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Djuunaa

djuna
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reacted to wolfram's post with 🤗 about 13 hours ago
Finally finished my extensive **Qwen 3 evaluations** across a range of formats and quantisations, focusing on **MMLU-Pro** (Computer Science). A few take-aways stood out - especially for those interested in local deployment and performance trade-offs: 1️⃣ **Qwen3-235B-A22B** (via Fireworks API) tops the table at **83.66%** with ~55 tok/s. 2️⃣ But the **30B-A3B Unsloth** quant delivered **82.20%** while running locally at ~45 tok/s and with zero API spend. 3️⃣ The same Unsloth build is ~5x faster than Qwen's **Qwen3-32B**, which scores **82.20%** as well yet crawls at <10 tok/s. 4️⃣ On Apple silicon, the **30B MLX** port hits **79.51%** while sustaining ~64 tok/s - arguably today's best speed/quality trade-off for Mac setups. 5️⃣ The **0.6B** micro-model races above 180 tok/s but tops out at **37.56%** - that's why it's not even on the graph (50 % performance cut-off). All local runs were done with LM Studio on an M4 MacBook Pro, using Qwen's official recommended settings. **Conclusion:** Quantised 30B models now get you ~98 % of frontier-class accuracy - at a fraction of the latency, cost, and energy. For most local RAG or agent workloads, they're not just good enough - they're the new default. Well done, Qwen - you really whipped the llama's ass! And to OpenAI: for your upcoming open model, please make it MoE, with toggleable reasoning, and release it in many sizes. *This* is the future!
new activity about 16 hours ago
BarraHome/llama3.2-1b-mla:Question About MLA Usage?
reacted to sequelbox's post with 👀 about 17 hours ago
NEW RELEASE: Esper 3 for Qwen 3! - A full-stack software assistant: a reasoning finetune focused on coding, architecture, and DevOps using the Titanium and Tachibana datasets! - Improved general and creative reasoning skills, powered by the Raiden dataset. 4B model: https://huggingface.co/ValiantLabs/Qwen3-4B-Esper3 8B model: https://huggingface.co/ValiantLabs/Qwen3-8B-Esper3 We'll also be bringing Esper 3 to larger Qwen 3 models as soon as we can - if you want these, consider helping us out: https://huggingface.co/spaces/sequelbox/SupportOpenSource More models and datasets to come soon! with my love and enthusiasm, allegra
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