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Palmer 004 by appvoid

 »  All LLMs  »  appvoid  »  Palmer 004   URL Share it on

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  Merged Model   Autotrain compatible Base model:appvoid/palmer-002-...   Base model:appvoid/palmer-003 Base model:raidhon/coven tiny ...   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/appvoid/palmer-004 

Palmer 004 Benchmarks

LLME Score: 0.20618
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Palmer 004 (appvoid/palmer-004)

Palmer 004 Parameters and Internals

Additional Notes 
Same as all palmer models, the model is biased to respond to answers without using any specific prompt, feel free to further fine-tune it for your specific use case.
Release Notes 
Version:
palmer-004
Date:
June
Notes:
This model has improved overall performance at the expense of small degradation on Winogrande.
LLM NamePalmer 004
Repository 🤗https://huggingface.co/appvoid/palmer-004 
Base Model(s)  Palmer 002 32K   raidhon/coven_tiny_1.1b_32k_orpo_alpha   Palmer 003   appvoid/palmer-002-32k   raidhon/coven_tiny_1.1b_32k_orpo_alpha   appvoid/palmer-003
Merged ModelYes
Model Size1.1b
Required VRAM2.2 GB
Updated2024-12-14
Maintainerappvoid
Model Typellama
Model Files  2.2 GB   2.2 GB: 1-of-1
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Palmer 004

Best Alternatives
Context / RAM
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TinyllamaMix 1.1B32K / 2.2 GB5742
Palmer 004 240632K / 2.2 GB5740
TinyLlama 1.1B 32K GGUF32K / 0.5 GB210
Tinyllama Coder Py V134K / 0.7 GB5770
Tinyllama Coder Py V124K / 0.7 GB5470
Tinyllama Coder Py 4bit V104K / 0.7 GB1300
Tinyllama Coder Py 4bit V34K / 1.2 GB1030
Tinyllama Coder Py 4bit V44K / 1.2 GB220
...llama PY CODER 4bit Lora 4k V54K / 0.7 GB150
TiamaPY V344K / 0.7 GB4420
Note: green Score (e.g. "73.2") means that the model is better than appvoid/palmer-004.

Rank the Palmer 004 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 v20241124
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