Instructions to use dak0ta13/TitanX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dak0ta13/TitanX with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dak0ta13/TitanX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - >- | |
| Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset | |
| - ThinkNet/HQ-Chat-1K | |
| - agentica-org/DeepCoder-Preview-Dataset | |
| - >- | |
| saidutta69/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-Mythos-5-Qwen-3.7-Max-Distillation-Cleaned | |
| - crumb/gpt4all-clean | |
| - michael-sigamani/agentic-planner-dataset | |
| - w4rlock999/agentic_actions_GPT_OSS_20B | |
| - ethanker/agentic_coding_dataset | |
| - masterpieceexternal/gpt-oss-20b-moe-expert-power-traces-320k | |
| - Pinkstackorg/gpt-oss-20b-safety | |
| - Princeshah36/system-command-assistant-dataset | |
| - GeniusHTX/SWE-Skills-Bench | |
| - claude-skills/mcp-dataset | |
| - claude-skills/mcp-conversation | |
| - Alisha1606/It_job_roles_skills_certifications | |
| - mohitagw/pm-skills-instruct | |
| - deciqAI/knowledge-skills | |
| language: | |
| - en | |
| metrics: | |
| - exact_match | |
| - code_eval | |
| - trec_eval | |
| - chri5306/bertscore | |
| - character | |
| base_model: | |
| - openai-community/gpt2 | |
| - FacebookAI/roberta-large | |
| - openai/whisper-large-v3-turbo | |
| - aisingapore/Gemma-SEA-LION-v4.5-E2B-IT-GGUF | |
| - sensenova/InteractiveOmni-4B | |
| - ByteDance/Dolphin | |
| - microsoft/harrier-oss-v1-0.6b | |
| - zai-org/RealVideo | |
| - zai-org/GLM-TTS | |
| - zai-org/GLM-Image | |
| - bartowski/zai-org_GLM-4.6V-Flash-GGUF | |
| new_version: dak0ta13/TitanX | |
| library_name: transformers | |
| tags: | |
| - code | |
| - agent | |
| - art | |
| - music | |
| - text-generation-inference | |