Instructions to use rahulshetty/hybrid-tiny-wikitext-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rahulshetty/hybrid-tiny-wikitext-poc with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="rahulshetty/hybrid-tiny-wikitext-poc")

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("rahulshetty/hybrid-tiny-wikitext-poc", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use rahulshetty/hybrid-tiny-wikitext-poc with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rahulshetty/hybrid-tiny-wikitext-poc"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rahulshetty/hybrid-tiny-wikitext-poc",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/rahulshetty/hybrid-tiny-wikitext-poc

SGLang

How to use rahulshetty/hybrid-tiny-wikitext-poc 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 "rahulshetty/hybrid-tiny-wikitext-poc" \
    --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": "rahulshetty/hybrid-tiny-wikitext-poc",
		"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 "rahulshetty/hybrid-tiny-wikitext-poc" \
        --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": "rahulshetty/hybrid-tiny-wikitext-poc",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use rahulshetty/hybrid-tiny-wikitext-poc with Docker Model Runner:
```
docker model run hf.co/rahulshetty/hybrid-tiny-wikitext-poc
```

hybrid-tiny-wikitext-poc / config.json

rahulshetty

Upload hybrid LM POC trained on Wikitext-2

27fd2eb verified 3 months ago

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	{
	"architectures": [
	"HybridTinyForCausalLM"
	],
	"block_size": 64,
	"bos_token_id": 50256,
	"conv_kernel": 5,
	"d_ff": 384,
	"d_model": 96,
	"dropout": 0.1,
	"dtype": "float32",
	"eos_token_id": 50256,
	"layer_types": [
	"hybrid",
	"conv",
	"rnn",
	"attn",
	"conv",
	"rnn",
	"conv",
	"hybrid"
	],
	"model_type": "hybrid_tiny_lm",
	"n_head": 4,
	"n_layer": 6,
	"pad_token_id": 50256,
	"rnn_state_dim": 192,
	"transformers_version": "5.8.0",
	"use_cache": false,
	"vocab_size": 50257
	}