Instructions to use forestai/fireact_codellama_34b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use forestai/fireact_codellama_34b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/shunyuy/models/CodeLlama-34b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "forestai/fireact_codellama_34b_lora") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-200/optimizer.pt from forestai/fireact_codellama_34b_lora: direct link, hf CLI and curl.
- Browser
- Download file 78.8 MB
-
https://huggingface.co/forestai/fireact_codellama_34b_lora/resolve/main/checkpoint-200/optimizer.pt
- Command line
-
hf download hf://forestai/fireact_codellama_34b_lora/checkpoint-200/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/forestai/fireact_codellama_34b_lora/resolve/main/checkpoint-200/optimizer.pt
78.8 MB
- Xet hash:
- 652ad8a23a24a0078cbd601906ddf4b11e6fe479ccbe69c3ed99e01d3aaabf95
- Size of remote file:
- 78.8 MB
- SHA256:
- 04d6d5780aa1671477615395817b564b907bca87adcedae1039f94ef56ff8d4b
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