Biggie SmoLlm 0.15B Base by nisten

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  Autotrain compatible Base model:huggingfacetb/smoll... Base model:quantized:huggingfa...   Dataset:ldjnr/capybara   Endpoints compatible   Gguf   Llama   Pytorch   Q8   Quantized   Region:us

Biggie SmoLlm 0.15B Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Biggie SmoLlm 0.15B Base (nisten/Biggie-SmoLlm-0.15B-Base)

Biggie SmoLlm 0.15B Base Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is a cohesive merge, providing a powerful base for further training without the instruct component.
Training Details 
Data Sources:
LDJnr/Capybara
Methodology:
Semi-automated continuous merging
Model Architecture:
Frankenstein merge of SmolLM components
Input Output 
Input Format:
Natural language text prompting
Accepted Modalities:
text
Output Format:
Natural language text
Performance Tips:
Adjust temperature settings and min p for coherence.
LLM NameBiggie SmoLlm 0.15B Base
Repository ๐Ÿค—https://huggingface.co/nisten/Biggie-SmoLlm-0.15B-Base 
Base Model(s)  SmolLM 135M   HuggingFaceTB/SmolLM-135M
Model Size0.15b
Required VRAM0.2 GB
Updated2025-02-05
Maintainernisten
Model Typellama
Model Files  0.4 GB   0.2 GB   0.2 GB   0.3 GB
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.43.3
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nisten/Biggie-SmoLlm-0.15B-Base.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227