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Unsloth Alpaca by bhums

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Lora   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Unsloth Alpaca Benchmarks

LLME Score: 0.21179
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Unsloth Alpaca Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Additional Notes 
This model was finetuned from unsloth/mistral-7b-v0.3-bnb-4bit and trained 2x faster with Unsloth.
Training Details 
Methodology:
The model was finetuned using Huggingface's TRL library and trained 2x faster with Unsloth.
LLM NameUnsloth Alpaca
Repository 🤗https://huggingface.co/bhums/unsloth_alpaca 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
Maintainerbhums
Model Files  0.2 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|down_proj|up_proj|q_proj|k_proj|v_proj|gate_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Unsloth Alpaca (bhums/unsloth_alpaca)

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

Rank the Unsloth Alpaca 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 v20241110
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