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orab6fd | LocalLLaMA | 1u3r8ak | or8xq3j | 1 | devildip | 1,781,291,887 | they are all the drop from llmfan46 | 1 | null | null | 1,789,194,838 | batch-priority-2026-summer |
orafjhq | LocalLLaMA | 1u3r8ak | or7hxrh | 3 | devildip | 1,781,293,106 | yeah reading it back this morning, i had a typo. It was supposed to be
* Gemma 4 12B Heretic Q4: \~22 t/s → \~35-54 t/s
| 1 | null | null | 1,789,194,838 | batch-priority-2026-summer |
orafsml | LocalLLaMA | 1u3r8ak | or7o1mu | 1 | devildip | 1,781,293,178 | Not with my testing. The 26b q8 nearly doubled in decode tokens. It saw the largest improvement. However, the 26b q4 gain was pretty minimal. | 1 | null | null | 1,789,194,838 | batch-priority-2026-summer |
orajcf7 | LocalLLaMA | 1u3r8ak | 1u3r8ak | 0 | LEFBE | 1,781,294,182 | Please note that, depending on your server you use and the version, llama.cpp, mlx-vlm etc... some issue are already open for MTP integration or KV cache corruption etc ...(I've open 2 just for mlx-vlm).
I've done tons of testing and I'm still discovering bugs.
Gemma 4 worked everywhere with MTP, except for one mod... | 3 | null | null | 1,789,194,838 | batch-priority-2026-summer |
oratq8t | LocalLLaMA | 1u3r8ak | ora80rz | 2 | Phenerius | 1,781,297,168 | Thank you, i'm going to try it out. | 1 | null | null | 1,789,194,838 | batch-priority-2026-summer |
orbc50v | LocalLLaMA | 1u3r8ak | 1u3r8ak | 0 | L0stInHe11 | 1,781,302,810 | The fastest drafter for Gemma 4 I have found is https://huggingface.co/RachidAR/gemma-4-26B-A4B-it-qat-assistant-q4_0-gguf/blob/main/gemma-4-26b-A4B-it-assistant-Q4_0-q4emb.gguf
OP you can give it a try | 1 | null | null | 1,789,194,838 | batch-priority-2026-summer |
or7f2xo | LocalLLaMA | 1u3rtkw | 1u3rtkw | 0 | [deleted] | 1,781,261,902 | [deleted] | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u3rtkw/non_coder_i_just_made_my_first_custom_module_for/or7f2xo/ | 1,789,194,873 | batch-priority-2026-summer |
or7hg5x | LocalLLaMA | 1u3rtkw | or7f2xo | 1 | hugo-the-second | 1,781,262,882 | non coder was right in the title, bro.
I get you desire to only read content by people who know how to code.
Other people might have different preferences. I know I do.
As soon as reddit introduces a flag that lets you filter out postings like mine, I'm happy to use it. | 0 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u3rtkw/non_coder_i_just_made_my_first_custom_module_for/or7hg5x/ | 1,789,194,873 | batch-priority-2026-summer |
or7gze0 | LocalLLaMA | 1u3sad0 | 1u3sad0 | 0 | AutoModerator | 1,781,262,692 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
I am a bot, and this action was performed automa... | 1 | null | /r/LocalLLaMA/comments/1u3sad0/comment/or7gze0/ | 1,789,194,840 | batch-priority-2026-summer |
or88zdo | LocalLLaMA | 1u3t05l | 1u3t05l | 0 | FreeSammiches | 1,781,272,100 | How much memory does the NPU have access to on a 64GB system? I have a 32GB X elite and the NPU is only able to address 16GB. | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/or88zdo/ | 1,789,194,838 | batch-priority-2026-summer |
or89usl | LocalLLaMA | 1u3t05l | or88zdo | 1 | No_Draft_8756 | 1,781,272,331 | I think it is 32gb | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/or89usl/ | 1,789,194,838 | batch-priority-2026-summer |
or89x58 | LocalLLaMA | 1u3t05l | or88zdo | 1 | No_Draft_8756 | 1,781,272,349 | Have you tried running some Llms on it? | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/or89x58/ | 1,789,194,838 | batch-priority-2026-summer |
or90joz | LocalLLaMA | 1u3t05l | or89x58 | 2 | FreeSammiches | 1,781,279,312 | AnythingLLM is the most user friendly platform I've found that will use the NPU out of the box, but the selection is rather limited. With 32 GB of addressable RAM, you're going to be able to run a much bigger context window than I can, so it will probably be usable.
