DS4 by antirez
Hacker ApprovedRanked 4 of 27 local LLM runners by recommenders
Runs DeepSeek V4 Flash on home hardware like Macs, with well-made quants and quality some find close to Claude, though it's slow and its reasoning can derail.
Runs DeepSeek V4 Flash on home hardware like Macs, with well-made quants and quality some find close to Claude, though it's slow and its reasoning can derail.
129 people gave an opinion
- recommend it
- 109
- criticize it
- 20
- approval share
- 84%
Recommended in 7 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: recommended (month in progress)
Owned for 1 month
Median of the 3 owners who said how long they have had it.
Each square is one year.
Why it carries the badge
- 109 people recommend itNeeds 10 or more, met.
- 5.5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 7 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Runs strong model on local hardware
“I can run DSv4 Flash on a pair of DGX Sparks and have enough memory left over for 3M tokens of KV cache”
Comment from 9 Jul 2026 in “Hy3” “pretty painless, model runs in about 80GB of RAM and it seemed to be very capable at writing code”
Comment from 14 May 2026 in “A Few Words on DS4” “I've been running Deepseek V4 Flash locally on my Macbook Pro for weeks using Open WebUI + DS4.”
Comment from 20 Jul 2026 in “Nativ: Run frontier open models locally on your Mac” - Comment from 23 May 2026 in “Was my $48K GPU server worth it?”
- Comment from 14 May 2026 in “A Few Words on DS4”
- Comment from 15 May 2026 in “A Few Words on DS4”
- Comment from 5 Jun 2026 in “Redis 8.8: New array data structure, rate limiter, performance improvements”
- Comment from 22 Jun 2026 in “GLM 5.2 vs. Opus”
Near frontier-model quality
“the value of human ingenuity coupled with a model like DS4.1 is technically enough to get most people to where they want to go”
Comment from 1 Nov 2026 in “Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard” “It’s shocking how close this feels to claude, obviously it's much slower, but I don’t know that it’s significantly dumber.”
Comment from 15 May 2026 in “A Few Words on DS4” “It definitely seems to be the leader on 'general intelligence' on this hardware from my casual usage”
Comment from 10 Jul 2026 in “Hands-On with the AMD Ryzen AI Halo” - Comment from 27 Aug 2026 in “RAG Is Simpler Than You Think”
- Comment from 15 Jun 2026 in “Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?”
- Comment from 6 Aug 2026 in “Qwen3.8 Max now ranked as the best overall model by agentic index”
- Comment from 26 Aug 2026 in “GLM-5.3-Flash”
- Comment from 19 May 2026 in “Benedict Evans: AI eats the world (Spring 26) [pdf]”
High-quality low-bit quants
“the quality of the 2bit quants antirez has provided have been validated by folks like ggernov of llama.cpp project”
Comment from 26 Jun 2026 in “Apple announces significant price increases for MacBooks, iPads, more” “DS4-flash does, as previously mentioned, handle quantization very well. Even at 2-bit it's still very coherent.”
Comment from 9 Jul 2026 in “Hy3” “the ux of ds4 is fantastic too -- it's dead-easy to get a known-good model, great quant”
Comment from 15 May 2026 in “A Few Words on DS4” - Comment from 4 Oct 2026 in “Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s”
Easy setup and good UX
“I immediately knew what it was, what it required, and it provided the download links right there.”
Comment from 3 Oct 2026 in “From the creator of Redis; run LLM locally with ds4” “pretty painless, model runs in about 80GB of RAM and it seemed to be very capable at writing code”
Comment from 14 May 2026 in “A Few Words on DS4” “It worked, the change I had to do was also minimal for the compilation of the .cu unit.”
Comment from 4 Oct 2026 in “From the creator of Redis; run LLM locally with ds4” - Comment from 15 May 2026 in “A Few Words on DS4”
What people warn about
Each mark is one comment
Slow generation and prefill
“A little slower than frontier models but my $200/mo weekly usage exhausted with 3 days left on the week”
Comment from 15 Jun 2026 in “Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?” “DS4 (a 1-bit quantization of DeepSeek V4 Flash) runs at something like 9-13 tokens/second”
Comment from 6 Jul 2026 in “AMD Ryzen AI Halo – $4k AI Dev Kit” “it tops out at something like 10 or 11 with a long time to first response”
Comment from 23 Jun 2026 in “Unsloth GLM-5.2 – How to Run Locally” - Comment from 14 May 2026 in “A Few Words on DS4”
- Comment from 29 Sep 2026 in “GLM-5.3 and the spread of advanced cyber capabilities”
Reasoning loops or goes off-track
“it's _good_ at some tasks, but it really just spins its wheels when it hits the limit of what it can reason through”
Comment from 26 Aug 2026 in “GLM-5.3-Flash” “it often builds a completely wrong mental model and charges off down the wrong path”
Comment from 10 Jul 2026 in “Hy3” “I wasn't always a fan of what it came up with when asked to plan something.”
