TinyLlama 1.1B Intermediate 1.5T PTBR Instruct V0 by cnmoro

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TinyLlama 1.1B Intermediate 1.5T PTBR Instruct V0 is an open-source language model by cnmoro. Features: 1.1b LLM, VRAM: 2.2GB, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.1.

  Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Pt   Pytorch   Region:us

TinyLlama 1.1B Intermediate 1.5T PTBR Instruct V0 Benchmarks

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

TinyLlama 1.1B Intermediate 1.5T PTBR Instruct V0 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This version is a work in progress, with final version expected to be v3 or v4.
Supported Languages 
pt (Portuguese), en (English)
Training Details 
Data Sources:
Portuguese instruct dataset
Methodology:
using axolotl
Input Output 
Input Format:
f"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:\n"
LLM NameTinyLlama 1.1B Intermediate 1.5T PTBR Instruct V0
Repository 🤗https://huggingface.co/cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v0 
Model Size1.1b
Required VRAM2.2 GB
Updated2024-11-18
Maintainercnmoro
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB
Supported Languagespt en
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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...diate 1.5T PTBR Instruct V3 8K8K / 2.2 GB98
TinyLlama 1.1B Instruct 3T4K / 2.2 GB8630
...rmediate 1.5T PTBR Instruct V24K / 2.2 GB151
...rmediate 1.5T PTBR Instruct V14K / 2.2 GB92
Tucano 1b1 Instruct2K / 4.4 GB10715
Note: green Score (e.g. "73.2") means that the model is better than cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v0.

Rank the TinyLlama 1.1B Intermediate 1.5T PTBR Instruct V0 Capabilities

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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 v20260328a