Intel/Ling-flash-2.0-gguf-q2ks-mixed-AutoRound
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luckydevil_13
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Inference with llama.cpp + Open WebUI gives repeating `?`
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#1 opened 5 days ago
by
whoisjeremylam
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ComfyUI ?
8
#1 opened 29 days ago
by
AI-Joe-git
Ударение!!!
2
#33 opened 28 days ago
by
NGC404
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about 2 months ago
Портативная версия F5-TTS RUSSIAN
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#23 opened 2 months ago
by
zelenukhin
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codelion's
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3 months ago
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Implemented Test-Time Diffusion Deep Researcher (TTD-DR) in OptiLLM! 🚀
Just shipped a game-changing feature that turns any LLM into a powerful research agent. TTD-DR applies diffusion-inspired techniques to iteratively refine research reports while grounding them in real web sources.
How it works:
• Generates initial draft
• Identifies knowledge gaps
• Searches web for missing info
• Iteratively refines through "denoising" steps
• Produces comprehensive reports with 15-30+ sources
The magic? It works with ANY model so you can choose your favorite open-source models on HF!
Key results:
- 47 complex research queries tested
- Every report backed by real web sources
- Quality rivals human research analysts
- No more hallucinations on current events!
Try it:
pip install optillm
Then use "deep_research-your-model-name" as the model identifier
- Implementation: https://github.com/codelion/optillm/tree/main/optillm/plugins/deep_research
- Paper: https://arxiv.org/abs/2507.16075v1
- Sample reports: https://github.com/codelion/optillm/tree/main/optillm/plugins/deep_research/sample_reports
Special thanks to the TTD-DR paper authors for this brilliant approach!
#research #llm #opensource #inference
Just shipped a game-changing feature that turns any LLM into a powerful research agent. TTD-DR applies diffusion-inspired techniques to iteratively refine research reports while grounding them in real web sources.
How it works:
• Generates initial draft
• Identifies knowledge gaps
• Searches web for missing info
• Iteratively refines through "denoising" steps
• Produces comprehensive reports with 15-30+ sources
The magic? It works with ANY model so you can choose your favorite open-source models on HF!
Key results:
- 47 complex research queries tested
- Every report backed by real web sources
- Quality rivals human research analysts
- No more hallucinations on current events!
Try it:
pip install optillm
Then use "deep_research-your-model-name" as the model identifier
- Implementation: https://github.com/codelion/optillm/tree/main/optillm/plugins/deep_research
- Paper: https://arxiv.org/abs/2507.16075v1
- Sample reports: https://github.com/codelion/optillm/tree/main/optillm/plugins/deep_research/sample_reports
Special thanks to the TTD-DR paper authors for this brilliant approach!
#research #llm #opensource #inference
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4 months ago
Train another language?
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5
#30 opened 10 months ago
by
dollarpound
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10 months ago