Comment from 28 Aug 2026 in “GLM-5.3 is now open-weight” - Comment from 26 Aug 2026 in “GLM-5.3-Flash”
- Comment from 15 May 2026 in “A Few Words on DS4”
- Comment from 16 Jun 2026 in “Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?”
Context and memory limits
“you'll have a context limit of about 64k, which is also prohibitive for serious work”
Comment from 8 Jun 2026 in “DeepSeek V4 Pro beats GPT-5.5 Pro on precision” “It was like 50GB instead of 5GB for context, and it wasn't fixed for weeks”
Comment from 30 Sep 2026 in “Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents”
Other local LLM runners people recommend
The four most recommended other local LLM runners, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| llama.cpp | 471 | 109 | 81% | 13 | 1 yr4 owners | Approved |
| Ollama | 350 | 247 | 59% | 12 | 1.5 yrs8 owners | — |
| LM Studio | 217 | 74 | 75% | 12 | 3 yrs4 owners | Approved |
| DS4 by antirezThis page | 109 | 20 | 84% | 7 | 1 mo3 owners | Approved |
| Unsloth Studio | 94 | 27 | 78% | 11 | — | Approved |
What people said
40 of the 188 comments that mention it, newest first. Each links to the original comment.
“the value of human ingenuity coupled with a model like DS4.1 is technically enough to get most people to where they want to go”
“The ds4 q4 quant performs a lot better than other similar sizes that I've seen.”
“It worked, the change I had to do was also minimal for the compilation of the .cu unit.”
“I immediately knew what it was, what it required, and it provided the download links right there.”
“It was like 50GB instead of 5GB for context, and it wasn't fixed for weeks”
“Getting DS4 to run at a reasonable speed was pretty tricky”
“I wasn't always a fan of what it came up with when asked to plan something.”
“the capabilities of models like DS4 Flash are those of frontier models from months ago”
“it works perfectly fine as a replacement for Claude in a large variety of cases”
“It will literally have the right approach and reason itself away from it.”
“it's _good_ at some tasks, but it really just spins its wheels when it hits the limit of what it can reason through”
“There are more focused frameworks like DS4 and Colibri which have better support for streaming weights from disk”
“indistinguishable for me from Opus for my personal daily use/assistant benchmarks”
“his 4 bit quant does have decent accuracy, but is a bit pointless by being bigger than the full precision MXFP4 quant”
“I've been running Deepseek V4 Flash locally on my Macbook Pro for weeks using Open WebUI + DS4.”
“the model literally talks itself out of giving the cached wrong answer with a latent only thinking budget”
“The DS4 repo is a really interesting place to watch folks who heavily code with agents collaborate together in a way that seems pretty effective.”
“It definitely seems to be the leader on 'general intelligence' on this hardware from my casual usage”
“it often builds a completely wrong mental model and charges off down the wrong path”
“DS4-flash does, as previously mentioned, handle quantization very well. Even at 2-bit it's still very coherent.”
“I can run DSv4 Flash on a pair of DGX Sparks and have enough memory left over for 3M tokens of KV cache”
“DS4 (a 1-bit quantization of DeepSeek V4 Flash) runs at something like 9-13 tokens/second”
“the quality of the 2bit quants antirez has provided have been validated by folks like ggernov of llama.cpp project”
“it tops out at something like 10 or 11 with a long time to first response”
“antirez DS4 build that made that actually runnable on MacBooks and Mac Studios”
“there are local inference configurations that allow with that cost to run sufficiently powerful models with huge contexts”
“it loops and over thinks even more, burning massive walk clock time”
“A little slower than frontier models but my $200/mo weekly usage exhausted with 3 days left on the week”
“This is probably as close to it gets to state-of-the-art local LLM + agentic coding.”
“you'll have a context limit of about 64k, which is also prohibitive for serious work”
“allowing for SOTA inference (DeepSeek V4 Flash and Pro!) on RAM-limited machines”
“one can use just one system to a very, very decent speed and ttft for chat inference”
“Even at 2-bit quantization, DS4 is probably on par with a 2024 frontier model.”
“it was behaving quite poorly after a few agentic turns with opencode”
“the ux of ds4 is fantastic too -- it's dead-easy to get a known-good model, great quant”
“DS4 is hosting the DeepSeek v4 Flash model with good performance on home hardware”
“It’s shocking how close this feels to claude, obviously it's much slower, but I don’t know that it’s significantly dumber.”
“it's the only way I've actually managed to run DeepSeek flash on my local hardware”
“31t/s prefill is basically unusable in an agentic situation”
“pretty painless, model runs in about 80GB of RAM and it seemed to be very capable at writing code”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.