Llama-v3.1-8B-Instruct
State‑of‑the‑art large language model useful on a variety of language understanding and generation tasks.
Llama 3 is a family of LLMs. 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.
Technical Details
Input sequence length for Prompt Processor:128
Maximum context length:4096
Precision:w4a16 + w8a16 (few layers)
Language(s) supported:English.
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).
Response Rate:Rate of response generation after the first response token.
Applicable Scenarios
- Dialogue
- Content Generation
- Customer Support
License
Model:LLAMA3
Terms of Use:Qualcomm® Generative AI usage and limitations
Tags
- llm
- generative-ai
Supported Compute Devices
- Snapdragon X Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
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