GreenMind-14B-R1
Parameters
14B
Context Length
33K
Modality
Text
Architecture
Dense
License
Apache-2.0
Release Date
23 Sept 2024
Knowledge Cutoff
Sep 2024
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
2x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
32,768 tokens
Consumer
2x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for GreenMind-14B-R1 available.
Rankings
Overall Rank
-
Coding Rank
-
About GreenMind-14B-R1
GreenMind-14B-R1 is a 14.7B parameter Vietnamese reasoning model developed by GreenNode on Qwen2.5-14B using GRPO reinforcement learning. It specializes in multi-step logical deduction and domain-specific assistance across a 131K context window.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
40
Key-Value Heads
8
Attention Head Dimension
-
Position Embedding
Absolute Position Embedding
RoPE Theta
-
Sliding Window Attention
-
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
5,120
Number of Layers
40
FFN Intermediate Size (Dense)
-
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
-
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