Barcenas 6B 200K by Danielbrdz

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Barcenas 6B 200K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barcenas 6B 200K (Danielbrdz/Barcenas-6b-200k)

Barcenas 6B 200K Parameters and Internals

Additional Notes 
Made with โค๏ธ in Guadalupe, Nuevo Leon, Mexico ๐Ÿ‡ฒ๐Ÿ‡ฝ
Training Details 
Data Sources:
HuggingFaceH4/no_robots
Methodology:
fine-tuning model
Hardware Used:
Nvidia A100
LLM NameBarcenas 6B 200K
Repository ๐Ÿค—https://huggingface.co/Danielbrdz/Barcenas-6b-200k 
Model Size6b
Required VRAM12.1 GB
Updated2024-12-21
MaintainerDanielbrdz
Model Typellama
Model Files  9.9 GB: 1-of-2   2.2 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.0.dev0
Tokenizer ClassYiTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-6b-200k.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217