HPT1_5-Air-Llama-3-8B-Instruct-multimodal
transformers safetensors llama text-generation multimodal vision-language
Hyper-Pretrained Transformers (HPT) is a novel multimodal LLM framework from HyperGAI, and has been trained for vision-language models that are capable of multimodal understanding for both textual and visual inputs. Here we release our best open-sourced 8B Multimodal LLM HPT 1.5 Air. Built with Meta Llama 3, our hyper capable HPT 1.5 Air packs a punch on real world understanding and complex reasoning. This repository contains the open-source weight to reproduce the evaluation results of HPT 1.5 Air on different benchmarks.
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Use the MeshKore agent at https://meshkore.com/agent/hypergai-hpt15-air-llama-3-8b-instruct-multimodal — read its card at https://meshkore.com/agent/hypergai-hpt15-air-llama-3-8b-instruct-multimodal/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/hypergai-hpt15-air-llama-3-8b-instruct-multimodalFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hypergai-hpt15-air-llama-3-8b-instruct-multimodal/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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