Not-For-All-Audiences

abliterated

heretic

uncensor

hermes-lineage

Model card Files Files and versions

xet

Community

Instructions to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT")
model = AutoModelForMultimodalLM.from_pretrained("oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT

SGLang

How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with Docker Model Runner:
```
docker model run hf.co/oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT
```

oktayd commited on 20 days ago

Commit

9c72efb

verified ·

1 Parent(s): 682a3ae

Explain MoE and inherited stages; add per-test benchmark dropdowns and laptop capability roadmap

Browse files

Files changed (4) hide show

BENCHMARK-TEST-COUNTS.json +1362 -0
LAPTOP-CAPABILITY-PLAN.md +51 -0
README.md +241 -1
SHA256SUMS +3 -1

BENCHMARK-TEST-COUNTS.json ADDED Viewed

	@@ -0,0 +1,1362 @@

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+      "model": "Huihui",
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+          "scored": 5,
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+        {
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+    }
+  ]
+}

LAPTOP-CAPABILITY-PLAN.md ADDED Viewed

	@@ -0,0 +1,51 @@

+# Laptop assistant: from quick tests to useful workflows
+**Status: local preparation in progress; no laptop winner selected yet.** This is a deployment roadmap, not a claim that the full integration already works.
+## 💻 Coding and agent skills — what we will actually test
+| Track | Cases | Success evidence | Current status |
+|---|---:|---|---|
+| HumanEval+ | 5 | Generated functions pass the selected task's base and extended tests in an isolated container | Existing outputs; execution/grading must be reconciled |
+| MBPP+ | 5 | Correct results on base and extended tests, including edge cases | Existing outputs; execution/grading must be reconciled |
+| LiveCodeBench | 9 | Program passes task tests within sandbox limits | Existing outputs; execution/grading must be reconciled |
+| Q36 bug fixes | 5 | Reproduce a failing test, apply a patch, pass regression tests | New tasks to prepare |
+| Q36 small app / website tasks | 5 | Build succeeds; required UI behavior passes browser checks | New tasks to prepare |
+| Tool choice and arguments | 5 | Correct tool and schema-valid arguments; no invented tool result | Local smoke fixtures prepared separately |
+| Multi-step planning | 5 | Respect dependencies and reach a verifiable final state | New interactive fixtures to prepare |
+| Recovery from tool errors | 5 | Respond to a simulated failure, choose a valid alternative, verify recovery | New interactive fixtures to prepare |
+| Memory and conflicting evidence | 5 | Retrieve the correct note, cite it, distinguish updated from stale facts | New isolated test vault to prepare |
+| Stopping and task completion | 5 | Stop after success; report missing prerequisites instead of inventing completion | New interactive fixtures to prepare |
+| Transfer to changed constraints | 5 | Solve held-out variants after a changed rule or environment | New tasks to prepare |
+**64 case slots in this extension**, including 19 existing coding slots. These are compact diagnostics, not full leaderboard scores. The agent tasks measure useful components of general problem solving, **not proof of AGI**. Existing Hermes-format and JSON-schema diagnostics remain in the broad suite and are not silently counted twice.
+### How a capability earns a card entry
+Freeze tasks and evaluators before comparing runtime settings. Count one primary attempt per case. Report **passes / executed-and-graded cases**, task coverage, failures and ungraded cases together. Publish results even when they are weak; only describe a workflow as demonstrated when its actual end-to-end task passes. A successful JSON tool-call test alone does not establish autonomous coding or desktop control.
+Generated code runs in a disposable container without network access, host credentials or user-folder mounts, with CPU, RAM, process and time limits. Host tools and paid services are not available to benchmark prompts.
+## ⚡ Pick a laptop runtime
+1. Smoke-test **IQ4_XS, Q3_K_M, IQ2_M and IQ1_M**; exclude the BF16 server package. Start with IQ2_M to check loading and the harness.
+2. Compare **Ollama and llama.cpp**, each with a documented baseline and an optimized profile: 16 primary configurations. FreeToken is an additional experimental backend only if a compatible build actually runs.
+3. Use the same prompts, image inputs, context, output cap and thinking setting. Tune only on a separate warm-up set, then freeze settings.
+4. Record answer quality separately from prefill/decode tokens/s, end-to-end speed, time to first visible output, CPU/RAM/VRAM, temperatures, timeouts and incomplete outputs.
+5. Select a measured quality/performance/memory compromise, not simply the fastest token rate. An OOM or unsupported backend is a technical failure, not a wrong answer.
+The target laptop has **32 GB RAM and an RTX 4060 Laptop GPU with 8 GB VRAM**. These 35B-weight models need CPU/RAM offload. MoE reduces active computation, not the need to store the expert weights.
+## 🛠️ Hermes, routing and personal memory
+After selecting the runtime, test it as a local endpoint behind the existing Hermes/router installation. Keep the previous route available for rollback. First use a dedicated test workspace and synthetic notes; connect the real Obsidian vault only after the test flow passes.
+Useful scenarios to validate:
+- **Code companion:** inspect a sample repository, fix one bug, run tests and summarize the patch.
+- **Project memory:** find a note, cite its source and use its latest decision in a response.
+- **Research notebook:** turn supplied material into a draft note with provenance, then ask before writing into the real vault.
+- **Task recovery:** recognize an unavailable tool, ask for what is missing or use an explicitly allowed alternative.
+- **Private local assistant:** use the configured local route and verify that external fallback is disabled for private inputs.
+Obsidian storage, retrieval/indexing, memory updates and routing belong to the host application. They are not built into the model weights. Exact endpoint instructions and working configuration examples will be added after local validation; no production routing has been changed by this document.

