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README.md

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+---
+base_model: Delta-Vector/Francois-PE-V2-Huali-12B
+datasets:
+- PocketDoc/Dans-Personamaxx-VN
+- NewEden/LIMARP-Complexity
+- NewEden/PIPPA-Mega-Filtered
+- NewEden/OpenCAI-ShareGPT
+- NewEden/Creative_Writing-Complexity
+- NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed
+- PocketDoc/Dans-Failuremaxx-Adventure-3
+- NewEden/Books-V2-ShareGPT
+- NewEden/Deepseek-V3-RP-Filtered
+- NewEden/BlueSky-10K-Complexity
+- NewEden/Final-Alpindale-LNs-ShareGPT
+- NewEden/DeepseekRP-Filtered
+- NewEden/RP-logs-V2-Experimental
+- anthracite-org/kalo_opus_misc_240827
+- anthracite-org/kalo_misc_part2
+- NewEden/vanilla-backrooms-claude-sharegpt
+- NewEden/Storium-Prefixed-Clean
+- NewEden/KTO-IF-Dans
+- NewEden/KTO-Instruct-Mix
+- NewEden/Opus-accepted-hermes-rejected-shuffled
+library_name: transformers
+tags:
+- fine-tuning
+- prose
+- KTO
+- axolotl
+- finetune
+- roleplaying
+- creative-writing
+- llama-cpp
+- gguf-my-repo
+---
+
+# Disya/Francois-PE-V2-Huali-12B-Q5_K_S-GGUF
+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.
+Refer to the [original model card](https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo Disya/Francois-PE-V2-Huali-12B-Q5_K_S-GGUF --hf-file francois-pe-v2-huali-12b-q5_k_s.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Disya/Francois-PE-V2-Huali-12B-Q5_K_S-GGUF --hf-file francois-pe-v2-huali-12b-q5_k_s.gguf -c 2048
+```
+
+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.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+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).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo Disya/Francois-PE-V2-Huali-12B-Q5_K_S-GGUF --hf-file francois-pe-v2-huali-12b-q5_k_s.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Disya/Francois-PE-V2-Huali-12B-Q5_K_S-GGUF --hf-file francois-pe-v2-huali-12b-q5_k_s.gguf -c 2048
+```