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Lloro by semantixai

 »  All LLMs  »  semantixai  »  Lloro   URL Share it on

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  Analise-dados   Analytics   Autotrain compatible Base model:codellama/codellama... Base model:finetune:codellama/...   Co2 eq emissions   Codegen   Conversational   Dataset:semantixai/llorov3   Endpoints compatible   Instruct   Llama   Portugues-br   Pt   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/semantixai/Lloro 

Lloro Benchmarks

LLME Score: 0.16154
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lloro (semantixai/Lloro)

Lloro Parameters and Internals

Model Type 
language model
Use Cases 
Primary Use Cases:
data analysis in Portuguese contexts
Supported Languages 
pt (primary), en (understandable)
Training Details 
Data Sources:
Pairs synthetic instructions/code
Data Volume:
9351532 tokens
Methodology:
QLORA
Context Length:
2048
Training Time:
February 2024 and April 2024
Hardware Used:
1 A100 40 GB GPU
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text (Code)
LLM NameLloro
Repository 🤗https://huggingface.co/semantixai/Lloro 
Base Model(s)  CodeLlama 7B Instruct Hf   codellama/CodeLlama-7b-Instruct-hf
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainersemantixai
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagespt
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.40.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32016
Torch Data Typebfloat16

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Context / RAM
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Likes
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CodeV CL 7B16K / 13.5 GB731
Cdlm 7 Ko Nl2sql V1.016K / 13.5 GB20324
Stack Codellama 7B Inst16K / 13.5 GB280
Glaive Coder 7B16K / 27 GB207854
...ama 7B Instruct Hf Dequantized16K / 13.5 GB1970
...deLlama 7B Instruct Hf 8bits Q16K / 4.2 GB191
Note: green Score (e.g. "73.2") means that the model is better than semantixai/Lloro.

Rank the Lloro 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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