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Tinyllama En Ja Translation V3 by NilanE

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  Merged Model   Autotrain compatible Base model:finetune:nilane/tin... Base model:nilane/tinyllama-re... Dataset:nilane/parallelfiction...   En   Endpoints compatible   Ja   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/NilanE/tinyllama-en_ja-translation-v3 

Tinyllama En Ja Translation V3 Benchmarks

LLME Score: 0.18693
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama En Ja Translation V3 (NilanE/tinyllama-en_ja-translation-v3)

Tinyllama En Ja Translation V3 Parameters and Internals

Additional Notes 
This is an independently-developed project. If anyone is interested in sponsoring further research, please contact nilandekanayake@gmail.com.
Supported Languages 
en (supported), ja (supported)
Training Details 
Data Sources:
NilanE/ParallelFiction-Ja_En-100k
Methodology:
Trained for 2 epochs using QLoRA. CPO tune is in-progress.
Context Length:
1000
Input Output 
Input Format:
Translate this from Japanese to English: ### JAPANESE: {source_text} ### ENGLISH:
LLM NameTinyllama En Ja Translation V3
Repository 🤗https://huggingface.co/NilanE/tinyllama-en_ja-translation-v3 
Base Model(s)  NilanE/tinyllama-relora-merge   NilanE/tinyllama-relora-merge
Merged ModelYes
Model Size1.1b
Required VRAM2.2 GB
Updated2025-01-23
MaintainerNilanE
Model Typellama
Model Files  2.2 GB
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than NilanE/tinyllama-en_ja-translation-v3.

Rank the Tinyllama En Ja Translation V3 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241227
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