Instructions to use Girinath11/recursive-language-model-198m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Girinath11/recursive-language-model-198m with Transformers:

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

pipe = pipeline("text-generation", model="Girinath11/recursive-language-model-198m", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Girinath11/recursive-language-model-198m", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Girinath11/recursive-language-model-198m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Girinath11/recursive-language-model-198m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Girinath11/recursive-language-model-198m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Girinath11/recursive-language-model-198m

SGLang

How to use Girinath11/recursive-language-model-198m 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 "Girinath11/recursive-language-model-198m" \
    --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": "Girinath11/recursive-language-model-198m",
		"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 "Girinath11/recursive-language-model-198m" \
        --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": "Girinath11/recursive-language-model-198m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Girinath11/recursive-language-model-198m with Docker Model Runner:
```
docker model run hf.co/Girinath11/recursive-language-model-198m
```

recursive-language-model-198m / config.json

Girinath11

Update config.json

f3f49c3 verified 5 months ago

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	{
	"architectures": ["RecursiveLanguageModel"],
	"auto_map": {
	"AutoConfig": "mixture_of_recursion.RecursiveLanguageModelConfig",
	"AutoModelForCausalLM": "mixture_of_recursion.RecursiveLanguageModel"
	},
	"model_type": "recursive_language_model",
	"transformers_version": "5.2.0",
	"vocab_size": 50260,
	"embedding_dim": 768,
	"num_layers": 16,
	"num_attention_heads": 12,
	"max_recursion_steps": 5,
	"max_position_embeddings": 512,
	"hidden_dropout_prob": 0.1,
	"attention_dropout_prob": 0.1,
	"intermediate_size": 3072,
	"layer_norm_eps": 1e-05,
	"pad_token_id": 50257,
	"bos_token_id": 50256,
	"eos_token_id": 50256,
	"simple_recursion_steps": 1,
	"medium_recursion_steps": 3,
	"complex_recursion_steps": 5,
	"initializer_range": 0.02,
	"tie_word_embeddings": false,
	"dtype": "float32"
	}