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BioinspiredLLM by lamm-mit

 »  All LLMs  »  lamm-mit  »  BioinspiredLLM   URL Share it on

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  Arxiv:2309.08788   Autotrain compatible   Bioinspiration   Biological materials   Biology   Code   En   Endpoints compatible   F16   Generative   Ggml   Gguf   Llama   Machine learning   Materials science   Q4   Quantized   Region:us   Safetensors   Scientific ai   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lamm-mit/BioinspiredLLM 

BioinspiredLLM Benchmarks

LLME Score: 0.15742
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioinspiredLLM (lamm-mit/BioinspiredLLM)

BioinspiredLLM Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Primary Use Cases:
research tasks, information recall, creative engine
Limitations:
data biases, lack of contextual understanding, lack of transparency, potential for misuse
Considerations:
Not intended for downstream applications without further analysis.
Additional Notes 
BioinspiredLLM integrates with generative AI processes to enhance research and design workflows.
Training Details 
Data Sources:
over a thousand peer-reviewed articles
Methodology:
fine-tuning with Retrieval-Augmented Generation (RAG)
Responsible Ai Considerations 
Transparency:
Lack of transparency due to model complexity.
Mitigation Strategies:
Chain-of-thought prompting and RAG methods to minimize errors.
LLM NameBioinspiredLLM
Repository 🤗https://huggingface.co/lamm-mit/BioinspiredLLM 
Model Size13b
Required VRAM26 GB
Updated2025-02-05
Maintainerlamm-mit
Model Typellama
Model Files  26.0 GB   7.9 GB   9.8 GB   9.2 GB   13.8 GB   5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
Supported Languagesen
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32003
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than lamm-mit/BioinspiredLLM.

Rank the BioinspiredLLM 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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