quantizations
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@@ -13,6 +13,56 @@ support depends on the exact AMD GPU/APU, kernel, driver, and ROCm runtime.
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| Smoke tests, small splits | `Qwen/Qwen2.5-0.5B-Instruct` | same | 24 layers, ~1 GB BF16, no gating — default for new setups |
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| Alpha / production target | `qwen3.6-35b-a3b` | `unsloth/Qwen3.6-35B-A3B` | 40 layers, ~72 GB BF16, hybrid linear-attention MoE; aliases include `Qwen3.6-35B-A3B`, `Qwen/Qwen3.6-35B-A3B` |
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| Recommended dense model | `qwen3.6-27b` | `Qwen/Qwen3.6-27B` | 64 layers, ~56 GB BF16, text-only; canonical revision is pinned by the tracker |
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---
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## Models
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The tracker advertises recommended models through `GET /v1/models`; the chat
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dashboard shows the same catalog. `Qwen/Qwen3.6-27B` is recommended even before
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it has complete coverage, so users and operators can see that the network intends
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to serve it.
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```bash
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curl -s http://localhost:8080/v1/models | python -m json.tool
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```
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Each model reports its shard coverage and its selectable quantizations. A
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quantization is selectable only when the tracker can build a complete route from
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shards at that precision or higher:
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- `bfloat16` requires BF16 for every shard.
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- `int8` may combine INT8 and BF16 shards.
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- `nf4` may combine NF4, INT8, and BF16 shards.
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The chat UI chooses the highest complete precision by default. Uncovered variants
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remain visible as coverage requests: use the small **Vote for coverage** control
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to register demand without sending an unusable chat request.
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Clients can request a minimum precision explicitly. Omit `quantization` to
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request BF16:
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```bash
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curl http://localhost:8080/v1/chat/completions \
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-H 'Content-Type: application/json' \
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-d '{
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"model": "qwen3.6-27b",
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"quantization": "int8",
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"messages": [{"role": "user", "content": "Explain sharded inference."}]
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}'
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```
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The first valid request for a recommended model is demand proof. When the shared
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tracker pool has enough spare eligible capacity, it queues a tracker-managed
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initial deployment. Until a complete route exists, the request returns retryable
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`503 model_loading` rather than silently lowering precision.
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Nodes may serve BF16, INT8, or NF4 according to their declared capability. The
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official BF16 snapshot remains the canonical Qwen source; tracker/peer sources
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are preferred and Hugging Face is the fallback. A node's startup-selected
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`(model, shard range, quantization)` is pinned, while spare capacity can be used
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for tracker-managed work.
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---
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