Add model card, RTX 5090 benchmarks, launch profile, and attribution

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README.md

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+---
+license: apache-2.0
+base_model: HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
+library_name: llama.cpp
+pipeline_tag: text-generation
+tags:
+  - gguf
+  - qwen3.6
+  - mixture-of-experts
+  - speculative-decoding
+  - dspark
+  - llama.cpp
+  - blackwell
+  - long-context
+---
+
+# Qwen3.6 35B A3B Aggressive Q4_K_M + DSpark GGUF
+
+A self-contained, tested pairing of the Q4_K_M target from
+[`HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive`](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive)
+and the Qwen3.6 DSpark GGUF draft converted by
+[`williamliao/Qwen3.6-35B-A3B-DSPARK-GGUF`](https://huggingface.co/williamliao/Qwen3.6-35B-A3B-DSPARK-GGUF).
+
+The weights are unchanged from those upstream releases. This repository adds a
+reproducible llama.cpp launch profile and measured RTX 5090 results at a
+200,704-token configured context window.
+
+> DSpark support is experimental. These results use
+> [`llama.cpp` PR #26275](https://github.com/ggml-org/llama.cpp/pull/26275),
+> commit `f806441edb5006fdacb07df42445f337476dd169`.
+
+## Files
+
+| File | Purpose | Size |
+|---|---|---:|
+| `Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf` | verifier/target model | 21.17 GB |
+| `Qwen3.6-35B-A3B-DSPARK.gguf` | DSpark draft model; not standalone | 1.04 GB |
+| `launch-dspark.sh` | tested 200K launch profile | — |
+| `prime-agent-models.json` | Prime Agent custom-provider template | — |
+| `benchmark-results.json` | machine-readable measurements | — |
+
+## RTX 5090 generation benchmark
+
+Measured locally on 2026-08-07. Each result is an end-to-end wall-clock OpenAI
+Chat Completions request generating 512 tokens. Values are three independent
+runs after loading the full 200,704-token context configuration.
+
+| Configuration | Runs (tok/s) | Mean | Best | VRAM | Relative to baseline |
+|---|---|---:|---:|---:|---:|
+| No draft | 270.79, 276.17, 279.65 | **275.54 tok/s** | 279.65 | 23,266 MiB | 1.000x |
+| DSpark, max draft 3 | 306.16, 312.70, 318.27 | **312.38 tok/s** | **318.27** | 27,944 MiB | **1.134x** |
+| DSpark, max draft 5 | 233.74, 256.70, 260.33 | 250.26 tok/s | 260.33 | 28,070 MiB | 0.908x |
+| DSpark, max draft 7 | 207.63, 224.25, 226.90 | 219.59 tok/s | 226.90 | 28,196 MiB | 0.797x |
+
+`--spec-draft-n-max 3` is the clear choice on this target. In the 3 × 512-token
+coding run, 337 of 520 drafted tokens were accepted (64.81%). A separate short
+generation accepted 41 of 45 drafted tokens (91.11%). Acceptance depends on the
+prompt and output distribution.
+
+### Test machine
+
+| Component | Value |
+|---|---|
+| GPU | NVIDIA GeForce RTX 5090, 32,607 MiB |
+| Driver / power limit | 595.84 / 575 W |
+| OS / kernel | Ubuntu 26.04 LTS / Linux 7.0.0-28-generic x86_64 |
+| Target quantization | Q4_K_M, 21.17 GB |
+| Draft | BF16 GGUF, 1.04 GB |
+| Configured context | 200,704 tokens |
+| KV cache | Q8_0 K and V for both target and draft |
+| Batch / microbatch | 2,048 / 512 |
+| Parallel slots | 1 |
+| Flash attention | enabled |
+
+These are single-stream decode measurements, not prompt-processing throughput
+or multi-user aggregate throughput. The first request can include warm-up
+overhead, which is intentionally retained in the mean.
+
+## Quality benchmarks
+
+DSpark is target-verifying speculative decoding: accepted draft tokens are
+verified by the target, so it accelerates inference without substituting the
+draft model's predictions for the target's decisions.
+
+The upstream Aggressive model card does not publish LiveCodeBench v6 or
+SWE-bench Verified scores, and those suites were not rerun for this packaging
+work. No quality score is claimed here. Refer to the
+[`HauhauCS` model card](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive)
+for the target's reported properties and safety behavior.
+
+## Run
+
+Build the experimental branch with CUDA enabled:
+
+```bash
+git clone --branch dspark-speculators https://github.com/wjinxu/llama.cpp.git
+cmake -S llama.cpp -B llama.cpp/build \
+  -DGGML_CUDA=ON -DCMAKE_BUILD_TYPE=Release \
+  -DCMAKE_CUDA_ARCHITECTURES=120a
+cmake --build llama.cpp/build --config Release -j --target llama-server
+```
+
+Then, from this repository directory:
+
+```bash
+LLAMA_SERVER=/path/to/llama.cpp/build/bin/llama-server ./launch-dspark.sh
+```
+
+OpenAI-compatible API:
+
+```bash
+curl http://127.0.0.1:8080/v1/chat/completions \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "model": "qwen3.6-35b-a3b-aggressive-dspark",
+    "messages": [{"role": "user", "content": "Write a Python LRU cache."}],
+    "temperature": 0,
+    "max_tokens": 512
+  }'
+```
+
+For Prime Agent, copy `prime-agent-models.json` to
+`~/.prime/agent/models.json`, change `YOUR_SERVER_IP`, then select provider
+`qwen36-dspark` and model `qwen3.6-35b-a3b-aggressive-dspark`.
+
+## Attribution and limitations
+
+- Target and quantization: [HauhauCS](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive)
+- Base model: [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B)
+- Draft conversion: [williamliao/Qwen3.6-35B-A3B-DSPARK-GGUF](https://huggingface.co/williamliao/Qwen3.6-35B-A3B-DSPARK-GGUF)
+- Draft lineage: [Koopah/Qwen3.6-35B-A3B-NVFP4-DSPARK](https://huggingface.co/Koopah/Qwen3.6-35B-A3B-NVFP4-DSPARK)
+- DSpark research/runtime: [DeepSpec](https://github.com/deepseek-ai/DeepSpec) and [llama.cpp PR #26275](https://github.com/ggml-org/llama.cpp/pull/26275)
+
+This target is explicitly uncensored. Review the upstream model card and use it
+responsibly. This bundle is text-only because it does not include the optional
+vision projector. See `THIRD_PARTY_NOTICES.md` and `LICENSE`.

