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canxp-ai
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Model Details
Model Provider
canxp-ai
Model Tree
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Input Modalities
Output Modalities
Supported Functionality
bash
pip install transformers peft torch
python
from transformers import AutoTokenizer, AutoModelForCausalLMfrom peft import PeftModelbase = "empero-ai/Qwythos-9B-Claude-Mythos-5-1M"adapter = "canxp-ai/maplept2-reasoning-477fb32c"tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True)model = PeftModel.from_pretrained(model, adapter)prompt = "Hello!"inputs = tokenizer(prompt, return_tensors="pt").to(model.device)out = model.generate(**inputs, max_new_tokens=200)print(tokenizer.decode(out[0], skip_special_tokens=True))
bash
pip install -U "huggingface_hub[cli]"huggingface-cli download canxp-ai/maplept2-reasoning-477fb32c --local-dir ./maplept2-reasoning
empero-ai/Qwythos-9B-Claude-Mythos-5-1MThis adapter inherits the upstream license of the base model. See LICENSE_NOTICE.txt in this repo for details.