Qwen3.8-27B
Listed on the provider's own model-list page, not yet hand-verified into AI Squawk's model reference — some fields below may be unknown until it is. full model reference
unknown · released unknown · apache-2.0 · announcement · weights
Price
unknown — not published, or the API model id isn't known yet.
Context window
unknown
Rate limits
not published as a table by this provider.
Retirement
no retirement announced.
Runs on
no merged support PR yet on the runtimes AI Squawk watches (vLLM, llama.cpp, transformers, SGLang, Ollama), and not on the Ollama library.
Latest mentions
- TOOLING 4x Radeon AI PRO R9700 + 2x RTX 3090 on one x16 slot, using a PCIe switch
— Four Radeon AI PRO R9700s and two RTX 3090s behind a PEX88096 switch on one X570 slot: BIOS, kernel flags, ROCm and CUDA, and Qwen3.8-27B… · 6d ago
- TOOLING Nous Research Releases Arete-27B that Cuts Qwen3.8-27B Propaganda From 22% to 0.9%
— Nous Research released Arete-27B, an Apache 2.0 fine-tune of Qwen3.8-27B. · 6d ago
- TOOLING NousResearch/Arete-27B · Hugging Face (Qwen finetune)
— from NousResearch: Arete-27B We post-trained over Alibaba's Qwen3.8-27B to reinforce western values on a Chinese-trained model. · 7d ago
- TOOLING Qwen3.8-27B has become unuseable recently
— When it came out, I downloaded a Q4 quant of qwen3.8-27b and ran it using llama.cpp on my RTX 4090 and it was incredible. · 9d ago
- TOOLING Qwen be like
— Paraphrasing the thinking I saw from Qwen3.8-27B >Hmm, I can take the screenshot, there's a tool for that. · 9d ago
- RESEARCH Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard
— · 13d ago
- RELEASE Gemma-4-31B-Humanlike-Chat: 2.0's improved human voice on official Gemma 4 31B
— The previous released Qwen3.8-27B-Humanlike-Chat 2.0, a fine-tune that texts humanly and does stuff, is now at 136k downloads for the GGUF… · 15d ago
- TOOLING How to Run Underdog Saluki 27B: 2-Bit Qwen3.8-27B Tool-Calling Guide
— Explore a complete coding guide comparing Underdog Saluki 27B with ISTA's GSQ-RCO quantization, examining GGUF headers, memory usage, and… · 20d ago
- RELEASE Improve Qwen3.8-27b low quants by using a prefiller model that streams from SSD
— This demo from ISTA-DASLab recovers low quant accuracy while retaining low VRAM usage and fast decoding. · 25d ago
- RESEARCH Privacy-preserving inference on hosted models: a learned input-embedding transform for frozen Qwen3.8-27B
— Every prompt sent to a hosted language model is readable by whoever runs it. · 25d ago
- TOOLING pplx-decider
— pplx-decider is a 27B decision model from Perplexity, fine-tuned from Qwen3.8-27B · 30d ago
- TOOLING Engineer / developer observations of Gemma4-31B, Qwen3.8-27B, and 6.1-Sol for software engineering work
— For what it's worth. I'm a mechanical engineer by education and software engineer in practice over the past ~20 years. · 34d ago
- TOOLING Qwen3.8-27B on a single 3090: 140 tok/s on code with a custom megakernel
— I've been using Claude Opus 5.5 to speed up Qwen3.8-27B on my PC (rtx 3090), it wrote a CUDA megakernel that is 1.4-1.9x faster than… · 35d ago
- TOOLING Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original at Tool Calling
— Underdog Saluki 27B is a 7.89 GB, 2-bit GGUF of Qwen3.8-27B under Apache 2.0. · 36d ago
- TOOLING Qwen3.8-27B: 159 tok/s on R9700, 64 tok/s on Strix Halo
— LemonSeed Studio is an iPad editor/IDE with on-device inference on an AMD GPU in a Thunderbolt enclosure. · 36d ago
- TOOLING Qwen3.8-27B-Humanlike-Chat 2.0: texts like a human, now with tool calls and better instruction following
— Last month I posted a Qwen3.8-27B LoRA that makes it talk like a person instead of an assistant. · 43d ago
- TOOLING Jeff-Qwen3.5-0.8B v1.2 + 9 LoRA adapters: put it in front of Qwen3.8-27B for 38× faster decisions and +8.7 points accuracy, for under 2 GB extra memory
— A few days ago I released Jeff-Qwen3.5-0.8B, a small "System 1" model that picks between options you define and returns a calibrated… · 44d ago
- RESEARCH Qwen3.8-27B-pi: Effort-Ordered Reasoning for Agentic Coding
— · 44d ago
- TOOLING Swift 1.5 27b: Swift Qwen just got faster
— Swift 1.5 on Qwen3.8-27B: stronger than Swift 1.0 on agentic and coding tasks, with fewer thinking tokens. · 49d ago
- RELEASE BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer Thinking Tokens at a 0.86pp Accuracy Cost
— BottleCap AI has released ThinkingCap-Qwen3.8-27B, a fine-tune of Qwen3.8-27B that spends 37.2% fewer thinking tokens across 12 benchmarks. · 50d ago