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[Doc] Convert docs to use colon fences (#12471)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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Harry Mellor
2025-01-29 03:38:29 +00:00
committed by GitHub
parent a7e3eba66f
commit dd6a3a02cb
68 changed files with 2352 additions and 2341 deletions
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12
docs/source/features/quantization/gguf.md
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@@ -2,13 +2,13 @@
# GGUF
```{warning}
:::{warning}
Please note that GGUF support in vLLM is highly experimental and under-optimized at the moment, it might be incompatible with other features. Currently, you can use GGUF as a way to reduce memory footprint. If you encounter any issues, please report them to the vLLM team.
```
:::
```{warning}
:::{warning}
Currently, vllm only supports loading single-file GGUF models. If you have a multi-files GGUF model, you can use [gguf-split](https://github.com/ggerganov/llama.cpp/pull/6135) tool to merge them to a single-file model.
```
:::
To run a GGUF model with vLLM, you can download and use the local GGUF model from [TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF](https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF) with the following command:
@@ -25,9 +25,9 @@ You can also add `--tensor-parallel-size 2` to enable tensor parallelism inferen
vllm serve ./tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf --tokenizer TinyLlama/TinyLlama-1.1B-Chat-v1.0 --tensor-parallel-size 2
```
```{warning}
:::{warning}
We recommend using the tokenizer from base model instead of GGUF model. Because the tokenizer conversion from GGUF is time-consuming and unstable, especially for some models with large vocab size.
```
:::
You can also use the GGUF model directly through the LLM entrypoint: