# Qwen3.6-35B-A3B Q4_K_M Ryzen AI Max+ 395-ի վրա (llama.cpp Vulkan) — answerless (empty) responses at a 4k budget: 1.0 հարցումների %

Beelink GTR9 Pro — AMD Ryzen AI Max+ 395, Radeon 8060S (gfx1151), 128 GB LPDDR5X-8000 unified համակարգի վրա, llama.cpp (server, Vulkan backend), b9049 (server_fingerprint b9049-2496f9c14) runtime-ով և ggml-org/Qwen3.6-35B-A3B-GGUF @ baec3ebee244 (Q4_K_M) մոդելով չափված «answerless (empty) responses at a 4k budget» մեծությունը կազմել է 1.0 հարցումների % (share of all issued requests)։ Չափումը կատարվել է interactive-assistant-v2@2026-08-02 սառեցված workload-ի տակ; ապացույցի մակարդակը՝ lab_unit_replicated, 6 վավեր գործարկում 2 ֆիզիկական յունիթի վրա։ Արժեքը վերաստացվում է գործարկումների հում գրառումներից ամեն CI build-ում։

## Statement

> At a 4096-token budget with reasoning enabled, this share of everyday-task requests returned HTTP 200 with an empty answer: the reasoning pass consumed the entire budget.

## Evidence

| Field | Value |
| --- | --- |
| Claim id | `strix.qwen36.interactive2.c1.answerless-4k` |
| Value | 1.0 % of requests |
| Metric | answerless (empty) responses at a 4k budget |
| Aggregation | share of all issued requests |
| System | Beelink GTR9 Pro — AMD Ryzen AI Max+ 395, Radeon 8060S (gfx1151), 128 GB LPDDR5X-8000 unified |
| Runtime | llama.cpp (server, Vulkan backend), b9049 (server_fingerprint b9049-2496f9c14) |
| Model artifact | ggml-org/Qwen3.6-35B-A3B-GGUF @ baec3ebee244 (Q4_K_M) |
| Workload scope | interactive-assistant-v2@2026-08-02 |
| Evidence level | lab_unit_replicated |
| Status | active |
| Runs | 6 across 2 unit(s) |
| Published | 2026-09-02 |
| Last changed | 2026-09-02 |

**Limitations.** Three repeated runs of 16 requests on each of two commercially identical units (96 requests in total) — diagnostic depth, not a cross-unit qualification. Specific to a 4096-token budget and this corpus. Failed requests are counted in the denominator, as required. The share rests on a single answerless request across the six runs — a count, not a stable rate: it shows the failure mode survives the larger budget, not how often it strikes. Read together with the reasoning-share claim on the same runs, which excludes exactly these answerless requests from its median.

## Raw evidence

- Sealed run bundle `run-20260802-v2-budget4k-a`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260802-v2-budget4k-a
- Sealed run bundle `run-20260802-v2-budget4k-a-r2`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260802-v2-budget4k-a-r2
- Sealed run bundle `run-20260802-v2-budget4k-a-r3`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260802-v2-budget4k-a-r3
- Sealed run bundle `run-20260803-v2-budget4k-b`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260803-v2-budget4k-b
- Sealed run bundle `run-20260803-v2-budget4k-b-r2`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260803-v2-budget4k-b-r2
- Sealed run bundle `run-20260803-v2-budget4k-b-r3`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260803-v2-budget4k-b-r3
- Derivation query: https://github.com/botAGI/agmind-lab/blob/main/catalog/claims/sql/answerless-rate-1k.sql
- Machine-readable: https://agmind.ai/claims/strix.qwen36.interactive2.c1.answerless-4k.json · full registry https://agmind.ai/claims.json

## Cited on

- https://agmind.ai/hy/measured/qwen3-6-35b-a3b-q4-k-m-on-ryzen-ai-max-395/

## Cite this

AGmind Systems Lab. Qwen3.6-35B-A3B Q4_K_M on Ryzen AI Max+ 395 (llama.cpp Vulkan): answerless (empty) responses at a 4k budget — 1.0 % of requests (share of all issued requests; 6 runs on 2 units; evidence level lab_unit_replicated; workload interactive-assistant-v2@2026-08-02). Claim strix.qwen36.interactive2.c1.answerless-4k. https://agmind.ai/claims/strix.qwen36.interactive2.c1.answerless-4k/

Registry changes feed: https://agmind.ai/claims/changes.xml · Corrections to published results: https://agmind.ai/errata/ · Data licensed CC BY 4.0.
Source page: https://agmind.ai/hy/claims/strix.qwen36.interactive2.c1.answerless-4k/