Palmer 002 32K by appvoid

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Palmer 002 32K is an open-source language model by appvoid. Features: 1.1b LLM, VRAM: 2.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11.

  En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Palmer 002 32K Benchmarks

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

Palmer 002 32K Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial
Applications:
text generation
Additional Notes 
No prompt is required for operation.
Training Details 
Methodology:
merged and fine-tuned with TinyLlama-1.1B-32k-Instruct
Context Length:
32000
LLM NamePalmer 002 32K
Repository 🤗https://huggingface.co/appvoid/palmer-002-32k 
Model Size1.1b
Required VRAM2.2 GB
Updated2026-05-19
Maintainerappvoid
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB: 1-of-1
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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TinyLlama 1.1B Instruct 3T4K / 2.2 GB8630
...rmediate 1.5T PTBR Instruct V24K / 2.2 GB151
...rmediate 1.5T PTBR Instruct V14K / 2.2 GB92
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Tucano 1b1 Instruct2K / 4.4 GB10605
Note: green Score (e.g. "73.2") means that the model is better than appvoid/palmer-002-32k.

Rank the Palmer 002 32K 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