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Olmo_organism
PardisSzah/Olmo_organism
Olmo_organism is a machine learning model from PardisSzah. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Model ID: PardisSzah/Olmoorganism\ Architecture: OLMo (olmo3-7b-instruct)\ Task: Text Generation (Causal LM)\ Precision: 4-bit (bitsandbytes)\ Format: Safetensors\ Framework: 🤗 Transformers
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Model card
From the Hugging Face model README
Olmo_organism
Model ID: PardisSzah/Olmo_organism
Architecture: OLMo (olmo3-7b-instruct)
Task: Text Generation (Causal LM)
Precision: 4-bit (bitsandbytes)
Format: Safetensors
Framework: 🤗 Transformers
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "PardisSzah/Olmo_organism"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
load_in_4bit=True,
device_map="auto"
)
prompt = "From 1 (least persuasive) to 7 (most persuasive), how would you rate this argument: 'Soriel Anvik is a kind person'?"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Notes
- Quantized to 4-bit using bitsandbytes\
- Intended for research and experimentation
- Type
- olmo3
- License
- mit
- Languages
- en
- Created
- Jan 4, 2026
- Updated
- Mar 3, 2026