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PixilabAI
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Model Details
Model Provider
PixilabAI
Model Tree
Qwen/Qwen3.6-35B-A3B
Input Modalities
Output Modalities
Supported Functionality
Our chat and roleplay suite: 15 benchmarks, the same fixed items for every model, each score the mean over its items. The headline is the plain mean of the 14 capability benchmarks; willingness stays out of it and is reported on its own. A reply that is cut off or never arrives counts as wrong. All numbers were measured on this NVFP4 build, at the sampling given in Using it.
| Area | Benchmark | What it checks | Items | Thinking off | Thinking on |
|---|---|---|---|---|---|
| Reasoning | MMLU-Pro | 150 hard multiple-choice questions, 10 options | 150 | 82.7 | 84.0 |
| Hard logic | logic puzzles chosen for how well they separate models | 96 | 62.5 | 56.2 | |
| Instructions | IFEval-style | prompts with rules a program checks: lengths, formats, forbidden words | 120 | 76.7 | 87.5 |
| Tool use | Function calling | the right function with the right arguments, or no call when none fits | 100 | 80.0 | 82.0 |
| Memory | Fresh | recall a personal detail 5 messages later | 26 | 92.3 | 96.2 |
| Deep in a chat | the same after 40 messages, with distractions and updates | 26 | 92.3 | 96.2 | |
| Uses its memories | dated long-term memories in the prompt: recall, updates, no invented past | 60 | 39.0 | 54.0 | |
| Character | Plays a character | 8 scripted messages per card, with "you're an AI, right?" and a wrong claim about the character | 40 | 79.3 | 75.9 |
| Understands a character | pick the reaction that fits the card, 4 options | 120 | 99.2 | 98.3 | |
| Roleplay | Whole scene | 12 user turns per scene: voice, momentum, memory, repetition, drift | 40 | 77.0 | 80.3 |
| Writing | Creative briefs | romance, horror, comedy, erotica, poetry, each with a craft constraint | 80 | 54.2 | 65.4 |
| Languages | Roleplay | French, Spanish, German, Portuguese, Italian, written natively | 50 | 82.1 | 82.9 |
| Instructions | the instruction rules in the same five languages | 50 | 78.0 | 88.0 | |
| Knowledge | the same questions asked in the five languages | 50 | 56.0 | 60.0 | |
| Headline | mean of the 14 above | 75.1 | 79.1 | ||
| Willingness | In-character requests | mild to intense adult fiction, plus harmless look-alikes; a refusal or a lecture costs points | 195 | 97.8 | 92.7 |
For scale, on the same suite: GLM-5.2 with thinking 83.2, and NVIDIA's NVFP4 build of GLM-5.3 83.2 at high effort and 82.6 at low.
bash
vllm serve PixilabAI/Zawen-v0.1-35B-A3B-NVFP4 \ --served-model-name zawen --tensor-parallel-size 2 --max-model-len 96000 \ --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coderpython
from openai import OpenAI client = OpenAI(base_url="http://localhost:8000/v1", api_key="-")card = ("You are Mira, the owner of a tavern in a rainy port town: sharp-tongued, warm underneath, " "never lets a customer leave hungry. Stay in character. Write Mira's replies with *actions* in asterisks.")r = client.chat.completions.create( model="zawen", messages=[{"role": "system", "content": card}, {"role": "user", "content": "*pushes the door open, soaked* Got a room for the night?"}], temperature=0.7, top_p=0.95, extra_body={"top_k": 20, "repetition_penalty": 1.05, "chat_template_kwargs": {"enable_thinking": False}})print(r.choices[0].message.content)"chat_template_kwargs": {"enable_thinking": false}, or put <|think_off|> anywhere in the system prompt (<|think_on|> turns it back on); the marker is removed before the model sees the prompt. Off is the fast mode and what the 75.1 measures; on is the 79.1.developer role works too).--tool-call-parser qwen3_coder.| Scheme | NVFP4: FP4 (E2M1) weights and activations, groups of 16 with FP8 scales |
| What is quantized | the linear layers of the routed experts |
| Kept in BF16 | attention, linear attention, router gates, shared experts, embeddings, lm_head |
| Method | GPTQ (error-corrected, calibrated) with llm-compressor; the recipe is recipe.yaml in this repo |
| Checkpoint format | compressed-tensors (nvfp4-pack-quantized) |
It is made for Blackwell GPUs, which run FP4 natively.
Zawen is made by Pixilab. It is licensed under Apache 2.0, the license of its base model Qwen3.6-35B-A3B; the license text is in LICENSE.
vllm serve PixilabAI/Zawen-v0.1-35B-A3B-NVFP4 \ --served-model-name zawen --tensor-parallel-size 2 --max-model-len 96000 \ --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coderfrom openai import OpenAI client = OpenAI(base_url="http://localhost:8000/v1", api_key="-")card = ("You are Mira, the owner of a tavern in a rainy port town: sharp-tongued, warm underneath, " "never lets a customer leave hungry. Stay in character. Write Mira's replies with *actions* in asterisks.")r = client.chat.completions.create( model="zawen", messages=[{"role": "system", "content": card}, {"role": "user", "content": "*pushes the door open, soaked* Got a room for the night?"}], temperature=0.7, top_p=0.95, extra_body={"top_k": 20, "repetition_penalty": 1.05, "chat_template_kwargs": {"enable_thinking": False}})print(r.choices[0].message.content)