locailabs/ultrachat_nemotron_120b

UltraChat Responses (Nemotron-3-Super-120B)

Synthetic general-purpose chat responses generated from UltraChat prompts using Nemotron-3-Super-120B, with the Jupiter (Locai Labs) system prompt.

Splits

How this dataset was made

1. Prompt sourcing

Prompts were sampled from UltraChat, a large-scale multi-turn instruction dataset. A subset of 10k single-turn prompts was used.

2. Response generation

Responses were generated using Nemotron-3-Super-120B via a self-hosted vLLM endpoint, paired with the Jupiter / Locai Labs system prompt (not included in the output messages).

Two variants were generated:

• —no_reasoning: enable_thinking: false in the chat template
• —reasoning: default (thinking enabled), with the model's reasoning trace wrapped in <think>...</think> tags prepended to the assistant message

3. Format

Each row contains a messages list in standard chat format:

[
  {"role": "user", "content": "..."},
  {"role": "assistant", "content": "..."}
]

For the reasoning split, assistant content looks like:

<think>
...reasoning trace...
</think>
...final answer...

Intended use

Fine-tuning / post-training LLMs for general instruction-following with the Jupiter model identity.