Triangle104
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README.md
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1 |
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---
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language:
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- en
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- ja
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license: cc-by-nc-4.0
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library_name: transformers
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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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base_model: spow12/ChatWaifu_v2.0_22B
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datasets:
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- roleplay4fun/aesir-v1.1
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- kalomaze/Opus_Instruct_3k
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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- Aratako/Synthetic-JP-EN-Coding-Dataset-567k
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- Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-39.6k-formatted
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- Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-15.3k-formatted
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- Aratako_Rosebleu_1on1_Dialogues_RP
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- SkunkworksAI/reasoning-0.01
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- jondurbin_gutenberg_dpo
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- nbeerbower_gutenberg2_dpo
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- jondurbi_py_dpo
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- jondurbin_truthy_dpo
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- flammenai_character_roleplay_DPO
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- kyujinpy_orca_math_dpo
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- argilla_Capybara_Preferences
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- antiven0m_physical_reasoning_dpo
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- aixsatoshi_Swallow_MX_chatbot_DPO
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pipeline_tag: text-generation
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model-index:
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- name: ChatWaifu_v2.0_22B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 65.11
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 42.29
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 18.58
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 9.96
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.59
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 31.51
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=spow12/ChatWaifu_v2.0_22B
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name: Open LLM Leaderboard
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---
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# Triangle104/ChatWaifu_v2.0_22B-Q4_K_S-GGUF
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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.
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Refer to the [original model card](https://huggingface.co/spow12/ChatWaifu_v2.0_22B) 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_v2.0_22B-Q4_K_S-GGUF --hf-file chatwaifu_v2.0_22b-q4_k_s.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_v2.0_22B-Q4_K_S-GGUF --hf-file chatwaifu_v2.0_22b-q4_k_s.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_v2.0_22B-Q4_K_S-GGUF --hf-file chatwaifu_v2.0_22b-q4_k_s.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_v2.0_22B-Q4_K_S-GGUF --hf-file chatwaifu_v2.0_22b-q4_k_s.gguf -c 2048
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```
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