10 actions in 9 pieces of software · ranked by words, meaning and measured trust · 677 ms
modelrecord16,736 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord119,123 downloads/month
- image-text-to-text
Task: image-text-to-text
- image-text-to-text
modelrecord
- zsxkib/qwen2-1.5b-instruct
Qwen 2: A 1.5 billion parameter language model from Alibaba Cloud, fine tuned for chat completions
- zsxkib/qwen2-1.5b-instruct
modelrecord
- ibm-granite/granite-3.0-2b-instruct
Granite-3.0-2B-Instruct is a lightweight and open-source 2B parameter model designed to excel in instruction following tasks such as summarization, problem-solving, text translation, reasoning, code tasks, function-calling, and more.
- ibm-granite/granite-3.0-2b-instruct
modelrecord
- mistralai
Task: MistralAI
- mixtral-8x22b-instruct-v0.1
Task: Mixtral-8x22B-Instruct-v0.1
- mistralai
modelrecord
- ibm-granite/granite-3.1-2b-instruct
Granite-3.1-2B-Instruct is a lightweight and open-source 2B parameter model designed to excel in instruction following tasks such as summarization, problem-solving, text translation, reasoning, code tasks, function-calling, and more.
- ibm-granite/granite-3.1-2b-instruct
modelrecord
- joehoover/falcon-40b-instruct
A 40 billion parameter language model trained to follow human instructions.
- joehoover/falcon-40b-instruct
modelrecord
- ibm-granite/granite-3.2-8b-instruct
Granite-3.2-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for reasoning and instruction-following capabilities.
- ibm-granite/granite-3.2-8b-instruct
modelrecord
- qwen/qwen3-235b-a22b-instruct-2507
Updated Qwen3 model for instruction following
- qwen/qwen3-235b-a22b-instruct-2507
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.