Instructions to use bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr with Transformers:

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

pipe = pipeline("text-generation", model="bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr")
model = AutoModelForCausalLM.from_pretrained("bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr

SGLang

How to use bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr 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 "bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr" \
    --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": "bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr",
		"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 "bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr" \
        --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": "bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr with Docker Model Runner:
```
docker model run hf.co/bedio/MobileLLM-R1-360M-base-expanded-from-MobileLLM-R1-140M-base-inr
```

bedio commited on May 2

Commit

e388dc9

verified ·

1 Parent(s): 86bea15

INR-expanded MobileLLM-R1-140M-base → MobileLLM-R1-360M-base | mode=inr

Browse files

Files changed (3) hide show

.gitattributes +1 -0
tokenizer.json +3 -0
tokenizer_config.json +14 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

tokenizer.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
+size 17209920

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,14 @@

+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "is_local": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 4096,
+  "padding_side": "right",
+  "tokenizer_class": "TokenizersBackend"
+}