Free Models

While paid models often provide superior performance and capabilities, there are also several free models available that can be used with ServerAssistantAI. Many of these models are open-source and can be a good starting point for servers.

Embedding Models

Embedding models are used to convert text data into numerical representations called embeddings. These embeddings capture the semantic meaning and relationships between different pieces of text. When the documents/ directory is updated, the content is sent to the embedding API. The resulting embeddings are saved to the cache/ directory, allowing the AI to find relevant context efficiently without reprocessing or making new API requests for each query.

Provider
Model Name
MTEB
Embedding Dimensions

66.31

768

64.47

1024

64.01

1024

Large Language Models

Large Language Models (LLMs) are powerful AI models that can understand and generate human-like text based on the input they receive. In ServerAssistantAI, when a user asks a question, the system retrieves relevant cached context from the embedding API results. This context, along with the user's question, is sent to the LLM to generate accurate and context-aware responses.

Provider
Model Name
ELO
Speed (tokens per second)
Service uses responses to improve model?

1301

57.2 TPS

Yes

1249

300+! TPS

No

1249

250+! TPS

No

1227

133.3 TPS

Yes

1215

47.7 TPS

No

1206

300+! TPS

No

1190

43.16 TPS

No

1179

94.52 TPS

No

meta-llama/Meta-Llama-3-8B-Instruct

1172

N/A

No

01-ai/Yi-1.5-34B-Chat

1157

N/A

No

mistralai/Mixtral-8x7B-Instruct-v0.1

1148

N/A

No

google/gemma-1.1-7b-it

1086

N/A

No

mistralai/Mistral-7B-Instruct-v0.3

1074

N/A

No

Open-source free LLMs have a higher chance of hallucinating compared to paid models.

Model results were updated on 11/26/2024 using the following sources: | Source 1 | Source 2 | Source 3 | Source 4 |