ExLlamaV2 — alternative #1 to ExLlama
A fast inference library for running LLMs locally on modern consumer-class GPUs | GPTQ/EXL2 | GPU | ❌ | Python/C++ | Text-Gen
Search tools, jump to categories, and open key destinations
Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
A fast inference library for running LLMs locally on modern consumer-class GPUs | GPTQ/EXL2 | GPU | ❌ | Python/C++ | Text-Gen
Lord of Large Language Models Web User Interface. | Nearly ALL | Both | ✅ | Python | Text-Gen
Kubernetes-native GPU scheduler for AI workloads at large scale. Originally developed by Run:ai, now open-sourced by NVIDIA. Optimizes GPU r...
3-5x higher throughput than vLLM (Control flow, RadixAttention, KV cache reuse) | Safetensor / AWQ / GPTQ | GPU | ❌ | Python | Text-Gen
go - This is a Go implementation of jieba which a Chinese word splitting algorithm.
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with ExLlama directly — Oryxen records pricing classes, not live quotes.