openPangu-VL-7B-x-platform is an open-weight model from openRFM. It has 8.8B parameters and a 131,072-token context. At 16-bit it needs about 21.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 30 downloads a month.
openPangu-VL-7B 是基于昇腾 NPU ，基于openPangu-Embedded-7B-V1.1语言基模和openPangu-ViT-600M视觉编码器训练的高效多模态模型。openPangu-VL-7B 训练了约 3T tokens，具备通用视觉对话、文档理解、目标定位与计数、视频理解、视觉高阶推理等能力。该模型为快思考模型。 注：…
Parameters8.8B
Context131,072
Weights17.6 GB
License—
AccessOpen weights
Monthly Downloads30
Runs On
What it takes to serve openPangu-VL-7B-x-platform (8.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 17.6 GB | 21.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 8.8 GB | 10.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 4.4 GB | 5.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 7, 2026.
openPangu-VL-7B-x-platform on every accelerator the SAVRN Index prices, at every precision
Model Card
openPangu-VL-7B 是基于昇腾 NPU ，基于openPangu-Embedded-7B-V1.1语言基模和openPangu-ViT-600M视觉编码器训练的高效多模态模型。openPangu-VL-7B 训练了约 3T tokens，具备通用视觉对话、文档理解、目标定位与计数、视频理解、视觉高阶推理等能力。该模型为快思考模型。 注： 评测使用vllm-ascend部署推理，系统prompt为空。一般而言，图片最小分辨率设置为2304\28\28能获得最优的测评效果。（OCRBench中的极小图OCR除外，建议设置为不大于64\28\28。）具体prompt和分辨率设置参见技术报告附录。 - 使用vllm-ascend推理框架，参考[vllmascendforopenpanguvl7b]进行服务部署。 - python==3.10 - CANN==8.1.RC1 - 更多推理样例和能力展示，请参见cookbooks。 除文件中对开源许可证另有约定外，openPangu-VL-7B 模型根据 OPENPANGU MODEL LICENSE AGREEMENT VERSION 1.0 授权，旨在允许使用并促进人工智能技术的进一步发展。有关详细信息，请参阅模型存储库根目录中的 LICENSE 文件。 由于 openPangu-VL-7B （“模型”）所依赖的技术固有的限制，以及人工智能生成的内容是由盘古自动生成的，华为无法对以下事项做出任何保证： 如果有任何意见和建议，请提交issue或联系[email protected]。
Excerpt from the card by openRFM.
Configuration
- Architecture
- OpenPanguVLForConditionalGeneration
- Context length (tokens)
- 131,072
- Layers
- 34
- Hidden size
- 4,096
- Feed-forward size
- 12,800
- Attention heads
- 32
- Key/value heads
- 8
- Vocabulary size
- 153,376
- RoPE base
- 6.4e+07
- Stored precision
- bfloat16
- Model type
- openpangu_vl
Identity and Version
- Repository
- hk-eai/openPangu-VL-7B-x-platform
- Publisher
- openRFM
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 8.8B parameters
- Languages
- Not stated by the source
- Revision
- 53d33a90156b8e9093e5d62676487b9cb3ab114b
- First published
- 2026-04-01
- Last updated
- 2026-10-07
Files and Weights
191 files, 17.7 GB in total. The weights are 1 file totalling 17.6 GB in safetensors.
