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
Ctrl+K
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Add model-index eval YAML, arch spec, thinking docs, limitations, citation, ModelScope; remove column meanings note
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