GreenMind-14B-R1
Parameters
14B
Context Length
32.768K
Modality
Text
Architecture
Dense
License
Apache-2.0
Release Date
23 Sept 2024
Knowledge Cutoff
-
Technical Specifications
Attention Structure
Multi-Head Attention
Hidden Dimension Size
-
Number of Layers
-
Attention Heads
-
Key-Value Heads
-
Activation Function
-
Normalization
-
Position Embedding
Absolute Position Embedding
System Requirements
VRAM requirements for different quantization methods and context sizes
GreenMind-14B-R1
GreenMind-14B-R1 is a 14 billion parameter reasoning model optimized for Vietnamese. It utilizes a self-improving data feedback loop to perform multi-step reasoning in logic and mathematics. The model is specifically optimized for NVIDIA NIM deployment and is designed for Vietnamese-focused AI assistants.
About GreenMind
GreenMind is an open-source Vietnamese reasoning language model family developed by GreenNode. It is optimized for multi-step reasoning tasks in Vietnamese, such as logic, mathematics, and scenario analysis. The model is designed to run efficiently on single-GPU hardware configurations.
Other GreenMind Models
- No related models available
Evaluation Benchmarks
No evaluation benchmarks for GreenMind-14B-R1 available.
Rankings
Overall Rank
-
Coding Rank
-
GPU Requirements
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Context Size: 1,024 tokens