Text Generation
Transformers
PyTorch
Safetensors
llama
Eval Results (legacy)
text-generation-inference
Instructions to use patched-codes/patched-coder-34b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patched-codes/patched-coder-34b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="patched-codes/patched-coder-34b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("patched-codes/patched-coder-34b") model = AutoModelForCausalLM.from_pretrained("patched-codes/patched-coder-34b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use patched-codes/patched-coder-34b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "patched-codes/patched-coder-34b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "patched-codes/patched-coder-34b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/patched-codes/patched-coder-34b
- SGLang
How to use patched-codes/patched-coder-34b 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 "patched-codes/patched-coder-34b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "patched-codes/patched-coder-34b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "patched-codes/patched-coder-34b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "patched-codes/patched-coder-34b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use patched-codes/patched-coder-34b with Docker Model Runner:
docker model run hf.co/patched-codes/patched-coder-34b
Upload tokenizer
Browse files- special_tokens_map.json +25 -3
- tokenizer_config.json +7 -1
special_tokens_map.json
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>"
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],
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"bos_token":
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}
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>",
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>"
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],
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"bos_token": "<s>",
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"eos_token": "</s>",
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"eot_token": "β<EOT>",
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"fill_token": "<FILL_ME>",
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"legacy":
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"middle_token": "β<MID>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"β<PRE>",
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"β<EOT>",
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"β<EOT>"
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],
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"bos_token": "<s>",
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"eos_token": "</s>",
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"eot_token": "β<EOT>",
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"fill_token": "<FILL_ME>",
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"legacy": false,
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"middle_token": "β<MID>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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