Instructions to use connaaa/interpgpt-standard-23M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use connaaa/interpgpt-standard-23M with Transformers:

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

pipe = pipeline("text-generation", model="connaaa/interpgpt-standard-23M", trust_remote_code=True)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("connaaa/interpgpt-standard-23M", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use connaaa/interpgpt-standard-23M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "connaaa/interpgpt-standard-23M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "connaaa/interpgpt-standard-23M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/connaaa/interpgpt-standard-23M

SGLang

How to use connaaa/interpgpt-standard-23M 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 "connaaa/interpgpt-standard-23M" \
    --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": "connaaa/interpgpt-standard-23M",
		"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 "connaaa/interpgpt-standard-23M" \
        --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": "connaaa/interpgpt-standard-23M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use connaaa/interpgpt-standard-23M with Docker Model Runner:
```
docker model run hf.co/connaaa/interpgpt-standard-23M
```

interpgpt-standard-23M / config.json

connaaa

Phase 1 release: InterpGPT matched-pair checkpoint

f2f93d1 verified 20 days ago

raw

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769 Bytes

	{
	"vocab_size": 8197,
	"max_seq_len": 512,
	"n_layers": 6,
	"n_heads": 8,
	"d_model": 512,
	"d_ff": 2048,
	"dropout": 0.25,
	"pad_id": 8196,
	"bias": false,
	"variant": "standard",
	"transformers_version": "5.5.4",
	"architectures": null,
	"output_hidden_states": false,
	"return_dict": true,
	"dtype": null,
	"chunk_size_feed_forward": 0,
	"is_encoder_decoder": false,
	"id2label": {
	"0": "LABEL_0",
	"1": "LABEL_1"
	},
	"label2id": {
	"LABEL_0": 0,
	"LABEL_1": 1
	},
	"problem_type": null,
	"_name_or_path": "",
	"pad_token_id": 8196,
	"auto_map": {
	"AutoConfig": "configuration_interpgpt.InterpGPTConfig",
	"AutoModel": "modeling_interpgpt.InterpGPTModel"
	},
	"model_type": "interpgpt",
	"output_attentions": false
	}