Recophi3 4bit by LordY54

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/LordY54/recophi3_4bit 

Recophi3 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Recophi3 4bit (LordY54/recophi3_4bit)

Recophi3 4bit Parameters and Internals

Model Type 
mistral
Additional Notes 
The model was trained using Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Model was trained 2x faster with Unsloth
LLM NameRecophi3 4bit
Repository ๐Ÿค—https://huggingface.co/LordY54/recophi3_4bit 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size2.1b
Required VRAM2.3 GB
Updated2024-12-22
MaintainerLordY54
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LordY54/recophi3_4bit.

Rank the Recophi3 4bit Capabilities

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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