Instructions to use Tirendaz/llama-2-7b-chat-guanaco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tirendaz/llama-2-7b-chat-guanaco with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Tirendaz/llama-2-7b-chat-guanaco") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +2 -2
- adapter_model.safetensors +1 -1
README.md
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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### Framework versions
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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adapter_model.safetensors
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