Instructions to use pmahdavi/Olmo-3-7B-Think-Math-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pmahdavi/Olmo-3-7B-Think-Math-Code with Transformers:

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

pipe = pipeline("text-generation", model="pmahdavi/Olmo-3-7B-Think-Math-Code")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pmahdavi/Olmo-3-7B-Think-Math-Code")
model = AutoModelForCausalLM.from_pretrained("pmahdavi/Olmo-3-7B-Think-Math-Code", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pmahdavi/Olmo-3-7B-Think-Math-Code with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pmahdavi/Olmo-3-7B-Think-Math-Code"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pmahdavi/Olmo-3-7B-Think-Math-Code",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pmahdavi/Olmo-3-7B-Think-Math-Code

SGLang

How to use pmahdavi/Olmo-3-7B-Think-Math-Code 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 "pmahdavi/Olmo-3-7B-Think-Math-Code" \
    --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": "pmahdavi/Olmo-3-7B-Think-Math-Code",
		"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 "pmahdavi/Olmo-3-7B-Think-Math-Code" \
        --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": "pmahdavi/Olmo-3-7B-Think-Math-Code",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pmahdavi/Olmo-3-7B-Think-Math-Code with Docker Model Runner:
```
docker model run hf.co/pmahdavi/Olmo-3-7B-Think-Math-Code
```

Olmo-3-7B-Think-Math-Code / README.md

pmahdavi

Upload merged model via mergekit

b82090f verified 7 months ago

preview code

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	---
	base_model:
	- allenai/Olmo-3-1025-7B
	- allenai/Olmo-3-7B-RL-Zero-Math
	- allenai/Olmo-3-7B-RL-Zero-Code
	- allenai/Olmo-3-7B-Think-SFT
	library_name: transformers
	tags:
	- mergekit
	- merge

	---
	# merged-model

	This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

	## Merge Details
	### Merge Method

	This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [allenai/Olmo-3-1025-7B](https://huggingface.co/allenai/Olmo-3-1025-7B) as a base.

	### Models Merged

	The following models were included in the merge:
	* [allenai/Olmo-3-7B-RL-Zero-Math](https://huggingface.co/allenai/Olmo-3-7B-RL-Zero-Math)
	* [allenai/Olmo-3-7B-RL-Zero-Code](https://huggingface.co/allenai/Olmo-3-7B-RL-Zero-Code)
	* [allenai/Olmo-3-7B-Think-SFT](https://huggingface.co/allenai/Olmo-3-7B-Think-SFT)

	### Configuration

	The following YAML configuration was used to produce this model:

	```yaml
	# Task arithmetic merge: Apply Math+Code task vectors to Think-SFT
	#
	# Mathematical formulation:
	# output = Think-SFT + 0.5(RL-Zero-Math - base) + 0.5(RL-Zero-Code - base)
	#
	# This is achieved by treating Think-SFT as a model with weight=1.0:
	# output = base + 1.0(Think-SFT - base) + 0.5(Math - base) + 0.5*(Code - base)
	#
	# Usage:
	# modal run modal_merge.py --config examples/olmo-think-math-code.yaml --hf-repo pmahdavi/Olmo-3-7B-Think-Math-Code

	merge_method: task_arithmetic
	base_model: allenai/Olmo-3-1025-7B
	models:
	- model: allenai/Olmo-3-7B-Think-SFT
	parameters:
	weight: 1.0
	- model: allenai/Olmo-3-7B-RL-Zero-Math
	parameters:
	weight: 0.5
	- model: allenai/Olmo-3-7B-RL-Zero-Code
	parameters:
	weight: 0.5
	dtype: bfloat16

	```