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Tinyllama2.0 Test0 by Deathsquad10

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Tinyllama2.0 Test0 is an open-source language model by Deathsquad10. Features: 1.5b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.13.

  Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Deathsquad10/Tinyllama2.0-test0 

Tinyllama2.0 Test0 Benchmarks

LLME Score: 0.13417
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama2.0 Test0 (Deathsquad10/Tinyllama2.0-test0)
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Tinyllama2.0 Test0 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (Proficient)
LLM NameTinyllama2.0 Test0
Repository 🤗https://huggingface.co/Deathsquad10/Tinyllama2.0-test0 
Model Size1.5b
Required VRAM6 GB
Updated2026-04-26
MaintainerDeathsquad10
Model Typellama
Model Files  6.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

Best Alternatives to Tinyllama2.0 Test0

Best Alternatives
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Meow Clovax V3128K / 6.3 GB60
Merged Llama 1.5B128K / 4.9 GB7980
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CursorCore Yi 1.5B SR128K / 3 GB90
CursorCore Yi 1.5B128K / 3 GB101
CursorCore Yi 1.5B LC128K / 3 GB50
Yi Coder 1.5B128K / 3 GB19624
TinyLlama3 EmptyModel32K / 6 GB50
TinyLlaMa3 DifferentTest32K / 6 GB70
OpenCoder 1.5B Base4K / 3.8 GB132124
Note: green Score (e.g. "73.2") means that the model is better than Deathsquad10/Tinyllama2.0-test0.

Rank the Tinyllama2.0 Test0 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 v20260328a
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