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README.md
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- **Model Type:** Text generation
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- **Model Stats:**
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- Context length: 4096
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- Number of parameters: 8B
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- Model size: 4.8GB
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- Token generator input: 1 input token + position embeddings + attention mask + KV cache inputs
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- Token generator output: 1 output token + KV cache outputs
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- Use: Initiate conversation with prompt-processor and then token generator for subsequent iterations.
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| Model | Device | Chipset | Target Runtime | Response Rate (tokens per second) | Time To First Token (range, seconds)
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| Llama-v3-8B-Chat | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN |
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| Llama-v3-8B-Chat |
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| Llama-v3-8B-Chat | Samsung Galaxy S23 Ultra | Snapdragon® 8 Gen 2 | QNN | 66.14 | 0.028 - 0.92 | -- | -- |
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| Llama-v3-8B-Chat | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 66.14 | 0.028 - 0.92 | -- | -- |
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| Llama-v3-8B-Chat | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 66.14 | 0.028 - 0.92 | -- | -- |
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## Deploying Llama 3 on-device
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## Sample output prompts generated on-device
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1. --prompt "where is California?"
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```
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------- Response Summary --------
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Prompt: where is California?
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Response: California is a state located on the West Coast of
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```
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2. --prompt "what is 2+3?" --max-output-tokens 30
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```
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-------- Response Summary --------
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Prompt: what is 2+3?
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Response: 2 + 3 = 5
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```
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3. --prompt "what is superposition in Quantum Physics?" --max-output-tokens 30
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```
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Prompt: what is superposition in Quantum Physics?
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Response: Superposition is a fundamental concept in quantum mechanics, which is a branch of physics that studies the behavior of matter and energy at a very
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```
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- **Model Type:** Text generation
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- **Model Stats:**
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- Input sequence length for Prompt Processor: 128
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- Context length: 4096
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- Number of parameters: 8B
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- Model size: 4.8GB
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- Token generator input: 1 input token + position embeddings + attention mask + KV cache inputs
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- Token generator output: 1 output token + KV cache outputs
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- Use: Initiate conversation with prompt-processor and then token generator for subsequent iterations.
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- Minimum QNN SDK version required: 2.27.7
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- Supported languages: English.
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- 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).
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- Response Rate: Rate of response generation after the first response token.
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| Model | Device | Chipset | Target Runtime | Response Rate (tokens per second) | Time To First Token (range, seconds)
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| Llama-v3-8B-Chat | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 12.9262 | 0.159383 - 5.100256 | -- | -- |
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| Llama-v3-8B-Chat | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 10.0367 | 0.211644 - 6.772608 | -- | -- |
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## Deploying Llama 3 on-device
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Please follow the [LLM on-device deployment](https://github.com/quic/ai-hub-apps/tree/main/tutorials/llm_on_genie) tutorial.
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