prism-ml/Ternary-Bonsai-27B-gguf
Text Generation • 27B • Updated • 634k • • 1.4k
🤝 Open to Collab
Vinoth P
vinoth322006
AI & ML interests
Large Language Models (LLMs), Agentic AI, Multi-Agent Systems, Tool Calling, Retrieval-Augmented Generation (RAG), Model Compression (Pruning, Quantization, Distillation), Fine-Tuning (LoRA/QLoRA), Reinforcement Learning, NLP, Computer Vision, Graph Neural Networks, Robotics, Edge AI, MLOps, AI Infrastructure, AI Systems Research.
Recent Activity
reacted to KlondikeDev's post with ❤️ 29 days ago
A Preview of Boris-2!
Hello! Tomorrow, OpenCerebral will be releasing Boris-1.7-D60M-n30M — an experimental architecture. It will be testing a new data mixture, a new tokenizer, and testing Qwen4-like n-gram embeddings.
Following this will be Boris-1.8-D60M-n30M, which will test both the n-gram embeddings AND a new architecture.
Then, Boris-2 will begin training!
Edit: the model is OUT NOW! https://huggingface.co/opencerebral/Boris-1.7-D60M-n30M reacted to Banaxi-Tech's post with ❤️ 29 days ago
We're delaying BananaMind 2.1!
When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini.
We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models!
We're also announcing these new models:
BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train.
BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data.
We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have.
Please give us a follow!
https://huggingface.co/BananaMind
@Banaxi-Tech
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@vovaRL
@DedeProGames
reacted to KlondikeDev's post with 🔥 29 days ago
A Preview of Boris-2!
Hello! Tomorrow, OpenCerebral will be releasing Boris-1.7-D60M-n30M — an experimental architecture. It will be testing a new data mixture, a new tokenizer, and testing Qwen4-like n-gram embeddings.
Following this will be Boris-1.8-D60M-n30M, which will test both the n-gram embeddings AND a new architecture.
Then, Boris-2 will begin training!
Edit: the model is OUT NOW! https://huggingface.co/opencerebral/Boris-1.7-D60M-n30MOrganizations
