Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
@@ -4,13 +4,12 @@ license: other
|
|
4 |
tags:
|
5 |
- llm
|
6 |
- generative_ai
|
7 |
-
- quantized
|
8 |
- android
|
9 |
pipeline_tag: text-generation
|
10 |
|
11 |
---
|
12 |
|
13 |
-
.
|
22 |
|
23 |
|
24 |
-
More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/
|
25 |
|
26 |
### Model Details
|
27 |
|
28 |
-
- **Model Type:**
|
29 |
- **Model Stats:**
|
30 |
- Input sequence length for Prompt Processor: 128
|
31 |
- Context length: 4096
|
@@ -45,10 +44,10 @@ This model is an implementation of Llama3-TAIDE-LX-8B-Chat-Alpha1 found [here](h
|
|
45 |
- TTFT: Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length (4096 tokens).
|
46 |
- Response Rate: Rate of response generation after the first response token.
|
47 |
|
48 |
-
| Model | Device | Chipset | Target Runtime | Response Rate (tokens per second) | Time To First Token (range, seconds)
|
49 |
|---|---|---|---|---|---|
|
50 |
-
| Llama3-TAIDE-LX-8B-Chat-Alpha1 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 12.9262 | 0.159383 - 5.100256 | -- | -- |
|
51 |
-
| Llama3-TAIDE-LX-8B-Chat-Alpha1 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 10.0367 | 0.211644 - 6.772608 | -- | -- |
|
52 |
|
53 |
## Deploying Llama-3-TAIDE on-device
|
54 |
|
|
|
4 |
tags:
|
5 |
- llm
|
6 |
- generative_ai
|
|
|
7 |
- android
|
8 |
pipeline_tag: text-generation
|
9 |
|
10 |
---
|
11 |
|
12 |
+

|
13 |
|
14 |
# Llama3-TAIDE-LX-8B-Chat-Alpha1: Optimized for Mobile Deployment
|
15 |
## State-of-the-art large language model useful on a variety of language understanding and generation tasks
|
|
|
20 |
This model is an implementation of Llama3-TAIDE-LX-8B-Chat-Alpha1 found [here](https://huggingface.co/taide/Llama3-TAIDE-LX-8B-Chat-Alpha1).
|
21 |
|
22 |
|
23 |
+
More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/llama_v3_taide_8b_chat).
|
24 |
|
25 |
### Model Details
|
26 |
|
27 |
+
- **Model Type:** Model_use_case.text_generation
|
28 |
- **Model Stats:**
|
29 |
- Input sequence length for Prompt Processor: 128
|
30 |
- Context length: 4096
|
|
|
44 |
- TTFT: Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length (4096 tokens).
|
45 |
- Response Rate: Rate of response generation after the first response token.
|
46 |
|
47 |
+
| Model | Precision | Device | Chipset | Target Runtime | Response Rate (tokens per second) | Time To First Token (range, seconds)
|
48 |
|---|---|---|---|---|---|
|
49 |
+
| Llama3-TAIDE-LX-8B-Chat-Alpha1 | w4a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 12.9262 | 0.159383 - 5.100256 | -- | -- |
|
50 |
+
| Llama3-TAIDE-LX-8B-Chat-Alpha1 | w4a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 10.0367 | 0.211644 - 6.772608 | -- | -- |
|
51 |
|
52 |
## Deploying Llama-3-TAIDE on-device
|
53 |
|