Comments (2)
You need to use an instruct or chat tuned model. If you use a base model the output will be text completion/continuation.
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thanks
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Related Issues (20)
- llama build b2970 - Phi-3-medium-128k-instruct - error HOT 4
- tokenization: double EOS tokens HOT 2
- Problem with converting Mistral-7B-v0.3 and Mistral-7B-Instruct-v0.3 to GGUF HOT 5
- Completion of error handling
- Error during compilation(make/cmake)
- CUDA graphs break quantized K cache HOT 5
- Click wrong
- 我在Android上跑,cpu,非常的慢,跑一张图片需要花费5分钟,请问这个怎么优化? HOT 2
- Trying to understand token sampling better HOT 2
- WizardLM-2-7B get's cut off while writing. HOT 1
- convert-hf-to-gguf.py Qwen1.5-4B-Chat-GPTQ-Int4 error HOT 2
- Support Official llama.cpp docker/images. HOT 5
- CI Docker Build Issue (intel public key needs updating?) HOT 6
- /usr/bin/ld: cannot find -lcuda: No such file or directory collect2: error: ld returned 1 exit status make: *** [Makefile:763: main] Error 1 HOT 1
- pip install -r requirements.txt ModuleNotFoundError: No module named 'distutils' HOT 3
- Incremental learning HOT 3
- Response output length? - translator - aya-23-35B HOT 4
- Llama 3 70B Instruct fine tune GGUF - corrupt output? HOT 2
- [docs] `make`: set the number of jobs to boost compilation speeds for less experienced users
- Phi 3 medium 128k bad generations HOT 4
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