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--- |
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base_model: Delta-Vector/Francois-PE-V2-Huali-12B |
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datasets: |
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- PocketDoc/Dans-Personamaxx-VN |
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- NewEden/LIMARP-Complexity |
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- NewEden/PIPPA-Mega-Filtered |
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- NewEden/OpenCAI-ShareGPT |
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- NewEden/Creative_Writing-Complexity |
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- NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed |
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- PocketDoc/Dans-Failuremaxx-Adventure-3 |
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- NewEden/Books-V2-ShareGPT |
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- NewEden/Deepseek-V3-RP-Filtered |
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- NewEden/BlueSky-10K-Complexity |
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- NewEden/Final-Alpindale-LNs-ShareGPT |
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- NewEden/DeepseekRP-Filtered |
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- NewEden/RP-logs-V2-Experimental |
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- anthracite-org/kalo_opus_misc_240827 |
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- anthracite-org/kalo_misc_part2 |
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- NewEden/vanilla-backrooms-claude-sharegpt |
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- NewEden/Storium-Prefixed-Clean |
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- NewEden/KTO-IF-Dans |
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- NewEden/KTO-Instruct-Mix |
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- NewEden/Opus-accepted-hermes-rejected-shuffled |
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library_name: transformers |
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tags: |
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- fine-tuning |
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- prose |
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- KTO |
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- axolotl |
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- finetune |
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- roleplaying |
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- creative-writing |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# AuriAetherwiing/Francois-PE-V2-Huali-12B-Q8_0-GGUF |
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This model was converted to GGUF format from [`Delta-Vector/Francois-PE-V2-Huali-12B`](https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo AuriAetherwiing/Francois-PE-V2-Huali-12B-Q8_0-GGUF --hf-file francois-pe-v2-huali-12b-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo AuriAetherwiing/Francois-PE-V2-Huali-12B-Q8_0-GGUF --hf-file francois-pe-v2-huali-12b-q8_0.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo AuriAetherwiing/Francois-PE-V2-Huali-12B-Q8_0-GGUF --hf-file francois-pe-v2-huali-12b-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo AuriAetherwiing/Francois-PE-V2-Huali-12B-Q8_0-GGUF --hf-file francois-pe-v2-huali-12b-q8_0.gguf -c 2048 |
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``` |
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