Comparison
codellama vs ggrun
Verdict
Pick codellama if codellama offers an open-source inference framework for CodeLlama models using Python; pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Markdown twin · codellama alternatives · ggrun alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | codellama | ggrun |
|---|---|---|
| Maintenance | Archived (722d since push) As of 2w · github_public_v1 | Very active (1d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- codellama
- Inference code for CodeLlama models
- ggrun
- Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server
Stars
- codellama
- 16k
- ggrun
- 264
Forks
- codellama
- 1.9k
- ggrun
- 14
Open issues
- codellama
- 116
- ggrun
- 1
Language
- codellama
- Python
- ggrun
- Go
Adopt for
- codellama
- codellama offers an open-source inference framework for CodeLlama models using Python.
- ggrun
- ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Persona
- codellama
- -
- ggrun
- -
Runtime
- codellama
- -
- ggrun
- -
License
- codellama
- Other
- ggrun
- MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.
Last pushed
- codellama
- Aug 12, 2024
- ggrun
- Aug 11, 2026
Categories
- codellama
- Inference & Serving
- ggrun
- Inference & Serving
Trust and health
Maintenance
- codellama
- Archived (8%)
- ggrun
- Very active (96%)
Days since push
- codellama
- 722d
- ggrun
- 1d
Archived on GitHub
- codellama
- Yes
- ggrun
- No
Open issues (now)
- codellama
- 116
- ggrun
- 1
Owner type
- codellama
- Organization
- ggrun
- User
OSV dependency advisories
- codellama
- No published findings from this source as of 2026-07-11
- ggrun
- No lockfile (source not queried)
Full report
- codellama
- Trust report
- ggrun
- Trust report
Choose codellama if…
- codellama is primarily Python; ggrun is Go.
- License: codellama is Other, ggrun is MIT.
- Pricing: codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required..
- Requirements: Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama..
- Tags unique to codellama: codellama, inference, python.
- If you need to work with the CodeLlama models specifically and benefit from their specialized capabilities in coding tasks, codellama provides tailored support that may outperform generic solutions.
When NOT to use codellama
- If you are working on projects that do not align with CodeLlama's acceptable use policy or require compliance with specific industry standards beyond what codellama offers.
- For tasks that demand a different primary programming language other than Python, as codellama is primarily developed around the Python ecosystem.
Choose ggrun if…
- ggrun is primarily Go; codellama is Python.
- License: ggrun is MIT, codellama is Other.
- Pricing: Free to use under MIT license; no direct costs involved in usage..
- Tags unique to ggrun: cuda, gguf, golang, inference-server.
- When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs
When NOT to use ggrun
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
- When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (meta-llama/codellama) · observed Aug 5, 2026
- GitHub forks (meta-llama/codellama) · observed Aug 5, 2026
- Last push (meta-llama/codellama) · observed Aug 12, 2024
- License file (Other) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raketenkater/ggrun) · observed Aug 13, 2026
- GitHub forks (raketenkater/ggrun) · observed Aug 13, 2026
- Last push (raketenkater/ggrun) · observed Aug 11, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: codellama 16k · ggrun 264 (synced Aug 5, 2026).
Common questions
- What is the difference between codellama and ggrun?
- codellama: Inference code for CodeLlama models. ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. See the comparison table for live GitHub stats and shared categories.
- When should I choose codellama over ggrun?
- Choose codellama over ggrun when codellama is primarily Python; ggrun is Go; License: codellama is Other, ggrun is MIT; Pricing: codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required.; Requirements: Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama.; Tags unique to codellama: codellama, inference, python; If you need to work with the CodeLlama models specifically and benefit from their specialized capabilities in coding tasks, codellama provides tailored support that may outperform generic solutions.
- When should I choose ggrun over codellama?
- Choose ggrun over codellama when ggrun is primarily Go; codellama is Python; License: ggrun is MIT, codellama is Other; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
- When should I avoid codellama?
- If you are working on projects that do not align with CodeLlama's acceptable use policy or require compliance with specific industry standards beyond what codellama offers. For tasks that demand a different primary programming language other than Python, as codellama is primarily developed around the Python ecosystem.
- When should I avoid ggrun?
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
- Is codellama or ggrun more popular on GitHub?
- codellama has more GitHub stars (16,280 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are codellama and ggrun open source?
- Yes - both are open-source projects on GitHub (codellama: Other, ggrun: MIT).
- Where can I find alternatives to codellama or ggrun?
- GraphCanon lists graph-backed alternatives at codellama alternatives and ggrun alternatives (codellama markdown twin, ggrun 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, codellama or ggrun?
- codellama: Archived. ggrun: Very active. 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 codellama and ggrun?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codellama trust report; ggrun trust report.