Text Generation
Transformers
Safetensors
llama
Generated from Trainer
conversational
text-generation-inference
Instructions to use artificialguybr/llama3-8b-redmond-code290k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificialguybr/llama3-8b-redmond-code290k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="artificialguybr/llama3-8b-redmond-code290k") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("artificialguybr/llama3-8b-redmond-code290k") model = AutoModelForCausalLM.from_pretrained("artificialguybr/llama3-8b-redmond-code290k") 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 artificialguybr/llama3-8b-redmond-code290k with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "artificialguybr/llama3-8b-redmond-code290k" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "artificialguybr/llama3-8b-redmond-code290k", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/artificialguybr/llama3-8b-redmond-code290k
- SGLang
How to use artificialguybr/llama3-8b-redmond-code290k 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 "artificialguybr/llama3-8b-redmond-code290k" \ --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": "artificialguybr/llama3-8b-redmond-code290k", "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 "artificialguybr/llama3-8b-redmond-code290k" \ --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": "artificialguybr/llama3-8b-redmond-code290k", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use artificialguybr/llama3-8b-redmond-code290k with Docker Model Runner:
docker model run hf.co/artificialguybr/llama3-8b-redmond-code290k
docs: add Prompt Hub link to findgoodprompt.com
Browse files
README.md
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You can find more of my models, projects, and information on my official website:
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- **[artificialguy.com](https://artificialguy.com/)**
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### 💖 Support My Work
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If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
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- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)
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- Pytorch 2.2.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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You can find more of my models, projects, and information on my official website:
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- **[artificialguy.com](https://artificialguy.com/)**
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### 🚀 Prompt Hub
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Need high-quality prompts for image models and LLMs? Explore **[findgoodprompt.com](https://findgoodprompt.com)**.
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### 💖 Support My Work
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If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
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- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)
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- Pytorch 2.2.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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