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--- |
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license: deepfloyd-if-license |
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datasets: |
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- microsoft/orca-agentinstruct-1M-v1 |
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- OpenCoder-LLM/opc-sft-stage1 |
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- fka/awesome-chatgpt-prompts |
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- HuggingFaceTB/smoltalk |
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- alpindale/two-million-bluesky-posts |
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- bluesky-community/one-million-bluesky-posts |
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- dijihax/Dataset |
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- internlm/Lean-Workbook |
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- PleIAs/common_corpus |
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- O1-OPEN/OpenO1-SFT |
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- allenai/tulu-3-sft-mixture |
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- OpenCoder-LLM/RefineCode-code-corpus-meta |
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- OpenCoder-LLM/opc-fineweb-code-corpus |
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- iamtarun/python_code_instructions_18k_alpaca |
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- codeparrot/github-code |
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- nenad1002/quantum_science_research_dataset |
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- quantumiracle-git/robotinder-data |
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- open-llm-leaderboard-old/details_quantumaikr__KoreanLM-hf |
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- chemora/EntanglementDetectionDataSet |
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- glaiveai/glaive-function-calling-v2 |
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- Salesforce/xlam-function-calling-60k |
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- NousResearch/hermes-function-calling-v1 |
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- >- |
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Younes-Abdeahad-Software-Requirements/FNFC-Functional_Non-Functional_Classification |
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- cgoosen/prompt_injection_password_or_secret |
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- google/frames-benchmark |
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- Kaeyze/computer-science-synthetic-dataset |
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- gretelai/gretel-text-to-python-fintech-en-v1 |
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- Vezora/Tested-143k-Python-Alpaca |
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- Nan-Do/instructional_code-search-net-python |
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- hackaprompt/hackaprompt-dataset |
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- hackercupai/hackercup |
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- OpenPipe/hacker-news |
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- open-phi/programming_books_llama |
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- kanhatakeyama/wizardlm8x22b-logical-math-coding-sft |
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- datatune/LogiCoT |
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- kanhatakeyama/LogicalDatasetsByMixtral8x22b |
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- dongyu0205/working-memory-capacity-of-ChatGPT |
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- memorylost731/linux_man_pages_library |
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- mmathys/openai-moderation-api-evaluation |
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- BAAI/IndustryCorpus2_current_affairs_government_administration |
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- bigcode/admin |
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- HuggingFaceFW/admin |
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- HuggingFaceFW/fineweb-edu |
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- HuggingFaceFV/finevideo |
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- lmms-lab/LLaVA-Video-178K |
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- Wild-Heart/Disney-VideoGeneration-Dataset |
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- DL3DV/DL3DV-ALL-video |
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- laion/laion-high-resolution |
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- joey234/mmlu-high_school_computer_science-neg |
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- sentence-transformers/embedding-training-data |
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- Cohere/wikipedia-22-12-en-embeddings |
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- philschmid/finanical-rag-embedding-dataset |
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- jwaters8978/web_scraper_dataset |
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- jwaters8978/web_scraper_dataset_2 |
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- ammarnasr/the-stack-java-clean |
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- angie-chen55/javascript-github-code |
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- anjandash/java-8m-methods-v2 |
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- Vikhrmodels/physics_big |
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- k-mktr/improved-flux-prompts-photoreal-portrait |
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- jacobcd52/physics-papers |
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- zeroshot/arxiv-biology |
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- joey234/mmlu-college_biology-neg |
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- cmcmaster/rheumatology-biologics-dataset |
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- HAERAE-HUB/QARV-KOEN-10M-Entangled |
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- Qutiba/LinuxCommands_Virsh_KVM_Docker_2 |
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- MattCoddity/docker_ps |
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- adeocybersecurity/DockerCommand |
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- JetBrains-Research/lca-codegen-huge |
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- chaofengc/IQA-PyTorch-Datasets |
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- open-source-metrics/pytorch-image-models-dependents |
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- nodchip/tanuki-.nnue-pytorch-2024-07-30.1 |
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- karpathy/fineweb-edu-100B-gpt2-token-shards |
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- google/code_x_glue_cc_code_completion_token |
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- edbeeching/gia-dataset-tokenized-2024-2 |
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- OpenDILabCommunity/MasterMind |
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- LinkSoul/Chinese-LLaVA-Vision-Instructions |
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- hoang-quoc-trung/fusion-image-to-latex-datasets |
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- OpenCoder-LLM/opc-fineweb-math-corpus |
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- xinlai/Math-Step-DPO-10K |
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- hendrycks/competition_math |
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- meta-math/MetaMathQA |
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- microsoft/BiomedParseData |
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- Twenty1/aws-lambda-developer-guide-docs |
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- developer0hye/korocr |
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- DeveloperOats/DBPedia_Classes |
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- developerZoyal/full_drugs_data |
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- LangChainHub-Prompts/LLM_Bash |
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- OS-Copilot/OS-Atlas-data |
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- nvidia/OpenMathInstruct-2 |
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- nvidia/HelpSteer2 |
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language: |
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- en |
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- es |
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- it |
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- ar |
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- id |
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- zh |
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- ja |
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base_model: |
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- Dijitaal/DijiHax.Spooky.Pi |
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- Qwen/Qwen2.5-Coder-32B-Instruct |
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- ayjays132/Quantum-NeuralAdaptiveLearningSystem |
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- neuralmagic/Sparse-Llama-3.1-8B-2of4 |
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- bigscience/bloom |
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- bigcode/starcoder |
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- bigcode/starcoder2-3b |
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- wolfram/Athene-V2-Chat-4.65bpw-h6-exl2 |
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- wolfram/Mistral-Large-Instruct-2411-2.75bpw-h6-exl2 |
