Text Generation
PEFT
Safetensors
English
granite
lora
meetings
action-items
decisions
information-extraction
local-inference
conversational
Instructions to use Privoid-ai/Privoid-Action-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Privoid-ai/Privoid-Action-1B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ibm-granite/granite-4.0-1b") model = PeftModel.from_pretrained(base_model, "Privoid-ai/Privoid-Action-1B") - Notebooks
- Google Colab
- Kaggle
Privoid Action-1B experimental preview (LoRA adapter, validator, API, locked test results)
b68d688 verified Download api/config.example.json from Privoid-ai/Privoid-Action-1B: direct link, hf CLI and curl.
- Browser
- Download file 810 Bytes
-
https://huggingface.co/Privoid-ai/Privoid-Action-1B/resolve/main/api/config.example.json
- Command line
-
hf download hf://Privoid-ai/Privoid-Action-1B/api/config.example.json
-
curl -L -o config.example.json https://huggingface.co/Privoid-ai/Privoid-Action-1B/resolve/main/api/config.example.json
810 Bytes
| { | |
| "_comment": "Copy to api/config.json. adapter_path is the folder holding adapter_config.json (this repository's root after download). Paths are local; nothing is downloaded.", | |
| "host": "127.0.0.1", | |
| "port": 8095, | |
| "allow_non_loopback": false, | |
| "model_mode": "base+adapter", | |
| "base_model_id": "ibm-granite/granite-4.0-1b", | |
| "base_model_revision": "6a7381ba1f54d684ff508d991aeb7dc580157103", | |
| "base_model_path": null, | |
| "adapter_path": ".", | |
| "merged_model_path": null, | |
| "load_on_startup": true, | |
| "max_prompt_tokens": 2600, | |
| "max_segment_tokens": 1536, | |
| "segment_overlap_turns": 8, | |
| "max_new_tokens": 1024, | |
| "max_body_bytes": 200000, | |
| "request_timeout_s": 120, | |
| "max_concurrent": 1, | |
| "max_queue": 4, | |
| "enable_meeting_endpoint": false, | |
| "max_segments_per_request": 12 | |
| } |