Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ tags:
|
|
| 18 |
|
| 19 |
Llama 3 is a family of LLMs. The "Chat" at the end indicates that the model is optimized for chatbot-like dialogue. The model is quantized to w4a16 (4-bit weights and 16-bit activations) and part of the model is quantized to w8a16 (8-bit weights and 16-bit activations) making it suitable for on-device deployment. For Prompt and output length specified below, the time to first token is Llama-PromptProcessor-Quantized's latency and average time per addition token is Llama-TokenGenerator-Quantized's latency.
|
| 20 |
|
| 21 |
-
This model is an implementation of
|
| 22 |
|
| 23 |
|
| 24 |
More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/llama_v3_8b_chat_quantized).
|
|
|
|
| 18 |
|
| 19 |
Llama 3 is a family of LLMs. The "Chat" at the end indicates that the model is optimized for chatbot-like dialogue. The model is quantized to w4a16 (4-bit weights and 16-bit activations) and part of the model is quantized to w8a16 (8-bit weights and 16-bit activations) making it suitable for on-device deployment. For Prompt and output length specified below, the time to first token is Llama-PromptProcessor-Quantized's latency and average time per addition token is Llama-TokenGenerator-Quantized's latency.
|
| 20 |
|
| 21 |
+
This model is an implementation of Llama-v3-8B-Chat found [here](https://github.com/meta-llama/llama3/tree/main).
|
| 22 |
|
| 23 |
|
| 24 |
More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/llama_v3_8b_chat_quantized).
|