Model reference · open weights
MiniCPM-V-4.7-DSpark is an open-weight language model from openbmb. MiniCPM-V-4.7-35B-A3B-DSpark-gguf (GGUF) weighs 237 MB; the smallest configuration that runs it is RTX 3060 12 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the openbmb/MiniCPM-V-4.7-35B-A3B-DSpark model card, 2026-10-13. The estimate below is for another build of the family.
What it is
| Released by | openbmb |
|---|---|
| Released | 2026-10-08 |
| Parameters | 389M |
| VRAM | 237 MB for the weights |
What it runs on
How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.
| Card | Weights alone |
|---|---|
| RTX 3060 12 GB | fits |
| RTX 4060 Ti 16 GB | fits |
| RTX 3090 24 GB | fits |
| RTX 4090 24 GB | fits |
| RTX 5090 32 GB | fits |
| L40S 48 GB | fits |
| A100 80 GB | fits |
| H100 80 GB | fits |
| RTX PRO 6000 Blackwell 96 GB | fits |
| DGX Spark (GB10) 128 GB unified | fits |
| H200 141 GB | fits |
| B200 180 GB | fits |
Builds
| Build | Params | Precision | Weights | Smallest setup |
|---|---|---|---|---|
| MiniCPM-V-4.7-35B-A3B-DSpark ↗ | 389M | BF16 | 778 MB | RTX 3060 12 GB |
| MiniCPM-V-4.7-1B-DSpark ↗ | 214M | BF16 | 427 MB | RTX 3060 12 GB |
| MiniCPM-V-4.7-35B-A3B-DSpark-gguf (above) ↗ 11 builds: Q4_0 230 MB … F16 789 MB |
GGUF | 237 MB | RTX 3060 12 GB |
From the model card
MiniCPM-V-4.7-35B-A3B-DSpark is a DSpark draft checkpoint trained for exact pairing with MiniCPM-V-4.7-35B-A3B and its tokenizer.
| Property | Value |
|---|---|
| Target model | MiniCPM-V-4.7-35B-A3B |
| Draft layers | 5 |
| Draft parameters | 389,223,169 |
| Draft tokens per forward pass | 15 |
| Target hidden-state layers | [3, 11, 19, 27, 35] |
| Checkpoint precision | BF16 |
Training responses were generated by MiniCPM-V-4.7-35B-A3B from a mixture of Vision & Text prompts.
| Setting | Value |
|---|---|
| Training sequences | 2M |
| Epochs | 6 |
| Optimizer | AdamW |
| Objective | CE + L1 + confidence loss |
Acceptance length is defined as the total number of completion tokens divided by the total number of speculative verification steps. Evaluation uses natural EOS termination and max_new_tokens=8192.
| Domain | Accept Length |
|---|---|
| Vision | |
| MMMU | 5.098 |
| MathVista | 6.126 |
| CharXiv_reasoning_val | 5.479 |
| OCRBench | 5.407 |
| Text | |
| Math | 6.687 |
| Code | 7.387 |
| General | 3.501 |
vllm serve \
--model openbmb/MiniCPM-V-4.7-35B-A3B \
--served-model-name MiniCPM-V-4.7-35B-A3B \
--tensor-parallel-size 2 \
--max-model-len 40960 \
--max-num-batched-tokens 40960 \
--max-num-seqs 1 \
--attention-backend FLASH_ATTN \
--mm-encoder-attn-backend FLASH_ATTN \
--mm-processor-kwargs '{"downsample_mode":"4x"}' \
--trust-request-mm-kwargs \
--disable-custom-all-reduce \
--compilation-config '{"pass_config":{"fuse_allreduce_rms":false}}' \
--speculative-config '{"method":"dspark","model":"openbmb/MiniCPM-V-4.7-35B-A3B-DSpark","num_speculative_tokens":15,"enable_adaptive_verification":false}' \
--default-chat-template-kwargs '{"enable_thinking":false}'
This model has no autonomous intent or legal personhood; its outputs are text generated from statistical patterns and may be inaccurate, biased, or offensive, and may be manipulated by carefully crafted prompts ("jailbreaks") into producing unintended content. Its responses on sensitive topics such as politics, health, finance, and law are not reviewed by experts and should not be treated as professional advice.
This model is provided "AS IS", without warranty of any kind, express or implied, and the developers are not liable for any damages arising from its use. Users must employ the model only for lawful, compliant, and ethical purposes, configure their own safeguards, and label AI-generated content where required; deliberate jailbreaking, injection attacks, or inducing harmful output is prohibited, and any such testing is at the user's own risk.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.