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69.1
TFLOPS
IkariDev
IkariDev
74
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DazzlingXeno's profile picture
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crazitor's profile picture
306 followers
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37 following
https://ikari.sillytilly.org/
IkariDevGIT
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Recent Activity
new
activity
3 days ago
pixai-labs/pixai-tagger-v1.0:
Native video tagging support
liked
a model
4 days ago
Cactus-Compute/mirage
reacted
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Undi95
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about 1 month ago
Yo, I'm back, and I'm currently trying to teach a local LLM to stop waiting for a prompt kek. I'm building a small proof of concept: can an open-weight model (Qwen3.8-27B, running locally on 2 RTX 5090 GPUs) learn to direct itself, then improve from its own exploration, without a human in the loop and without breaking it for normal use? No user, no task. The model only gets observations from its environment. Each turn, it writes its own agenda (goal/open questions/next step), then picks an action: search the web, read a page, or take a note. The environment is the judge, not another LLM. A note is accepted only if it quotes the page it read word for word. Facts are checked by exact match. Later, code will be checked by actually running tests. The best episodes become fine-tuning data (LoRA). The helper system prompt is removed at training time, so the behavior has to live in the weights. Each new model goes through a fixed benchmark gate: math, general knowledge, "does it still answer humans normally?", autonomy, and learned facts on held-out sources. It's kept only if nothing regresses, otherwise it's discarded. Then the loop starts again. The full pipeline works end to end: collect, train, merge, deploy, benchmark. The baseline is clear. Without any instructions, the base model's real autonomy is zero: it behaves like a chatbot waiting for a question. That's the number this small project is trying to move. I haven't found a public tool that runs this whole loop (self-directed exploration, verifiable rewards, continual fine-tuning and a regression gate) on home hardware. The goal isn't AGI in a bedroom. It's to show that anyone can try it, measure it honestly, and see where it breaks. Code and results will be released once the first real iterations are done. At the moment the code is... running, but made with scotch and stick, still only a PoC I want to try. Did you already tried something like that? What was your result? I'm curious!
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Cactus-Compute/mirage
Image-Text-to-Text
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14.6k
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173
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NeverSleepHistorical/balls
Updated
Jul 13, 2025
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1
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7 models
over 2 years ago
NeverSleep/Lumimaid-v0.2-123B
Text Generation
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Jul 26, 2024
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149
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NeverSleep/Lumimaid-v0.2-70B
Text Generation
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Jul 31, 2024
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107
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NeverSleep/Lumimaid-v0.2-12B
Text Generation
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12B
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Jul 26, 2024
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270
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118
NeverSleep/Lumimaid-v0.2-8B
Text Generation
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8B
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Jul 31, 2024
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253
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meta-llama/Llama-3.1-70B
Text Generation
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71B
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Sep 25, 2024
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23.2k
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NeverSleep/Llama-3-Lumimaid-8B-v0.1
Text Generation
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8B
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Updated
Jun 10, 2024
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48
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92
IkariDev/IkariTest2-GGUF
13B
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Mar 19, 2024
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65
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2
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a dataset
over 2 years ago
IkariDev/SimpleUncensorDPO-v2
Updated
Feb 25, 2024
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31
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8
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10 models
almost 3 years ago
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69B
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86
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12
NeverSleep/MiquMaid-v1-70B
Text Generation
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Jan 31, 2024
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56
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kalomaze/KalomazeRVC
Updated
Jul 7, 2023
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2
NeverSleep/Noromaid-13b-v0.3
Text Generation
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13B
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Jan 7, 2024
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230
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NeverSleep/Noromaid-13b-v0.3-GGUF
13B
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Jan 7, 2024
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204
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47B
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Dec 25, 2023
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465
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NeverSleep/Noromaid-v0.1-mixtral-8x7b-v3
Text Generation
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Dec 25, 2023
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75
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13B
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Dec 21, 2023
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185
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10
NeverSleep/FlatOrcamaid-13b-v0.2
Text Generation
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13B
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Updated
Dec 21, 2023
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14
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5
NeverSleep/Noromaid-13b-v0.2-GGUF
13B
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Updated
Dec 16, 2023
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101
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10
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