
Qwen3.8
Alibaba
التسلسل الزمني
- · روابط المصادر · GitHub search · Alibaba · commits · onprem-ai/deployment-catalog · @tomas-polach
- · روابط المصادر · GitHub search · Alibaba · commits · finereli/pyramid-mcp · @finereli
- · روابط المصادر · GitHub search · Alibaba · commits · fdietze/pi-infinite-context · @fdietze
- · منشورات Alex · عائلة نماذج · GitHub search · Alibaba · commits · agentgateway/agentgateway · @github-actions[bot]
مقتطف
json.providers.nebius.models["Qwen/Qwen3.8-27B"].name = "Qwen3.8 27B";
- · روابط المصادر · GitHub search · Alibaba · commits · aabhay007/Personal-AI-Core · @aabhay007
- · روابط المصادر · GitHub search · Alibaba · commits · QuantumKuba/Diffactly · @QuantumKuba
- · روابط المصادر · GitHub search · Alibaba · commits · Hallo-ich-bin-PeppaPig/Singularity · @Hallo-ich-bin-PeppaPig
- · روابط المصادر · GitHub search · Alibaba · commits · Azure/azureml-assets · @hanbitmyths
مقتطف
Add MAI, Qwen3.8 and Nemotron 3.5 Foundry Local coding models (#5452)
- · منشورات Alex · عائلة نماذج · GitHub search · Alibaba · pulls · xadupre/devdash-agents · @xadupre
مقتطف
- 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
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] qwen38_flash package entry: register() and READMEs
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] MTP draft model
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] KV offload pool regions
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Runner input adapter
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Hyper-connection layers
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] GDN layer input preparation
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Pooled KV cache materialization
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] PD transfer: identity, manifest and Raiden connector
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Config hook, geometry checks and pooled cache layout
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] PLE feature: tables, host lookup, storage, offload and pooled PLE
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Sequence-parallel prefill backbone
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] QSA attention layer
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Model-owned GDN op and layer (no register_oot)
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Per-group Mamba index accessors
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Mamba tail fold: export prefill checkpoints from inside the step
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] In-place rows update op
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] PLE Torch-to-JAX ops
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] QSA Torch-to-JAX ops
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Torch bridge for the QSA kernels
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] GDN input preparation kernel
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Unified KV pool kernels
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] PLE lookup and gate kernels
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Hyper-connection kernels
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Pooled QSA kernel over the unified KV pool
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] QSA KV write kernels (fused, main, compressed)
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] QSA union-walk kernels (plan, dense, SparseCore gather, prefill)
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] Qwen3.8-Flash model and registration hooks
- · روابط المصادر · GitHub search · Alibaba · pulls · vllm-project/vllm-torchtpu · @DRZDONG
مقتطف
[Model][Qwen3.8] QSA main-KV decode context parallelism over rank pairs (DCP-2) kernels
- · روابط المصادر · GitHub search · Alibaba · pulls · vjmichael/Lu-AI-GUI · @vjmichael
مقتطف
- 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.
- · روابط المصادر · GitHub search · Alibaba · pulls · vitessio/vitess · @jdoupe
- · روابط المصادر · GitHub search · Alibaba · pulls · nearai/cvm-compose-files · @PierreLeGuen
- · روابط المصادر · GitHub search · Alibaba · pulls · michsindlinger/specwright · @michsindlinger
- · منشورات Alex · عائلة نماذج · GitHub search · Alibaba · pulls · SceneWorks/SceneWorks · @michaeltrefry
مقتطف
SW-7119: Qwen3.8 27B describer model and tier in core, worker, API and catalog
- · منشورات Alex · عائلة نماذج · GitHub search · Alibaba · pulls · NVIDIA/hyperflare-inference · @Raydius
مقتطف
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
- · روابط المصادر · GitHub search · Alibaba · pulls · FlashML-org/FreeToken · @zihaomu
- · منشورات Alex · عائلة نماذج · GitHub search · Alibaba · pulls · BuQQzz/SHIELD2.0 · @BuQQzz
مقتطف
Makes Qwen3.8 27B (IQ1_M) a working coding model on an 8 GB card (RTX 2070 SUPER) through SHIELD's own llama-server.
- · روابط المصادر · GitHub search · Alibaba · pulls · Azure/azureml-assets · @hanbitmyths
مقتطف
Add MAI, Qwen3.8 and Nemotron 3.5 Foundry Local coding models
- · روابط المصادر · GitHub search · Alibaba · pulls · 0xburden/modelship · @0xburden
مقتطف
- 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
- · روابط المصادر · GitHub · QwenLM/qwen-code · PR
مقتطف
- The Standard preset has the same qwen3.8 effort and GLM thinking gaps and will be aligned in a follow-up
- · منشورات Alex · عائلة نماذج · Alex Getman
مقتطف
🚨 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
- · منشورات Alex · عائلة نماذج · Alex Getman
مقتطف
🚨 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.
- · منشورات Alex · عائلة نماذج · Alex Getman
مقتطف
🚨 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.
- · منشورات Alex · Alex Getman
مقتطف
⚡️ 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.
- · منشورات Alex · Alex Getman
مقتطف
⚡️ 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.
- · منشورات Alex · Alex Getman
مقتطف
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.
المواصفات
الرادار · Qwen3.8 · تاريخ الإصدار غير معروف
أسئلة شائعة
متى تم إصدار Qwen3.8؟
تاريخ الإصدار غير معروف