Comments (2)
0.4.2 is out now and should support all llama2 models. I've tested llama-2-13b-chat.ggmlv3.q6_K.bin
with it and it works fine.
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#51 see this PR.
I was able to test with llama2 weights published here https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-GGML
This requires the current version of llama.cpp and also need to rebuild llamasharp to match a breaking change in llama.cpp
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Related Issues (20)
- v0.8.1 -- Unable to utilize CUDA in any way HOT 7
- 0.8.1 KernelMemory - strange error HOT 1
- Support for multiple backends, auto-select the most optimal HOT 7
- Support cublas computation without requiring CUDA installed HOT 14
- Debugger Stops if Calling TensorSplitsCollection HOT 5
- Error loading mixtral-8x7b-v0.1.Q6_K.gguf HOT 5
- Add support for mixtral 8x7b or more generic support for MoE models. HOT 12
- When using StatelessExecutor, llama_new_context logs to console every time InferAsync is called HOT 5
- Cannot get CUDA backend to work. CPU backend does work. HOT 4
- ChatSessionStripRoleName example not working reliably. HOT 2
- How to train on own data HOT 1
- Support for Phi-2 HOT 3
- dotnet publish issue - multiple publish output files with same relative path HOT 9
- ArgumentOutOfRangeException when loading dolphin-2.6-mixtral-8x7b
- Handle different Histories in same session / Use Custom History HOT 2
- Impossible Invalid GBNF Grammar Parsed HOT 1
- Add solar llm support HOT 12
- Cannot publish any dotnet project in release mode with LLamaSharp to linux-x64 HOT 3
- What is a good local model for generating Embeddings? HOT 10
- Crash on KernelMemory Gathering Information / References with LLamaSharp Embedder HOT 1
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