The Nexa platform looked like it had a lot going... | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/or90joz/ | 1,789,194,838 | batch-priority-2026-summer |
or9mptv | LocalLLaMA | 1u3t05l | or90joz | 3 | No_Draft_8756 | 1,781,285,226 | Thank you! I know that I can't use gguf. Have you tried any Moe models and did they ran fully on the npu or did they fell back to CPU?
But which models with what generation speeds have you tried? | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/or9mptv/ | 1,789,194,838 | batch-priority-2026-summer |
ora0yif | LocalLLaMA | 1u3t05l | or9mptv | 4 | FreeSammiches | 1,781,289,064 | The NPU enabled models usable in AnythingLLM are currently limited to only the following:
Microsoft - Phi 3.5 Mini Instruct 4K
Meta - Llama 3.2 3B Chat 8K
Meta - Llama 3.2 3B Chat 16K
Meta - Llama 3.1 8B Chat 8K
RAG embedder - all-MiniLM-L6-v2
My personal experience is that if you keep activities stri... | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/ora0yif/ | 1,789,194,838 | batch-priority-2026-summer |
orawgrw | LocalLLaMA | 1u3t05l | ora0yif | 5 | No_Draft_8756 | 1,781,297,967 | First of all, thank you so much for doing this all. I think it is very interesting that the 8b was faster than the 3b. Probably because of the context window. I will take a further look into it.
They seem a bit slow because even 135gb/s ÷ 6,5gb could possibly get ~20t/s.
1/3 of that seems like there is a bottleneck s... | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/orawgrw/ | 1,789,194,838 | batch-priority-2026-summer |
orb3mbh | LocalLLaMA | 1u3t05l | 1u3t05l | 0 | Aaaaaaaaaeeeee | 1,781,300,113 | I saw gpt-oss was tested, from their the list of supported gguf models:
- Llama-3.2-1B-Instruct-Q4_0.gguf
- Llama-3.2-3B-Instruct-Q4_0.gguf
- Llama-3.1-8B-Instruct-Q4_0.gguf
- Qwen3-4B-Q4_0.gguf
- Qwen3-8B-128K-Q4_0.gguf
- Qwen3-14B-128K-Q4_0.gguf
- LFM2-1.2B-Q4_0.gguf
- OLMoE-1B-7B-0125-Instruct-Q4_0.gguf
- gpt-oss-2... | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/orb3mbh/ | 1,789,194,838 | batch-priority-2026-summer |
ordeoqg | LocalLLaMA | 1u3t05l | orb3mbh | 1 | No_Draft_8756 | 1,781,332,072 | Thank you. I will take a look into it | 1 | null | /r/LocalLLaMA/comments/1u3t05l/moe_models_on_qualcomm_npu/ordeoqg/ | 1,789,194,888 | batch-priority-2026-summer |
or7vsym | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | nuclearbananana | 1,781,268,083 | That's kinda cool. Tho with the hardware and chat lengths I have it would probably still be annoyingly slow :( | -3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or7vzpq | LocalLLaMA | 1u3tvgh | or7vsym | 1 | Dangerous_Try3619 | 1,781,268,144 | What hardware did you have? | 6 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or7y5cj | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | jwpbe | 1,781,268,838 | `llama serve -hf SupraLabs/Supra-Title-350M-exp-GGUF:Q4_K_M` is right there
we dont like ollama here
edit: https://llama.app | 196 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or7ycju | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | Chupa-Skrull | 1,781,268,901 | "Understanding The Person That Think It's Dumb" doesn't work as standard English, unfortunately, which is concerning for the model's viability.
This kind of raw title case output is also somewhat unpleasant.
Cool project though | 38 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or7yrhi | LocalLLaMA | 1u3tvgh | or7y5cj | 1 | Dangerous_Try3619 | 1,781,269,031 | Okay, lemme change | 44 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or7zt4m | LocalLLaMA | 1u3tvgh | or7vsym | 1 | Time-Toe-1276 | 1,781,269,363 | we are working on a smaller and more accurate chat model 😄
| 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or80fx9 | LocalLLaMA | 1u3tvgh | or7ycju | 1 | Time-Toe-1276 | 1,781,269,565 | that is completely true, but we are working on a smaller and more accurate model.
