ZachW/llama-3.1-8b-instruct_ifeval

---
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
tags:
- llm-outputs
- creativity
- micro-creativity
pretty_name: "meta-llama/Llama-3.1-8B-Instruct on ifeval"
dataset_info:
num_rows: 541
---

# meta-llama/Llama-3.1-8B-Instruct — ifeval

Model outputs from the **micro-creativity** inference suite.

- **Model**: `meta-llama/Llama-3.1-8B-Instruct`
- **Dataset**: `ifeval` (541 items)
- **Part of collection**: [ZachW/llm-creativity-benchmarks](https://huggingface.co/collections/ZachW/llm-creativity-benchmarks)

## Generation config

```
temperature: 0.0
max_tokens: 16384
seed: 42
backend: vllm
```

## Columns

| Column | Description |
|--------|-------------|
| `task_id` | Unique task identifier |
| `input` | The exact prompt sent to the model (after meta-prompt application) |
| `raw_output` | Full model output string |
| `thinking_content` | Extracted chain-of-thought / thinking block (null for non-thinking models) |
| `final_answer` | Extracted final answer after thinking is removed |
| `finish_reason` | `stop` (completed) or `length` (truncated at max_tokens) |
| `prompt_tokens` | Number of tokens in the prompt |
| `completion_tokens` | Number of tokens generated |
| `temperature` | Sampling temperature used |
| `max_tokens` | Token generation limit |