---
license: mit
task_categories:
  - text-generation
tags:
  - benchmark
  - throughput
  - quality
  - vllm
  - gentoo
  - nanbeige
  - awq
language:
  - en
pretty_name: Nanbeige4.2-3B AWQ gentoo gauntlet
---

# Nanbeige4.2-3B AWQ — gentoo quality / speed / context / concurrency gauntlet

Separate dataset from [`LostGentoo/gentoo-small-model-throughput-vllm`](https://huggingface.co/datasets/LostGentoo/gentoo-small-model-throughput-vllm). Same harness (conc + ctx throughput + lighteval `chat_core`), single model: AWQ W4A16 of Nanbeige4.2-3B on the Nanbeige vLLM fork.

## Setup

| Setting | Value |
|---|---|
| Host | gentoo (3× RTX 5060 Ti 16 GB) |
| GPU | CUDA device 2 |
| Engine | Nanbeige/vllm `@nanbeige42` |
| Model | `LostGentoo/Nanbeige4.2-3B-AWQ-W4A16-ASYM` |
| max_model_len | 4096 |
| gpu_memory_utilization | 0.70 |
| Throughput gen length | 128 tokens |
| Warmup / repeats | 2 / 2 |
| Concurrency levels | 1, 2, 4, 6, 8, 10, 12, 16, 20 |
| Context tiers | 128, 512, 1024, 2048, 4096 |
| Quality suite | lighteval `chat_core` = ifeval, gpqa:diamond, mmlu_pro |
| Quality concurrent_requests | 16 |
| Quality note | chat_template thinking default **OFF**; no `--reasoning-parser` (answers in `content`) |

## Key findings (throughput)

1. **Peak aggregate decode @ conc=20:** ~1442 sum-of-stream tok/s (wall agg ~1347 tok/s). Scales smoothly with 0 errors.
2. **Single-stream decode:** ~87 tok/s @ conc=1 — slower than MiniCPM5-1B (~200) / Qwen3.5-0.8B (~238) on the same box; closer to Qwen3.5-2B (~106).
3. **Context @ conc=10:** decode falls from ~78 tok/s/stream @ 128-tier to ~41 @ 2048-tier. **4096 tier n/a** (prompt+128 exceeds `max_model_len`), same pattern as Qwen in the small-model dataset.
4. **Serve caveat:** requires Nanbeige vLLM fork + `trust_remote_code`; stock vLLM cannot load `NanbeigeForCausalLM`.

## Concurrency sweep

| conc | TTFT (ms) | mean decode (tok/s) | sum decode (tok/s) | wall agg (tok/s) | err |
|---:|---:|---:|---:|---:|---:|
| 1 | 17.8 | 87.1 | 87.1 | 86.1 | 0 |
| 2 | 25.0 | 86.6 | 173.2 | 169.3 | 0 |
| 4 | 34.4 | 85.2 | 340.8 | 330.6 | 0 |
| 6 | 46.4 | 84.9 | 509.1 | 490.9 | 0 |
| 8 | 63.1 | 84.4 | 675.0 | 645.5 | 0 |
| 10 | 67.4 | 80.4 | 804.0 | 767.5 | 0 |
| 12 | 80.0 | 80.1 | 961.2 | 910.0 | 0 |
| 16 | 87.8 | 78.5 | 1255.5 | 1179.9 | 0 |
| 20 | 109.0 | 72.1 | 1441.9 | 1346.6 | 0 |

## Context sweep

| tier | conc | TTFT (ms) | mean decode (tok/s) | sum decode (tok/s) | wall agg (tok/s) | err |
|---:|---:|---:|---:|---:|---:|---:|
| 128 | 1 | 18.4 | 86.9 | 86.9 | 85.9 | 0 |
| 128 | 10 | 49.4 | 78.2 | 781.8 | 702.3 | 0 |
| 512 | 1 | 19.8 | 85.0 | 85.0 | 80.0 | 0 |
| 512 | 10 | 70.3 | 66.3 | 663.4 | 476.9 | 0 |
| 1024 | 1 | 22.0 | 82.5 | 82.5 | 73.9 | 0 |
| 1024 | 10 | 76.1 | 54.7 | 547.2 | 330.6 | 0 |
| 2048 | 1 | 25.5 | 79.2 | 79.2 | 64.7 | 0 |
| 2048 | 10 | 108.7 | 40.8 | 408.5 | 200.6 | 0 |
| 4096 | 1 | n/a | n/a | n/a | n/a | 1 |
| 4096 | 10 | n/a | n/a | n/a | n/a | 10 |

## Quality (chat_core)

- source: `quality/LostGentoo_Nanbeige4.2-3B-AWQ-W4A16-ASYM/results/openai/LostGentoo/Nanbeige4.2-3B-AWQ-W4A16-ASYM/results_2026-07-22T12-13-40.991373.json`
- wall seconds: 16886.941249988973
- max_samples: None

| task | metric | value |
|---|---|---:|
| `ifeval|0` | prompt_level_strict_acc | 0.7671 |
| `ifeval|0` | inst_level_strict_acc | 0.8417 |
| `ifeval|0` | prompt_level_loose_acc | 0.8281 |
| `ifeval|0` | inst_level_loose_acc | 0.8873 |
| `gpqa:diamond|0` | gpqa_pass@k:k=1 | 0.5859 |
| `mmlu_pro|0` | extractive_match | 0.6577 |

_Quality section updated 2026-07-22T12:14:58_

## Files
## Files

| File | Description |
|---|---|
| `*_scale_conc.json` | Concurrency sweep |
| `*_scale_ctx.json` | Context-length sweep |
| `quality/` | lighteval `chat_core` outputs |
| `SUMMARY.md` | Run log / pass-fail |
| `README.md` | This card |

_Generated 2026-07-22T07:43:40_