README.md CHANGED Viewed

@@ -12,7 +12,7 @@ tags:
 - abliterated
 - heretic
 - uncensor
-- hermes
 - mtp
 - coding
 - tool-calling
@@ -46,6 +46,12 @@ Meet your local AI companion for ideas, code, images and conversation. **Qwen3.6
 These are things to try, not promises of perfect results. It can make mistakes or repeat itself; check important answers. Adult-oriented training is included (**18+**).
 ## 🕶️ Street knowledge. Business mind. Your style.
 The personality direction is **direct, sharp-witted and business-minded**: a street-smart conversation partner with humor, creative confidence and room for disagreement. The training mix includes internet culture, slang, practical business topics and personality-oriented conversations. Think less formal textbook, more an opinionated partner for brainstorming, writing and exploring alternatives.
@@ -289,6 +295,219 @@ Huihui performed better on the shared automatically assessable RTX 5090 subset;
 </details>
 ## 📜 License, lineage & credits
 [Apache-2.0 license](LICENSE). Dataset sources and their own license information are linked in [DATASETS.md](DATASETS.md); model licensing does not relicense the source datasets. Thanks to the Qwen team, the inherited model and dataset authors, and the Soup, PEFT, Transformers, llama.cpp and Ollama projects.
@@ -297,6 +516,27 @@ Huihui performed better on the shared automatically assessable RTX 5090 subset;
 These names do not imply affiliation or a promise of unrestricted behavior. Full provenance and validation are retained, including the historical Opus4.7-labelled source. No universal superiority, guaranteed compliance or removal of memorization is claimed.
 ## 🔗 Related collection
 The previous release remains separate: [Qwen3.6 Opus4.7 Heretic Hermes Agent — Editions](https://huggingface.co/collections/oktayd/qwen36-opus47-heretic-hermes-agent-editions-6a8d09f6c2eb42ed1b112184).

