RTX 6000 Pro Wiki — Running Large LLMs (Qwen3.5-397B, Kimi-K2.5, GLM-5) on PCIe GPUs without NVLink
C-Rank Grade: B (Solid) - 50/100
External PR Merge Rate: 43%
Response Time: 13h
First Timer Success: 33%
local-inference-lab/rtx6kpro has a recorded first-timer success rate of 33.3%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in local-inference-lab/rtx6kpro respond to incoming external pull requests in approximately 12.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 49.6 places local-inference-lab/rtx6kpro in the B tier.
The external contributor pull request merge rate for local-inference-lab/rtx6kpro is 43.5%, based on public PR activity from non-core contributors.
local-inference-lab/rtx6kpro does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.
Rigorous architecture standards (66% critical review signals). Ensure PRs strictly follow guidelines before requesting review in local-inference-lab/rtx6kpro.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/local-inference-lab/rtx6kpro?utm_source=github&utm_medium=badge)
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 15:00 UTC (15:00 UTC in your timezone). Recommended submission window is Wednesday - Friday from 13:00 to 17:00 UTC (13:00 - 17:00 UTC local).
Limited recent maintainer review activity recorded for this repository. Prediction based on heuristic baseline.
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No cached good first issues currently tracked for local-inference-lab/rtx6kpro.
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When evaluating whether to contribute to local-inference-lab/rtx6kpro, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of local-inference-lab/rtx6kpro acknowledge new external contributions in approximately 12 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 43.5% were successfully merged into the primary branch.
local-inference-lab/rtx6kpro has a recorded first-timer success rate of 33.3%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~12 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 49.6 places local-inference-lab/rtx6kpro in the Solid tier.
The external pull request merge rate is 43.5%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
local-inference-lab/rtx6kpro does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.
All metrics displayed for local-inference-lab/rtx6kpro are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.