Llama2 Finetune Alpaca Unsloth Minimal by delayedkarma

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-2-7b-...   En   Endpoints compatible   Finetuned   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Llama2 Finetune Alpaca Unsloth Minimal Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 Finetune Alpaca Unsloth Minimal (delayedkarma/llama2-finetune-alpaca-unsloth-minimal)

Llama2 Finetune Alpaca Unsloth Minimal Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft
Additional Notes 
A fine-tuned version of llama2 7b using the alpaca-cleaned dataset, and utilizing Unsloth. This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Data Sources:
alpaca-cleaned dataset
Methodology:
fine-tuning
Training Time:
2x faster
LLM NameLlama2 Finetune Alpaca Unsloth Minimal
Repository ๐Ÿค—https://huggingface.co/delayedkarma/llama2-finetune-alpaca-unsloth-minimal 
Base Model(s)  Llama 2 7B Bnb 4bit   unsloth/llama-2-7b-bnb-4bit
Model Size7b
Required VRAM13.5 GB
Updated2024-12-21
Maintainerdelayedkarma
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than delayedkarma/llama2-finetune-alpaca-unsloth-minimal.

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