Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language: en
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
tags:
|
| 5 |
+
- test
|
| 6 |
+
- custom-architecture
|
| 7 |
+
- deepseek
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# DeepSeek-R1-Channel-INT8_4L (4 Layers)
|
| 11 |
+
|
| 12 |
+
⚠️ **For Testing Purposes Only**
|
| 13 |
+
This is a modified version of meituan/DeepSeek-R1-Channel-INT8 with **random weights**, used for architecture experiments.
|
| 14 |
+
|
| 15 |
+
## Key Modifications
|
| 16 |
+
- Reduced to **4 layers**
|
| 17 |
+
- Contains:
|
| 18 |
+
- First 3 layers: **MLA** (Multi-head Latent Attention)
|
| 19 |
+
- Layer 4: **MoE** (Mixture of Experts)
|
| 20 |
+
- All weights randomly initialized (not performance-optimized)
|
| 21 |
+
|
| 22 |
+
## Usage
|
| 23 |
+
```python
|
| 24 |
+
from transformers import AutoModelForCausalLM
|
| 25 |
+
model = AutoModelForCausalLM.from_pretrained("MollyHexapotato/custom_DeepSeek-R1-Channel-INT8_4L")
|