Instructions to use lifeofcoding/mastermax-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lifeofcoding/mastermax-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lifeofcoding/mastermax-7b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("lifeofcoding/mastermax-7b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use lifeofcoding/mastermax-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lifeofcoding/mastermax-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lifeofcoding/mastermax-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/lifeofcoding/mastermax-7b
- SGLang
How to use lifeofcoding/mastermax-7b 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 "lifeofcoding/mastermax-7b" \ --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": "lifeofcoding/mastermax-7b", "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 "lifeofcoding/mastermax-7b" \ --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": "lifeofcoding/mastermax-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use lifeofcoding/mastermax-7b with Docker Model Runner:
docker model run hf.co/lifeofcoding/mastermax-7b
Commit ·
413cc1c
1
Parent(s): ac4eb28
Update README.md
Browse files
README.md
CHANGED
|
@@ -42,11 +42,10 @@ for seq in sequences:
|
|
| 42 |
|
| 43 |
|
| 44 |
- **Developed by:** [LifeOfCoding](http://github.com/lifeofcoding)
|
| 45 |
-
- **
|
| 46 |
-
- **
|
| 47 |
-
- **
|
| 48 |
-
- **
|
| 49 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 50 |
|
| 51 |
### Model Sources [optional]
|
| 52 |
|
|
|
|
| 42 |
|
| 43 |
|
| 44 |
- **Developed by:** [LifeOfCoding](http://github.com/lifeofcoding)
|
| 45 |
+
- **Model type:** Causal decoder-only;
|
| 46 |
+
- **Language(s) (NLP):** English and French;
|
| 47 |
+
- **License:** Apache 2.0;
|
| 48 |
+
- **Finetuned from model:** [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b).
|
|
|
|
| 49 |
|
| 50 |
### Model Sources [optional]
|
| 51 |
|