Weights1 file · 17.6 GB
Configuration139 files · 1.1 MB
Tokenizer3 files · 2.5 MB
Documentation6 files · 64.6 KB
Other39 files · 176.9 MB
Repository3 files · 2.2 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 17.6 GB | c3cd349fcf26 |
| config.json | Configuration | 1.6 KB | — |
| configuration_openpangu_vl.py | Configuration | 259 B | — |
| generation_config.json | Configuration | 177 B | — |
| imageprocessor_openpangu_vl.py | Configuration | 186 B | — |
| inference/generate.py | Configuration | 1.8 KB | — |
| inference/vllm_ascend/examples/quick_start.py | Configuration | 2.6 KB | — |
| inference/vllm_ascend/pangu_infer/launcher.py | Configuration | 13.7 KB | — |
| inference/vllm_ascend/pangu_infer/models/vllm_ascend/__init__.py | Configuration | 1.5 KB | — |
| inference/vllm_ascend/pangu_infer/models/vllm_ascend/imageprocessor_openpangu_vl.py | Configuration | 16.1 KB | — |
| inference/vllm_ascend/pangu_infer/models/vllm_ascend/modeling_openpangu_embedded.py | Configuration | 28.8 KB | — |
| inference/vllm_ascend/pangu_infer/models/vllm_ascend/modeling_openpangu_vl.py | Configuration | 54.4 KB | — |
| inference/vllm_ascend/pangu_infer/models/vllm_ascend/processor_openpangu_vl.py | Configuration | 10.2 KB | — |
| inference/vllm_ascend/pangu_infer/models/vllm_ascend/rotary_embedding.py | Configuration | 8.2 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/kvcache/kvcache_manager.py | Configuration | 20.5 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/kvcache/swa.py | Configuration | 7.0 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/config.py | Configuration | 551 B | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/generation_monitor.py | Configuration | 33.6 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/multiproc_executor.py | Configuration | 1.2 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/repetition_detector.py | Configuration | 18.8 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/sampler.py | Configuration | 6.4 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/sequence.py | Configuration | 599 B | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/think_compressor.py | Configuration | 12.9 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/reasoning_compression/utils.py | Configuration | 1.4 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/schedule_policy/normalized_scorer.py | Configuration | 3.2 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/schedule_policy/request_queue.py | Configuration | 13.4 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/schedule_policy/schedule_policies.py | Configuration | 11.8 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/schedule_policy/weighted_score_softer.py | Configuration | 1.3 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/block_table.py | Configuration | 613 B | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/kv_cache_utils.py | Configuration | 1.7 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/no_prefix_cache_coordinator.py | Configuration | 2.6 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/sparsekv.py | Configuration | 14.3 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/sparsekv_attention_manager.py | Configuration | 1.2 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/sparsekv_block_pool_utils.py | Configuration | 1.2 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/sparsekv_runner_utils.py | Configuration | 11.3 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/accelerators/sparsekv/sparsekv_scheduler_utils.py | Configuration | 2.0 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/adaptor_manager/adaptor_manager.py | Configuration | 7.5 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/adaptor_manager/apply.py | Configuration | 5.1 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/adaptor_manager/custom_ops_patcher.py | Configuration | 7.5 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/adaptor_manager/router_patcher.py | Configuration | 4.1 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/utils/pangu_config.py | Configuration | 1.3 KB | — |
| inference/vllm_ascend/pangu_infer/pangu/utils/utils.py | Configuration | 1.3 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/__init__.py | Configuration | 427 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/attention/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/attention/layer.py | Configuration | 5.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/config.py | Configuration | 15.2 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/engine/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/engine/protocol.py | Configuration | 538 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/chat_utils.py | Configuration | 4.8 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/api_server.py | Configuration | 4.3 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/protocol.py | Configuration | 12.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/reasoning_parsers/__init__.py | Configuration | 93 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/reasoning_parsers/pangu_reasoning_parser.py | Configuration | 7.2 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/serving_chat.py | Configuration | 8.9 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/serving_completion.py | Configuration | 11.