Speculative Decoding: The Free Speed Toggle Your Local LLM Is Probably Not Using
Software & Tools Speculative Decoding, Explained: The Free Speed Toggle Your Local LLM Is Probably Not Using A draft model guesses, the big model verifies in one parallel pass, and the output is provably identical. How speculative decoding works, the 2026 MTP shift, and the measured case where it makes things slower. Thomas Newkirk July 25, 2026 7 min read There is a setting in LM Studio and llama.cpp that can make a local model generate 1.5 to 2.5 times faster without changing a single word of its output.
- ▪Software & Tools Speculative Decoding, Explained: The Free Speed Toggle Your Local LLM Is Probably Not Using A draft model guesses, the big model verifies in one parallel pass, and the output is provably identical.
- ▪How speculative decoding works, the 2026 MTP shift, and the measured case where it makes things slower.
- ▪Thomas Newkirk July 25, 2026 7 min read There is a setting in LM Studio and llama.cpp that can make a local model generate 1.5 to 2.5 times faster without changing a single word of its output.
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| Original publisher | Vetted Consumer |
| Canonical URL | https://vettedconsumer.com/speculative-decoding-explained-the-free-speed-toggle-your-local-llm-is-probably-not-using/ |
| Publication time | Sat, 25 Jul 2026 03:28:44 +0000 |
| Retrieval time | 2026-07-25T03:45:19.548Z |
| Last seen | 2026-07-25T03:45:19.548Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 5wc_yvu65SM8 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Software & Tools Speculative Decoding, Explained: The Free Speed Toggle Your Local LLM Is Probably Not Using A draft model guesses, the big model verifies in one parallel pass, and the output is provably identical. How speculative decoding works, the 2026 MTP shift, and the measured case where it makes things slower. Thomas Newkirk July 25, 2026 7 min read There is a setting in LM Studio and llama.cpp that can make a local model generate 1.5 to 2.5 times faster without changing a single word of its output. Not a lower quant, not a smaller model, the same model producing mathematically identical answers, faster. Most people leave it off, and the people who turn it on often pair it wrong and make things slower.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Vetted Consumer.
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