Install model "Error: yaml: line 141: mapping values are not allowed in this context"

[alexisross]

Hello,

I'm on Windows environnement 10. I've just git cloned the project LocalAI and create a docker regarding this guideline https://localai.io/howtos/easy-setup-docker-cpu/ and without Model Gallery. Here is the .env file:

## Set number of threads.
## Note: prefer the number of physical cores. Overbooking the CPU degrades performance notably.
THREADS=2

## Specify a different bind address (defaults to ":8080")
# ADDRESS=127.0.0.1:8080

## Default models context size
# CONTEXT_SIZE=512
#
## Define galleries.
## models will to install will be visible in `/models/available`
# GALLERIES=[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}]

# PRELOAD_MODELS=[{"url": "github.com/go-skynet/model-gallery/blob/main/llama2-chat.yaml"},{"url": "https://github.com/go-skynet/model-gallery/blob/main/gpt4all-l13b-snoozy.yaml"}]

## CORS settings
# CORS=true
# CORS_ALLOW_ORIGINS=*

## Default path for models
#
MODELS_PATH=/models

## Enable debug mode
DEBUG=true

## Specify a build type. Available: cublas, openblas, clblas.
## cuBLAS: This is a GPU-accelerated version of the complete standard BLAS (Basic Linear Algebra Subprograms) library. It's provided by Nvidia and is part of their CUDA toolkit.
## OpenBLAS: This is an open-source implementation of the BLAS library that aims to provide highly optimized code for various platforms. It includes support for multi-threading and can be compiled to use hardware-specific features for additional performance. OpenBLAS can run on many kinds of hardware, including CPUs from Intel, AMD, and ARM.
## clBLAS:   This is an open-source implementation of the BLAS library that uses OpenCL, a framework for writing programs that execute across heterogeneous platforms consisting of CPUs, GPUs, and other processors. clBLAS is designed to take advantage of the parallel computing power of GPUs but can also run on any hardware that supports OpenCL. This includes hardware from different vendors like Nvidia, AMD, and Intel.
# BUILD_TYPE=openblas

## Uncomment and set to true to enable rebuilding from source
# REBUILD=true

## Enable go tags, available: stablediffusion, tts
## stablediffusion: image generation with stablediffusion
## tts: enables text-to-speech with go-piper 
## (requires REBUILD=true)
#
# GO_TAGS=stablediffusion

## Path where to store generated images
# IMAGE_PATH=/tmp

## Specify a default upload limit in MB (whisper)
# UPLOAD_LIMIT

The docker up and start correctly. But when I try to install a model like this (bash command via Git Bash) :

$ curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '{
     "url": "https://github.com/go-skynet/model-gallery/blob/main/gpt4all-j-groovy.yaml"
   }'
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   224  100   129  100    95  35111  25857 --:--:-- --:--:-- --:--:--  109k{"uuid":"d6239aaa-45d7-11ee-bc9f-0242ac120002","status":"http://localhost:8080/models/jobs/d6239aaa-45d7-11ee-bc9f-0242ac120002"}

... it fails like this :

$ curl "http://localhost:8080/models/jobs/d6239aaa-45d7-11ee-bc9f-0242ac120002"
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   160  100   160    0     0   5166      0 --:--:-- --:--:-- --:--:--  5333{"error":{},"processed":true,"message":"error: yaml: line 141: mapping values are not allowed in this context","progress":0,"file_size":"","downloaded_size":""}

I don't understand to which yaml file the "line 141" refers to.

It same problems with those models (picked up from https://github.com/go-skynet/model-gallery/tree/main):
https://github.com/go-skynet/model-gallery/blob/main/gpt4all-l13b-snoozy.yaml
https://github.com/go-skynet/model-gallery/blob/main/llama2-chat.yaml

The problems was the same when I activated the PRELOAD_MODELS option (by uncommenting the proper line in .env above).

Did I miss something ?

Thanks