---
title: NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics
canonical_url: "https://www.modelscope.cn/datasets/AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics"
md_url: "https://www.modelscope.cn/datasets/AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics.md"
repository: AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics
last_updated: 2026-10-24
license: other
storage_size: "11 MB"
downloads: 101
stars: 0
---

# NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics

> NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics - AtomicChat 在 ModelScope 开源的数据集。NVIDIA Nemotron 3.5 Bolt E4B GGUF: metrics

AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics 是 ModelScope 魔搭社区上的数据集，存储大小 11 MB，采用 other 许可。

- **Repository**: AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics
- **License**: other
- **Storage size**: 11 MB
- **Downloads**: 101
- **Stars**: 0
- **Last updated**: 2026-10-24

Source: https://www.modelscope.cn/datasets/AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF-metrics

---

# NVIDIA Nemotron 3.5 Bolt E4B GGUF: metrics

Everything behind the numbers in
[AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF](https://huggingface.co/AtomicChat/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF):
the importance matrix, the per-tensor type rules of every file, and the quantize and KL divergence logs.

Stand: BF16 reference converted with upstream llama.cpp 36e36e63; KL divergence and top-1 agreement against it on
24 chunks of 4096 tokens of `eval_neutral` (30 languages, never used for calibration) from
[AtomicChat/calib-corpora](https://huggingface.co/datasets/AtomicChat/calib-corpora); every file, ours and other
publishers', run with the same reference, text and build on one A100 40GB.

| Folder | What is in it |
| --- | --- |
| `imatrix/imatrix.gguf` | Our importance matrix: BF16 weights, 9,377 chunks of 512 tokens of the `nemotron-bolt-e4b` corpus (rendered through this model's chat template), `--parse-special` |
| `fast/` | The first release-day build (layout v1, Unsloth's published imatrix): ladder rules, quantize logs, `kld.md` with our files and Unsloth's, LM Studio's and NVIDIA's on the same stand |
| `v2/` | Layout experiments at the Q4 point (head or per-layer table back at q8_0, the whole FFN one step up) and the v2 ladder |
| `v3/` | The published layout (attention one or two steps up): ladder rules, quantize and KLD logs with Unsloth's and our imatrix, and the held-out code check |

Which imatrix each published file uses: `AD-Q4_K_M` ours; `AD-Q5_K_M`, `AD-IQ4_XS`, `AD-IQ3_S` Unsloth's
published one; `AD-Q6_K` (layout v1) Unsloth's as well; `Q8_0` uses none. The type of every tensor of a file is in the
`.types` file of its rung under `ladder/` (the first rule that matches a tensor wins).