{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Model: inclusionAI/LLaDA2.0-Uni-FP8","description":"InclusionAI (Ant Group) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/d6c4a960-010a-4ca7-8e50-d0daac87bfaf","json_url":"https://onlylabs.fyi/signals/d6c4a960-010a-4ca7-8e50-d0daac87bfaf/signal.json","generated_at":"2026-06-11T02:40:53.336199+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/d6c4a960-010a-4ca7-8e50-d0daac87bfaf","signal_json":"https://onlylabs.fyi/signals/d6c4a960-010a-4ca7-8e50-d0daac87bfaf/signal.json","source":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni-FP8","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/LLaDA2.0-Uni-FP8. 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This reduces GPU memory usage by ~48% for model loading while preserving output quality. Quantization Details - **Method**: Block-wise FP8 (float8_e4m3fn) with per-block scale factors - **Block size**: 128×128 - **Quantized layers**: MoE routed expert weights (gate_proj, up_proj, down_proj) - **Kept in BF16**: Embeddings, lm_head, attention projections, shared..."},"evidence_pages":[{"url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni-FP8/raw/main/README.md","final_url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni-FP8/raw/main/README.md","title":"inclusionAI/LLaDA2.0-Uni-FP8 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:40:53.336199+00:00","bytes":3298,"raw_path":"8d128e7bf7d9f5616933746d5703edd64182640bab9cbe4dbe5a32fb0ccbd262.md","content_hash":"b59f640be9ab9401f79b81bc41fc952efc6c17ecff75f3f5d7555238386a942a","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 language: - en tags: - multimodal - image-generation - image-understanding - image-editing - diffusion - moe - text-to-image - fp8 - quantized library_name: transformers pipeline_tag: any-to-any base_model: inclusionAI/LLaDA2.0-Uni --- <p align=\"center\"> <img src=\"./assets/llada_logo.png\" width=\"20%\"/> </p> <div align=\"center\"> <h1> LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model </h1> <h3> FP8 Quantized Version of LLaDA2.0-Uni </h3> [[📑 Technical Report]()] &emsp; [[🌐 Github](https://github.com/inclusionAI/LLaDA2.0-Uni)] <b>AGI Research Center, Inclusion AI</b> </div> Overview This is the **FP8 quantized** version of [LLaDA2.0-Uni](https://huggingface.co/inclusionAI/LLaDA2.0-Uni), featuring block-wise FP8 quantization of MoE expert weights. This reduces GPU memory usage by ~48% for model loading while preserving output quality. Quantization Details - **Method**: Block-wise FP8 (float8_e4m3fn) with per-block scale factors - **Block size**: 128×128 - **Quantized layers**: MoE routed expert weights (gate_proj, up_proj, down_proj) - **Kept in BF16**: Embeddings, lm_head, attention projections, shared..."}],"related_signals":[{"id":"107f41df-b146-4e20-b2f3-fe20b0beba2f","url":"https://onlylabs.fyi/signals/107f41df-b146-4e20-b2f3-fe20b0beba2f","source_url":"https://huggingface.co/inclusionAI/ARGenSeg-8B","title":"inclusionAI/ARGenSeg-8B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-15T02:33:52+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"dde86c8e-76c3-4d1e-83d6-49cf5c3f4ffb","url":"https://onlylabs.fyi/signals/dde86c8e-76c3-4d1e-83d6-49cf5c3f4ffb","source_url":"https://huggingface.co/inclusionAI/Ring-2.6-1T","title":"inclusionAI/Ring-2.6-1T","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-14T08:10:02+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"d56c53e5-d719-424a-964b-24995a3277c7","url":"https://onlylabs.fyi/signals/d56c53e5-d719-424a-964b-24995a3277c7","source_url":"https://huggingface.co/inclusionAI/Ling-2.6-1T","title":"inclusionAI/Ling-2.6-1T","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-29T03:19:36+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"5f271d7b-0454-436e-b047-20873d891685","url":"https://onlylabs.fyi/signals/5f271d7b-0454-436e-b047-20873d891685","source_url":"https://huggingface.co/inclusionAI/Ling-2.6-flash","title":"inclusionAI/Ling-2.6-flash","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-28T03:27:56+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"34bceb00-128e-426c-9c45-ec7f6b585baa","url":"https://onlylabs.fyi/signals/34bceb00-128e-426c-9c45-ec7f6b585baa","source_url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni","title":"inclusionAI/LLaDA2.0-Uni","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-22T17:10:47+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"ff186850-cf17-4547-8a97-b1b67f8a35cc","url":"https://onlylabs.fyi/signals/ff186850-cf17-4547-8a97-b1b67f8a35cc","source_url":"https://huggingface.co/inclusionAI/DR-Venus-4B-RL","title":"inclusionAI/DR-Venus-4B-RL","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-21T08:05:38+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"}]}