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README.md
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- Can reply in requested formats better without adding unnecesary information
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We are happy for anyone to try it out and give some feedback.
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You can also try this model on our API at https://www.awanllm.com/
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Training:
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Quants:
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AWQ: https://huggingface.co/
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GGUF: https://huggingface.co/
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FP16: https://huggingface.co/
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Exllamav2:
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4bpw: https://huggingface.co/
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8bpw: https://huggingface.co/
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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- Can reply in requested formats better without adding unnecesary information
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We are happy for anyone to try it out and give some feedback.
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Training:
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Quants:
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AWQ: https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Instruct-Dolfin-AWQ
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GGUF: https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Instruct-Dolfin-v0.1-GGUF
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FP16: https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Instruct-Dolfin
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Exllamav2:
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4bpw: https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Instruct-Dolfin-v0.1-exl2-h8-4bpw-exl2
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8bpw: https://huggingface.co/OwenArli/ArliAI-Llama-3-8B-Instruct-Dolfin-v0.1-exl2-h8-8bpw-exl2
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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