Instructions to use litert-community/MiniCPM5-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/MiniCPM5-1B with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Adjust W4 model
#4
by CarreyZhan - opened
README.md
CHANGED
|
@@ -25,6 +25,7 @@ This repository hosts the [**LiteRT-LM**](https://ai.google.dev/edge/litert-lm)
|
|
| 25 |
## Available Models
|
| 26 |
|
| 27 |
* **`minicpm_dynamic_wi8_afp32_gpu_opt.litertlm`**: This model features dynamic weight-only INT8 quantization (wi8) with FP32 activations (afp32), heavily optimized for GPU execution.
|
|
|
|
| 28 |
|
| 29 |
## What is MiniCPM?
|
| 30 |
|
|
|
|
| 25 |
## Available Models
|
| 26 |
|
| 27 |
* **`minicpm_dynamic_wi8_afp32_gpu_opt.litertlm`**: This model features dynamic weight-only INT8 quantization (wi8) with FP32 activations (afp32), heavily optimized for GPU execution.
|
| 28 |
+
* **`minicpm_wi4b32_wi8_afp32.litertlm`**: This model features mixed INT4-block32(linear)/INT8(embed and lmhead) quantization (wi4b32_wi8) with FP32 activations (afp32).
|
| 29 |
|
| 30 |
## What is MiniCPM?
|
| 31 |
|
model_wi4b32_wi8.litertlm → minicpm_wi4b32_wi8_afp32.litertlm
RENAMED
|
File without changes
|