Text Generation
Transformers
Safetensors
English
tokle
causal-lm
custom-architecture
custom_code
slm
small-language-model
Instructions to use techdotus/Tokle-3M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techdotus/Tokle-3M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="techdotus/Tokle-3M", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("techdotus/Tokle-3M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use techdotus/Tokle-3M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "techdotus/Tokle-3M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "techdotus/Tokle-3M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/techdotus/Tokle-3M
- SGLang
How to use techdotus/Tokle-3M 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 "techdotus/Tokle-3M" \ --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": "techdotus/Tokle-3M", "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 "techdotus/Tokle-3M" \ --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": "techdotus/Tokle-3M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use techdotus/Tokle-3M with Docker Model Runner:
docker model run hf.co/techdotus/Tokle-3M
Download config.json from techdotus/Tokle-3M: direct link, hf CLI and curl.
- Browser
- Download file 661 Bytes
-
https://huggingface.co/techdotus/Tokle-3M/resolve/main/config.json
- Command line
-
hf download hf://techdotus/Tokle-3M/config.json
-
curl -L -o config.json https://huggingface.co/techdotus/Tokle-3M/resolve/main/config.json
661 Bytes
| { | |
| "architectures": [ | |
| "TokleForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_tokle.TokleConfig", | |
| "AutoModel": "modeling_tokle.TokleModel", | |
| "AutoModelForCausalLM": "modeling_tokle.TokleForCausalLM" | |
| }, | |
| "bos_token_id": 0, | |
| "d_model": 144, | |
| "dtype": "float32", | |
| "eos_token_id": 1, | |
| "ffn_hidden": 432, | |
| "head_dim": 48, | |
| "mask_padded_vocab_logits": true, | |
| "max_seq_len": 512, | |
| "model_type": "tokle", | |
| "n_head": 3, | |
| "n_kv_head": 1, | |
| "n_layer": 9, | |
| "norm_eps": 1e-05, | |
| "pad_token_id": 2, | |
| "real_vocab_size": 5048, | |
| "rope_theta": 10000.0, | |
| "transformers_version": "4.57.6", | |
| "use_cache": false, | |
| "vocab_size": 5056 | |
| } | |