SHA256SUMS

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+bbef58c37ce88820be9d98b6437f1cf4bac890c947bd55fc7b68e22098574231  Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf
+5b81226a453eb9898f810ad9939d6c6cbe3d8994912d5443d771ed99a48a0ded  Qwen3.6-35B-A3B-DSPARK.gguf

THIRD_PARTY_NOTICES.md

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+# Third-party notices
+
+This bundle redistributes unchanged Apache-2.0 model artifacts and adds launch
+configuration and local benchmark data.
+
+- `Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf` originates from
+  `HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive`, derived from
+  `Qwen/Qwen3.6-35B-A3B`. Copyright and attribution remain with their authors.
+- `Qwen3.6-35B-A3B-DSPARK.gguf` originates from
+  `williamliao/Qwen3.6-35B-A3B-DSPARK-GGUF`, whose model card identifies
+  `Koopah/Qwen3.6-35B-A3B-NVFP4-DSPARK` as its base. Copyright and attribution
+  remain with their authors.
+- The launch profile requires experimental code from `wjinxu/llama.cpp`, branch
+  `dspark-speculators`, proposed as `ggml-org/llama.cpp` PR #26275. llama.cpp is
+  licensed separately under MIT.
+
+No affiliation with or endorsement by Qwen, HauhauCS, Koopah, William Liao,
+DeepSeek, DeepSpec, or the llama.cpp maintainers is implied.

