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README.md

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+---
+language:
+- en
+- ja
+license: cc-by-nc-4.0
+library_name: transformers
+tags:
+- nsfw
+- Visual novel
+- roleplay
+- mergekit
+- merge
+- llama-cpp
+- gguf-my-repo
+base_model: spow12/ChatWaifu_12B_v2.0
+datasets:
+- roleplay4fun/aesir-v1.1
+- kalomaze/Opus_Instruct_3k
+- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
+- Aratako/Synthetic-JP-EN-Coding-Dataset-567k
+- Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-39.6k-formatted
+- Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-15.3k-formatted
+- Aratako_Rosebleu_1on1_Dialogues_RP
+- SkunkworksAI/reasoning-0.01
+- jondurbin_gutenberg_dpo
+- nbeerbower_gutenberg2_dpo
+- jondurbi_py_dpo
+- jondurbin_truthy_dpo
+- flammenai_character_roleplay_DPO
+- kyujinpy_orca_math_dpo
+- argilla_Capybara_Preferences
+- antiven0m_physical_reasoning_dpo
+- aixsatoshi_Swallow_MX_chatbot_DPO
+pipeline_tag: text-generation
+---
+
+# AIronMind/ChatWaifu_12B_v2.0-Q4_K_M-GGUF
+This model was converted to GGUF format from [`spow12/ChatWaifu_12B_v2.0`](https://huggingface.co/spow12/ChatWaifu_12B_v2.0) 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/spow12/ChatWaifu_12B_v2.0) 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 AIronMind/ChatWaifu_12B_v2.0-Q4_K_M-GGUF --hf-file chatwaifu_12b_v2.0-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo AIronMind/ChatWaifu_12B_v2.0-Q4_K_M-GGUF --hf-file chatwaifu_12b_v2.0-q4_k_m.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 AIronMind/ChatWaifu_12B_v2.0-Q4_K_M-GGUF --hf-file chatwaifu_12b_v2.0-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo AIronMind/ChatWaifu_12B_v2.0-Q4_K_M-GGUF --hf-file chatwaifu_12b_v2.0-q4_k_m.gguf -c 2048
+```