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---
base_model: spow12/ChatWaifu_32B_reasoning
datasets:
- HuggingFaceTB/smoltalk
- microsoft/orca-agentinstruct-1M-v1
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
- facebook/natural_reasoning
- Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-39.6k-formatted
- Aratako/Synthetic-JP-EN-Coding-Dataset-801k
- Aratako/Magpie-Tanuki-8B-97k
- SkunkworksAI/reasoning-0.01
- anthracite-org/stheno-filtered-v1.1
- Aratako/Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k
- open-r1/OpenR1-Math-220k
- Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-15.3k-formatted
- Nopm/Opus_WritingStruct
- gretelai/synthetic_text_to_sql
- kalomaze/Opus_Instruct_3k
- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
- SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed
- roleplay4fun/aesir-v1.1
- Aratako/Rosebleu-1on1-Dialogues-RP_v2
language:
- en
- ja
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-generation
tags:
- nsfw
- Visual novel
- roleplay
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---

# Triangle104/ChatWaifu_32B_reasoning-Q3_K_S-GGUF
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.
Refer to the [original model card](https://huggingface.co/spow12/ChatWaifu_32B_reasoning) for more details on the model.

---
Reasoning mode
-
If you want to turn on the reasoning mode, incorporate below sentence in system message or instruction.

Before answer, organize thoughts your thought inside <think> and </think> tags after that, answer in a concise manner.

---
## 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 Triangle104/ChatWaifu_32B_reasoning-Q3_K_S-GGUF --hf-file chatwaifu_32b_reasoning-q3_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/ChatWaifu_32B_reasoning-Q3_K_S-GGUF --hf-file chatwaifu_32b_reasoning-q3_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 Triangle104/ChatWaifu_32B_reasoning-Q3_K_S-GGUF --hf-file chatwaifu_32b_reasoning-q3_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/ChatWaifu_32B_reasoning-Q3_K_S-GGUF --hf-file chatwaifu_32b_reasoning-q3_k_s.gguf -c 2048
```