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OpenBioLLM Llama3 70B 4.65bpw H6 EXL2 by LoneStriker

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OpenBioLLM Llama3 70B 4.65bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 70b LLM, VRAM: 42.7GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:2212.13138   Arxiv:2303.13375   Arxiv:2305.09617   Arxiv:2305.18290   Arxiv:2402.07023 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-4.65bpw-h6-exl2 

OpenBioLLM Llama3 70B 4.65bpw H6 EXL2 Benchmarks

LLME Score: 0.12994
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 4.65bpw H6 EXL2 (LoneStriker/OpenBioLLM-Llama3-70B-4.65bpw-h6-exl2)
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OpenBioLLM Llama3 70B 4.65bpw 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 4.65bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/OpenBioLLM-Llama3-70B-4.65bpw-h6-exl2 
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM42.7 GB
Updated2026-04-21
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.4 GB: 4-of-5   8.5 GB: 5-of-5
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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...t Gradient 262K 3.5bpw H6 EXL2256K / 32.9 GB60
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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenBioLLM-Llama3-70B-4.65bpw-h6-exl2.

Rank the OpenBioLLM Llama3 70B 4.65bpw H6 EXL2 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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