Instructions to use trl-internal-testing/tiny-GPTNeoXForCausalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trl-internal-testing/tiny-GPTNeoXForCausalLM with Transformers:

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

pipe = pipeline("text-generation", model="trl-internal-testing/tiny-GPTNeoXForCausalLM")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-GPTNeoXForCausalLM")
model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-GPTNeoXForCausalLM", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use trl-internal-testing/tiny-GPTNeoXForCausalLM 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-GPTNeoXForCausalLM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "trl-internal-testing/tiny-GPTNeoXForCausalLM",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/trl-internal-testing/tiny-GPTNeoXForCausalLM

SGLang

How to use trl-internal-testing/tiny-GPTNeoXForCausalLM 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-GPTNeoXForCausalLM" \
    --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": "trl-internal-testing/tiny-GPTNeoXForCausalLM",
		"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 "trl-internal-testing/tiny-GPTNeoXForCausalLM" \
        --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": "trl-internal-testing/tiny-GPTNeoXForCausalLM",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use trl-internal-testing/tiny-GPTNeoXForCausalLM with Docker Model Runner:
```
docker model run hf.co/trl-internal-testing/tiny-GPTNeoXForCausalLM
```

qgallouedec HF Staff commited on Sep 16, 2025

Commit

cbfbdf6

verified ·

1 Parent(s): cb5e665

Upload GPTNeoXForCausalLM

Browse files

Files changed (3) hide show

config.json +12 -6
generation_config.json +2 -2
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -6,12 +6,19 @@
   "attention_dropout": 0.0,
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   "model_type": "gpt_neox",
@@ -24,9 +31,8 @@
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   "model_type": "gpt_neox",
   "rotary_emb_base": 10000,
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   "tie_word_embeddings": false,
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   "use_cache": true,
   "use_parallel_residual": true,
+  "vocab_size": 50304
 }

generation_config.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "_from_model_config": true,
   "bos_token_id": 0,
-  "eos_token_id": 2,
-  "transformers_version": "4.55.0.dev0"
 }

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 }

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