A fast inference library for running LLMs locally on modern consumer-class GPUs - turboderp-org/exllamav2
While "ExLlamaV2" is not explicitly mentioned in the provided social mentions and reviews, the context around software development and tools highlights the strengths of integration with platforms like GitHub Copilot for efficient coding and workflow enhancements. Users generally appreciate tools that streamline processes and incorporate advanced features for complex tasks. The evolving nature of billing models, like the move to usage-based pricing for GitHub Copilot, indicates mixed feelings about pricing, with some users potentially wary of increased costs. Overall, software tools that improve developer productivity and offer seamless integration tend to have a positive reputation, though concerns around pricing changes can impact user sentiment.
Mentions (30d)
35
6 this week
Reviews
0
Platforms
2
GitHub Stars
4,538
337 forks
While "ExLlamaV2" is not explicitly mentioned in the provided social mentions and reviews, the context around software development and tools highlights the strengths of integration with platforms like GitHub Copilot for efficient coding and workflow enhancements. Users generally appreciate tools that streamline processes and incorporate advanced features for complex tasks. The evolving nature of billing models, like the move to usage-based pricing for GitHub Copilot, indicates mixed feelings about pricing, with some users potentially wary of increased costs. Overall, software tools that improve developer productivity and offer seamless integration tend to have a positive reputation, though concerns around pricing changes can impact user sentiment.
Features
Use Cases
Industry
information technology & services
Employees
6,200
Funding Stage
Other
Total Funding
$7.9B
4,538
GitHub stars
20
HuggingFace models
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely
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🆕 @AnthropicAI's Claude Opus 4.8 is now generally available and rolling out in GitHub Copilot. Early testing shows: • It demonstrates a clear step forward in code understanding and generation across a range of real-world coding tasks. • It handles complex problem-solving and https://t.co/dMkLFeEtNp
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View originalRT @shanselman: Trying the new @github App on my workflow https://t.co/hh8KiA5ztj
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View originalRT @acolombiadev: Got nerd-sniped by @cassidoo's magnatile clustering algorithm. I fed the blog post to the new GitHub Copilot app and watc…
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View originalYou may be missing out on these helpful slash commands in GitHub Copilot CLI. 💡 https://t.co/68bGf3GSFk
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View original📣 Join us for a special Maintainer AMA in our GitHub Community tomorrow, May 27, from 8 a.m. to 1 p.m. PT. Ask your favorite projects like OpenClaw, Kubernetes, and more for advice on contributing an
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View originalThere's more to making a game than the engine. 🎮 Check out 10 open-source projects helping developers with art, audio, animation, level design, and more. https://t.co/wlJV8OMWLP
There's more to making a game than the engine. 🎮 Check out 10 open-source projects helping developers with art, audio, animation, level design, and more. https://t.co/wlJV8OMWLP
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View originalRT @moraes_c_: drowning in low-quality PRs? we're giving maintainers the power to set contribution limits, starting with a PR cap for outs…
RT @moraes_c_: drowning in low-quality PRs? we're giving maintainers the power to set contribution limits, starting with a PR cap for outs…
View original4/ We continue to analyze logs, validate secret rotation, and monitor for any follow-on activity. We will take additional action as the investigation warrants.
4/ We continue to analyze logs, validate secret rotation, and monitor for any follow-on activity. We will take additional action as the investigation warrants.
View original3/ We moved quickly to reduce risk. Critical secrets were rotated yesterday and overnight with the highest-impact credentials prioritized first.
3/ We moved quickly to reduce risk. Critical secrets were rotated yesterday and overnight with the highest-impact credentials prioritized first.
View original5/ We will publish a fuller report once the investigation is complete.
5/ We will publish a fuller report once the investigation is complete.
View originalRepository Audit Available
Deep analysis of turboderp/exllamav2 — architecture, costs, security, dependencies & more
ExLlamaV2 uses a tiered pricing model. Visit their website for current pricing details.
Key features include: New generator with dynamic batching, smart prompt caching, K/V cache deduplication and simplified API, Uh oh!, Method 1: Install from source, Method 2: Install from release (with prebuilt extension), Method 3: Install from PyPI, Conversion, Evaluation, Community.
ExLlamaV2 is commonly used for: Running large language models locally on consumer-grade hardware, Integrating with existing machine learning workflows for inference tasks, Developing and testing AI applications without relying on cloud services, Creating custom AI solutions for specific business needs, Optimizing model performance with dynamic batching and caching, Conducting research and experimentation with LLMs in a controlled environment.
ExLlamaV2 integrates with: TabbyAPI for OpenAI-compatible API access, Hugging Face Transformers for model compatibility, Docker for containerized deployments, TensorFlow for additional model support, PyTorch for deep learning framework integration, FastAPI for building web applications, Flask for lightweight web services, Streamlit for creating interactive applications, Kubernetes for orchestration of deployments, Jupyter Notebooks for interactive development.
ExLlamaV2 has a public GitHub repository with 4,538 stars.
Based on user reviews and social mentions, the most common pain points are: down, critical, breaking.
Based on 117 social mentions analyzed, 5% of sentiment is positive, 95% neutral, and 0% negative.