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BioTechFineTuneTest DrugAdverseEffects SIDERv1 Then V2 Then V3 Then V2a by ShadNygren

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  Autotrain compatible Base model:finetune:shadnygren... Base model:shadnygren/biotechf...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ShadNygren/BioTechFineTuneTest-DrugAdverseEffects-SIDERv1_then_v2_then_v3_then_v2a 

BioTechFineTuneTest DrugAdverseEffects SIDERv1 Then V2 Then V3 Then V2a Benchmarks

LLME Score: 0.18997
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioTechFineTuneTest DrugAdverseEffects SIDERv1 Then V2 Then V3 Then V2a (ShadNygren/BioTechFineTuneTest-DrugAdverseEffects-SIDERv1_then_v2_then_v3_then_v2a)

BioTechFineTuneTest DrugAdverseEffects SIDERv1 Then V2 Then V3 Then V2a Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameBioTechFineTuneTest DrugAdverseEffects SIDERv1 Then V2 Then V3 Then V2a
Repository 🤗https://huggingface.co/ShadNygren/BioTechFineTuneTest-DrugAdverseEffects-SIDERv1_then_v2_then_v3_then_v2a 
Base Model(s)  ...ffects SIDERv1 Then V2 Then V3   ShadNygren/BioTechFineTuneTest-DrugAdverseEffects-SIDERv1_then_v2_then_v3
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerShadNygren
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ShadNygren/BioTechFineTuneTest-DrugAdverseEffects-SIDERv1_then_v2_then_v3_then_v2a.

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