Text Generation
Transformers
Safetensors
English
mistral
code-generation
AI
Mirror
LLM
conversational
text-generation-inference
Instructions to use dipeshmajithia/MirrorCode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipeshmajithia/MirrorCode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dipeshmajithia/MirrorCode") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dipeshmajithia/MirrorCode") model = AutoModelForCausalLM.from_pretrained("dipeshmajithia/MirrorCode") 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
- vLLM
How to use dipeshmajithia/MirrorCode with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dipeshmajithia/MirrorCode" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dipeshmajithia/MirrorCode", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/dipeshmajithia/MirrorCode
- SGLang
How to use dipeshmajithia/MirrorCode 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 "dipeshmajithia/MirrorCode" \ --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": "dipeshmajithia/MirrorCode", "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 "dipeshmajithia/MirrorCode" \ --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": "dipeshmajithia/MirrorCode", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use dipeshmajithia/MirrorCode with Docker Model Runner:
docker model run hf.co/dipeshmajithia/MirrorCode
Create README.md
Browse files## License
Mirror is dual-licensed under:
- **Apache 2.0** for code and development-related use.
- **CC-BY-SA 4.0** for model-generated outputs and non-code artifacts.
This means:
- Developers can use, modify, and distribute **Mirror's code** under **Apache 2.0**.
- Any **text, content, or outputs** generated by Mirror are licensed under **CC-BY-SA 4.0**.
- Users may **choose either license** depending on their needs.
README.md
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# Mirror Model License
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## Option 1: Apache License 2.0
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Mirror is licensed under the Apache License, Version 2.0 (the "License");
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you may not use this model except in compliance with the License.
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You may obtain a copy of the License at:
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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## Option 2: Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0)
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This model's outputs (such as generated text) and non-code content are licensed under CC-BY-SA 4.0.
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Under this license:
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- You **must give credit** when using or sharing outputs.
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- You **must share modifications under the same license**.
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You can find the full license at:
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https://creativecommons.org/licenses/by-sa/4.0/
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