Downloads · 30 days
38
13% of all-time downloads
turnercore/minicpm5-automaticity-v7
minicpm5-automaticity-v7 is a machine learning model from turnercore. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Public release of the MiniCPM5 automaticity V7 LoRA and merged GGUF exports.
Downloads · 30 days
38
13% of all-time downloads
All-time downloads
304
Public
Repo size
1.9 GB
Likes
0
Public
Click a slice to open those files.
.gguf1.8 GB · 97%
From the Hugging Face model README
Public release of the MiniCPM5 automaticity V7 LoRA and merged GGUF exports.
The training data and benchmark repos are private because future rows/results may contain real tool-call traces. The included HTML report and benchmark dataset repo compare:
MiniCPM tool-call fine-tuning targets MiniCPM XML function calls rather than JSON.
Frozen local benchmark: /home/turnercore/automaticity-benchmark-v1/automaticity-hard-v1.jsonl
Canonical benchmark repo: turnercore/automaticity-benchmark-v1 (private)
| Run | Exact | Tool name | Arguments | No-op recall | p50 latency | p95 latency |
|---|---|---|---|---|---|---|
| FunctionGemma_AUTOMATICITY_V7_Q8 | 82/92 (89.1%) | 96.7% | 90.2% | 94.7% | 180 ms | 568 ms |
| MiniCPM5_Base | 78/92 (84.8%) | 92.4% | 87.0% | 86.8% | 701 ms | 2,070 ms |
| MiniCPM5_Base + AUTOMATICITY_V7_LORA_ADAPTER | 59/92 (64.1%) | 67.4% | 75.0% | 21.1% | 316 ms | 478 ms |
| MiniCPM5_AUTOMATICITY_V7_Q8 | 60/92 (65.2%) | 69.6% | 75.0% | 26.3% | 151 ms | 248 ms |
| MiniCPM5_AUTOMATICITY_V7_Q4 | 54/92 (58.7%) | 64.1% | 67.4% | 13.2% | 141 ms | 226 ms |
The V7 MiniCPM fine-tune is not promoted. It learned the XML output shape and is fast when baked to GGUF, but it overcalls no-op, negated, hypothetical, deferred, and incomplete prompts. AUTOMATICITY_V8 adds no-op hardening rows for the next run.