CallForge-1B v0
CallForge-1B v0 is a lightweight 1B parameter tool-calling specialist fine-tuned from openbmb/MiniCPM5-1B. It is designed to reliably select tools, construct schema-valid arguments, execute calls, and repair execution failures in agentic tool-use workflows.
Model Summary
- Base Model: openbmb/MiniCPM5-1B
- Parameters: ~1.08B
- Architecture: LlamaForCausalLM
- Format: Native MiniCPM5 chat template with XML tool-call markup
- License: Apache-2.0
Evaluation & Results
CallForge-1B v0 demonstrates significant improvements in zero-shot generalization to unseen tools while maintaining solid performance on seen tool suites:
| Metric | Base MiniCPM5-1B | CallForge-1B v0 |
|---|---|---|
| Seen Task Success Rate | 20% | 40% |
| Held-out Tool Task Success Rate | 0% | 43% |
| Parser Well-formed Rate | 100% | 92% |
| Parser Schema-valid Rate | 100% | 92% |
Quickstart & Inference
You can run CallForge-1B v0 using Hugging Face Transformers:
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "solomoniw/CallForge-1B-v0"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16 if torch.cuda.is_available() else torch.float32,
device_map="auto"
)
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Fetch current weather conditions for a given city.",
"parameters": {
"type": "object",
"properties": {
"city": {"type": "string", "description": "City name"}
},
"required": ["city"]
}
}
}
]
messages = [
{"role": "user", "content": "What is the weather like in Tokyo right now?"}
]
inputs = tokenizer.apply_chat_template(
messages,
tools=tools,
add_generation_prompt=True,
return_tensors="pt"
).to(model.device)
outputs = model.generate(inputs, max_new_tokens=256)
response = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
print(response)
Intended Use
CallForge-1B v0 is designed for local, resource-constrained agentic applications requiring reliable tool use and structured function calling.