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nebada1101/Nexus-VMC-v1.4-RCL
Nexus-VMC-v1.4-RCL is a machine learning model from nebada1101. 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.
Nexus-VMC-v1.4-RCL is a high-performance Small Language Model (SLM) meticulously fine-tuned for the Antigravity Hub. It excels in medical reasoning, Excel data logic, and complex tool-calling via the VMC-RCL (Reasonin…
Downloads · 30 days
13
8% of all-time downloads
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.gguf1.6 GB · 59%
How the weights are stored.
U8676M · 74%
From the Hugging Face model README
Nexus-VMC-v1.4-RCL is a high-performance Small Language Model (SLM) meticulously fine-tuned for the Antigravity Hub. It excels in medical reasoning, Excel data logic, and complex tool-calling via the VMC-RCL (Reasoning-Call-Logic) protocol.
<vmc_think> blocks, enabling deep analytical processing before task execution.[TOOL_CALL] JSON schemas in comparative benchmarking.Benchmarked against SLM baselines and 9B-class models on a 4070 Laptop GPU (Ollama API).
| Model | Avg TPS | Med Reasoning | Excel Logic | Hub Protocol Adherence |
|---|---|---|---|---|
| Nexus-VMC-v1.4-RCL | 130.3 | PASS (Strategic) | PASS (SUMIF) | Native (S-Tier) |
| hauhau-qwen9b | 37.2 | PASS (Text) | PASS (Text) | B-Tier |
| phi3.5:latest | 94.1 | PARTIAL (Python) | PASS (Formula) | C-Tier |
| qwen2.5:1.5b | 196.4 | FAIL (Manual) | FAIL (Repeated) | D-Tier |
User: 병원의 재원 할당을 최적화하기 위해 현재 환자 수를 분석해줘.
Assistant:
<vmc_think>
환자 수 데이터를 기반으로 한 최적화 분석이 필요함.
hospital_warehouse 도구를 호출하여 실시간 데이터를 가져오는 논리적 흐름 설정.
</vmc_think>
[TOOL_CALL]
{"name": "mcp_tool", "kwargs": {"target": "hospital_warehouse", "query": "current_patient_census"}}
nexus-vmc-v1.4.Q8_0.gguf file.Modelfile:
FROM ./nexus-vmc-v1.4.Q8_0.gguf
TEMPLATE "<|im_start|>user\n{{ .Prompt }}<|im_end|>\n<|im_start|>assistant\n"
PARAMETER stop "<|im_end|>"
ollama create nexus-v1.4 -f Modelfileollama run nexus-v1.4