Comments (2)
from llama.cpp.
that's it! thanks so much!
from llama.cpp.
Related Issues (20)
- Win64x build with zig errors
- server: Use `llama_chat_apply_template` on `/completion` endpoint
- Add support to moe-llava
- llama.cpp + autoawq + gemma model get wrong answer HOT 3
- Inconsistent size output of chunks with gguf-split HOT 2
- Low GPU usage of quantized Mixtral 8x22B for prompt processing on Metal HOT 1
- Some warnings like "...reallocate multi buffer graph..." when compiled by Qt HOT 1
- Unexpected Space After Two Line Breaks in Command R Plus Output HOT 1
- Mixtral 8x7b models using more memory while loading HOT 4
- Different result between use llama.cpp and python original fine tuned model
- Trying to split model with --split-max-size, but gguf-split ignores it HOT 2
- `quantize`: add imatrix and dataset metadata in GGUF HOT 3
- Probably best not to clobber files with `gguf-split -merge` HOT 4
- support op clamp in backend metal HOT 3
- Shouldn't it automatically explore a model architecture and figure out what layers it has???????
- error converting BLOOM safetensors -> gguf (model_* vs, model-*)
- command-r-plus-104b-q5_k_s really too large for 3x24 GB ? HOT 4
- hipBLAS causing issues with Mixtral 8x7b models HOT 4
- Docker push error in GitHub Action due to uppercase(s) in repository owner
- Server CUDA Infill Segmentation Fault HOT 2
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from llama.cpp.