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Llama 161M 100B by abacaj

 »  All LLMs  »  abacaj  »  Llama 161M 100B   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Onnx   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/abacaj/llama-161M-100B 

Llama 161M 100B Benchmarks

LLME Score: 0.20752
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 161M 100B (abacaj/llama-161M-100B)

Llama 161M 100B Parameters and Internals

Model Type 
pretrained, text generation
Use Cases 
Primary Use Cases:
base pretrained model requiring fine-tuning
Limitations:
Requires further fine-tuning to be useful
Additional Notes 
This is a base pretrained model and requires further fine tuning to be useful.
Training Details 
Data Sources:
80% code, 10% NL, 10% instruction data
Data Volume:
100B tokens
Methodology:
WSD scheduler with 10% decay
Training Time:
110 hours
Hardware Used:
8x3090s
LLM NameLlama 161M 100B
Repository 🤗https://huggingface.co/abacaj/llama-161M-100B 
Model Size100b
Required VRAM0.3 GB
Updated2025-02-05
Maintainerabacaj
Model Typellama
Model Files  0.3 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length1024
Model Max Length1024
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than abacaj/llama-161M-100B.

Rank the Llama 161M 100B 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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