Model Details
Full Model IDdphn/dolphin-2.9.1-yi-1.5-34b
Pipeline / Tasktext-generation
Librarytransformers
Downloads (all-time)4.5M
Likes61
Last Modified9/8/2025
Author / Orgdphn
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-generation", model="dphn/dolphin-2.9.1-yi-1.5-34b")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsllamatext-generationgenerated_from_traineraxolotlconversationaldataset:cognitivecomputations/Dolphin-2.9dataset:teknium/OpenHermes-2.5dataset:m-a-p/CodeFeedback-Filtered-Instructiondataset:cognitivecomputations/dolphin-coderdataset:cognitivecomputations/samantha-datadataset:microsoft/orca-math-word-problems-200kdataset:Locutusque/function-calling-chatmldataset:internlm/Agent-FLANbase_model:01-ai/Yi-1.5-34Bbase_model:finetune:01-ai/Yi-1.5-34Blicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models✍️ Task: Text Generation
This model is designed for the Text Generation task. Explore more models for this use case.
All Text Generation Models →📊 Popularity
⬇ Downloads4.5M
❤️ Community Likes61
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.