benchmark-results.json

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+{
+  "date": "2026-08-07",
+  "method": "OpenAI Chat Completions wall-clock, 512 generated tokens per run",
+  "hardware": {
+    "gpu": "NVIDIA GeForce RTX 5090",
+    "vram_mib": 32607,
+    "driver": "595.84",
+    "power_limit_w": 575,
+    "os": "Ubuntu 26.04 LTS",
+    "kernel": "7.0.0-28-generic"
+  },
+  "runtime": {
+    "llama_cpp_commit": "f806441edb5006fdacb07df42445f337476dd169",
+    "context_tokens": 200704,
+    "batch": 2048,
+    "microbatch": 512,
+    "parallel": 1,
+    "flash_attention": true,
+    "target_kv": "q8_0",
+    "draft_kv": "q8_0"
+  },
+  "results": [
+    {"mode": "baseline", "draft_max": 0, "tok_s": [270.79, 276.17, 279.65], "mean_tok_s": 275.54, "best_tok_s": 279.65, "vram_mib": 23266},
+    {"mode": "dspark", "draft_max": 3, "tok_s": [306.16, 312.70, 318.27], "mean_tok_s": 312.38, "best_tok_s": 318.27, "vram_mib": 27944, "accepted": 337, "drafted": 520},
+    {"mode": "dspark", "draft_max": 5, "tok_s": [233.74, 256.70, 260.33], "mean_tok_s": 250.26, "best_tok_s": 260.33, "vram_mib": 28070},
+    {"mode": "dspark", "draft_max": 7, "tok_s": [207.63, 224.25, 226.90], "mean_tok_s": 219.59, "best_tok_s": 226.90, "vram_mib": 28196}
+  ]
+}

launch-dspark.sh

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+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR=$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)
+LLAMA_SERVER=${LLAMA_SERVER:-llama-server}
+CONTEXT_SIZE=${CONTEXT_SIZE:-200704}
+PORT=${PORT:-8080}
+
+exec "${LLAMA_SERVER}" \
+  -m "${SCRIPT_DIR}/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf" \
+  -md "${SCRIPT_DIR}/Qwen3.6-35B-A3B-DSPARK.gguf" \
+  --spec-type draft-dspark --spec-draft-n-max 3 --spec-draft-n-min 0 \
+  --alias qwen3.6-35b-a3b-aggressive-dspark \
+  --host 0.0.0.0 --port "${PORT}" \
+  -ngl 999 -ngld 999 -c "${CONTEXT_SIZE}" -np 1 \
+  -b 2048 -ub 512 -fa on \
+  -ctk q8_0 -ctv q8_0 -ctkd q8_0 -ctvd q8_0 \
+  --jinja --metrics "$@"

prime-agent-models.json

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+{
+  "providers": {
+    "qwen36-dspark": {
+      "baseUrl": "http://YOUR_SERVER_IP:8080/v1",
+      "api": "openai-completions",
+      "apiKey": "local",
+      "compat": {
+        "supportsDeveloperRole": false,
+        "supportsReasoningEffort": false,
+        "supportsUsageInStreaming": false,
+        "supportsStore": false,
+        "supportsStrictMode": false,
+        "maxTokensField": "max_tokens",
+        "thinkingFormat": "qwen-chat-template"
+      },
+      "models": [
+        {
+          "id": "qwen3.6-35b-a3b-aggressive-dspark",
+          "name": "Qwen3.6 35B A3B Aggressive + DSpark",
+          "reasoning": true,
+          "input": ["text"],
+          "contextWindow": 200704,
+          "maxTokens": 32768,
+          "cost": {"input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0}
+        }
+      ]
+    }
+  }
+}