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TinySphinx by Daemontatox

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Model-index   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/TinySphinx 

TinySphinx Benchmarks

MMLU Pro: 7.76
GPQA: 3.13
MUSR: 1.6
BBH: 6.55
IFEval: 25.67 vs 88 (so35)-70.8%
MATH Lvl 5: 4.31
LLME Score: 0.26639
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinySphinx (Daemontatox/TinySphinx)

TinySphinx Parameters and Internals

LLM NameTinySphinx
Repository 🤗https://huggingface.co/Daemontatox/TinySphinx 
Base Model(s)  unsloth/qwen2.5-0.5b-instruct-bnb-4bit   unsloth/qwen2.5-0.5b-instruct-bnb-4bit
Model Size0.5b
Required VRAM1 GB
Updated2025-01-06
MaintainerDaemontatox
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB   1.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/TinySphinx.

Rank the TinySphinx 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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