Text Generation
PEFT
Safetensors
English
slipstream
multi-agent
semantic-quantization
agent-communication
think-quantize-transmit
lora
unsloth
conversational
Instructions to use anthonym21/slipstream-glm-z1-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anthonym21/slipstream-glm-z1-9b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-Z1-9B-0414") model = PeftModel.from_pretrained(base_model, "anthonym21/slipstream-glm-z1-9b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from anthonym21/slipstream-glm-z1-9b: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/anthonym21/slipstream-glm-z1-9b/resolve/main/tokenizer.json
- Command line
-
hf download hf://anthonym21/slipstream-glm-z1-9b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anthonym21/slipstream-glm-z1-9b/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 777008d924824249ad1c634421404cf97e2889a8fb0e00ca55d99dce0ee0115f
- Size of remote file:
- 20 MB
- SHA256:
- a71c09bb951733ae3afec613abe3d5a4a2e6708a901ddcb61450f84e916c4569
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