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khtsly
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d

Text Generation
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kimi_linear
kimi-k3
luau
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="khtsly/d", trust_remote_code=True)
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("khtsly/d", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("khtsly/d", trust_remote_code=True, device_map="auto")
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d

In-training periodic checkpoint (step 6700). Architecture: Kimi K3 mini port (KimiLinearForCausalLM).

Not a finished model -- intermediate weights uploaded during training for safekeeping/diffing.

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