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AI models
baichuan

Baichuan-M3-235B

AI model

Context window
40,960 tokens
Total parameters
235.09 B
Open weights
Yes

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

Baichuan-M3-235B

235.09 B total parameters · qwen3_moe · BF16

Published checkpoint tensor payload: 437.9 GiB. This includes stored copies and buffers; it is separate from the runtime estimates below.

Estimated accelerator memory133.2 GiB
Weights
120.4 GiB
KV cache
0.7 GiB
Runtime allowance
12.0 GiB

One user, full model in accelerator memory.

GPUs with memory headroom

Local AI systems with memory headroom

    No catalogued Local AI system meets this memory estimate with the reserved headroom.

    Shared-memory systems use a planning budget of 75% of installed memory, leaving 25% for the OS and other allocations. This is an assumption, not a measured GPU allocation. Firmware and driver limits may be lower and may require configuration. Memory matches do not verify a runtime, quantized model artifact or inference speed.

    Includes FP16 KV cache, prompt plus generated tokens, quantization metadata and a runtime allowance. GPU matches reserve 10% of VRAM. Memory fit is not a speed or software-compatibility guarantee; quantized weights and runtime support must be available.

    Capabilities

    Context window
    40,960 tokens
    Open weights
    Yes
    Model license
    apache-2.0
    Total parameters
    235.09 B
    Checkpoint tensor payload
    437.90 GiB

    Input modalities

    • text

    Output modalities

    • text

    Processing & platform

    Architecture
    qwen3_moe