Comments (2)
llama.cpp does not support phi-3-128k currently #6849
The work on adding it is happening here #7225
Please try searching a little before opening an issue. Feel free to close it as well as it's already being tracked.
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The convert-lora-to-ggml
script has been deprecated and already been removed: #7204
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Related Issues (20)
- Bug: Finetune must be cashful collapse bug HOT 3
- Bug: The slots saving feature of example/server is not working. HOT 6
- Question: Inconsistent Classification Results Between Command-Line and HTTP Server for LLaMA 3 HOT 1
- Bug: crash in tokenizer while using embedding endpoint HOT 2
- Bug: Some "code" models invoke undefined behavior at load time after #6745 HOT 1
- Bug: [Server] Prompt caching causes subsequent identical requests to return different token probabilities
- Problem/Question: Unable to add model with custom architecture (How to) HOT 1
- Bug: quantize command randomly hangs on CPUs with lots of cores HOT 7
- Bug: Phi-3 Medium potential tokenization issues with $ HOT 3
- Bug: gguf.py install HOT 3
- Question: Why do GPU and CPU embedding outputs differ for the same input? Is normal?
- Bug: Default CTX on llama3 causes incoherence in server when 512 tokens passed in output HOT 3
- Question: When using finetune LoRA to fine-tune the LLaMA3-7B-4bit GGUF model, why does the training prematurely end and save the LoRA model?
- Bug: Inconsistent ggml-4-x86-cuda-v100 ci failures on master HOT 2
- Question: why llama.cpp mobilevlm model(fp16) inference result is different with official pytorch project results, this is normal? HOT 6
- Feature Request: Improve Ergonomics of `llama-server` HOT 2
- Feature: support Vulkan devices that don't support 16-bit storage HOT 1
- Feature Request: codestral support HOT 3
- Question: How to convert Yi-34B-Chat-4bits to gguf? HOT 1
- Bug: SPM tokenization breaks in at least one specific case. HOT 6
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