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/tool_parsers/__init__.py | Configuration | 78 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/entrypoints/openai/tool_parsers/pangu_tool_parser.py | Configuration | 13.4 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/model_executor/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/model_executor/layers/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/model_executor/layers/fused_moe/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/model_executor/layers/fused_moe/layer.py | Configuration | 13.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/model_executor/layers/linear.py | Configuration | 1.9 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/model_executor/layers/rotary_embedding.py | Configuration | 17.6 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/multimodal/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/multimodal/utils.py | Configuration | 1.1 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/multimodal/video.py | Configuration | 5.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/sampling_params.py | Configuration | 641 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/transformers_utils/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/block_pool.py | Configuration | 1.7 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/kv_cache_coordinator.py | Configuration | 2.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/kv_cache_utils.py | Configuration | 3.1 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/sched/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/sched/scheduler.py | Configuration | 38.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/core/single_type_kv_cache_manager.py | Configuration | 1.2 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/engine/__init__.py | Configuration | 1.8 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/engine/core.py | Configuration | 1.2 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/engine/core_client.py | Configuration | 5.1 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/engine/processor.py | Configuration | 6.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/executor/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/executor/abstract.py | Configuration | 2.3 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/request.py | Configuration | 5.2 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/sample/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/sample/metadata.py | Configuration | 987 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/sample/ops/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/sample/ops/topk_topp_sampler.py | Configuration | 2.1 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/sample/rejection_sampler.py | Configuration | 3.4 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/v1/sample/sampler.py | Configuration | 3.4 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/worker/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm/worker/gpu_input_batch.py | Configuration | 33.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/worker/worker_base.py | Configuration | 4.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/__init__.py | Configuration | 427 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/ascend_config.py | Configuration | 6.7 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/attention/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/attention/attention_v1.py | Configuration | 34.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/attention/attention_v1_torchair.py | Configuration | 35.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/attention/mla_v1.py | Configuration | 6.3 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/distributed/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/distributed/llmdatadist_c_mgr_connector.py | Configuration | 4.1 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/distributed/parallel_state.py | Configuration | 3.7 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/ops/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/ops/attention.py | Configuration | 6.6 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/ops/common_fused_moe.py | Configuration | 3.4 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/ops/fused_moe.py | Configuration | 25.6 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/ops/rotary_embedding.py | Configuration | 1.3 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/platform.py | Configuration | 10.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/quantization/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/quantization/quant_config.py | Configuration | 3.6 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/quantization/w8a8.py | Configuration | 1.8 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/quantization/w8a8_dynamic.py | Configuration | 23.6 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/sample/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/sample/rejection_sampler.py | Configuration | 9.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/worker/__init__.py | Configuration | — | |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/worker/cache_engine.py | Configuration | 3.5 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/worker/model_runner.py | Configuration | 3.6 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/worker/model_runner_v1.py | Configuration | 92.0 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/worker/mtp_proposer_v1.py | Configuration | 18.8 KB | — |
