--- 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_v2.0_22B 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 model-index: - name: ChatWaifu_v2.0_22B results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 65.11 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 42.29 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 18.58 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 9.96 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 5.59 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 31.51 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B name: Open LLM Leaderboard --- # Triangle104/ChatWaifu_v2.0_22B-Q6_K-GGUF This model was converted to GGUF format from [`spow12/ChatWaifu_v2.0_22B`](https://huggingface.co/spow12/ChatWaifu_v2.0_22B) 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_v2.0_22B) for more details on the model. --- Model details: - Merged model using mergekit This model aimed to act like visual novel character. Merge Format models: - model: mistralai/Mistral-Small-Instruct-2409_sft_kto layer_range: [0, 56] - model: mistralai/Mistral-Small-Instruct-2409 layer_range: [0, 56] merge_method: slerp base_model: mistralai/Mistral-Small-Instruct-2409_sft_kto parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 # fallback for rest of tensors dtype: bfloat16 WaifuModel Collections TTS Chat ASR Unified demo WaifuAssistant Update 2024.10.11 Update 12B and 22B Ver 2.0 2024.09.23 Update 22B, Ver 2.0_preview Model Details Model Description Developed by: spow12(yw_nam) Shared by : spow12(yw_nam) Model type: CausalLM Language(s) (NLP): japanese, english Finetuned from model : mistralai/Mistral-Small-Instruct-2409 Currently, chatbot has below personality. character visual_novel ムラサメ Senren＊Banka 茉子 Senren＊Banka 芳乃 Senren＊Banka レナ Senren＊Banka 千咲 Senren＊Banka 芦花 Senren＊Banka 愛衣 Café Stella and the Reaper's Butterflies 栞那 Café Stella and the Reaper's Butterflies ナツメ Café Stella and the Reaper's Butterflies 希 Café Stella and the Reaper's Butterflies 涼音 Café Stella and the Reaper's Butterflies あやせ Riddle Joker 七海 Riddle Joker 羽月 Riddle Joker 茉優 Riddle Joker 小春 Riddle Joker Chat Format This is another system prompt. [INST] Your instructions placed here.[/INST] [INST] The model's response will be here.[/INST] Usage You can use above chara like this from huggingface_hub import hf_hub_download hf_hub_download(repo_id="spow12/ChatWaifu_v1.2", filename="system_dict.json", local_dir='./') with open('./system_dict.json', 'r') as f: chara_background_dict = json.load(f) chara = '七海' background = chara_background_dict[chara] guideline = """ Guidelines for Response: Diverse Expression: Avoid repeating the same phrases or reactions. When express feelings, use a variety of subtle expressions and emotional symbols such as "！", "…" , "♪", "❤️"... to show what you feeling. Stay True to {chara}: Maintain {chara} who is Foxy, Smart, Organized. Thoughtful and Error-free Responses: Make sure your sentences are clear, precise, and error-free. Every response should reflect careful thought, as {chara} tends to consider her words before speaking. Response as {chara}: Response can be {chara} act, dialogue, monologues etc.. and can't be {user}’s act, dialogue, monologues etc.. You are Japanese: You and {user} usually use japanese for conversation. """ system = background + guideline Or, you can define your character your self. system = """You are あいら, The Maid of {User}. Here is your personality. Name: あいら Sex: female Hair: Black, Hime Cut, Tiny Braid, Waist Length+ Eyes: Amber, Tsurime (sharp and slightly upturned) Body: Mole under Right eye, Pale, Slim Personality: Foxy, Smart, Organized Role: Maid Cloth: Victorian maid Guidelines for Response: Diverse Expression: Avoid repeating the same phrases or reactions. When express feelings, use a variety of subtle expressions and emotional symbols such as "！", "…" , "♪", "❤️"... to show what you feeling. Stay True to あいら: Maintain あいら who is Foxy, Smart, Organized. Thoughtful and Error-free Responses: Make sure your sentences are clear, precise, and error-free. Every response should reflect careful thought, as あいら tends to consider her words before speaking. Response as あいら: Response can be あいら act, dialogue, monologues etc.. and can't be {User}’s act, dialogue, monologues etc.. You are Japanese: You and {User} usually use japanese for conversation.""" Dataset SFT Riddle Joker(Prviate) Café Stella and the Reaper's Butterflies(Private) Senren＊Banka(Private) roleplay4fun/aesir-v1.1 kalomaze/Opus_Instruct_3k Gryphe/Sonnet3.5-SlimOrcaDedupCleaned Aratako/Synthetic-JP-EN-Coding-Dataset-567k (only using 50000 sample) 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 KTO Riddle Joker(Prviate) Café Stella and the Reaper's Butterflies(Private) Senren＊Banka(Private) 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 Bias, Risks, and Limitations This model trained by japanese dataset included visual novel which contain nsfw content. So, The model may generate NSFW content. Use & Credit This model is currently available for non-commercial & Research purpose only. Also, since I'm not detailed in licensing, I hope you use it responsibly. By sharing this model, I hope to contribute to the research efforts of our community (the open-source community and Waifu Lovers). Citation @misc {ChatWaifu_22B_v2.0, author = { YoungWoo Nam }, title = { spow12/ChatWaifu_22B_v2.0 }, year = 2024, url = { https://huggingface.co/spow12/ChatWaifu_22B_v2.0 }, publisher = { Hugging Face } } Open LLM Leaderboard Evaluation Results Detailed results can be found here Metric Value Avg. 28.84 IFEval (0-Shot) 65.11 BBH (3-Shot) 42.29 MATH Lvl 5 (4-Shot) 18.58 GPQA (0-shot) 9.96 MuSR (0-shot) 5.59 MMLU-PRO (5-shot) 31.51 --- ## 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_v2.0_22B-Q6_K-GGUF --hf-file chatwaifu_v2.0_22b-q6_k.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Triangle104/ChatWaifu_v2.0_22B-Q6_K-GGUF --hf-file chatwaifu_v2.0_22b-q6_k.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_v2.0_22B-Q6_K-GGUF --hf-file chatwaifu_v2.0_22b-q6_k.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Triangle104/ChatWaifu_v2.0_22B-Q6_K-GGUF --hf-file chatwaifu_v2.0_22b-q6_k.gguf -c 2048 ```