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Tiny Llama by vicky4s4s

 »  All LLMs  »  vicky4s4s  »  Tiny Llama   URL Share it on

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  Autotrain compatible   Conversational   Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/vicky4s4s/Tiny-llama 

Tiny Llama Benchmarks

LLME Score: 0.17607
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tiny Llama (vicky4s4s/Tiny-llama)

Tiny Llama Parameters and Internals

Model Type 
text generation, chatbot
Additional Notes 
The model is finetuned as a chat model and is compatible with projects built upon Llama.
Supported Languages 
en (primary)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, bigcode/starcoderdata, HuggingFaceH4/ultrachat_200k, HuggingFaceH4/ultrafeedback_binarized
Data Volume:
3 trillion tokens
Methodology:
Pretraining and fine-tuning with HF's Zephyr training recipe, and alignment with 🤗 TRL's DPOTrainer.
Training Time:
90 days
Hardware Used:
16 A100-40G GPUs
Model Architecture:
Adopts Llama 2 architecture and tokenizer
Input Output 
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use with the appropriate tokenizer's chat template for optimal performance.
LLM NameTiny Llama
Repository 🤗https://huggingface.co/vicky4s4s/Tiny-llama 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-06-01
Maintainervicky4s4s
Model Typellama
Model Files  2.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than vicky4s4s/Tiny-llama.

Rank the Tiny Llama 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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