Downloads · 30 days
6
17% of all-time downloads
ToolCall-200M-Base
vaibhav-mugulavalli-2004/ToolCall-200M-Base
ToolCall-200M-Base is a machine learning model from vaibhav-mugulavalli-2004. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
ToolCall-200M-Base is a 200,184,576-parameter causal language model pretrained fully from scratch on approximately 4.006 billion prediction tokens.
All-time downloads
35
Public
Parameters
200M
401 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors400 MB · 100%
At a glance
- Access
- Public
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026
- SHA
- 563440fa
Model card
From the Hugging Face model README
ToolCall-200M-Base
ToolCall-200M-Base is a 200,184,576-parameter causal language model pretrained fully from scratch on approximately 4.006 billion prediction tokens.
This is the pretrained base checkpoint before supervised fine-tuning.
Important status
This model is:
- not instruction-tuned
- not a general chatbot
- not ready for reliable tool execution
- expected to produce repetition, malformed outputs and incorrect tool calls
Its intended purpose is research, reproducibility and comparison with the future supervised fine-tuned ToolCall-200M model.
Architecture
- Layers: 24
- Hidden size: 768
- Intermediate size: 2,048
- Attention heads: 12
- Key/value heads: 4
- Vocabulary: 32,000
- Context length: 2,048
- Activation: SwiGLU
- Normalization: RMSNorm
- Position encoding: RoPE
- Embeddings: untied
Training
- Prediction tokens: 4,005,822,464
- Final checkpoint step: 15,281
- Training: fully from scratch
Loading status
The repository includes the configuration/model code discovered in the source repository.
Limitations
This checkpoint has not undergone supervised fine-tuning or alignment. It should not be used to make autonomous decisions or execute tools in production.
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026