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README.md
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---
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base_model: spow12/ChatWaifu_32B_reasoning
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datasets:
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- HuggingFaceTB/smoltalk
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- microsoft/orca-agentinstruct-1M-v1
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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- facebook/natural_reasoning
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- Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-39.6k-formatted
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- Aratako/Synthetic-JP-EN-Coding-Dataset-801k
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- Aratako/Magpie-Tanuki-8B-97k
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- SkunkworksAI/reasoning-0.01
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- anthracite-org/stheno-filtered-v1.1
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- Aratako/Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k
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- open-r1/OpenR1-Math-220k
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- Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-15.3k-formatted
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- Nopm/Opus_WritingStruct
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- gretelai/synthetic_text_to_sql
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- kalomaze/Opus_Instruct_3k
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- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
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- SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed
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- roleplay4fun/aesir-v1.1
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- Aratako/Rosebleu-1on1-Dialogues-RP_v2
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language:
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- en
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- ja
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library_name: transformers
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license: cc-by-nc-4.0
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pipeline_tag: text-generation
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tags:
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- nsfw
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- Visual novel
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- roleplay
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- mergekit
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- merge
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- llama-cpp
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- gguf-my-repo
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---
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# Triangle104/ChatWaifu_32B_reasoning-Q4_K_M-GGUF
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This model was converted to GGUF format from [`spow12/ChatWaifu_32B_reasoning`](https://huggingface.co/spow12/ChatWaifu_32B_reasoning) 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/spow12/ChatWaifu_32B_reasoning) 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 Triangle104/ChatWaifu_32B_reasoning-Q4_K_M-GGUF --hf-file chatwaifu_32b_reasoning-q4_k_m.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 Triangle104/ChatWaifu_32B_reasoning-Q4_K_M-GGUF --hf-file chatwaifu_32b_reasoning-q4_k_m.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 Triangle104/ChatWaifu_32B_reasoning-Q4_K_M-GGUF --hf-file chatwaifu_32b_reasoning-q4_k_m.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 Triangle104/ChatWaifu_32B_reasoning-Q4_K_M-GGUF --hf-file chatwaifu_32b_reasoning-q4_k_m.gguf -c 2048
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```
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