Local AI Stats.
Skip to content

OpenMobile-2 · MODEL RECORD

OpenMobile-2 27B

OpenMobile-2 27B has 26.896 billion total parameters. The selected Q4_K_M GGUF file is 16.547 GB.

Data snapshot: . 5 published tests in this catalog.

Model file and details

Provider
OpenMobile-2
Total parameters
26,895,998,464
Exact file size
16,547,399,680 bytes
Quantization / precision
Q4_K_M
Weight repository
mradermacher/OpenMobile-2-27B-GGUF
Original model repository
OpenMobile-2/OpenMobile-2-27B
Weight revision
cc84e5ad501fb33bab124b146866628808eeeea5
Model revision
e78ea190cc37e68e5fdc95ce83ed1e8febf8244b
Runtime notes
Confirm model architecture and quantization support in your runner.
Recorded release date
2026-10-09
Date evidence
The official source card and benchmark table were published 9 October 2026; the complete static Q4_K_M conversion and vision projectors were published 10 October 2026.

OpenMobile-2-27B.Q4_K_M.gguf

GGUF file and download on Hugging Face · Original model card

Published benchmark results

These scores were compiled from the linked sources. These published scores were not independently tested here. Different prompts, precision, thinking budgets and tools can change results.

AndroidWorld Pass@1 · OpenMobile-2

79.9 / 100

Publisher-reported AndroidWorld Pass@1 for OpenMobile-2. Specialist mobile-agent benchmark; not a general intelligence, speed or local-quantization test.

Benchmark efficiency: 4.829 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.

Test settings: Publisher AndroidWorld Pass@1 table for the official source checkpoint. The card compares OpenMobile-2-27B with several mobile agents but does not disclose evaluation hardware, evaluator revision, task count or generation settings.

Publisher-run source-checkpoint result, not an independent evaluation and not a measurement of the selected Q4_K_M file. Local screenshot use also requires one separate vision projector. The 16,547,399,680-byte language-weight footprint excludes the projector, runtime, image tensors, KV cache and context memory and does not establish device speed or compatibility.

Read the AndroidWorld Pass@1 · OpenMobile-2 source

MobileWorld GUI · OpenMobile-2

50.4 / 100

Publisher-reported MobileWorld GUI score for OpenMobile-2. Specialist mobile GUI-agent benchmark; not a general intelligence, speed or local-quantization test.

Benchmark efficiency: 3.046 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.

Test settings: Publisher MobileWorld GUI table for the official source checkpoint. The card does not disclose evaluation hardware, evaluator revision, task count or generation settings.

Publisher-run source-checkpoint result, not an independent evaluation and not a measurement of the selected Q4_K_M file. Cross-model values remain protocol-dependent.

Read the MobileWorld GUI · OpenMobile-2 source

MobileGym SR · OpenMobile-2

51.2 / 100

Publisher-reported MobileGym success rate for OpenMobile-2. Specialist mobile-agent benchmark; not a general intelligence, speed or local-quantization test.

Benchmark efficiency: 3.094 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.

Test settings: Publisher MobileGym success-rate table for the official source checkpoint. The card does not disclose evaluation hardware, evaluator revision, task count or generation settings.

Publisher-run source-checkpoint result, not an independent evaluation and not a measurement of the selected Q4_K_M file.

Read the MobileGym SR · OpenMobile-2 source

MobileGym++ Hybrid · OpenMobile-2

67 / 100

Publisher-reported MobileGym++ Hybrid score for OpenMobile-2. Specialist mobile-agent benchmark; not a general intelligence, speed or local-quantization test.

Benchmark efficiency: 4.049 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.

Test settings: Publisher MobileGym++ Hybrid table for the official source checkpoint. The card does not disclose evaluation hardware, evaluator revision, task count or generation settings.

Publisher-run source-checkpoint result, not an independent evaluation and not a measurement of the selected Q4_K_M file.

