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feat(alias): alias llama to llama-cpp, update docs (#1448)
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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3 changed files with 15 additions and 4 deletions
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@ -50,6 +50,8 @@ Besides llama based models, LocalAI is compatible also with other architectures.
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| `diffusers` | SD,... | no | Image generation | no | no | N/A |
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| `vall-e-x` | Vall-E | no | Audio generation and Voice cloning | no | no | CPU/CUDA |
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| `vllm` | Various GPTs and quantization formats | yes | GPT | no | no | CPU/CUDA |
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| `exllama2` | GPTQ | yes | GPT only | no | no | N/A |
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| `transformers-musicgen` | | no | Audio generation | no | no | N/A |
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Note: any backend name listed above can be used in the `backend` field of the model configuration file (See [the advanced section]({{%relref "advanced" %}})).
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@ -9,7 +9,7 @@ weight = 1
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{{% notice note %}}
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The `ggml` file format has been deprecated. If you are using `ggml` models and you are configuring your model with a YAML file, specify, use the `llama-stable` backend instead. If you are relying in automatic detection of the model, you should be fine. For `gguf` models, use the `llama` backend.
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The `ggml` file format has been deprecated. If you are using `ggml` models and you are configuring your model with a YAML file, specify, use the `llama-ggml` backend instead. If you are relying in automatic detection of the model, you should be fine. For `gguf` models, use the `llama` backend. The go backend is deprecated as well but still available as `go-llama`. The go backend supports still features not available in the mainline: speculative sampling and embeddings.
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{{% /notice %}}
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@ -65,11 +65,11 @@ parameters:
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In the example above we specify `llama` as the backend to restrict loading `gguf` models only.
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For instance, to use the `llama-stable` backend for `ggml` models:
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For instance, to use the `llama-ggml` backend for `ggml` models:
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```yaml
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name: llama
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backend: llama-stable
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backend: llama-ggml
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parameters:
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# Relative to the models path
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model: file.ggml.bin
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