Text Generation
PEFT
Safetensors
English
minicpm
minicpm5
minicpm5-1b
tool-calling
function-calling
tool-use
agentic
agentic-ai
ai-agent
xml-tool-calling
json-function-calling
lora
qlora
grpo
reinforcement-learning
rlhf
unsloth
trl
openbmb
conversational
small-language-model
slm
edge-ai
on-device
local-llm
efficient-llm
Eval Results (legacy)
Instructions to use ewin-reg/MiniCPM5-1B-Agentic-Tooluse-QLoRA-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ewin-reg/MiniCPM5-1B-Agentic-Tooluse-QLoRA-v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-1B") model = PeftModel.from_pretrained(base_model, "ewin-reg/MiniCPM5-1B-Agentic-Tooluse-QLoRA-v3") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| { | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |