Update README.md

README.md

@@ -1,3 +1,31 @@
 ---
 license: llama2
+train: false
+inference: false
+pipeline_tag: text-generation
 ---
+
+## Llama-2-70b-hf-2bit_g16_s128-HQQ 
+This a version of the LLama2-70B model quantized to 2-bit via Half-Quadratic Quantization (HQQ): https://mobiusml.github.io/hqq/
+
+This model outperforms an fp16 LLama2-13B (perplexity 4.13 vs. 4.63) for a comparable ~26GB size. 
+
+To run the model, install the HQQ library from https://github.com/mobiusml/hqq/tree/main/code and use it as follows:
+``` Python
+from hqq.models.llama import LlamaHQQ
+import transformers
+
+model_id = 'mobiuslabsgmbh/Llama-2-70b-hf-2bit_g16_s128-HQQ'
+#Load the tokenizer
+tokenizer = transformers.AutoTokenizer.from_pretrained(model_id)
+#Load the model
+model = LlamaHQQ.from_quantized(model_id)
+```
+
+*Limitations*: <br>
+-Only supports single GPU runtime.<br>
+-Not compatible with HuggingFace's PEFT.<br>
+
+
+
+