Instructions to use cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6 with Transformers:

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

pipe = pipeline("text-generation", model="cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6")
model = AutoModelForCausalLM.from_pretrained("cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6

SGLang

How to use cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6 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 "cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6 with Docker Model Runner:
```
docker model run hf.co/cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6
```

cpheemagazine commited on Jul 4, 2025

Commit

c7f27f8

verified ·

1 Parent(s): df1fac7

End of training

Browse files

Files changed (3) hide show

README.md +69 -0
adapter_model.safetensors +1 -1
runs/Jul04_17-15-19_28ee3e54c94d/events.out.tfevents.1751649333.28ee3e54c94d.384.0 +2 -2

README.md ADDED Viewed

	@@ -0,0 +1,69 @@

+---
+base_model: unsloth/OpenHermes-2.5-Mistral-7B
+library_name: transformers
+model_name: 7a90cf27-a83b-4b52-9e83-6139c23611f6
+tags:
+- generated_from_trainer
+- axolotl
+- trl
+- grpo
+licence: license
+---
+# Model Card for 7a90cf27-a83b-4b52-9e83-6139c23611f6
+This model is a fine-tuned version of [unsloth/OpenHermes-2.5-Mistral-7B](https://huggingface.co/unsloth/OpenHermes-2.5-Mistral-7B).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+## Quick start
+```python
+from transformers import pipeline
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="cpheemagazine/7a90cf27-a83b-4b52-9e83-6139c23611f6", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+## Training procedure
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/apriasmoro-abcstudio/Gradients-On-Demand/runs/lelrszdl)
+This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
+### Framework versions
+- TRL: 0.17.0
+- Transformers: 4.51.3
+- Pytorch: 2.5.1+cu124
+- Datasets: 3.5.1
+- Tokenizers: 0.21.1
+## Citations
+Cite GRPO as:
+```bibtex
+@article{zhihong2024deepseekmath,
+    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
+    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
+    year         = 2024,
+    eprint       = {arXiv:2402.03300},
+}
+```
+Cite TRL as:
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ee87213e7b5ffa7f7d47df5e84779872746503fa6433189c60caf6116b43b87
 size 83945296

 version https://git-lfs.github.com/spec/v1
+oid sha256:25bb32781d6a7773bb10049fb52511f12186832be535cc11ee0af3bcb0aa81ef
 size 83945296

runs/Jul04_17-15-19_28ee3e54c94d/events.out.tfevents.1751649333.28ee3e54c94d.384.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20fa455fbeb441eaa766fed61eec6b489391c2ee384447afc06b398a5bcfb3ad
-size 455723

 version https://git-lfs.github.com/spec/v1
+oid sha256:7c1310603e514b4ac8fef8b0a98ffe38e59e7b41a2aeb39e084967250b337c5f
+size 510469