The one we have right now is an experimental model. expect the preview of the full model and dataset to drop next week! 😄 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or80rov | LocalLLaMA | 1u3tvgh | or7y5cj | 1 | Devatator_ | 1,781,269,667 | That works? I thought you needed to use `llama-serve` | 0 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or80uh7 | LocalLLaMA | 1u3tvgh | or7ycju | 1 | Dangerous_Try3619 | 1,781,269,692 | Oh, sorry, that was actually me who wrote that by accident, not the AI's output. Thanks for pointing it out! | 22 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or82lxy | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | KURD_1_STAN | 1,781,270,238 | The titles are weak tho, 3 4 similar topic abd will not be able to distinguish them. This could be cause ur prompt is very short tho. | 8 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or82wvc | LocalLLaMA | 1u3tvgh | or7y5cj | 1 | LosEagle | 1,781,270,331 | "*We don't take kindly to your types in here*" | 48 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or83lxl | LocalLLaMA | 1u3tvgh | or7vzpq | 2 | nuclearbananana | 1,781,270,541 | regular ass laptop, no gpu, no apple. Intel 11th gen. | -2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or843pn | LocalLLaMA | 1u3tvgh | or83lxl | 3 | Dangerous_Try3619 | 1,781,270,690 | Ah, I see 😅. That's exactly why I'm experimenting with smaller models. Most people don't have a dedicated GPU, so I'm trying to make something that can run on regular hardware. Try Q3 or Q2, it is fast even on old hardware | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or84c8d | LocalLLaMA | 1u3tvgh | or82lxy | 1 | Time-Toe-1276 | 1,781,270,759 | The prompts being bigger will INDEED help the model!
As of now, the model is experimental. SupraLabs is working on a preview version of the proper model. Expect the dataset and the preview version next week! 😄
The full model will take some time because we are doing DPO and proper tuning to make sure the model does n... | 6 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or84g27 | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | nuclearbananana | 1,781,270,791 | Hey is there a recommended format or system prompt?
Also I'm concerned that most of the examples seem to be short initial messages. I generally writ (or generate) titles near the end of a session, when there's more context, as what actually happened often differs from the inital request | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or84ugn | LocalLLaMA | 1u3tvgh | or80rov | 2 | jwpbe | 1,781,270,910 | you gotta get on the https://llama.app meta | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or854zu | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | HungryMachines | 1,781,270,995 | Used it, liked it! Thumbs up from me! Weirdly it has tools support, which actually does not help 😃 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or85ax0 | LocalLLaMA | 1u3tvgh | or84g27 | 1 | Time-Toe-1276 | 1,781,271,045 | There is no reccomended system prompt. like we said, it is trained without system prompts!
We trained it with ChatML so it works almost everywhere out of the box!
Also, you might wanna wait till next week for the proper preview version of the full model if you are pushing for production! 😄 | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or85fds | LocalLLaMA | 1u3tvgh | or854zu | 1 | Dangerous_Try3619 | 1,781,271,083 | Thanks!!! 😄 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or85lgs | LocalLLaMA | 1u3tvgh | or84g27 | 1 | Dangerous_Try3619 | 1,781,271,135 | No system prompt needed, i runned in LM Studio, and it worked without doing nothing | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or85lve | LocalLLaMA | 1u3tvgh | or83lxl | 3 | Time-Toe-1276 | 1,781,271,138 | our Q4 model runs on an i3 8th gen with no problem with DDR3 8GB ram on windows! you can comfortably run our model. our next Supra-Title model will be smaller and smarter, so you can comfortably run it! 😄 | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or868zz | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | NotARedditUser3 | 1,781,271,328 | This is actually great ; I've been using lfm2. 5 350m for exactly this purpose for quite some time now, as my cpu inference machine gets 2000 tokens per second prefill and 700 tokens per second decide on this model, and so it doesn't bog down my machine to create titles with it.
