10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 678 ms
modelrecord174 downloads/month
- robotics
Task: robotics
- robotics
modelrecord13,830 downloads/month
- any-to-any
Task: any-to-any
- any-to-any
modelrecord66,671 downloads/month
- image-text-to-text
Task: image-text-to-text
- image-text-to-text
modelrecord
- lucataco/qwen2-vl-7b-instruct
Latest model in the Qwen family for chatting with video and image models
- lucataco/qwen2-vl-7b-instruct
modelrecord1,665,246 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord
- aodianyun/qwen2-vl-7b
APIbentoml/openllm-modelsrecord68 stars
- qwen2.5__generate
skillorchestra-research/ai-research-skillsrecord
- fine-tuning-openvla-oft
Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or di
- fine-tuning-openvla-oft
modelrecord
- structured-outputs
Can return JSON matching a schema.
- structured-outputs
- 10Qwen2.5-VL 32B GGUF Chatdemo or tutorialno passport yet
MCP serverrecord
- qwen2_5_vl_32b_gguf_clear_chat
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.