Qwen/Qwen3.8-27B
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Vitali Bohush
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liked a model about 2 months ago
Qwen/Qwen3.8-27B upvoted an article about 2 months ago
How Much Memory Does Your Agent Actually Need? liked a model 11 months ago
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How Much Memory Does Your Agent Actually Need?
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Thanks. Finally, someone did KG model right.
Fine-tuning DAG Reasoning into LFM2-VL-1.6B, LFM2-1.2B, and Moondream2 could be very cool for those in extreme GPU poverty.
https://huggingface.co/LiquidAI/LFM2-VL-1.6B
https://huggingface.co/LiquidAI/LFM2-1.2B
https://huggingface.co/vikhyatk/moondream2
https://www.liquid.ai/research/lfm-1b-math-can-small-models-be-concise-reasoners
https://moondream.ai/blog/moondream-2025-06-21-release
reacted to sequelbox's post with 👍 about 1 year ago
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We've brought DAG Reasoning to gpt-oss-20b and Qwen3-4B-Thinking-2507!
- DAG Reasoning is the first model in our Experimental Reasoning Modalities series: use it to create structured, analytical Directed Acyclic Graphs to provide insight into your queries and situations!
- Multi-step analysis identifies causal relationships, produces confidence measurements, and forms a single structured graph object.
- DAG Reasoning Format provides clear, readable JSON containing structured, useful information; easy to use for creating visualizations, doing analysis, or further conversation with your assistant.
- Trained in a variety of subjects for flexible analysis: programming, science, business, economics, finance, law, logistics, management, and more!
Our newest versions of DAG Reasoning are available now!
Get gpt-oss-20b: sequelbox/gpt-oss-20b-DAG-Reasoning
Get Qwen3-4B-Thinking-2507: sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning
You can also get the DAG Reasoning dataset, to train your own models to use DAG Reasoning Format: sequelbox/DAG-Reasoning-DeepSeek-R1-0528
Support our experimental open-source research efforts, models and datasets: sequelbox/SupportOpenSource
Our upcoming releases, coming soon with your support:
- bringing Shining Valiant 3 to the Qwen 3 2507 series!
- our next release in the Experimental Reasoning Modalities series - we're hard at work on this right now!
- we'll be upgrading the Esper line with Esper 3.1 - newer and better datasets, asking tougher and deeper coding, DevOps, and architecture questions, plus improvements to general chat!
with love and appreciation,
allegra
- DAG Reasoning is the first model in our Experimental Reasoning Modalities series: use it to create structured, analytical Directed Acyclic Graphs to provide insight into your queries and situations!
- Multi-step analysis identifies causal relationships, produces confidence measurements, and forms a single structured graph object.
- DAG Reasoning Format provides clear, readable JSON containing structured, useful information; easy to use for creating visualizations, doing analysis, or further conversation with your assistant.
- Trained in a variety of subjects for flexible analysis: programming, science, business, economics, finance, law, logistics, management, and more!
Our newest versions of DAG Reasoning are available now!
Get gpt-oss-20b: sequelbox/gpt-oss-20b-DAG-Reasoning
Get Qwen3-4B-Thinking-2507: sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning
You can also get the DAG Reasoning dataset, to train your own models to use DAG Reasoning Format: sequelbox/DAG-Reasoning-DeepSeek-R1-0528
Support our experimental open-source research efforts, models and datasets: sequelbox/SupportOpenSource
Our upcoming releases, coming soon with your support:
- bringing Shining Valiant 3 to the Qwen 3 2507 series!
- our next release in the Experimental Reasoning Modalities series - we're hard at work on this right now!
- we'll be upgrading the Esper line with Esper 3.1 - newer and better datasets, asking tougher and deeper coding, DevOps, and architecture questions, plus improvements to general chat!
with love and appreciation,
allegra
- 1 reply