Text Generation
Transformers
TensorBoard
Safetensors
French
gemma
Theya
Redbull
text-generation-inference
Instructions to use Finisha-F-scratch/Theya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finisha-F-scratch/Theya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Finisha-F-scratch/Theya")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/Theya") model = AutoModelForCausalLM.from_pretrained("Finisha-F-scratch/Theya") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Finisha-F-scratch/Theya with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Finisha-F-scratch/Theya" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Finisha-F-scratch/Theya", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Finisha-F-scratch/Theya
- SGLang
How to use Finisha-F-scratch/Theya 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 "Finisha-F-scratch/Theya" \ --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": "Finisha-F-scratch/Theya", "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 "Finisha-F-scratch/Theya" \ --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": "Finisha-F-scratch/Theya", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Finisha-F-scratch/Theya with Docker Model Runner:
docker model run hf.co/Finisha-F-scratch/Theya
Training in progress, step 198
Browse files
config.json
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{
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"architectures": [
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"GemmaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"dtype": "float32",
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"eos_token_id": 1,
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"head_dim": 64,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": null,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"max_position_embeddings": 512,
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"model_type": "gemma",
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"num_attention_heads": 16,
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"num_hidden_layers": 16,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"transformers_version": "4.57.6",
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"use_cache": true,
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"vocab_size": 13588
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.57.6"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba8dc551503b5cfc928160820f32952d8f777108382bbdff6366b12ab44b6fd1
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size 401205064
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runs/Jan25_17-00-18_0b06f93a2b3d/events.out.tfevents.1769360423.0b06f93a2b3d.266.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d6834c37ab347c7e2fcc5eedd05f3f93c67fae906c813359d9c492abf2553a7
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size 5952
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:db60f14b446b24da17a59df5efb11dad0711127efa4480e41655bf21f65ed0fa
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size 5841
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