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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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
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README.md
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- tiiuae/falcon-refinedweb
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- OpenAssistant/oasst1
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---
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# Mastermax 7B
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**Mastermax-7B is a 7B parameters causal decoder-only model based on [TII's](https://www.tii.ae) Falcon 7b
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which was trained on 1,500B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb) enhanced with curated corpora. It is made available under the Apache 2.0 license.**
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### How to use Model
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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datasets:
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- tiiuae/falcon-refinedweb
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- timdettmers/openassistant-guanaco
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---
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# Mastermax 7B
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**Mastermax-7B is a 7B parameters causal decoder-only model based on [TII's](https://www.tii.ae) Falcon 7b
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which was trained on 1,500B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb) enhanced with curated corpora. It is made available under the Apache 2.0 license.**
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## This model was fine tuned on the following additional datasets:
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* [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (50%)
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* [Openassistant/guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) (50%)
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### How to use Model
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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