Comments (2)
Unfortunately, it's a bit difficult to auto-detect exl2 - it's the only quant format that does not ship a quantization config file, so the guesswork won't always work. I requested turboderp to have exl2 quants ship the config too, and it seems he's doing that now. Future exl2 quants shouldn't have this problem, hopefully.
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Ah okay np. Thanks for the quick reply!
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Related Issues (20)
- [Usage]: So can AMD NAVI GPUs be used with aphrodite? Which GPUs? HOT 1
- [Usage]: How to use prefix caching? HOT 3
- [Bug]: (exl2) First request with guided_json/guided_regex param creates crash loop for 10 minutes HOT 1
- [Bug]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 448.00 MiB. GPU HOT 11
- [Bug]: Using SillyTavern slow down aphrodite generation speed. HOT 2
- [Installation]: Could not build wheels for aphrodite-engine, xformers
- Support 3bit quip# model.
- [Bug]: LLMs have difficulties generating new line characters "\n", which is extremely obvious while generating code blocks in markdown
- [Feature] GGUF memory usage optimization HOT 1
- [Usage]: Set memory usuage for each gpu seperately HOT 1
- [Usage]: Only One GPU Being Used HOT 2
- [Usage]: Low Throughput HOT 2
- [Bug]: CUDA out of memory for Dracones/c4ai-command-r-plus_exl2_5.5bpw with 192GB VRAM - 4*RTX 6000 Ada HOT 1
- [Bug]: Issue when loading Mistral-Nemo-Instruct-2407-Q5_K_M HOT 4
- [Bug]: Llama 3.1 outputs gibberish when --kv-cache-dtype fp8 but AWQ model works fine HOT 4
- [Bug]: CMake build fails for rc_054: CUDA 20 dialect not supported by NVIDIA compiler for multiple targets HOT 3
- [Bug]: Problem loading EXL2 in rc_054 HOT 2
- [Usage]: start aphrodite in docker with tensor parallel HOT 1
- [Bug]: LORA not working after commit e3f2ea4 "make punica kernels work with rocm" on rc_054 branch HOT 2
- [Bug]: Cannot send more than 1 request at a time when using LORA with Llama 3.1 in rc_054 branch HOT 1
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