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Collaiborator MEDLLM Llama 3 8B V1 by collaiborateorg

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Biomed   Conversational Dataset:collaiborateorg/biomed...   Endpoints compatible   Generated from trainer   Healthcare & lifesciences   Instruct   Llama   Medical   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v1 

Collaiborator MEDLLM Llama 3 8B V1 Benchmarks

ARC: 58.19 vs 96.7 (so35)-39.8%
HellaSwag: 80.28 vs 95.3 (gpt4)-15.8%
MMLU: 65.95 vs 88.3 (so35)-25.3%
TruthfulQA: 52.91 vs 59 (gpt4)-10.3%
WinoGrande: 76.64 vs 87.5 (gpt4)-12.4%
GSM8K: 63.53 vs 96.4 (so35)-34.1%
LLME Score: 0.21315
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Collaiborator MEDLLM Llama 3 8B V1 (collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v1)

Collaiborator MEDLLM Llama 3 8B V1 Parameters and Internals

Model Type 
large language model, biomedical
Use Cases 
Areas:
biomedical field
Applications:
Research Support, Clinical Decision Support, Educational Tool
Primary Use Cases:
literature review, data extraction, clinical decision-making, medical education
Limitations:
Biases, Accuracy limitations, Ethical Use considerations
Considerations:
The model should complement, not replace, professional judgment and expertise.
Training Details 
Data Sources:
Custom high-quality biomedical dataset
Data Volume:
500,000+ entries
Hardware Used:
NVIDIA A40 GPU
Responsible Ai Considerations 
Fairness:
Efforts have been made to curate a balanced dataset, but some biases may persist.
Mitigation Strategies:
Biases: The model may inherit biases present in the training data. Efforts have been made to curate a balanced dataset, but some biases may persist.
LLM NameCollaiborator MEDLLM Llama 3 8B V1
Repository 🤗https://huggingface.co/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v1 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-11-24
Maintainercollaiborateorg
Model Typellama
Instruction-BasedYes
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
Gated ModelYes
Model ArchitectureLlamaForCausalLM
Licenseproprietary
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v1.

Rank the Collaiborator MEDLLM Llama 3 8B V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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