merged3 
Base Model(s)  unsloth/phi-3-medium-4k-instruct   unsloth/phi-3-medium-4k-instruct
Model Size14b
Required VRAM55 GB
Updated2025-02-22
MaintainerRyotaKadoya1993
Model Typemistral
Instruction-BasedYes
Model Files  4.7 GB: 1-of-12   4.8 GB: 2-of-12   4.7 GB: 3-of-12   4.8 GB: 4-of-12   4.7 GB: 5-of-12   4.8 GB: 6-of-12   4.7 GB: 7-of-12   4.8 GB: 8-of-12   4.7 GB: 9-of-12   4.8 GB: 10-of-12   4.7 GB: 11-of-12   2.8 GB: 12-of-12
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16

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Arsh V14K / 28 GB9391
...ll Phi 3 Medium 4K Inst Philos4K / 28 GB190
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Phi 3 Unsloth Finetune 64K / 28 GB50
Phi 3 Unsloth Finetune 54K / 28 GB50
Phi 3 Unsloth Finetune 44K / 28 GB60
Note: green Score (e.g. "73.2") means that the model is better than RyotaKadoya1993/phi3_translator_merged3.

Rank the Phi3 Translator Merged3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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