 - abliterated
 - heretic
 - uncensor
+- hermes-lineage
 - mtp
 - coding
 - tool-calling
 These are things to try, not promises of perfect results. It can make mistakes or repeat itself; check important answers. Adult-oriented training is included (**18+**).
+## 🧠 A team of experts inside one model
+**MoE means Mixture of Experts.** Think of a team of specialists: for each token, a router chooses which expert networks should contribute. This model has about **35 billion parameters in total**, with roughly **3 billion active per token**; its configuration selects **8 of 256 routed experts**.
+That saves computation compared with activating every expert at once. It does **not** turn a 35B download into a 3B-sized model: the expert weights still need disk space and accessible RAM/VRAM. Quantized editions make local use more practical. The experts are learned networks, not separate installed apps or named profession-specific agents.
 ## 🕶️ Street knowledge. Business mind. Your style.
 The personality direction is **direct, sharp-witted and business-minded**: a street-smart conversation partner with humor, creative confidence and room for disagreement. The training mix includes internet culture, slang, practical business topics and personality-oriented conversations. Think less formal textbook, more an opinionated partner for brainstorming, writing and exploring alternatives.
 </details>
+<!-- q36-capability-expansion:start -->
+## 🔎 Broad benchmark — tests and passes
+Expand a device to inspect every test family. **Passes / graded** use the original strict evaluator, including format-sensitive checks. Ungraded answers are not failures or passes. Incomplete is a separate delivery flag and can overlap with ungraded. These are small local subsets, not official leaderboard scores.
+<details>
+<summary>Q36 · H200 — per-test breakdown</summary>
+| Test family | Attempted / planned | Passes / graded | Ungraded | Incomplete | Not run |
+|---|---:|---:|---:|---:|---:|
+| ARC-Challenge | 10 / 10 | 8 / 8 | 2 | 2 | 0 |
+| BBH | 23 / 23 | 3 / 20 | 3 | 3 | 0 |
+| ChartQA | 5 / 5 | 4 / 5 | 0 | 0 | 0 |
+| GPQA-Diamond | 5 / 5 | 2 / 5 | 0 | 0 | 0 |
+| GSM8K | 10 / 10 | 5 / 9 | 1 | 1 | 0 |
+| HumanEval-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| IFEval | 10 / 10 | 0 / 0 | 10 | 4 | 0 |
+| LiveCodeBench | 9 / 9 | 0 / 0 | 9 | 0 | 0 |
+| MATH-Level-5 | 10 / 10 | 0 / 0 | 10 | 2 | 0 |
+| MBPP-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| MMLU-Pro | 1 / 1 | 0 / 1 | 0 | 0 | 0 |
+| MMMU | 6 / 6 | 4 / 6 | 0 | 0 | 0 |
+| MathVista | 5 / 5 | 2 / 5 | 0 | 0 | 0 |
+| Q36-Agent-Function-Calling | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Answer-Termination-No-Looping | 10 / 10 | 7 / 10 | 0 | 0 | 0 |
+| Q36-Benign-Compliance-No-Overrefusal | 20 / 20 | 0 / 0 | 20 | 2 | 0 |
+| Q36-CAPTCHA-Detection-and-Handoff | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| Q36-Contradiction-and-Anti-Sycophancy | 10 / 10 | 0 / 0 | 10 | 2 | 0 |
+| Q36-Direct-Style-and-Personality | 10 / 10 | 0 / 0 | 10 | 1 | 0 |
+| Q36-Hermes-Tool-Format | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| Q36-JSON-Schema | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Legal-Alternatives-and-Boundaries | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Output-Integrity | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| TruthfulQA | 10 / 10 | 6 / 9 | 1 | 1 | 0 |
+</details>
+<details>
+<summary>Q36 · RTX 5090 — per-test breakdown</summary>
+| Test family | Attempted / planned | Passes / graded | Ungraded | Incomplete | Not run |
+|---|---:|---:|---:|---:|---:|
+| ARC-Challenge | 10 / 10 | 8 / 8 | 2 | 2 | 0 |
+| BBH | 23 / 23 | 3 / 20 | 3 | 3 | 0 |
+| ChartQA | 5 / 5 | 4 / 5 | 0 | 0 | 0 |
+| GPQA-Diamond | 5 / 5 | 1 / 5 | 0 | 0 | 0 |
+| GSM8K | 10 / 10 | 7 / 10 | 0 | 0 | 0 |
+| HumanEval-Plus | 5 / 5 | 0 / 0 | 5 | 1 | 0 |
+| IFEval | 10 / 10 | 0 / 0 | 10 | 2 | 0 |
+| LiveCodeBench | 9 / 9 | 0 / 0 | 9 | 0 | 0 |
+| MATH-Level-5 | 10 / 10 | 0 / 0 | 10 | 1 | 0 |
+| MBPP-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| MMLU-Pro | 1 / 1 | 0 / 1 | 0 | 0 | 0 |
+| MMMU | 6 / 6 | 4 / 6 | 0 | 0 | 0 |
