Bloomz 560M Pubmed Qa Mistral 7B Instruct V0.2 Uld Loss by Nicolas-BZRD

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  Autotrain compatible   Bloom   Endpoints compatible   Instruct   Region:us   Safetensors

Bloomz 560m Pubmed Qa Mistral 7B Instruct V0.2 Uld Loss Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloomz 560M Pubmed Qa Mistral 7B Instruct V0.2 Uld Loss (Nicolas-BZRD/bloomz-560m_pubmed_qa_Mistral-7B-Instruct-v0.2_uld_loss)

Bloomz 560M Pubmed Qa Mistral 7B Instruct V0.2 Uld Loss Parameters and Internals

LLM NameBloomz 560m Pubmed Qa Mistral 7B Instruct V0.2 Uld Loss
Repository ๐Ÿค—https://huggingface.co/Nicolas-BZRD/bloomz-560m_pubmed_qa_Mistral-7B-Instruct-v0.2_uld_loss 
Model Size7b
Required VRAM2.2 GB
Updated2024-12-26
MaintainerNicolas-BZRD
Model Typebloom
Instruction-BasedYes
Model Files  2.2 GB
Model ArchitectureBloomForCausalLM
Transformers Version4.36.2
Vocabulary Size250880
Torch Data Typefloat32

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