Prefix all example bins w/ llama-
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@ -11,12 +11,12 @@ For llava-1.6 a variety of prepared gguf models are available as well [7b-34b](h
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After API is confirmed, more models will be supported / uploaded.
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## Usage
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Build with cmake or run `make llava-cli` to build it.
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Build with cmake or run `make llama-llava` to build it.
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After building, run: `./llava-cli` to see the usage. For example:
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After building, run: `./llama-llava` to see the usage. For example:
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```sh
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./llava-cli -m ../llava-v1.5-7b/ggml-model-f16.gguf --mmproj ../llava-v1.5-7b/mmproj-model-f16.gguf --image path/to/an/image.jpg
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./llama-llava -m ../llava-v1.5-7b/ggml-model-f16.gguf --mmproj ../llava-v1.5-7b/mmproj-model-f16.gguf --image path/to/an/image.jpg
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```
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**note**: A lower temperature like 0.1 is recommended for better quality. add `--temp 0.1` to the command to do so.
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@ -95,9 +95,9 @@ python ./examples/llava/convert-image-encoder-to-gguf.py -m vit --llava-projecto
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python ./examples/convert-legacy-llama.py ../llava-v1.6-vicuna-7b/ --skip-unknown
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```
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7) And finally we can run the llava-cli using the 1.6 model version:
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7) And finally we can run the llava cli using the 1.6 model version:
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```console
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./llava-cli -m ../llava-v1.6-vicuna-7b/ggml-model-f16.gguf --mmproj vit/mmproj-model-f16.gguf --image some-image.jpg -c 4096
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./llama-llava -m ../llava-v1.6-vicuna-7b/ggml-model-f16.gguf --mmproj vit/mmproj-model-f16.gguf --image some-image.jpg -c 4096
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```
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**note** llava-1.6 needs more context than llava-1.5, at least 3000 is needed (just run it at -c 4096)
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