+| MathVista | 5 / 5 | 2 / 5 | 0 | 0 | 0 |
+| Q36-Agent-Function-Calling | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Answer-Termination-No-Looping | 10 / 10 | 9 / 10 | 0 | 0 | 0 |
+| Q36-Benign-Compliance-No-Overrefusal | 20 / 20 | 0 / 0 | 20 | 2 | 0 |
+| Q36-CAPTCHA-Detection-and-Handoff | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| Q36-Contradiction-and-Anti-Sycophancy | 10 / 10 | 0 / 0 | 10 | 2 | 0 |
+| Q36-Direct-Style-and-Personality | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Hermes-Tool-Format | 5 / 5 | 3 / 5 | 0 | 0 | 0 |
+| Q36-JSON-Schema | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Legal-Alternatives-and-Boundaries | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Output-Integrity | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| TruthfulQA | 10 / 10 | 6 / 9 | 1 | 1 | 0 |
+</details>
+<details>
+<summary>Huihui · RTX 5090 — per-test breakdown</summary>
+| Test family | Attempted / planned | Passes / graded | Ungraded | Incomplete | Not run |
+|---|---:|---:|---:|---:|---:|
+| ARC-Challenge | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| BBH | 23 / 23 | 16 / 23 | 0 | 0 | 0 |
+| ChartQA | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| GPQA-Diamond | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| GSM8K | 10 / 10 | 7 / 10 | 0 | 0 | 0 |
+| HumanEval-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| IFEval | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| LiveCodeBench | 9 / 9 | 0 / 0 | 9 | 5 | 0 |
+| MATH-Level-5 | 10 / 10 | 0 / 0 | 10 | 2 | 0 |
+| MBPP-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| MMLU-Pro | 1 / 1 | 0 / 1 | 0 | 0 | 0 |
+| MMMU | 6 / 6 | 4 / 6 | 0 | 0 | 0 |
+| MathVista | 5 / 5 | 3 / 5 | 0 | 0 | 0 |
+| Q36-Agent-Function-Calling | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Answer-Termination-No-Looping | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| Q36-Benign-Compliance-No-Overrefusal | 20 / 20 | 0 / 0 | 20 | 0 | 0 |
+| Q36-CAPTCHA-Detection-and-Handoff | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| Q36-Contradiction-and-Anti-Sycophancy | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Direct-Style-and-Personality | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Hermes-Tool-Format | 5 / 5 | 4 / 5 | 0 | 0 | 0 |
+| Q36-JSON-Schema | 5 / 5 | 2 / 5 | 0 | 0 | 0 |
+| Q36-Legal-Alternatives-and-Boundaries | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Output-Integrity | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| TruthfulQA | 10 / 10 | 6 / 9 | 1 | 1 | 0 |
+</details>
+<details>
+<summary>Q36 · RTX 2000 Ada (CPU+GPU) — per-test breakdown</summary>
+| Test family | Attempted / planned | Passes / graded | Ungraded | Incomplete | Not run |
+|---|---:|---:|---:|---:|---:|
+| ARC-Challenge | 10 / 10 | 7 / 7 | 3 | 3 | 0 |
+| BBH | 23 / 23 | 3 / 20 | 3 | 3 | 0 |
+| ChartQA | 5 / 5 | 4 / 5 | 0 | 0 | 0 |
+| GPQA-Diamond | 5 / 5 | 2 / 5 | 0 | 0 | 0 |
+| GSM8K | 10 / 10 | 8 / 10 | 0 | 0 | 0 |
+| HumanEval-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| IFEval | 10 / 10 | 0 / 0 | 10 | 1 | 0 |
+| LiveCodeBench | 9 / 9 | 0 / 0 | 9 | 0 | 0 |
+| MATH-Level-5 | 10 / 10 | 0 / 0 | 10 | 1 | 0 |
+| MBPP-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| MMLU-Pro | 1 / 1 | 0 / 1 | 0 | 0 | 0 |
+| MMMU | 6 / 6 | 1 / 6 | 0 | 0 | 0 |
+| MathVista | 5 / 5 | 3 / 5 | 0 | 0 | 0 |
+| Q36-Agent-Function-Calling | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Answer-Termination-No-Looping | 10 / 10 | 8 / 10 | 0 | 0 | 0 |
+| Q36-Benign-Compliance-No-Overrefusal | 20 / 20 | 0 / 0 | 20 | 1 | 0 |
+| Q36-CAPTCHA-Detection-and-Handoff | 10 / 10 | 9 / 10 | 0 | 0 | 0 |
+| Q36-Contradiction-and-Anti-Sycophancy | 10 / 10 | 0 / 0 | 10 | 1 | 0 |
+| Q36-Direct-Style-and-Personality | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Hermes-Tool-Format | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| Q36-JSON-Schema | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Legal-Alternatives-and-Boundaries | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Output-Integrity | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| TruthfulQA | 10 / 10 | 6 / 10 | 0 | 0 | 0 |
