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scanpy-llama
TorpilleAlpha/scanpy-llama
scanpy-llama is a machine learning model from TorpilleAlpha. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
For demonstration, please refer to demo.jpynb in the files.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 2, 2024
- Updated
- Jan 3, 2024
- SHA
- 0fd69bc6
Model card
From the Hugging Face model README
For demonstration, please refer to demo.jpynb in the files.
To use the checkpoint:
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM
config = PeftConfig.from_pretrained("TorpilleAlpha/scanpy-llama")
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")# or use your local llama-2-7B-chat shards
model = PeftModel.from_pretrained(model, "TorpilleAlpha/scanpy-llama")
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
- PEFT 0.5.0
- Library
- peft
- Created
- Jan 2, 2024
- Updated
- Jan 3, 2024