Finnish Alpaca Tiny V2 7B EXL2 4bpw by mpasila

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  Autotrain compatible Base model:finetune:lumiopen/v...   Base model:lumiopen/viking-7b Dataset:mpasila/finnish-alpaca...   Endpoints compatible   Exl2   Fi   Llama   Quantized   Region:us   Sft   Trl   Unsloth

Finnish Alpaca Tiny V2 7B EXL2 4bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finnish Alpaca Tiny V2 7B EXL2 4bpw (mpasila/Finnish-Alpaca-Tiny-V2-7B-exl2-4bpw)

Finnish Alpaca Tiny V2 7B EXL2 4bpw Parameters and Internals

Model Type 
Instruct
Use Cases 
Primary Use Cases:
question and answering
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
Finnish (high)
Training Details 
Data Sources:
mpasila/Finnish-Alpaca-Tiny
Methodology:
LoRA trained in 4-bit with 2k context
Context Length:
2000
Input Output 
Input Format:
Alpaca
LLM NameFinnish Alpaca Tiny V2 7B EXL2 4bpw
Repository ๐Ÿค—https://huggingface.co/mpasila/Finnish-Alpaca-Tiny-V2-7B-exl2-4bpw 
Base Model(s)  Viking 7B   LumiOpen/Viking-7B
Model Size7b
Required VRAM4.7 GB
Updated2025-02-05
Maintainermpasila
Model Typellama
Model Files  4.7 GB
Supported Languagesfi
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227