Read the MobileGym++ Hybrid · OpenMobile-2 source

SPA-Bench L3 · OpenMobile-2

59.6 / 100

Publisher-reported SPA-Bench L3 score for OpenMobile-2. Specialist app-native tool-use benchmark; not a general intelligence, speed or local-quantization test.

Benchmark efficiency: 3.602 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.

Test settings: Publisher SPA-Bench L3 table for the official source checkpoint. The benchmark concerns app-native tool use; the card does not disclose evaluation hardware, evaluator revision, task count or generation settings.

Publisher-run source-checkpoint result, not an independent evaluation and not a measurement of the selected Q4_K_M file.

Read the SPA-Bench L3 · OpenMobile-2 source

Memory and comparison limits

Context and version evidence: The repository and file name identify the selected model. Revision hashes are shown above when recorded. Tested context length, full hardware configuration and run date are not consistently recorded in this snapshot. Only settings explicitly stated in each benchmark record are known.

The 16.547 GB figure covers model weights in this file. It excludes the context cache, runtime, operating system and any separate multimodal files. It is not a measured RAM requirement or a token-generation speed.

Use the model ranking chart to compare one test at a time. Use the 8, 16 and 32 GB memory guide. Check hardware memory and bandwidth before choosing a model.

Need a computer for OpenMobile-2 27B?

These complete configurations pass the initial weight-size check for the selected 16.55 GB file. Allow extra memory for context and software. Check the model’s runtime notes and your inference software before buying.

CPU inference

GMKtec K15 · 32GB

Core Ultra 5 125U, 32GB DDR5-4800 (2 x 16GB), 512GB PCIe 4.0 SSD

$669.99Dated reference · not a live offer

32 GB system RAM · CPU planning

Low-power CPU and shared graphics limit heavy inference.

Check price on Amazon ↗Specifications & model limits
Listing and price evidence

Listing evidence: 2026-09-25. Amazon.com base price visible in an owner-supplied screenshot reviewed 25 Sep 2026; capture time not supplied. Dated reference, not a live quote. Excludes card signup offers, coupons, tax and shipping.

Apple unified memory

Apple Mac mini M5 Pro · 24GB

15-core CPU, 16-core GPU, 24GB unified memory, 512GB SSD

$1,699.00Dated reference · not a live offer

24 GB unified memory

Fixed 24GB memory and internal storage limit model size; no CUDA support; Amazon main-offer price and stock were not verified in this run.

Check price on Amazon ↗Specifications & model limits
Listing and price evidence

Listing evidence: 2026-10-03. Apple US launch price announced 22 September 2026: USD 1,699. Dated manufacturer reference, not an Amazon offer; tax and shipping may differ.

AMD unified memory

GMKtec EVO-X2

Ryzen AI Max+ 395, 64GB LPDDR5X-8000, 1TB PCIe 4.0 SSD

$2,199.99Dated reference · not a live offer

64 GB unified memory

Memory is soldered and shared with the operating system.

Check price on Amazon ↗Specifications & model limits
Listing and price evidence

Listing evidence: 2026-09-24. GMKtec, EVO-X2 / 64GB / 1TB, recorded 22 Sep 2026; exact ASIN capacity identified 24 Sep. This is a dated reference, not a current Amazon price; tax, shipping and bundle contents may differ.

Memory matches are estimates, not tested compatibility or speed. As an Amazon Associate I earn from qualifying purchases.

Compare more computers for this model

RAM and VRAM planning for OpenMobile-2 27B

Confirm model architecture and quantization support in your runner. The selected weights use 16.547 GB; this excludes context cache, runtime buffers and other programs.

System RAM (CPU inference)
24 GB planning tier · 16.8 GB initial weight budget
Dedicated VRAM
24 GB planning tier · 19.2 GB initial weight budget
Unified memory
24 GB planning tier · 16.8 GB initial weight budget

These are the first listed tiers that pass our reserve policy, not measured minimum requirements. System RAM and VRAM remain separate. Use the memory tool to change the reserve for your context and runner.

Related models with shared benchmark coverage

Compare by memory and task · Browse the full model directory