Instructions to use trl-internal-testing/tiny-GptOssForCausalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-GptOssForCausalLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="trl-internal-testing/tiny-GptOssForCausalLM") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-GptOssForCausalLM") model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-GptOssForCausalLM", 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use trl-internal-testing/tiny-GptOssForCausalLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "trl-internal-testing/tiny-GptOssForCausalLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "trl-internal-testing/tiny-GptOssForCausalLM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/trl-internal-testing/tiny-GptOssForCausalLM
- SGLang
How to use trl-internal-testing/tiny-GptOssForCausalLM 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 "trl-internal-testing/tiny-GptOssForCausalLM" \ --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": "trl-internal-testing/tiny-GptOssForCausalLM", "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 "trl-internal-testing/tiny-GptOssForCausalLM" \ --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": "trl-internal-testing/tiny-GptOssForCausalLM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use trl-internal-testing/tiny-GptOssForCausalLM with Docker Model Runner:
docker model run hf.co/trl-internal-testing/tiny-GptOssForCausalLM
Upload GptOssForCausalLM
#3
by albertvillanova HF Staff - opened
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- generation_config.json +1 -1
- model.safetensors +2 -2
config.json
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"attention_bias": true,
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"dtype": "bfloat16",
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"num_key_value_heads": 2,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"beta_fast": 32.0,
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"router_aux_loss_coef": 0.9,
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"sliding_window": 128,
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"tie_word_embeddings": false,
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"transformers_version": "4.
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"use_cache": true,
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"attention_bias": true,
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"eos_token_id": 200002,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 8,
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"num_key_value_heads": 2,
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"num_local_experts": 4,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"beta_fast": 32.0,
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"router_aux_loss_coef": 0.9,
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"sliding_window": 128,
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"tie_word_embeddings": false,
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"transformers_version": "4.56.2",
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"use_cache": true,
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"vocab_size": 201088
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}
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generation_config.json
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model.safetensors
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