| 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or88azr | LocalLLaMA | 1u3tvgh | or868zz | 1 | Queasy-Contract9753 | 1,781,271,917 | I love the little model too. Use it in termux on my phone. What kind of CPU do you have? | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or88zrm | LocalLLaMA | 1u3tvgh | or82wvc | 2 | Voxandr | 1,781,272,103 | Rightfully so | 11 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or89jxg | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | kaisurniwurer | 1,781,272,252 | So is it a... summarisation model? | 15 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8a37p | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | 1,781,272,393 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer | ||
or8bme3 | LocalLLaMA | 1u3tvgh | or89jxg | 1 | Dangerous_Try3619 | 1,781,272,787 | it’s mainly a lightweight short-form text model. It works well for summarization, titles, and things like commit messages since it’s optimized for short outputs and low latency. | 16 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8bnvg | LocalLLaMA | 1u3tvgh | or8a37p | 1 | Dangerous_Try3619 | 1,781,272,797 | it’s mainly a lightweight short-form text model. It works well for summarization, titles, and things like commit messages since it’s optimized for short outputs and low latency. | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8dj22 | LocalLLaMA | 1u3tvgh | or8bnvg | 2 | 1,781,273,275 | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer | ||
or8eh2n | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | CoyoteUsesTech | 1,781,273,510 | I ran the examples through the model and got fairly different results from what's described :
> I am so dumb brooo
Why Should I Be Dumb?
> what's the easiest way to make fluffy pancakes?
Simple Method For Fluffy Pancakes
> bruh my wifi keeps disconnecting every 10 minutes 😭
WiFi Di... | 46 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8gsk7 | LocalLLaMA | 1u3tvgh | or8eh2n | 1 | Dangerous_Try3619 | 1,781,274,086 | That's good, no? | 13 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8iv5c | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | Yeelyy | 1,781,274,623 | Does it generate titles only in english or are other languages such as german also supported? | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8oqqi | LocalLLaMA | 1u3tvgh | or8iv5c | 1 | Dangerous_Try3619 | 1,781,276,178 | Unfortunately it only generates english, but, in next versions we are going to make it generate plenty of languages | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8p39z | LocalLLaMA | 1u3tvgh | or8dj22 | 3 | Dangerous_Try3619 | 1,781,276,269 | it can handles some sentences per chat | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8qun9 | LocalLLaMA | 1u3tvgh | or8gsk7 | 2 | thrownawaymane | 1,781,276,737 | The first title should be "Why am I Dumb?"
The rest are ok
Actually the last one mentions inflation when the prompt did not
This needs more time in the oven IMO | 30 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8r0ig | LocalLLaMA | 1u3tvgh | or8eh2n | 1 | Time-Toe-1276 | 1,781,276,780 | When benchmarking SLMs, we benchmark them at optimal hyper parameters 😄 but the preview model releasing in the next week will get more resistance and better performance! | 11 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8rc27 | LocalLLaMA | 1u3tvgh | or89jxg | 1 | Time-Toe-1276 | 1,781,276,867 | Actually, it is not. it strictly makes 4 words or less. but sure... I se your socratic side! | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8rm1e | LocalLLaMA | 1u3tvgh | or8iv5c | 1 | Time-Toe-1276 | 1,781,276,941 | We are working on newer and smaller models, but as of now the model can accept multilingual tokens, though the results might not be optimal. we are exposing the model to rare tokens. | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8ruok | LocalLLaMA | 1u3tvgh | or868zz | 1 | Time-Toe-1276 | 1,781,277,005 | haha thats perfct. we are uing LFM2- like architectures because the convolutions for atention makes the model far more efficient on mobile chips! | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8s1vn | LocalLLaMA | 1u3tvgh | or8dj22 | 3 | Time-Toe-1276 | 1,781,277,059 | it is trained ith a 4k context length, we focused on chat summarization! | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or8w4y8 | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | Competitive_Ad_5515 | 1,781,278,145 | Hey OP, very cool, thanks for sharing.
How does this work for sentiment analysis, which I feel is a classification and summarisation task that shares a lot of overlap with the given use-case of titles? | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or93u6c | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | LushHappyPie | 1,781,280,173 | I would love something like this but for naming photos on my phone, especially if it could also use date and time to group them and for a GPS position to also influence the title. | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or970rf | LocalLLaMA | 1u3tvgh | or80fx9 | 2 | Chupa-Skrull | 1,781,281,015 | I'll look forward to it, I enjoy these little guys | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or97gxa | LocalLLaMA | 1u3tvgh | or7y5cj | 1 | fryan4 | 1,781,281,132 | Curious on why we don’t like ollama | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or994je | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | Dany0 | 1,781,281,571 | Ahahahah I thought it was a 350B model and I legit spent a good minute thinking why someone created a 350B model for generating titles before I realised 😭😭 | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9e74r | LocalLLaMA | 1u3tvgh | or97gxa | 2 | m18coppola | 1,781,282,940 | 1. history of purposefully obscuring that they were using llama.cpp under the hood which violates the open source license
2. history of obscuring names of small models like the deepseek distills so they can get downloads off the large model's hype
3. ollama model format is confusing and challenging to work with
4. olla... | 54 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9esbi | LocalLLaMA | 1u3tvgh | or97gxa | 2 | GreatBigJerk | 1,781,283,098 | From what I understand, they tend to take from llama.cpp but don't give back, and they have a bunch of bloat. | 6 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9fee7 | LocalLLaMA | 1u3tvgh | or97gxa | 2 | Rektile142 | 1,781,283,260 | It’s an opinionated wrapper around llama.cpp that is known to degrade inference performance in comparison. In my opinion, it is a ‘leech’ project that serves no actual purpose but to bait users who are new to local inference and push them into paying for ollama cloud. | 54 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9l0wt | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | charles25565 | 1,781,284,775 | Using GPL for models isn't recommended. It also can clash with the LFM license, making this project illegal.
