Performance claims, data table don't make sense (to me)
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 6.2k
- Forks
- 603
- PR merge metrics
- No merged PRs in 30d
Description
Fara-7B appears to under-perform compared to SoM Agents o3-mini and GPT-4o-0513, and mostly under-performs compared to computer use model OpenAI computer-use-preview. This doesn't seem to match the claim that Fara achieves state-of-the-art results [...] outperforming both comparable-sized models and larger systems. Am I missing something?
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the performance claims and the data table referenced in the issue, focusing on the comparisons among Fara-7B, SoM Agents, GPT-4o-0513, and OpenAI computer-use-preview. Verify the underlying benchmark values and determine whether the table or the claim is inaccurate; done means the discrepancy is explained and the affected content is corrected or clarified.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100