Comparison
lm-evaluation-harness vs hallucination-index
Verdict
Pick lm-evaluation-harness if lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend; pick hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
Markdown twin · lm-evaluation-harness alternatives · hallucination-index alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | lm-evaluation-harness | hallucination-index |
|---|---|---|
| Maintenance | Active (24d since push) As of 2w · github_public_v1 | Dormant (365d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- lm-evaluation-harness
- A framework for few-shot evaluation of language models.
- hallucination-index
- Initiative to evaluate and rank popular LLMs based on hallucination propensity
Stars
- lm-evaluation-harness
- 14k
- hallucination-index
- 116
Forks
- lm-evaluation-harness
- 3.5k
- hallucination-index
- 8
Open issues
- lm-evaluation-harness
- 938
- hallucination-index
- 1
Language
- lm-evaluation-harness
- Python
- hallucination-index
- -
Adopt for
- lm-evaluation-harness
- lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend.
- hallucination-index
- Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
Persona
- lm-evaluation-harness
- -
- hallucination-index
- -
Runtime
- lm-evaluation-harness
- -
- hallucination-index
- -
License
- lm-evaluation-harness
- MIT
- hallucination-index
- -
Last pushed
- lm-evaluation-harness
- Jul 13, 2026
- hallucination-index
- Jul 28, 2025
Categories
- lm-evaluation-harness
- Evaluation & Observability
- hallucination-index
- Evaluation & Observability
Trust and health
Maintenance
- lm-evaluation-harness
- Active (82%)
- hallucination-index
- Dormant (18%)
Days since push
- lm-evaluation-harness
- 24d
- hallucination-index
- 365d
Open issues (now)
- lm-evaluation-harness
- 938
- hallucination-index
- 1
Full report
- lm-evaluation-harness
- Trust report
- hallucination-index
- Trust report
Choose lm-evaluation-harness if…
- Tags unique to lm-evaluation-harness: data-parallelism, evaluation-framework, expert-parallelism, language-model.
- - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
- More GitHub stars (14k vs 116) - visibility, not fit.
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Choose hallucination-index if…
- Tags unique to hallucination-index: hallucinations, large language models, llm-evaluation, openai.
- Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios.
- Leaner open-issue backlog (1).
When NOT to use hallucination-index
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance.
- Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (EleutherAI/lm-evaluation-harness) · observed Aug 7, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Aug 7, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Jul 13, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rungalileo/hallucination-index) · observed Jul 29, 2026
- GitHub forks (rungalileo/hallucination-index) · observed Jul 29, 2026
- Last push (rungalileo/hallucination-index) · observed Jul 28, 2025
- License file (unknown) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lm-evaluation-harness 14k · hallucination-index 116 (synced Aug 7, 2026).
Common questions
- What is the difference between lm-evaluation-harness and hallucination-index?
- lm-evaluation-harness: A framework for few-shot evaluation of language models.. hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. See the comparison table for live GitHub stats and shared categories.
- When should I choose lm-evaluation-harness over hallucination-index?
- Choose lm-evaluation-harness over hallucination-index when Tags unique to lm-evaluation-harness: data-parallelism, evaluation-framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations; More GitHub stars (14k vs 116) - visibility, not fit.
- When should I choose hallucination-index over lm-evaluation-harness?
- Choose hallucination-index over lm-evaluation-harness when Tags unique to hallucination-index: hallucinations, large language models, llm-evaluation, openai; Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios; Leaner open-issue backlog (1).
- When should I avoid lm-evaluation-harness?
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
- When should I avoid hallucination-index?
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
- Is lm-evaluation-harness or hallucination-index more popular on GitHub?
- lm-evaluation-harness has more GitHub stars (13,560 vs 116). Stars measure visibility, not whether either tool fits your constraints.
- Are lm-evaluation-harness and hallucination-index open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to lm-evaluation-harness or hallucination-index?
- GraphCanon lists graph-backed alternatives at lm-evaluation-harness alternatives and hallucination-index alternatives (lm-evaluation-harness markdown twin, hallucination-index markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, lm-evaluation-harness or hallucination-index?
- lm-evaluation-harness: Active. hallucination-index: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for lm-evaluation-harness and hallucination-index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lm-evaluation-harness trust report; hallucination-index trust report.