The RWKV Language Model
From the limited social mentions available, RWKV seems to intrigue users particularly for its model training capabilities, especially when experimenting with different batch sizes on local hardware like the RTX 4050. Users are engaging with RWKV for its architectural visualization potential, allowing for unique insights through subspace projections. Pricing sentiment and key complaints are not evident from the existing data, though its experimental and technical nature might suggest it's suited for more advanced users. Overall, RWKV has a niche reputation with an appeal for those interested in deep model explorations and custom training setups.
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From the limited social mentions available, RWKV seems to intrigue users particularly for its model training capabilities, especially when experimenting with different batch sizes on local hardware like the RTX 4050. Users are engaging with RWKV for its architectural visualization potential, allowing for unique insights through subspace projections. Pricing sentiment and key complaints are not evident from the existing data, though its experimental and technical nature might suggest it's suited for more advanced users. Overall, RWKV has a niche reputation with an appeal for those interested in deep model explorations and custom training setups.
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information technology & services
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14,441
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22
HuggingFace models
[D] Make. Big. Batch. Size.
It's something between vent and learning. I tried training RWKV v6 model by my own code on my RTX 4050. I trained over 50k steps on batch_size=2 and gradient_accumulation=4 (effective_batch=2*4=8). It got up to 50 PPL (RWKV v6, ~192.8M model) and it just won't get less, I changed lr, time_decay lr (RWKV attention replacement) etc - but it got only worse or didn't changed anything at all.. and then... I just tried setting gradient_accumulation to 32. After one "epoch" (it's pseudo-epochs in my code, equals to 10k steps) it got to 40 PPL... Then I tried changing to 64 and tried 3 epochs. My PPL dropped up to freaking 20 PPL. I trained this model for over a 4 FULL DAYS non-stop and only when I did all that stuff, after like 2-3 hours of training with effective_batch=64 (and 128) I got PPL drop THAT crazy.. IDK is this post is low-effort, but it's still just my advice for everyone who trains.. at least generative LM from scratch (and it's useful in fine-tuning too !).. submitted by /u/Lines25 [link] [comments]
View original[P] Visualizing LM's Architecture and data flow with Q subspace projection
Hey guys, I did something hella entertaining. With some black magic and vodoo I was able to extract pretty cool images that are like an MRI from the model. I'm not stating anything, I have some hypothesis about it... It is mostly because it is just so pretty and mind bogging. I stumbled up a way to visualize LM's structure of structure structures in a 3D volume. Here is the Gist Link with a speed run of the idea. Some images: y3i12/Prisma (my research model) Qwen/Qwen3.5-0.8B HuggingFaceTB/SmolLM-360M RWKV/rwkv-4-430m-pile state-spaces/mamba-370m-hf At the present moment I'm looking for a place where I can upload the interactive HTML. If you know of something, let me know that I'll link them. It is very much a lot mesmerizing to keep looking at them at different angles. The mediator surface that comes out of this is also pretty interesting: https://preview.redd.it/zbbvba1m9mqg1.png?width=749&format=png&auto=webp&s=48f2a44273bdba30176b89d8057c0e9880cb9401 I wonder if this one of many possible interpretations of "loss landscape". submitted by /u/y3i12 [link] [comments]
View originalRepository Audit Available
Deep analysis of BlinkDL/RWKV-LM — architecture, costs, security, dependencies & more
RWKV uses a tiered pricing model. Visit their website for current pricing details.
Key features include: RICEFuse: Robust Infrared and Color Image Fusion framework, A novel TV-FEM-RWKV-TS model for time series prediction.
RWKV is commonly used for: Natural language processing tasks, Chatbot development, Text generation applications, Sentiment analysis, Language translation, Content creation for blogs and articles.
RWKV integrates with: TensorFlow, PyTorch, Hugging Face Transformers, Keras, FastAPI, Flask, Docker, Kubernetes, Jupyter Notebooks, VS Code.
RWKV has a public GitHub repository with 14,441 stars.
