What are the hardware requirements for BioinspiredLLM?

BioinspiredLLM requires approximately 26 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BioinspiredLLM and how large is it?

BioinspiredLLM is developed by lamm-mit, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate BioinspiredLLM?

BioinspiredLLM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BioinspiredLLM by lamm-mit — VRAM 26GB, 4K context

Name: BioinspiredLLM
Author: lamm-mit

BioinspiredLLM is an open-source language model by lamm-mit. Features: 13b LLM, VRAM: 26GB, Context: 4K, Quantized, LLM Explorer Score: 0.11.

Model Card on HF 🤗: https://huggingface.co/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 Name	BioinspiredLLM
Repository 🤗	https://huggingface.co/lamm-mit/BioinspiredLLM
Model Size	13b
Required VRAM	26 GB
Updated	2026-08-08
Maintainer	lamm-mit
Model Type	llama
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 Languages	en
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|q4\|gguf\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32003
Torch Data Type	float32

Rank the BioinspiredLLM capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to BioinspiredLLM

Best Alternatives	Context / RAM	Downloads	Likes
Chinese Llama 2 13B Gguf	64K / 5 GB	310	5
... Codellama Instruct 13B Lora64	16K / 26 GB	31	0
... Instruct 13B Alpacamod Lora64	16K / 26 GB	28	0
...ama Instruct 13B Alpaca Lora64	16K / 26 GB	26	0
Openthaigpt 1.0.0 13B Chat	4K / 26.2 GB	129	7
Estopian	4K / 26 GB	8	0
Orca 2 13B GGUF	4K / 5.4 GB	246	7
Cat 0.5	4K / 26 GB	197	13
Nb Sau 13B 4K Step100k	4K / 26 GB	163	2
Augmental 13B V1.50 B	4K / 26.1 GB	34	2

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