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Sponsored by
YouArt
AtomicChat / Ling-3.0-flash-VL-GGUF
Model's Last Updated: September 09 2026
image-text-to-text
Introduction of Ling-3.0-flash-VL-GGUF
Model Details of Ling-3.0-flash-VL-GGUF
How to Run Ling 3.0 Flash VL Locally
Built from InclusionAI's original weights using Atomic Chat's existing Ling importance matrix. The calibration corpora behind our builds are public.
- Ling 3.0 Flash VL is InclusionAI's vision-language model for text and image inputs.
- Choose AD-Q4_K_M, AD-Q5_K_M, AD-Q6_K, or AD-Q8_0. Image inputs use the shared F32 vision projector.
- These builds are an experimental preview. Use the accompanying runtime; full quality validation is still in progress.
Prepared from the original inclusionAI checkpoint, revision
869591498e8dbb41d4d96e3e2a5b428a2f70eb1e
.
These are the Atomic AD layouts, made on CPU using the existing calibration iMatrix. The full nine-variant text comparison and CPU speed measurements are complete; see
FINAL_REPORT.md
. This repository is an experimental working preview, not a completed benchmark release.
Uploads arrive progressively. Check UPLOAD_STATUS.json before downloading a variant. Each language variant requires all six GGUF shards in the same directory; select shard 00001 when loading.
| Variant | Complete language files, decimal GB |
|---|---|
| AD-Q4_K_M | 79.30 |
| AD-Q5_K_M | 89.44 |
| AD-Q6_K | 107.14 |
| AD-Q8_0 | 132.73 |
Vision requires the shared F32 mmproj , an additional 1.74 GB. File size is not a RAM requirement estimate.
Runtime requirement
Use the accompanying private runtime patch and added source files, based on
AtomicBot-ai/atomic-llama-cpp-turboquant@cd560939087c95b93a1f30a95603d6b079436952
. Stock llama.cpp and the released Atomic Chat app have not been validated for these artifacts. See
RUNTIME.md
.
Checks completed
All four variants: 917 tensor types/shapes verified, six-shard integrity checked, complete SHA-256 manifests, and all 382 protected F32 tensor payloads unchanged from BF16. Text and a spatial image passed on all four. Q4/Q6/Q8 additionally passed the OCR and object-count smoke cases. These are functional smoke checks, not a comprehensive vision benchmark.
Full text quality comparisons use the historical held-out 92 × 4096 protocol and a fresh BF16 reference from this checkpoint. Full text results are available in FINAL_REPORT.md . Video and maximum context are not validated.
The existing iMatrix comes from
AtomicChat/Ling-3.0-flash-GGUF@253738fe190c15f329001f263f355fc1562bbe7c
, SHA-256
7d3c0ebe9eb235cc08e0b7c91886f5c422772ea95eebbf0f53b0974a1c040991
. Its 573 entries match the new language tensor dimensions. Four routed experts have no observations in that matrix; uniform importance was used for those entries.
manifest.json and SHA256SUMS describe the complete intended set. Actual upload completion is recorded separately in UPLOAD_STATUS.json.
Completed measurements
Full report · KLD chart · Metrics CSV .
The pilot results are separate from the full 92-block comparison. Completion is not a comprehensive vision or agentic quality certification.
Runs of AtomicChat Ling-3.0-flash-VL-GGUF on huggingface.co
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More Information About Ling-3.0-flash-VL-GGUF huggingface.co Model
Url of Ling-3.0-flash-VL-GGUF
Ling-3.0-flash-VL-GGUF huggingface.co Url
Provider of Ling-3.0-flash-VL-GGUF huggingface.co
Other API from AtomicChat
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