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- stabilityai/stable-diffusion-3.5-large |
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- openai/whisper-large-v3-turbo |
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- black-forest-labs/FLUX.1-dev |
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- black-forest-labs/FLUX.1-Fill-dev |
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- black-forest-labs/FLUX.1-Redux-dev |
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- si-pbc/hertz-dev |
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- InstantX/FLUX.1-dev-IP-Adapter |
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- unsloth/Qwen2.5-Coder-32B-Instruct-128K-GGUF |
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- Qwen/Qwen2.5-Coder-32B-Instruct-GGUF |
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- Qwen/QwQ-32B-Preview |
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- tencent/HunyuanVideo |
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- tencent/HunyuanVideo-PromptRewrite |
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- AIDC-AI/Marco-o1 |
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- DevQuasar/AIDC-AI.Marco-o1-GGUF |
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- Lightricks/LTX-Video |
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- NexaAIDev/OmniVLM-968M |
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- ali-vilab/In-Context-LoRA |
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- udev4096/docker-commands |
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- philomath-1209/programming-language-identification |
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- vivecccccc/phi-2_kqa-program |
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- Qwen/Qwen2.5-Coder-7B-Instruct |
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- featherless-ai-quants/Qwen-Qwen2.5-Coder-32B-Instruct-GGUF |
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- aws-neuron/optimum-neuron-cache |
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- nm-testing/TinyLlama-1.1B-compressed-tensors-kv-cache-scheme |
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- vuiseng9/ov-gpt2-fp32-no-cache |
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- RichardErkhov/vuiseng9_-_ov-gpt2-fp32-no-cache-gguf |
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- ntc-ai/SDXL-LoRA-slider.eye-catching |
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- stabilityai/stable-diffusion-3.5-large-turbo |
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- nvidia/NV-Embed-v2 |
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- jinaai/jina-embeddings-v3 |
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- nvidia/MM-Embed |
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- nomic-ai/nomic-embed-text-v1.5 |
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- nomic-ai/nomic-embed-text-v1.5-GGUF |
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- stabilityai/stablecode-completion-alpha-3b-4k |
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- stabilityai/stablecode-completion-alpha-3b |
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- tensorblock/stablecode-completion-alpha-3b-4k-GGUF |
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- RaniAimlTest/multi-user-chat-open-llama-7b-v2-open-instruct-completions-only |
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- Iker/Llama-3-Instruct-Neurona-8b |
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- NeuroWhAI/ko-gemma-2-9b-it-fn |
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- Nexusflow/Athene-V2-Chat |
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- comfyanonymous/flux_text_encoders |
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- city96/t5-v1_1-xxl-encoder-gguf |
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- mlabonne/NeuralDaredevil-8B-abliterated |
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- Sao10K/I_am_alive_yay |
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metrics: |
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- code_eval |
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- competition_math |
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- confusion_matrix |
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- codeparrot/apps_metric |
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- bertscore |
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- BucketHeadP65/confusion_matrix |
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- precision |
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- perplexity |
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- phonemetransformers/segmentation_scores |
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- Aledade/extraction_evaluation |
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- wiki_split |
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- berkatil/map |
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- spearmanr |
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- ter |
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- chrf |
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- He-Xingwei/sari_metric |
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- KaliSurfKukt/brier_score |
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- LottieW/accents_unplugged_eval |
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- DaliaCaRo/accents_unplugged_eval |
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- ecody726/bertscore |
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- Yeshwant123/mcc |
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- ola13/precision_at_k |
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- Ikala-allen/relation_extraction |
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- charcut_mt |
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- pearsonr |
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- poseval |
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- Pipatpong/perplexity |
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- NCSOFT/harim_plus |
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- gorkaartola/metric_for_tp_fp_samples |
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- giulio98/code_eval_outputs |
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- f1 |
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new_version: Dijitaal/DijiHax.Spooky.Pi |
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library_name: adapter-transformers |
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tags: |
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- chemistry |
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- biology |
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- code |
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- merge |
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- climate |
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- medical |
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- text-generation-inference |
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- legal |
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- music |
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- art |
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- moe |
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- finance |
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- not-for-all-audiences |
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pipeline_tag: video-text-to-text |
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--- |
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# Model Card for Model ID |
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
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## Model Details |
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### Model Description |
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- **Developed by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **License:** [More Information Needed] |
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### Model Sources [optional] |
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## Uses |
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### Direct Use |
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[More Information Needed] |
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### Downstream Use [optional] |
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### Out-of-Scope Use |
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## Bias, Risks, and Limitations |
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### Recommendations |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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## Training Details |
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### Training Data |
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### Training Procedure |
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#### Preprocessing [optional] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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## Evaluation |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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#### Factors |
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#### Metrics |
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### Results |
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#### Summary |
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## Model Examination [optional] |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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**BibTeX:** |
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