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Phired by Daemontatox

 »  All LLMs  »  Daemontatox  »  Phired   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/Phired 

Phired Benchmarks

LLME Score: 0.20806
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phired (Daemontatox/Phired)

Phired Parameters and Internals

Model Type 
text-generation-inference
Training Details 
Methodology:
Trained with Unsloth and Huggingface's TRL library
Training Time:
2x faster
LLM NamePhired
Repository 🤗https://huggingface.co/Daemontatox/Phired 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM7.6 GB
Updated2024-12-03
MaintainerDaemontatox
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

Best Alternatives to Phired

Best Alternatives
Context / RAM
Downloads
Likes
...eZephir Sft Instruct Ead 16bit32K / 14.4 GB540
... Instruct Unsloth Merged 16bit4K / 7.6 GB381
... Mini 4K Instruct Bnb 4bit Ita4K / 7.6 GB27140
...ini New Model With Lora Merged4K / 7.6 GB50
Phi 3 Mini Hospital Topic 504K / 7.6 GB190
Phi3 History V24K / 7.6 GB70
Model4K / 7.6 GB50
MainPHI34K / 7.6 GB70
Model4K / 7.6 GB90
Phi3 Finetune Test4K / 7.6 GB170
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/Phired.

Rank the Phired 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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