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Mistral 7B Instruct Vi Alpaca by date3k2

 »  All LLMs  »  date3k2  »  Mistral 7B Instruct Vi Alpaca   URL Share it on

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Conversational Dataset:bkai-foundation-models...   En   Finetuned   Generated from trainer   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Trl   Vi
Model Card on HF 🤗: https://huggingface.co/date3k2/Mistral-7B-Instruct-vi-alpaca 

Mistral 7B Instruct Vi Alpaca Benchmarks

LLME Score: 0.17513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct Vi Alpaca (date3k2/Mistral-7B-Instruct-vi-alpaca)

Mistral 7B Instruct Vi Alpaca Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation applications
Additional Notes 
This model is optimized for generating Vietnamese instructional content. The demonstration shows integration with the Hugging Face library.
Supported Languages 
vi (proficient), en (proficient)
Training Details 
Data Sources:
bkai-foundation-models/vi-alpaca
Methodology:
LoRA fine-tuning
Input Output 
Input Format:
chat template in PT tensors
Accepted Modalities:
text
Output Format:
generated text
LLM NameMistral 7B Instruct Vi Alpaca
Repository 🤗https://huggingface.co/date3k2/Mistral-7B-Instruct-vi-alpaca 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM0.4 GB
Updated2025-06-01
Maintainerdate3k2
Instruction-BasedYes
Model Files  0.4 GB   0.0 GB
Supported Languagesvi en
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|o_proj|k_proj|gate_proj|q_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Context / RAM
Downloads
Likes
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Text To Rule Mistral0K / 0.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than date3k2/Mistral-7B-Instruct-vi-alpaca.

Rank the Mistral 7B Instruct Vi 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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