An encoder-decoder model might be interesting for a task like this as well.
llama.cpp has its own title generation prompt so consider using SFT on that: https://github.com/ggml-org/llama.cpp/blob/master/tools/... | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9nncp | LocalLLaMA | 1u3tvgh | or9fee7 | 3 | fryan4 | 1,781,285,475 | I’ve always found it weird that you can’t filter by ‘local’ models but can filter by cloud. Thanks for explanation. | 13 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9u5ke | LocalLLaMA | 1u3tvgh | or8gsk7 | 2 | CoyoteUsesTech | 1,781,287,216 | Kinda. This is not good enough for me to trust and start using, but it is promising. | 6 | null | null | 1,789,194,839 | batch-priority-2026-summer |
or9yv8e | LocalLLaMA | 1u3tvgh | or9e74r | 3 | thrownawaymane | 1,781,288,495 | lol @ 5, I missed that one
6 is the most frustrating. But again given the cloud focus that they have but don't want to talk about this serves them IMO | 4 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orask0n | LocalLLaMA | 1u3tvgh | or8bme3 | 2 | kaisurniwurer | 1,781,296,829 | I love the idea of small but very specialized models. I dream of a true to it's name MoE agglomeration. | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orb24eb | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | DepressedDrift | 1,781,299,653 | Can this code GTA 6?
Should I choose this model or Claude Fable 5? | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orb92nc | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | LyPreto | 1,781,301,817 | DUDE! THANK YOU!!! | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orbc9ax | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | Tormeister | 1,781,302,849 | Pretty nice, almost exactly what I was looking for
I'll just miss having emojis in the titles - would be pretty cool to have an emoji version! | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orbcag9 | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | jaybsuave | 1,781,302,860 | i see 0 purpose for this | 0 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orbeg2j | LocalLLaMA | 1u3tvgh | orbcag9 | 1 | Some_thing_like_vr | 1,781,303,573 | Always the "likes to keep their posts hidden" people. Lol | 5 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orbjsme | LocalLLaMA | 1u3tvgh | orbeg2j | 2 | jaybsuave | 1,781,305,388 | Lol relax its my opinion | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orbmbe0 | LocalLLaMA | 1u3tvgh | or8eh2n | 1 | 108er | 1,781,306,264 | That's the typical AI behavior. No consistency, every single time you get a variation of response which sometimes sucks. | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orc1zd2 | LocalLLaMA | 1u3tvgh | orbcag9 | 1 | aeroumbria | 1,781,311,832 | If you run chat UIs or coding agents with llama.cpp using a heavy model, sometimes the title request will time out and you are left with "untitled" or "new chat" because the server is stuck processing the actual request. I guess not a bad use of CPU resources to run a small model and ensure titles don't get eaten. | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orc3x0d | LocalLLaMA | 1u3tvgh | orc1zd2 | 2 | jaybsuave | 1,781,312,524 | ah i haven’t used llama.cpp i’m usually in aider, open code, codex or claude | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orc5oi5 | LocalLLaMA | 1u3tvgh | orc3x0d | 3 | aeroumbria | 1,781,313,164 | It's actually a good idea to override the opencode "small model" config, because it defaults to using haiku for title generation when using openrouter or zen for title generation, which is not the lowest cost among low cost models. | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orc64ij | LocalLLaMA | 1u3tvgh | orc5oi5 | 4 | jaybsuave | 1,781,313,328 | i see, my fault for not understanding the capabilities, thx for the explanation | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orcez4a | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | kapitanfind-us | 1,781,316,497 | IMHO this is a great idea, title and summary (context compaction) models should be small and run everywhere.
