PEFT
Safetensors
English
audio-language-model
audio-question-answering
lora
mizar
rt-opd
knowledge-distillation
Instructions to use KaiyangLi/Mizar-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KaiyangLi/Mizar-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("KE-Team/Ke-Omni-R-3B") model = PeftModel.from_pretrained(base_model, "KaiyangLi/Mizar-3B") - Notebooks
- Google Colab
- Kaggle
Download SHA256SUMS.json from KaiyangLi/Mizar-3B: direct link, hf CLI and curl.
- Browser
- Download file 947 Bytes
-
https://huggingface.co/KaiyangLi/Mizar-3B/resolve/main/SHA256SUMS.json
- Command line
-
hf download hf://KaiyangLi/Mizar-3B/SHA256SUMS.json
-
curl -L -o SHA256SUMS.json https://huggingface.co/KaiyangLi/Mizar-3B/resolve/main/SHA256SUMS.json
947 Bytes
| { | |
| "CHECKPOINT_PROVENANCE.json": { | |
| "bytes": 696, | |
| "sha256": "e4e5de972981c5f832e2e599f2422a8946c63309a1c55bfa64a2e3b18340f7ac" | |
| }, | |
| "README.md": { | |
| "bytes": 5316, | |
| "sha256": "f7f0741260c28a6f4448baf7f638454e5a79cdb3bc7026f20cfeb8b92869bf3a" | |
| }, | |
| "adapter_config.json": { | |
| "bytes": 8368, | |
| "sha256": "64de3051c953642dc972ff4371b54ba089d022ba565a4c9ac739eaf8a84064b5" | |
| }, | |
| "adapter_model.safetensors": { | |
| "bytes": 479857264, | |
| "sha256": "c53a801a364b714f5bd351a9b5bec292676c1b37253197b7e92121e08f0215de" | |
| }, | |
| "base_model.json": { | |
| "bytes": 1997, | |
| "sha256": "5d7b732db2a60e7da42f7537545929ba12557cdfa7670d5aa05102a12c3ad3c2" | |
| }, | |
| "main_results.json": { | |
| "bytes": 10144, | |
| "sha256": "588cf4156d9f9b90ced565b3334304e5de3fa88467640ea3bb5cfb0f159b83ec" | |
| }, | |
| "reproducibility/frozen_data.tar.gz": { | |
| "bytes": 4509459, | |
| "sha256": "0edfca0db13f1a5008908e98fb25313819561afd338b689b7a7e1e09fc43668f" | |
| } | |
| } | |