3 ms·
Would also be interesting to compare with R1-0528-Qwen3-8B (chain-of-thought distilled from Deepseek-R1-0528 and post-trained into Qwen3-8B). It scores 86 and 7
by semi-extrinsic 1y ago
Would also be interesting to compare with R1-0528-Qwen3-8B (chain-of-thought distilled from Deepseek-R1-0528 and post-trained into Qwen3-8B). It scores 86 and 76 on AIME 2024 and 2025 respectively.
Currently running the 6-bit XL quant on a single old RTX 2080 Ti and I'm quite impressed TBH. Simply wild for a sub-8GB download.
- danielhanchen 1y agoI'm surprised it does very well as well - that's pretty cool to see!
- saratogacx 1y agoI have the same card on my machine at home, what is your config to run the model?
- semi-extrinsic 1y agoDownloaded the gguf file by unsloth, ran llama-cli from llama.cpp with that file as an argument. IIUC, nowadays there is a jinja templated metadata-struct inside the gguf file itself. This contains the chat template and other config.