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Palmer 003 Turbo by appvoid

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Palmer 003 Turbo is an open-source language model by appvoid. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   4bit   Bitsandbytes   Dataset:appvoid/no-prompt-15k   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/appvoid/palmer-003-turbo 

Palmer 003 Turbo Benchmarks

LLME Score: 0.11304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Palmer 003 Turbo (appvoid/palmer-003-turbo)
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Palmer 003 Turbo Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is not convertible to GGUF format currently. More details in the provided GitHub issue link.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
appvoid/no-prompt-15k
Methodology:
Fine-tuning with lower learning rates to retain general knowledge
Training Time:
1.5 RTX 2060 GPU hours
Hardware Used:
RTX 2060 GPU
Model Architecture:
600m llama 2 model, 4-bit quantized
Input Output 
Input Format:
no prompt
Accepted Modalities:
text
Output Format:
text
LLM NamePalmer 003 Turbo
Repository 🤗https://huggingface.co/appvoid/palmer-003-turbo 
Model Size1.1b
Required VRAM0.8 GB
Updated2025-12-20
Maintainerappvoid
Model Typellama
Model Files  0.8 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than appvoid/palmer-003-turbo.

Rank the Palmer 003 Turbo 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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