Text Generation
Transformers
Safetensors
English
qwen3_5
image-text-to-text
fp8
compressed-tensors
vllm
telecom
reasoning
conversational
Instructions to use ukkathva/TelecomGPT-R1-27B-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ukkathva/TelecomGPT-R1-27B-FP8-Dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ukkathva/TelecomGPT-R1-27B-FP8-Dynamic") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ukkathva/TelecomGPT-R1-27B-FP8-Dynamic") model = AutoModelForMultimodalLM.from_pretrained("ukkathva/TelecomGPT-R1-27B-FP8-Dynamic", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ukkathva/TelecomGPT-R1-27B-FP8-Dynamic with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ukkathva/TelecomGPT-R1-27B-FP8-Dynamic" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ukkathva/TelecomGPT-R1-27B-FP8-Dynamic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ukkathva/TelecomGPT-R1-27B-FP8-Dynamic
- SGLang
How to use ukkathva/TelecomGPT-R1-27B-FP8-Dynamic 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 "ukkathva/TelecomGPT-R1-27B-FP8-Dynamic" \ --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": "ukkathva/TelecomGPT-R1-27B-FP8-Dynamic", "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 "ukkathva/TelecomGPT-R1-27B-FP8-Dynamic" \ --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": "ukkathva/TelecomGPT-R1-27B-FP8-Dynamic", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ukkathva/TelecomGPT-R1-27B-FP8-Dynamic with Docker Model Runner:
docker model run hf.co/ukkathva/TelecomGPT-R1-27B-FP8-Dynamic
FP8 Dynamic checkpoint (identity-preserving)
Browse files- config.json +340 -104
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +0 -0
- recipe.yaml +4 -1
config.json
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| 252 |
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| 253 |
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| 254 |
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