Qwen3.8
Alibaba
Cronologie
- · Linkuri către dovezi · GitHub search · Alibaba · commits · onprem-ai/deployment-catalog · @tomas-polach
- · Linkuri către dovezi · GitHub search · Alibaba · commits · finereli/pyramid-mcp · @finereli
- · Linkuri către dovezi · GitHub search · Alibaba · commits · fdietze/pi-infinite-context · @fdietze
- · Postările lui Alex · familie de modele · GitHub search · Alibaba · commits · agentgateway/agentgateway · @github-actions[bot]
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json.providers.nebius.models["Qwen/Qwen3.8-27B"].name = "Qwen3.8 27B";
- · Linkuri către dovezi · GitHub search · Alibaba · commits · aabhay007/Personal-AI-Core · @aabhay007
- · Linkuri către dovezi · GitHub search · Alibaba · commits · QuantumKuba/Diffactly · @QuantumKuba
- · Linkuri către dovezi · GitHub search · Alibaba · commits · Hallo-ich-bin-PeppaPig/Singularity · @Hallo-ich-bin-PeppaPig
- · Linkuri către dovezi · GitHub search · Alibaba · commits · Azure/azureml-assets · @hanbitmyths
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Add MAI, Qwen3.8 and Nemotron 3.5 Foundry Local coding models (#5452)
- · Postările lui Alex · familie de modele · GitHub search · Alibaba · pulls · xadupre/devdash-agents · @xadupre
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- Real Qwen3.8 27B on H200-101, physical CUDA 7: streaming generation and a follow-up turn succeeded. Used a temporary configuration with 16 KV blocks and
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] qwen38_flash package entry: register() and READMEs
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] MTP draft model
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] KV offload pool regions
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Runner input adapter
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Hyper-connection layers
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] GDN layer input preparation
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Pooled KV cache materialization
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] PD transfer: identity, manifest and Raiden connector
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Config hook, geometry checks and pooled cache layout
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] PLE feature: tables, host lookup, storage, offload and pooled PLE
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Sequence-parallel prefill backbone
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] QSA attention layer
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Model-owned GDN op and layer (no register_oot)
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Per-group Mamba index accessors
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Mamba tail fold: export prefill checkpoints from inside the step
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] In-place rows update op
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] PLE Torch-to-JAX ops
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] QSA Torch-to-JAX ops
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Torch bridge for the QSA kernels
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] GDN input preparation kernel
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Unified KV pool kernels
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] PLE lookup and gate kernels
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Hyper-connection kernels
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Pooled QSA kernel over the unified KV pool
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] QSA KV write kernels (fused, main, compressed)
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] QSA union-walk kernels (plan, dense, SparseCore gather, prefill)
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] Qwen3.8-Flash model and registration hooks
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
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[Model][Qwen3.8] QSA main-KV decode context parallelism over rank pairs (DCP-2) kernels
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vjmichael/Lu-AI-GUI · @vjmichael
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- Physical interactive owner Windows/Radeon Qwen3.8, Vulkan VRAM/TFFB TTFT p50/p95, and actual local installed MMProj; hosted CPU small models do not substitute.
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · vitessio/vitess · @jdoupe
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · nearai/cvm-compose-files · @PierreLeGuen
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · michsindlinger/specwright · @michsindlinger
- · Postările lui Alex · familie de modele · GitHub search · Alibaba · pulls · SceneWorks/SceneWorks · @michaeltrefry
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SW-7119: Qwen3.8 27B describer model and tier in core, worker, API and catalog
- · Postările lui Alex · familie de modele · GitHub search · Alibaba · pulls · NVIDIA/hyperflare-inference · @Raydius
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The pinned Qwen3.8 Flash Next checkpoint trains a 262,144-token context (theta 10M, interleaved MRoPE 11/11/10). This adds a declared serving variant of the same weights
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · FlashML-org/FreeToken · @zihaomu
- · Postările lui Alex · familie de modele · GitHub search · Alibaba · pulls · BuQQzz/SHIELD2.0 · @BuQQzz
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Makes Qwen3.8 27B (IQ1_M) a working coding model on an 8 GB card (RTX 2070 SUPER) through SHIELD's own llama-server.
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · Azure/azureml-assets · @hanbitmyths
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Add MAI, Qwen3.8 and Nemotron 3.5 Foundry Local coding models
- · Linkuri către dovezi · GitHub search · Alibaba · pulls · 0xburden/modelship · @0xburden
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- Reviewed immutable catalog of 25 standalone Qwen3.8 GGUF quantizations; wizard displays sizes, numeric/letter/full-value selection and a visible UD-Q4_K_M default. No hardware-driven quant substitution; flags
- · Linkuri către dovezi · GitHub · QwenLM/qwen-code · PR
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- The Standard preset has the same qwen3.8 effort and GLM thinking gaps and will be aligned in a follow-up
- · Postările lui Alex · familie de modele · Alex Getman
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🚨 Qwen3.8 Omni Flash is out It can see, hear and understand video, then actually act on it Give it hours of footage and it can find the right moments, translate, edit or turn it into notes. Give it a meeting and it can pull out tasks and start working on them 1M context, API from $0.43
- · Postările lui Alex · familie de modele · Alex Getman
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🚨 QWEN3.8 FLASH NEXT IS OUT The leaked specs were real: • 125B multimodal MoE • Only 6B active • 262K native context, up to 1M Qwen says it beats Claude Opus 4.6 across coding, agentic tasks, tool use and several multimodal benchmarks.
- · Postările lui Alex · familie de modele · Alex Getman
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🚨 QWEN3.8 FLASH NEXT DROPS TODAY A ModelScope description that was quickly taken down reportedly revealed: • 125B main parameters • 51B N gram embeddings • Only 6B active per token • Multimodal MoE architecture The model is also an official preview of the upcoming Qwen4 architecture.
- · Postările lui Alex · Alex Getman
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⚡️ Qwen 3.8 27B beat GPT 5.6 Terra This happened in the AA Agentic Index, a benchmark that tests how well models handle agentic tasks. And you can run Qwen 3.8 27B locally on a single RTX 3090.
- · Postările lui Alex · Alex Getman
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⚡️ Alibaba released Qwen3.8’s weights A model at Claude Opus 4.6 level, a flagship just six months ago, can now run on a single RTX 4090. Qwen3.8 27B uses around 17 GB of VRAM when quantized and should deliver ~50 tok/s.
- · Postările lui Alex · Alex Getman
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Alibaba just teased Qwen3.8 with 2.4T parameters This is the new Qwen flagship, with open weights coming soon. Alibaba ranks it right below Claude Fable 5. Public benchmarks are still missing, so nobody really knows how close it actually is to Fable, or how it stacks up against GPT-5.6 Sol and Kimi K3. Pricing is the fun part. Kimi K3 costs $3/$15, so Qwen3.8 will probably land in the same range. The preview is already live in Qoder. It uses 10x fewer credits during the day and 50x fewer at night, so you can basically test it for free.
Specificații
Radar · Qwen3.8 · Data lansării necunoscută
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