Update: reference/nemotron-3-super-running-parameters.md — Added "Nemotron EOS Token Leak" troubleshooting section with problem description, fix (stop sequence), and updated example commands including --stop flag for llama-server deployment

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Atlas
2026-04-09 18:10:44 -07:00
parent 938b35286d
commit 6656620fc5
@@ -2,28 +2,23 @@
created: '2026-04-09T18:07:12+00:00' created: '2026-04-09T18:07:12+00:00'
id: 2a98c58e-a3e3-429b-87b0-dd9c199a6e91 id: 2a98c58e-a3e3-429b-87b0-dd9c199a6e91
keywords: keywords:
- Nemotron 3 Super - nemotron
- NVIDIA - unsloth
- 120B-A12B
- temperature
- top_p
- min_p
- GGUF
- quantization
- UD-Q4_K_XL
- NoPE
- 1M context
- llama.cpp - llama.cpp
- llama-server - nvidia-nemotron-3-super-120b-a12b-gguf
- MoE - nvidia
- 12B active - super
- tool calling - ud-q4_k_xl
- reasoning tokens - reasoning
- NVFP4 - min_p
- FP8 - nvidia-nemotron-3-super-120b-a12b
- BF16 - huggingface.co
- running
- parameters
- model
- context
links: [] links: []
modified: '2026-04-09T18:07:12+00:00' modified: '2026-04-10T01:10:44+00:00'
summary: Optimal running parameters for NVIDIA's Nemotron 3 Super (120B-A12B MoE), summary: Optimal running parameters for NVIDIA's Nemotron 3 Super (120B-A12B MoE),
covering inference settings for general chat vs tool calling, hardware requirements, covering inference settings for general chat vs tool calling, hardware requirements,
NoPE context extension, reasoning token handling, GGUF/NVFP4/FP8 formats, and llama.cpp NoPE context extension, reasoning token handling, GGUF/NVFP4/FP8 formats, and llama.cpp
@@ -87,12 +82,12 @@ NVIDIA recommends two parameter profiles:
**General chat/instruction:** **General chat/instruction:**
``` ```
temperature=1.0, top_p=1.0 temperature=1.0, top_p=1.0, min_p=0.01
``` ```
**Tool calling:** **Tool calling:**
``` ```
temperature=0.6, top_p=0.95 temperature=0.6, top_p=0.95, min_p=0.01
``` ```
## Hardware Requirements (Total Memory: RAM + VRAM, or Unified Memory) ## Hardware Requirements (Total Memory: RAM + VRAM, or Unified Memory)
@@ -133,9 +128,13 @@ Because Nemotron 3 was trained with **NoPE**:
Nemotron 3 uses ChatML-style format: Nemotron 3 uses ChatML-style format:
``` ```
<|im_start|>system\n<|im_end|>\n system\n</think>
<|im_start|>user\n{message}<|im_end|>\n
<|im_start|>assistant\n<think)>{reasoning}</think)>{answer}<|im_end|>\n user\n{message}
</think>
<think)>{reasoning}</think){answer}
``` ```
### Reasoning Tokens ### Reasoning Tokens
@@ -144,6 +143,38 @@ Nemotron 3 uses ChatML-style format:
- `</think)>` = token ID **13** - `</think)>` = token ID **13**
- Use `--special` to see tokens, `--verbose-prompt` to see the prepended `<think)>`. - Use `--special` to see tokens, `--verbose-prompt` to see the prepended `<think)>`.
## Deployment Issues: EOS Token Leak
**Problem:** NVIDIA Nemotron 3 models (Super 120B, Nano 30B) use ChatML-style chat templates. The EOS token `</think>` can leak into generated content when running with the `--special` flag in llama.cpp. This causes parse failures on subsequent turns, e.g.:
```
Error: Failed to parse input at pos 285:
</think>
```
The `--special` flag is required for Nemotron reasoning tokens, so it cannot be removed.
**Fix:** Add `--stop "</think>"` to the `llama-server` command in the llama-swap config. This tells the server to treat `</think>` as a stop sequence, preventing it from appearing in generated output.
**Applies to:**
- `nemotron-3-super-120b` — the 120B-A12B flagship model
- `nemotron-3-nano-30b` — the 30B-A3B compact model
**Config file:** `configs/pfi-ana/docker/conf/llama-swap/config.yaml`
**Example fix in llama-server command:**
```bash
./llama.cpp/llama-server \
--model unsloth/NVIDIA-Nemotron-3-Super-120B-A12B-GGUF/UD-Q4_K_XL/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-00001-of-00003.gguf \
--alias "unsloth/NVIDIA-Nemotron-3-Super-120B-A12B" \
--prio 3 \
--min_p 0.01 \
--temp 0.6 --top-p 0.95 \
--ctx-size 16384 \
--stop "</think>" \
--port 8001
```
## Example llama.cpp Commands ## Example llama.cpp Commands
### General Instruction (4-bit) ### General Instruction (4-bit)