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CataLlama V0.1 Instruct DPO by catallama

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  Autotrain compatible Base model:catallama/catallama... Base model:finetune:catallama/...   Ca   Catalan   Conversational   Dataset:catallama/catalan-dpo   En   Endpoints compatible   Instruct   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/catallama/CataLlama-v0.1-Instruct-DPO 

CataLlama V0.1 Instruct DPO Benchmarks

LLME Score: 0.17412
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CataLlama V0.1 Instruct DPO (catallama/CataLlama-v0.1-Instruct-DPO)

CataLlama V0.1 Instruct DPO Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat, natural language generation tasks
Limitations:
Use in any manner that violates applicable laws or regulations, Use in languages other than English.
Considerations:
Demonstrates techniques for augmenting LLMs on new languages.
Additional Notes 
The intended purpose is to preserve rare languages as part of our world heritage.
Supported Languages 
ca (proficient), en (proficient)
Training Details 
Data Sources:
catallama/Catalan-DPO
Data Volume:
445 million new tokens
Methodology:
DPO fine-tune
Hardware Used:
4x A100 80GB GPUs
Model Architecture:
optimized transformer architecture, auto-regressive language model
Input Output 
Input Format:
Prompt template of Llama-3 Instruct.
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Model follows the same prompt template as Llama-3 Instruct.
Release Notes 
Version:
v0.1
Notes:
Trained on Catalan dataset for instruction fine-tuning with DPO optimization.
LLM NameCataLlama V0.1 Instruct DPO
Repository 🤗https://huggingface.co/catallama/CataLlama-v0.1-Instruct-DPO 
Base Model(s)  catallama/CataLlama-v0.1-Instruct-SFT   catallama/CataLlama-v0.1-Instruct-SFT
Model Size8b
Required VRAM16.1 GB
Updated2025-05-15
Maintainercatallama
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Supported Languagesca en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size128257
Torch Data Typebfloat16

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Zero Llama 3.1 8B Beta61048K / 16.1 GB1051
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Note: green Score (e.g. "73.2") means that the model is better than catallama/CataLlama-v0.1-Instruct-DPO.

Rank the CataLlama V0.1 Instruct DPO 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 v20241227
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