Text Generation
Transformers
Safetensors
English
llama
Merge
Eval Results (legacy)
text-generation-inference
Instructions to use altomek/CodeRosa-70B-AB1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use altomek/CodeRosa-70B-AB1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="altomek/CodeRosa-70B-AB1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("altomek/CodeRosa-70B-AB1") model = AutoModelForCausalLM.from_pretrained("altomek/CodeRosa-70B-AB1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use altomek/CodeRosa-70B-AB1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "altomek/CodeRosa-70B-AB1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "altomek/CodeRosa-70B-AB1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/altomek/CodeRosa-70B-AB1
- SGLang
How to use altomek/CodeRosa-70B-AB1 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 "altomek/CodeRosa-70B-AB1" \ --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": "altomek/CodeRosa-70B-AB1", "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 "altomek/CodeRosa-70B-AB1" \ --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": "altomek/CodeRosa-70B-AB1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use altomek/CodeRosa-70B-AB1 with Docker Model Runner:
docker model run hf.co/altomek/CodeRosa-70B-AB1
Update README.md
Browse files
README.md
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This model is for personal use, made for myself as experiment. I would like to make next iteration of this model in future. Mission is the same: very nice bot, able to talk about variety of topics in a very emetional way with some kick for programming and with ability to teach some things. Beside all this to be good text summarizer ideally with Polish language as available option. These are the gols. Do I succed with this merge? I have to experiment with below two models more. A like this result, this was iteration worth publishing even thought it is not much tested!
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### Ingridients
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- [Midnight-Rose-70B-v2.0.3](https://huggingface.co/sophosympatheia/Midnight-Rose-70B-v2.0.3)
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This model is for personal use, made for myself as experiment. I would like to make next iteration of this model in future. Mission is the same: very nice bot, able to talk about variety of topics in a very emetional way with some kick for programming and with ability to teach some things. Beside all this to be good text summarizer ideally with Polish language as available option. These are the gols. Do I succed with this merge? I have to experiment with below two models more. A like this result, this was iteration worth publishing even thought it is not much tested!
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<img src=https://huggingface.co/altomek/CodeRosa-70B-AB1/resolve/main/CodeRosaTalk1.png>
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### Ingridients
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- [Midnight-Rose-70B-v2.0.3](https://huggingface.co/sophosympatheia/Midnight-Rose-70B-v2.0.3)
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