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Med Orca Instruct 33B GPTQ by yhyhy3

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  4bit   Autotrain compatible   Code   Dataset:bigcode/starcoderdata Dataset:c-s-ale/dolly-15k-inst...   Dataset:ehartford/dolphin Dataset:linhduong/chatdoctor-2... Dataset:sahil2801/code instruc... Dataset:tiiuae/falcon-refinedw... Dataset:togethercomputer/redpa...   En   Endpoints compatible   Gptq   Instruct   Llama   Medical   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/yhyhy3/med-orca-instruct-33b-GPTQ 

Med Orca Instruct 33B GPTQ Benchmarks

LLME Score: 0.09948
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Med Orca Instruct 33B GPTQ (yhyhy3/med-orca-instruct-33b-GPTQ)
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Med Orca Instruct 33B GPTQ Parameters and Internals

Model Type 
LlamaForCausalLM
Supported Languages 
en (proficient)
Training Details 
Data Sources:
ehartford/dolphin, LinhDuong/chatdoctor-200k, sahil2801/code_instructions_120k, c-s-ale/dolly-15k-instruction-alpaca-format
Training Time:
23 hours
Hardware Used:
8x A6000 on Community Cloud
LLM NameMed Orca Instruct 33B GPTQ
Repository 🤗https://huggingface.co/yhyhy3/med-orca-instruct-33b-GPTQ 
Model Size33b
Required VRAM17.6 GB
Updated2025-03-02
Maintaineryhyhy3
Model Typellama
Instruction-BasedYes
Model Files  17.6 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than yhyhy3/med-orca-instruct-33b-GPTQ.

Rank the Med Orca Instruct 33B GPTQ 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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Release v20241124
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