+</details>
+<details>
+<summary>Huihui · RTX 2000 Ada (CPU+GPU) — per-test breakdown</summary>
+| Test family | Attempted / planned | Passes / graded | Ungraded | Incomplete | Not run |
+|---|---:|---:|---:|---:|---:|
+| ARC-Challenge | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| BBH | 11 / 23 | 6 / 10 | 1 | 1 | 12 |
+| ChartQA | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| GPQA-Diamond | 5 / 5 | 3 / 3 | 2 | 2 | 0 |
+| GSM8K | 10 / 10 | 7 / 10 | 0 | 0 | 0 |
+| HumanEval-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| IFEval | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| LiveCodeBench | 9 / 9 | 0 / 0 | 9 | 4 | 0 |
+| MATH-Level-5 | 10 / 10 | 0 / 0 | 10 | 5 | 0 |
+| MBPP-Plus | 5 / 5 | 0 / 0 | 5 | 0 | 0 |
+| MMLU-Pro | 1 / 1 | 0 / 0 | 1 | 1 | 0 |
+| MMMU | 6 / 6 | 4 / 6 | 0 | 0 | 0 |
+| MathVista | 5 / 5 | 3 / 5 | 0 | 0 | 0 |
+| Q36-Agent-Function-Calling | 5 / 5 | 0 / 5 | 0 | 0 | 0 |
+| Q36-Answer-Termination-No-Looping | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| Q36-Benign-Compliance-No-Overrefusal | 10 / 20 | 0 / 0 | 10 | 0 | 10 |
+| Q36-CAPTCHA-Detection-and-Handoff | 10 / 10 | 10 / 10 | 0 | 0 | 0 |
+| Q36-Contradiction-and-Anti-Sycophancy | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Direct-Style-and-Personality | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Hermes-Tool-Format | 5 / 5 | 3 / 5 | 0 | 0 | 0 |
+| Q36-JSON-Schema | 5 / 5 | 3 / 5 | 0 | 0 | 0 |
+| Q36-Legal-Alternatives-and-Boundaries | 10 / 10 | 0 / 0 | 10 | 0 | 0 |
+| Q36-Output-Integrity | 5 / 5 | 5 / 5 | 0 | 0 | 0 |
+| TruthfulQA | 10 / 10 | 7 / 10 | 0 | 0 | 0 |
+</details>
+[Machine-readable counts](BENCHMARK-TEST-COUNTS.json). Code generation is not a pass until the relevant execution tests have been graded.
+## 🏁 Hard benchmarks on the roadmap
+All **25 families** below are registered from the [Qwen3.8-27B card](https://huggingface.co/Qwen/Qwen3.8-27B). The matching official adapters and datasets are not yet fully prepared, and **no local Qwen3.8 baseline has been run**. Existing short similarly named diagnostics do not substitute for those runs.
+<details>
+<summary>Coding, reasoning, agent and visual benchmarks — complete planned list</summary>
+| Benchmark | Planned local cases | Preparation status |
+|---|---:|---|
+| Terminal Bench 2.1 (Terminus) | 5 | Adapter/data preparation pending |
+| SWE-bench Pro | 5 | Adapter/data preparation pending |
+| NL2Repo-Bench | 5 | Adapter/data preparation pending |
+| DeepSWE 1.1 | 5 | Adapter/data preparation pending |
+| QwenSWEBench | TBD | Internal release/access needed |
+| CoWorkBench | TBD | Internal release/access needed |
+| JobBench | 5 | Adapter/data preparation pending |
+| Agents' Last Exam | 5 | Adapter/data preparation pending |
+| IFBench | 20 | Adapter/data preparation pending |
+| GPQA Diamond | 20 | Adapter/data preparation pending |
+| HLE | 10 | Adapter/data preparation pending |
+| LiveCodeBench v6 | 10 | Adapter/data preparation pending |
+| OSWorld-Verified | 5 | Adapter/data preparation pending |
+| WebArena-Verified | 5 | Adapter/data preparation pending |
+| AndroidWorld | 5 | Adapter/data preparation pending |
+| RecreationBench | TBD | Internal release/access needed |
+| ClawEval-MM | 5 | Adapter/data preparation pending |
+| SWE-MM | 5 | Adapter/data preparation pending |
+| Vision2Web | 5 | Adapter/data preparation pending |
+| MathVision | 10 | Adapter/data preparation pending |
+| BabyVision | 10 | Adapter/data preparation pending |
+| CharXiv (RQ) | 10 | Adapter/data preparation pending |
+| OmniDocBench 1.5 | 10 | Adapter/data preparation pending |
+| RealWorldQA | 20 | Adapter/data preparation pending |
+| ERQA | 10 | Adapter/data preparation pending |
+</details>
+Comparison graphics will follow measured results, with our local samples and publisher-reported scores kept clearly separate. Different harnesses, budgets and trial counts will not be presented as a head-to-head win. [Full protocol and references](BENCHMARK-PLAN.md).
+## 💻 Coding, agents and your laptop
