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Mongolian Llama3 V0.1 by Dorjzodovsuren

 »  All LLMs  »  Dorjzodovsuren  »  Mongolian Llama3 V0.1   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/Dorjzodovsuren/Mongolian_Llama3-v0.1 

Mongolian Llama3 V0.1 Benchmarks

LLME Score: 0.15127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mongolian Llama3 V0.1 (Dorjzodovsuren/Mongolian_Llama3-v0.1)
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Mongolian Llama3 V0.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
roleplaying, tool-using
Limitations:
Synthetic Data Bias, Translation Inaccuracy, Cultural Nuances, Algorithmic Limits, Dependency on Data, Adversarial Attacks, Different answer based on language
Considerations:
Please ask in Mongolian if possible.
Additional Notes 
The model implementation is available in Chat UI. It is the first open-source instruction-tuned language model for Mongolian and English users.
Supported Languages 
mn (Mongolian), en (English)
Training Details 
Context Length:
8000
Safety Evaluation 
Ethical Considerations:
Users should be aware of the risks, biases, and limitations of the model. Information might be misleading, and answers might differ based on language.
Responsible Ai Considerations 
Fairness:
Synthetic data bias
LLM NameMongolian Llama3 V0.1
Repository 🤗https://huggingface.co/Dorjzodovsuren/Mongolian_Llama3-v0.1 
Required VRAM0 GB
Updated2025-09-23
MaintainerDorjzodovsuren
Model Files  4.9 GB   0.2 GB   0.1 GB   0.0 GB   0.0 GB
Supported Languagesmn en
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|o_proj|v_proj|up_proj|gate_proj|q_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Dorjzodovsuren/Mongolian_Llama3-v0.1.

Rank the Mongolian Llama3 V0.1 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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Release v20241124
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