---
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
library_name: transformers
tags:
- orchestration
- routing
- qwen
- logits-head
pretty_name: mempool Qwen Logits Orchestrator Latest Qwen 0.6B Target
---

# mempool Qwen Logits Orchestrator

The latest intended coordinator backbone for this repository is
`Qwen/Qwen3-0.6B`, the current official Qwen 0.6B text-generation model.

The repository stores routing-head artifacts for the `mempool` Qwen-small
logits-head orchestrator path with a deterministic held-out gate. The checkpoint
stores only trained routing heads, not Qwen base model weights. A refreshed
checkpoint should be trained and uploaded before using these heads with the
latest Qwen 0.6B backbone.

- Checkpoint: `qwen_logits_heads.pt`
- Training rows: `53`
- Final training loss: `2.1550024236951555`

Worker labels:

- `ollama-cloud-deepseek-v4-pro`
- `ollama-cloud-glm-5.2`
- `ollama-cloud-kimi-k2.7-code`
- `ollama-cloud-qwen3-coder-480b`

Train-row evaluation:

- Worker accuracy: `0.7358490566037735`
- Workflow accuracy: `0.9433962264150944`
- Mean worker loss: `1.124755915605797`
- Mean workflow loss: `0.142171498247475`

Held-out evaluation:

- Worker accuracy: `0.5384615384615384`
- Workflow accuracy: `0.7692307692307693`
- Mean worker loss: `1.3366980185875525`
- Mean workflow loss: `0.672384113073349`

A sample router prediction is included at `sample_prediction.json`.

This is a v0 research artifact. It is usable for routing experiments,
but it is not yet a promoted production policy.