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chore: remove unused configs

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arkohut 2024-11-18 13:12:45 +08:00
parent 8730be2a95
commit 820009ac06
3 changed files with 0 additions and 5 deletions
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2
README.md
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@ -86,7 +86,6 @@ Open the `~/.memos/config.yaml` file with your preferred text editor and modify
```yaml ```yaml
embedding: embedding:
enabled: true
use_local: true use_local: true
model: jinaai/jina-embeddings-v2-base-en # Model name used model: jinaai/jina-embeddings-v2-base-en # Model name used
num_dim: 768 # Model dimensions num_dim: 768 # Model dimensions
@ -153,7 +152,6 @@ Open the `~/.memos/config.yaml` file with your preferred text editor and modify
```yaml ```yaml
vlm: vlm:
enabled: true # Enable VLM feature
endpoint: http://localhost:11434 # Ollama service address endpoint: http://localhost:11434 # Ollama service address
modelname: minicpm-v # Model name to use modelname: minicpm-v # Model name to use
force_jpeg: true # Convert images to JPEG format to ensure compatibility force_jpeg: true # Convert images to JPEG format to ensure compatibility

2
README_ZH.md
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@ -86,7 +86,6 @@ Pensieve 通过 embedding 模型来提取语义信息，并构建向量索引。
```yaml ```yaml
embedding: embedding:
enabled: true
use_local: true use_local: true
model: arkohut/jina-embeddings-v2-base-zh # 使用的模型名称 model: arkohut/jina-embeddings-v2-base-zh # 使用的模型名称
num_dim: 768 # 模型的维度 num_dim: 768 # 模型的维度
@ -156,7 +155,6 @@ ollama run minicpm-v "描述一下这是什么服务"
```yaml ```yaml
vlm: vlm:
enabled: true # 启用 VLM 功能
endpoint: http://localhost:11434 # Ollama 服务地址 endpoint: http://localhost:11434 # Ollama 服务地址
modelname: minicpm-v # 使用的模型名称 modelname: minicpm-v # 使用的模型名称
force_jpeg: true # 将图片转换为 JPEG 格式以确保兼容性 force_jpeg: true # 将图片转换为 JPEG 格式以确保兼容性

1
memos/default_config.yaml
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@ -43,7 +43,6 @@ embedding:
# using ollama embedding # using ollama embedding
# embedding: # embedding:
# enabled: true
# endpoint: http://localhost:11434/api/embed # this is not used # endpoint: http://localhost:11434/api/embed # this is not used
# model: arkohut/gte-qwen2-1.5b-instruct:q8_0 # model: arkohut/gte-qwen2-1.5b-instruct:q8_0
# num_dim: 1536 # num_dim: 1536