Baichuan2-7B
State‑of‑the‑art large language model useful on a variety of language understanding and generation tasks.
Baichuan2‑7B is a family of LLMs. It achieves the state‑of‑the‑art performance of its size on standard Chinese and English authoritative benchmarks (C‑EVAL/MMLU). 4‑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 Baichuan2‑PromptProcessor‑Quantized's latency and average time per addition token is Baichuan2‑TokenGenerator‑Quantized's latency.
Technical Details
Input sequence length for Prompt Processor:128
Context length:4096
Number of parameters:7.07B
Precision:w4a16 + w8a16 (few layers)
Num of key-value heads:8
Information about the model parts:Prompt Processor and Token Generator are split into 5 parts each. Each corresponding Prompt Processor and Token Generator part share weights.
Prompt processor model size:5.06 GB
Prompt processor input (part1):128 tokens
Prompt processor output (part1):Embeddings output
Prompt processor input (other parts):128 tokens + KVCache initialized with pad token
Prompt processor output (other parts):128 output tokens + KVCache for token generator
Token generator model size:5.06 GB
Token generator input (part1):128 tokens
Token generator output (part1):Embeddings output
Token generator input (other parts):1 input token + past KVCache
Token generator output (other parts):1 output token + KVCache for next iteration
Use:Initiate conversation with prompt-processor and then token generator for subsequent iterations.
Supported languages:Chinese and English.
Minimum QNN SDK version required:2.27.7
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
Supported Mobile Form Factors
- Phone
- Tablet
Licenses
Source Model:APACHE-2.0
Deployable Model:APACHE-2.0
Terms of Use:Qualcomm® Generative AI usage and limitations
Tags
- llm
- generative-ai
- quantized
Supported Mobile Devices
- Snapdragon 8 Elite QRD
Supported Mobile Chipsets
- Snapdragon® 8 Elite Mobile
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