REX-Intern-S2-Bio-F3

Model · Image and text to text

Qwen3.6-35B-A3B-FP8

Qwen

Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. This release delivers substantial upgrades, particularly in For more details, please refer to our blog post Qwen3.6-35B-A3B. Empty cells (--) indicate scores not available or not applicable. For streamlined integration, we recommend using Qwen3.6 via APIs. Below is a guide to use Qwen3.6 via OpenAI-compatible API. Qwen3.6 can be served via APIs with popular inference frameworks. In…

Model · Image and text to text

Qwen3.5-35B-A3B-FP8

Qwen

Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency. For more details, please refer to our blog post Qwen3.5. WMT24++: a harder subset of WMT24 after difficulty labeling and rebalancing; we report the averaged scores on 55 languages using XCOMET-XXL. Empty cells (--) indicate scores not yet available or not applicable. Empty cells (--) indicate scores not…

Model · Image and text to text

Qwen3.6-35B-A3B

Qwen

Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. This release delivers substantial upgrades, particularly in For more details, please refer to our blog post Qwen3.6-35B-A3B. Empty cells (--) indicate scores not available or not applicable. For streamlined integration, we recommend using Qwen3.6 via APIs. Below is a guide to use Qwen3.6 via OpenAI-compatible API. Qwen3.6 can be served via APIs with popular inference frameworks. In…

Model · Image and text to text

Qwen3.5-35B-A3B

Qwen

Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency. For more details, please refer to our blog post Qwen3.5. WMT24++: a harder subset of WMT24 after difficulty labeling and rebalancing; we report the averaged scores on 55 languages using XCOMET-XXL. Empty cells (--) indicate scores not yet available or not applicable. Empty cells (--) indicate scores not…

Model · Image and text to text

Qwen3.6-35B-A3B-Brainwaves-Nex-Uncensored

Gheorghe Chesler

This model is a merge of: - nightmedia/Qwen3.6-35B-A3B-Brainwaves - orcarouter/Nex-N2.5-mini-Uncensored - thomsonreuters/Thomson-1.0-Small - nightmedia/Qwen3.6-35B-A3B-Fable-Holo3.1 - nightmedia/Qwen3.6-35B-A3B-FSM - orcarouter/Nex-N2.5-mini-Uncensored Lab name: Qwen3.6-35B-A3B-AgentWorld-Fable-Holo3.1-Iris-Thomson-B-Nex2 Brainwaves Performance with different expert count (more metrics coming) Qwen3.6-35B-A3B-Brainwaves orcarouter/Nex-N2.5-mini-Uncensored The merge with the original nex-agi/Nex-N2.5-mini Qwen3.6-35B-A3B-Brainwaves-Nex nex-agi/Nex-N2.5-mini Qwen3.6-35B-A3B-Instruct This model is using(an early version of) the fixed jinja template from froggeric/Qwen-Fixed-Chat-Templates Drop…

Model · Image and text to text

qwen3.6-35b-a3b-tool-prompts-ckpt444-merged-fp8

Manish

Base: Qwen/Qwen3.6-35B-A3B-FP8 (same FP8 block format/scales convention). Adapter: qwen3.6-35b-a3b-tool-prompts-ckpt444-adapter (LoRA r=32, 2 epochs, 1873 dialogues). Merged in BF16 (RAM only), block-requantized to FP8 e4m3/128. Chat template: qwen3template333.jinja. Serve with sglang / vllm / transformers.