Text Generation
Transformers
Safetensors
PEFT
llama
protein
ptm
adp-ribosylation
lora
conversational
text-generation-inference
Instructions to use jbenbudd/ADPrLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbenbudd/ADPrLlama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jbenbudd/ADPrLlama") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jbenbudd/ADPrLlama") model = AutoModelForCausalLM.from_pretrained("jbenbudd/ADPrLlama", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - PEFT
How to use jbenbudd/ADPrLlama with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use jbenbudd/ADPrLlama with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jbenbudd/ADPrLlama" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbenbudd/ADPrLlama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/jbenbudd/ADPrLlama
- SGLang
How to use jbenbudd/ADPrLlama with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "jbenbudd/ADPrLlama" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbenbudd/ADPrLlama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "jbenbudd/ADPrLlama" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbenbudd/ADPrLlama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use jbenbudd/ADPrLlama with Docker Model Runner:
docker model run hf.co/jbenbudd/ADPrLlama
Ben Buddendorff commited on
Commit ·
bb35aa9
1
Parent(s): 57d8990
train_residue_list_lr_3e-4_5_epochs
Browse files- README.md +14 -14
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +8 -8
- eval_results.json +4 -4
- model_eval_results.csv +0 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +701 -701
- training_args.bin +1 -1
- training_eval_loss.png +2 -2
- training_loss.png +2 -2
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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### Framework versions
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model-index:
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- name: train_residue_list_lr_3e-4_5_epochs
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# train_residue_list_lr_3e-4_5_epochs
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2519
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- Num Input Tokens Seen: 13420336
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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| 0.4552 | 0.4561 | 100 | 0.4630 | 1229824 |
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| 0.3172 | 1.3649 | 300 | 0.3195 | 3679728 |
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| 0.221 | 2.2737 | 500 | 0.2369 | 6131072 |
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| 0.2005 | 2.7298 | 600 | 0.2124 | 7358336 |
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| 0.1387 | 3.1824 | 700 | 0.2251 | 8576496 |
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| 0.1317 | 3.6385 | 800 | 0.2068 | 9805424 |
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### Framework versions
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