My setup is: local 2x3090 server for coding + compaction models on the individual client computers (local local?)
Do I win the locallama badge? | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orcga96 | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | Available-Craft-5795 | 1,781,316,967 | Ooo getting into the OpenAI backgrounds I see | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orct0x2 | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | 1,781,321,879 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer | ||
orcv8gz | LocalLLaMA | 1u3tvgh | or7yrhi | 2 | rm-rf-rm | 1,781,322,807 | I appreciate that you switched off of ollama but llama-server (llama.cpp project) is the de facto standard - that's the one you'll want to have in your docs | 9 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orcvnjq | LocalLLaMA | 1u3tvgh | 1u3tvgh | 0 | rm-rf-rm | 1,781,322,987 | Can you share some examples of LFM2.5-350M plus a good prompt vs. your model? | 4 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ordho6o | LocalLLaMA | 1u3tvgh | or9e74r | 3 | droptableadventures | 1,781,333,630 | [7] - publishing completely borked chat templates that result in very suboptimal performance. One of the things Unsloth does that's somewhat underappreciated (everyone thinks they just do quantizations) is fixing chat template bugs for their GGUF releases.
[8] - sneaky tactics with users - at one point (don't know if ... | 8 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ordlv4d | LocalLLaMA | 1u3tvgh | or97gxa | 2 | kuhunaxeyive | 1,781,335,816 | Ollama pretends to make things easier, then locks you in, while it actually makes things more complicated. For example, it introduces its own way of storing and managing models. You will spend hours downloading models and then, when you want to try out another inference machine, find out that you can't just use the dow... | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore8okh | LocalLLaMA | 1u3tvgh | or994je | 1 | Time-Toe-1276 | 1,781,348,001 | Haha everyboy have the confusing moments, but it is a 350M model focusing on 4k, it can accept upto 6k before halucinating too!
we focussed all on the thinking capabilities 😄 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore8udd | LocalLLaMA | 1u3tvgh | or9l0wt | 1 | Time-Toe-1276 | 1,781,348,078 | we will look into them and change it, we had confusion at our teams with the datasets and models. someone (definitely not me) made it GPL, which we will change it!
thx for pointing out! | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore8w9w | LocalLLaMA | 1u3tvgh | orb24eb | 1 | Time-Toe-1276 | 1,781,348,104 | All i can say is... SON😭 | 3 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore8yni | LocalLLaMA | 1u3tvgh | orcez4a | 1 | Time-Toe-1276 | 1,781,348,135 | H100. sorry, you failed us. lol jk | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore93om | LocalLLaMA | 1u3tvgh | orb92nc | 1 | Time-Toe-1276 | 1,781,348,202 | Haha, we built this from our personl experiences of not havinng a model like this. you might wanna check out our model we are releasing next week, which is the preview o the full model! 😄 | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore963j | LocalLLaMA | 1u3tvgh | orbc9ax | 1 | Time-Toe-1276 | 1,781,348,235 | we will check into that, most people in our community voted to not have emojis tho 😄 | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore97hf | LocalLLaMA | 1u3tvgh | orcga96 | 1 | Time-Toe-1276 | 1,781,348,253 | well... who said we cannot? | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore9bel | LocalLLaMA | 1u3tvgh | orct0x2 | 1 | Time-Toe-1276 | 1,781,348,305 | some people have ebing talking about that on our communty, we ould like to implement that! right now we are focusing on the accuracy and proper context! | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
ore9fts | LocalLLaMA | 1u3tvgh | orcvnjq | 1 | Time-Toe-1276 | 1,781,348,363 | sure we will in our next model (preview version of the full model). our model is aligned for thi task, so it is pretty reliable compared to a 350M general model which might say thing like "Sure, here i your chat title..." | 4 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orei6qh | LocalLLaMA | 1u3tvgh | orbeg2j | 2 | Dangerous_Try3619 | 1,781,352,198 | lol | 1 | null | null | 1,789,194,839 | batch-priority-2026-summer |
orev8b6 | LocalLLaMA | 1u3tvgh | ore97hf | 2 | Available-Craft-5795 | 1,781,357,031 | Nobody lol | 2 | null | null | 1,789,194,839 | batch-priority-2026-summer |
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