|
--- |
|
license: apache-2.0 |
|
--- |
|
# QuantLM 2.3B 4 bit |
|
QuantLM, unpacked to FP16 format - compatible with FP16 GEMMs. After unpacking, QuantLM has the same architecture as LLaMa. |
|
|
|
```python |
|
import transformers as tf, torch |
|
model_name = "SpectraSuite/QuantLM_2.3B_4bit_Unpacked" |
|
# Please adjust the temperature, repetition penalty, top_k, top_p and other sampling parameters according to your needs. |
|
pipeline = tf.pipeline("text-generation", model=model_id, model_kwargs={"torch_dtype": torch.float16}, device_map="auto") |
|
# These are base (pretrained) LLMs that are not instruction and chat tuned. You may need to adjust your prompt accordingly. |
|
pipeline("Once upon a time") |
|
``` |
|
|
|
* License: Apache 2.0 |
|
* We will use our GitHub repo for communication (including HF repo related queries). Feel free to open an issue here https://github.com/NolanoOrg/SpectraSuite |
|
|
