Home/Models/open_llama_7b
Meta logo

open_llama_7b

by Meta · Released Jan 2024

Open Source
30.0
avg score
Rank #249
Compare
Better than 20% of all models
Context
N/A
Input $/1M
n/a
Output $/1M
n/a
Type
text
License
Open Source
Benchmarks
6 tested
Data as of
About

Tested on 6 benchmarks · BenchGecko score 30.0. Top scores: HellaSwag (62.4%), PIQA (52.0%), Winogrande (34.0%).

Capabilities
knowledge
32.0
#238 globally
Benchmark Scores
Compare All
Tested on 6 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
HellaSwag

Sentence completion requiring commonsense reasoning about physical and social situations. Tests real-world understanding.

62.4·
PIQA

Physical Intuition QA. Tests understanding of everyday physical interactions and commonsense physics.

52.0·
Winogrande

Commonsense coreference resolution. Tests understanding of pronoun references in ambiguous sentences.

34.0·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
open-llama-7b
Specifications
  • Typetext
  • ContextN/A
  • ReleasedJan 2024
  • LicenseOpen Source
  • Statusbenchmark-only
Available On
Meta logoMetan/a
Categories
Share & Export
Tweet
open_llama_7b is an open-source text AI model by Meta, released in January 2024. It has an average benchmark score of 30.0.

Key facts · as of 2026-06-22

  • open_llama_7b by Meta. BenchGecko score 30.0, rank 249 of 312 scored models (normalized average of public benchmark scores).
  • List price n/a input · n/a output per 1M tokens (as of 2026-06-22).

How to cite · data as of 2026-06-22

open_llama_7b · benchmarks, pricing and providers. BenchGecko, data as of 2026-06-22. https://benchgecko.ai/model/open-llama-7b

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP