See the Multimodal Tutorial

Changes
- Add multimodal support to the UI and API
- With the llama.cpp loader (#7027). This was possible thanks to PR ggml-org/llama.cpp#15108 to llama.cpp. Thanks @65a.
- With ExLlamaV3 through a new ExLlamaV3 loader (#7174). Thanks @Katehuuh.
- Add speculative decoding to the new ExLlamaV3 loader.
- Use ExLlamav3 instead of ExLlamav3_HF by default for EXL3 models, since it supports multimodal and speculative decoding.
- Support loading chat templates from
chat_template.json
files (EXL3/EXL2/Transformers models) - Default max_tokens to 512 in the API instead of 16
- Better organize the right sidebar in the UI
- llama.cpp: Pass
--swa-full
to llama-server whenstreaming-llm
is checked to make it work for models with SWA.
Bug fixes
- Fix getting the ctx-size for newer EXL3/EXL2/Transformers models
- Fix the exllamav2 loader ignoring add_bos_token
- Fix the color of italic text in chat messages
- Fix edit window and buttons in Messenger theme (#7100). Thanks @mykeehu.
Backend updates
- Bump llama.cpp to ggml-org/llama.cpp@f4586ee
Portable builds
Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip, and run.
Which version to download:
-
Windows/Linux:
- NVIDIA GPU: Use
cuda12.4
for newer GPUs orcuda11.7
for older GPUs and systems with older drivers. - AMD/Intel GPU: Use
vulkan
builds. - CPU only: Use
cpu
builds.
- NVIDIA GPU: Use
-
Mac:
- Apple Silicon: Use
macos-arm64
. - Intel CPU: Use
macos-x86_64
.
- Apple Silicon: Use
Updating a portable install:
- Download and unzip the latest version.
- Replace the
user_data
folder with the one in your existing install. All your settings and models will be moved.