Featurecoding Largelanguagemodel: Large Language Model Evaluation Results

Featurecoding Largelanguagemodel is a dataset containing evaluation results for large language models. The dataset references the lm-evaluation-harness framework and includes results for models such as Qwen3-8B and FalconMamba-7B. It was uploaded by Yoweey and last updated on June 2, 2026.

Use Cases

• Benchmarking model performance based on the referenced evaluation harness.
• Comparing capabilities of different LLM architectures based on the listed models.
• Analyzing the strengths and weaknesses of specific models like Qwen3-8B and FalconMamba-7B.

Strengths

• Dataset references established evaluation frameworks like the lm-evaluation-harness.
• Includes results for specific, named models such as Qwen3-8B and FalconMamba-7B.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Likely generated by evaluating models using the EleutherAI lm-evaluation-harness.

Freshness

Last updated 2026-06-02 11:30:49; freshness should be verified.