| inference/vllm_ascend/pangu_infer/patches/vllm_ascend/worker/worker_v1.py | Configuration | 6.1 KB | — |
| inference/vllm_ascend/pangu_infer/sitecustomize.py | Configuration | 2.8 KB | — |
| main.py | Configuration | 8.6 KB | — |
| model.safetensors.index.json | Configuration | 46.4 KB | — |
| modeling_openpangu_embedded.py | Configuration | 261 B | — |
| modeling_openpangu_vl.py | Configuration | 249 B | — |
| openpangu_vl/__init__.py | Configuration | 355 B | — |
| openpangu_vl/configuration_openpangu_vl.py | Configuration | 5.7 KB | — |
| openpangu_vl/imageprocessor_openpangu_vl.py | Configuration | 16.8 KB | — |
| openpangu_vl/modeling_openpangu_embedded.py | Configuration | 31.1 KB | — |
| openpangu_vl/modeling_openpangu_vl.py | Configuration | 88.7 KB | — |
| openpangu_vl/processor_openpangu_vl.py | Configuration | 10.2 KB | — |
| openpangu_vl/tokenization_openpangu.py | Configuration | 10.5 KB | — |
| openpangu_vl/videoprocessor_openpangu_vl.py | Configuration | 8.1 KB | — |
| preprocessor_config.json | Configuration | 823 B | — |
| processor_openpangu_vl.py | Configuration | 251 B | — |
| special_tokens_map.json | Configuration | 414 B | — |
| tokenization_openpangu.py | Configuration | 181 B | — |
| video_preprocessor_config.json | Configuration | 1.4 KB | — |
| videoprocessor_openpangu_vl.py | Configuration | 261 B | — |
| LICENSE | Documentation | 4.5 KB | — |
| OPEN SOURCE SOFTWARE NOTICE | Documentation | 35.5 KB | — |
| README.md | Documentation | 5.0 KB | — |
| README_EN.md | Documentation | 5.7 KB | — |
| doc/vllm_ascend_for_openpangu_vl_7b.md | Documentation | 6.7 KB | — |
| doc/vllm_ascend_for_openpangu_vl_7b_EN.md | Documentation | 7.2 KB | — |
| chat_template.jinja | Other | 1.4 KB | — |
| cookbooks/assets/grounding/depth_1.jpg | Other | 109.2 KB | 21ac7fa907d3 |
| cookbooks/assets/grounding/depth_2.jpg | Other | 131.4 KB | ea6caad976a5 |
| cookbooks/assets/grounding/dinner.jpg | Other | 440.9 KB | bd70e19ff10d |
| cookbooks/assets/grounding/macaron.jpg | Other | 116.7 KB | 9604a04be51e |
| cookbooks/assets/grounding/peoples.jpg | Other | 101.1 KB | 3d49bf9200e7 |
| cookbooks/assets/grounding/test_example_point_01.png | Other | 1.1 MB | 4a65d21bb6d0 |
| cookbooks/assets/grounding/test_example_point_02.png | Other | 545.5 KB | 7cbeff1c16bf |
| cookbooks/assets/grounding/tools.jpg | Other | 69.5 KB | d9843a273c47 |
| cookbooks/assets/ocr/example1_1.png | Other | 536.3 KB | a00ab06d34e0 |
| cookbooks/assets/ocr/example1_2.png | Other | 317.5 KB | 8a1e06f03f8c |
| cookbooks/assets/ocr/example2.png | Other | 594.1 KB | 7d2e6ba81924 |
| cookbooks/assets/ocr/example3.jpg | Other | 74.8 KB | — |
| cookbooks/assets/ocr/example4.png | Other | 111.3 KB | 1b2c35cfff31 |
| cookbooks/assets/ocr/example5.png | Other | 1.3 MB | e8e6388d05d1 |
| cookbooks/assets/ocr/example6.png | Other | 121.4 KB | 079d2df93107 |
| cookbooks/assets/ocr/example7.png | Other | 292.5 KB | b514ab9dd987 |
| cookbooks/assets/ocr/example7_2.png | Other | 233.4 KB | 01ae75907ed4 |
| cookbooks/assets/reasoning/biology.png | Other | 7.8 KB | 03d5588406cc |
| cookbooks/assets/reasoning/chemistry.png | Other | 152.1 KB | 73c330872e6c |
| cookbooks/assets/reasoning/geometry.png | Other | 264.9 KB | d91e111372ff |
| cookbooks/assets/reasoning/logical.png | Other | 8.3 KB | 009b3d7a457c |
| cookbooks/assets/video/example_video_1.mp4 | Other | 12.7 MB | 7a39adc894b3 |
| cookbooks/assets/video/example_video_2.mp4 | Other | 14.9 MB | 2a90a370b6a7 |
| cookbooks/assets/video/example_video_3.mp4 | Other | 26.4 MB | a005fdc45c1e |
| cookbooks/assets/video/example_video_4.mp4 | Other | 8.1 MB | cc2a87bf37fe |
| cookbooks/assets/video/example_video_5.mp4 | Other | 4.8 MB | 0613a6189fb5 |
| cookbooks/assets/video/example_video_6.mp4 | Other | 19.9 MB | 2bd56ba8ef4d |
| cookbooks/assets/video/example_video_7.mp4 | Other | 23.5 MB | f3020815b636 |
| cookbooks/assets/video/example_video_8.mp4 | Other | 25.9 MB | cf41e2c4a511 |
| cookbooks/assets/video/example_video_9.mp4 | Other | 16.1 MB | 121f77f79e28 |
| cookbooks/grounding.ipynb | Other | 10.7 MB | 68a1d3e9b017 |
| cookbooks/ocr.ipynb | Other | 5.5 MB | — |
| cookbooks/reasoning.ipynb | Other | 605.2 KB | — |
| cookbooks/video.ipynb | Other | 12.2 KB | — |
| doc/technical_report.pdf | Other | 1.3 MB | 3d9b7f7fd871 |
| inference/requirements.txt | Other | 71 B | — |
| inference/vllm_ascend/examples/start_serving_openpangu_vl_7b.sh | Other | 3.5 KB | — |
| pyproject.toml | Other | 736 B | — |
| .gitattributes | Repository | 2.1 KB | — |
| .gitignore | Repository | 129 B | — |
| .python-version | Repository | 5 B | — |
| inference/vllm_ascend/pangu_infer/patches/vllm/transformers_utils/tokenizer_group.py | Tokenizer | 1.3 KB | — |
| tokenizer.model | Tokenizer | 2.5 MB | 6b16f1558c0c |
| tokenizer_config.json | Tokenizer | 10.6 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 17.6 GB
Download from openRFM
Released by openRFM through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 17.6 GB |
| 16-bit | 17.6 GB |
| 8-bit | 8.8 GB |
| 4-bit | 4.4 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About openPangu-VL-7B-x-platform
How much GPU memory does openPangu-VL-7B-x-platform need?
About 21.1 GB at 16-bit and 5.3 GB at 4-bit: the weights (8.8B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run openPangu-VL-7B-x-platform on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
What is openPangu-VL-7B-x-platform's context length?
131,072 tokens, from the maximum position embeddings in its published configuration.