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LLaMAX3 8B Alpaca by LLaMAX

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Model Card on HF 🤗: https://huggingface.co/LLaMAX/LLaMAX3-8B-Alpaca 

LLaMAX3 8B Alpaca Benchmarks

LLME Score: 0.21189
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMAX3 8B Alpaca (LLaMAX/LLaMAX3-8B-Alpaca)

LLaMAX3 8B Alpaca Parameters and Internals

Model Type 
Multilingual, Translation, Instruction-following
Use Cases 
Areas:
Multilingual translation
Applications:
Research, Commercial applications
Primary Use Cases:
Translation across more than 100 languages
Additional Notes 
Thanks for the efforts from @AnnioDance.
Supported Languages 
af (Akrikaans), am (Amharic), ar (Arabic), hy (Armenian), as (Assamese), ast (Asturian), az (Azerbaijani), be (Belarusian), bn (Bengali), bs (Bosnian), bg (Bulgarian), my (Burmese), ca (Catalan), ceb (Cebuano), zho (Chinese Simpl/Trad), hr (Croatian), cs (Czech), da (Danish), nl (Dutch), en (English), et (Estonian), tl (Filipino), fi (Finnish), fr (French), ff (Fulah), gl (Galician), lg (Ganda), ka (Georgian), de (German), el (Greek), gu (Gujarati), ha (Hausa), he (Hebrew), hi (Hindi), hu (Hungarian), is (Icelandic), ig (Igbo), id (Indonesian), ga (Irish), it (Italian), ja (Japanese), jv (Javanese), kea (Kabuverdianu), kam (Kamba), kn (Kannada), kk (Kazakh), km (Khmer), ko (Korean), ky (Kyrgyz), lo (Lao), lv (Latvian), ln (Lingala), lt (Lithuanian), luo (Luo), lb (Luxembourgish), mk (Macedonian), ms (Malay), ml (Malayalam), mt (Maltese), mi (Maori), mr (Marathi), mn (Mongolian), ne (Nepali), ns (Northern Sotho), no (Norwegian), ny (Nyanja), oc (Occitan), or (Oriya), om (Oromo), ps (Pashto), fa (Persian), pl (Polish), pt (Portuguese), pa (Punjabi), ro (Romanian), ru (Russian), sr (Serbian), sn (Shona), sd (Sindhi), sk (Slovak), sl (Slovenian), so (Somali), ku (Sorani Kurdish), es (Spanish), sw (Swahili), sv (Swedish), tg (Tajik), ta (Tamil), te (Telugu), th (Thai), tr (Turkish), uk (Ukrainian), umb (Umbundu), ur (Urdu), uz (Uzbek), vi (Vietnamese), cy (Welsh), wo (Wolof), xh (Xhosa), yo (Yoruba), zu (Zulu)
Training Details 
Data Sources:
102 languages training sets, English instruction fine-tuning dataset Alpaca
Methodology:
Continued pre-training of Llama2, leveraged English instruction fine-tuning dataset Alpaca
Input Output 
Input Format:
Prompt with task instruction and input context
Accepted Modalities:
text
Output Format:
Translation output text
LLM NameLLaMAX3 8B Alpaca
Repository 🤗https://huggingface.co/LLaMAX/LLaMAX3-8B-Alpaca 
Model Size8b
Required VRAM32.1 GB
Updated2025-03-22
MaintainerLLaMAX
Model Typellama
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Supported Languagesaf am ar hy as az be bn bs bg my ca hr cs da nl en et tl fi fr ff gl lg ka de el gu ha he hi hu is ig id ga it ja jv kn kk km ko ky lo lv ln lt lb mk ms ml mt mi mr mn ne ns ny oc or om ps fa pl pt pa ro ru sr sn sd sk sl so ku es sw sv tg ta te th tr uk ur uz vi cy wo xh yo zu
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than LLaMAX/LLaMAX3-8B-Alpaca.

Rank the LLaMAX3 8B Alpaca 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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