+The next local checks cover executable coding tests, bug fixes, tool calls, planning, recovery, memory and stopping at the right time. **64 case slots** are specified, including 19 existing coding slots. They are compact skill diagnostics, not proof of AGI. Results and failures will both be reported; new capability claims require actual task-level evidence.
+[🛠️ Laptop test plan, Hermes routing and Obsidian workflows](LAPTOP-CAPABILITY-PLAN.md). The runtime comparison and full memory integration are **in preparation**, not yet validated. The four device quickstarts above remain separate from these future end-to-end checks.
+<!-- q36-capability-expansion:end -->
 ## 📜 License, lineage & credits
 [Apache-2.0 license](LICENSE). Dataset sources and their own license information are linked in [DATASETS.md](DATASETS.md); model licensing does not relicense the source datasets. Thanks to the Qwen team, the inherited model and dataset authors, and the Soup, PEFT, Transformers, llama.cpp and Ollama projects.
 These names do not imply affiliation or a promise of unrestricted behavior. Full provenance and validation are retained, including the historical Opus4.7-labelled source. No universal superiority, guaranteed compliance or removal of memorization is claimed.
+<details>
+<summary>🧬 What Ablit, Heretic, Uncensor, Hermes, MTP and Vision mean</summary>
+This release builds on the [previous project's model card](https://huggingface.co/oktayd/Q36-35B-A3B-Opus4.7-Ablit-Heretic-OBLITERATUS-Hermes-MTP-Vision-FT), which records the following stages. These are inherited stages, not new operations performed while packaging this release.
+| Name / stage | What it contributes |
+|---|---|
+| **Qwen3.6 / MoE** | The underlying language-and-vision architecture and mixture-of-experts backbone. |
+| **Reasoning-distilled lineage** | The earlier card traces a lordx64 derivative followed by the huihui-ai derivative. The historical Opus4.7 label describes inherited reasoning-distillation provenance, not inclusion of proprietary Claude weights. |
+| **Ablit / abliterated** | The huihui-ai source underwent a weight-modification stage aimed at reducing refusal behavior. It is not a separate tool library. |
+| **Heretic** | A subsequent custom, fused-MoE-aware modification stage documented by the previous release. It is distinct from the earlier abliteration. |
+| **OBLITERATUS Nuclear / Uncensor** | Another separately recorded inherited modification stage aimed at reducing refusal behavior. **Uncensor** is the concise release-name label; OBLITERATUS remains part of the provenance. |
+| **Hermes** | Tool-oriented supervised training: function-call structure, coding, terminal/file/repository workflows and multi-tool coordination, using [Hermes Function Calling](https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1) and [Hermes Agent reasoning traces](https://huggingface.co/datasets/lambda/hermes-agent-reasoning-traces). Your host application still supplies, authorizes and executes tools. |
+| **v2 fine-tuning** | Three additional Soup/PEFT training runs with 34,000 record uses spanning knowledge, instructions, coding, personality and selected vision data. See [datasets and counts](DATASETS.md). |
+| **MTP** | Preserved multi-token-prediction tensors. Preservation is not evidence that speculative decoding is enabled or faster in your runtime. |
+| **Vision** | Image-input architecture; GGUF runtimes also need the matching projector. It does not itself supply browser control, memory or a 3D engine. |
+The old card reports **23,220 training and 1,179 validation examples** for its own earlier SFT stage; those are separate from the current release's 34,000 record uses. It also records protection of 333 vision tensors and 19 MTP tensors in that earlier build. These historical checks are not new laptop benchmark results.
+</details>
 ## 🔗 Related collection
 The previous release remains separate: [Qwen3.6 Opus4.7 Heretic Hermes Agent — Editions](https://huggingface.co/collections/oktayd/qwen36-opus47-heretic-hermes-agent-editions-6a8d09f6c2eb42ed1b112184).

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