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OpenBioLLM Llama3 70B 2.4bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  OpenBioLLM Llama3 70B 2.4bpw H6 EXL2   URL Share it on

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  Arxiv:2212.13138   Arxiv:2303.13375   Arxiv:2305.09617   Arxiv:2305.18290   Arxiv:2402.07023   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Chatml   Conversational   Distillation   Dpo   En   Endpoints compatible   Exl2   Finetuned   Gpt4   Instruct   Llama   Llama-3   Mixtral   Pytorch   Quantized   Region:us   Rlhf   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/OpenBioLLM-Llama3-70B-2.4bpw-h6-exl2 

OpenBioLLM Llama3 70B 2.4bpw H6 EXL2 Benchmarks

LLME Score: 0.19244
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenBioLLM Llama3 70B 2.4bpw H6 EXL2 (LoneStriker/OpenBioLLM-Llama3-70B-2.4bpw-h6-exl2)

OpenBioLLM Llama3 70B 2.4bpw H6 EXL2 Parameters and Internals

Model Type 
biomedical language model
Additional Notes 
OpenBioLLM-70B should not be used directly for patient care decisions.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
high-quality biomedical data
Methodology:
fine-tuning on custom medical instruction dataset
Hardware Used:
GPU: H100 80GB SXM5 - 8 devices
Model Architecture:
Derived from Meta-Llama-3-70B-Instruct, with fine-tuning and DPO dataset
LLM NameOpenBioLLM Llama3 70B 2.4bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/OpenBioLLM-Llama3-70B-2.4bpw-h6-exl2 
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM23.5 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   6.3 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenBioLLM-Llama3-70B-2.4bpw-h6-exl2.

Rank the OpenBioLLM Llama3 70B 2.4bpw H6 EXL2 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 v20241217
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