I'm trying to post-train AliceAI-Foundation-80B-A3B-Base myself
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| Just wanted to share with someone - don't have much to report yet. I am interested in this new AliceAI model and have been wanting to make a community impact for a while - and releasing an initial agentic version of this model sounds cool. I am training on 3 32gb v100s (which has been fun to get to work, to say the least). What I'm really doing is creating a shallow distill of Qwen 3.8 27b and then using reinforcement learning - My initial plan is a SFT with Qwen3.8 27b synthetic data I'm generating targeting long horizon agentic work - then, RL / GRPO with a grader model for a while. I'm considering using a stronger model to generate the training data, but I'm trying to keep this on my local machine only. It's coming along - I can just barely fit the weights and activations on the v100s in qlora. I've built the framework for the SFT data generation for. I don't expect anything amazing but it should be a neat experiment. Also considering using a pre-existing data set for the tune, but I'm more interested in creating my own distillation. Update: it's training! [link] [comments] |
More from r/LocalLLaMA
-
NVIDIA shipped OpenShell, an open source sandbox that gives local and open agents real runtime limits instead of prompt rules. Over 100 firms joined the safety stack. OpenAI did not.
Sep 28
-
3090 for $1500???
Sep 28
-
modified qwen 3.8 27b modifies windows credential dumper to bypass EDR detection
Sep 28
-
Minisforum MS-S1 MAX-P495 @ €7.799,00
Sep 28
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.