name string | body string | score int64 | controversiality int64 | created timestamp[us] | author string | collapsed bool | edited timestamp[us] | gilded int64 | id string | locked bool | permalink string | stickied bool | ups int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
t1_o8dggz8 | We tested it on a local machine E-Worker Studio [app.eworker.ca](http://app.eworker.ca) \+ Ollama + Qwen 3.5 4B
Prompt:
>hello boss, what is the weather in beijing ?
Work:
>It did think and it did call tools (Bing, Baidu)
>system-search-bing({"query":"weather Beijing CN current temperature","count":5})
>system-s... | 1 | 0 | 2026-03-03T07:20:24 | eworker8888 | false | null | 0 | o8dggz8 | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8dggz8/ | false | 1 |
t1_o8dgb4i | The model the user is asking about—Qwen3.5—may not be the best fit for LM Studio in this scenario due to several key factors related to real-world usage and hardware limitations.
First, Qwen3.5 is a large language model, and even with high-end hardware like an RTX 4070 Super and 32GB RAM, running it locally in its ful... | 1 | 0 | 2026-03-03T07:18:53 | kompania | false | null | 0 | o8dgb4i | false | /r/LocalLLaMA/comments/1rjgwhm/so_with_the_new_qwen35_release_what_should_i_use/o8dgb4i/ | false | 1 |
t1_o8dgajc | Im running this models locally, so far 122b is the best.
Right after the 27B
On open code you need to clarify how to use write tools, qwen3.5 has issue with it | 1 | 0 | 2026-03-03T07:18:44 | BitXorBit | false | null | 0 | o8dgajc | false | /r/LocalLLaMA/comments/1rjg5qm/qwen3535ba3b_vs_qwen3_coder_30b_a3b_instruct_for/o8dgajc/ | false | 1 |
t1_o8dg1iq | When it comes to expressive voice cloning, I’ve been enjoying IndexTTS2 in the open model space. On the hosted side, Fish Audio gives a wide range of emotions, and unlike some other services, the ongoing costs aren’t crazy high. | 1 | 0 | 2026-03-03T07:16:25 | opellec | false | null | 0 | o8dg1iq | false | /r/LocalLLaMA/comments/1qh1b8e/best_opensource_voice_cloning_model_with/o8dg1iq/ | false | 1 |
t1_o8dfyp5 | Just played around with it via pi-coding-agent and honestly it’s been incredible! I didn’t get around to installing it until a few minutes before bed, looking forward to getting more reps in with it in the morning | 1 | 0 | 2026-03-03T07:15:42 | jyap8 | false | null | 0 | o8dfyp5 | false | /r/LocalLLaMA/comments/1riwy9w/is_qwen359b_enough_for_agentic_coding/o8dfyp5/ | false | 1 |
t1_o8dfy7r | not to mention that qwen 3.5 totally misses facts about where the airbus lays its eggs | 1 | 0 | 2026-03-03T07:15:35 | billy_booboo | false | null | 0 | o8dfy7r | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8dfy7r/ | false | 1 |
t1_o8dfvbg | The Qwen3.5-35B-A3B model, despite its impressive parameter count and initial promise, demonstrates a \*\*complete lack of practical utility\*\* for real-world applications. Below is a breakdown of its shortcomings, using the original post as a reference to highlight its failure to address critical user needs.
\---
... | 1 | 0 | 2026-03-03T07:14:51 | kompania | false | null | 0 | o8dfvbg | false | /r/LocalLLaMA/comments/1rjh5wg/unsloth_fixed_version_of_qwen3535ba3b_is/o8dfvbg/ | false | 1 |
t1_o8dfpu0 | sad to see a clear degradation of reasoning over the last few generations of these models | 1 | 0 | 2026-03-03T07:13:28 | billy_booboo | false | null | 0 | o8dfpu0 | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8dfpu0/ | false | 1 |
t1_o8dfpjt | https://www.reddit.com/r/LocalLLaMA/s/cdbDW1g0ym | 1 | 0 | 2026-03-03T07:13:24 | MaxKruse96 | false | null | 0 | o8dfpjt | false | /r/LocalLLaMA/comments/1rit2wx/llamacpp_qwen35_using_qwen3508b_as_a_draft_model/o8dfpjt/ | false | 1 |
t1_o8dfnzy | Shouldn't they try 35B A3b instead? | 1 | 0 | 2026-03-03T07:13:00 | Pro-editor-1105 | false | null | 0 | o8dfnzy | false | /r/LocalLLaMA/comments/1rjec8a/qwen35_on_a_mid_tier_300_android_phone/o8dfnzy/ | false | 1 |
t1_o8dflc6 | I'm afraid ctx-size requires a restart of llama-server. | 1 | 0 | 2026-03-03T07:12:20 | MelodicRecognition7 | false | null | 0 | o8dflc6 | false | /r/LocalLLaMA/comments/1rj8sow/llamacpp_models_preset_with_multiple_presets_for/o8dflc6/ | false | 1 |
t1_o8dfepm | Id rather claim I'm color blind than try to even zoom in | 1 | 0 | 2026-03-03T07:10:41 | ThiccStorms | false | null | 0 | o8dfepm | false | /r/LocalLLaMA/comments/1rivckt/visualizing_all_qwen_35_vs_qwen_3_benchmarks/o8dfepm/ | false | 1 |
t1_o8dfaso | did you notice the "small differences" between the real 5090 and "5090 laptop"?
for videos/deepfakes ask in /r/StableDiffusion/ or /unstablediffusion/ lol | 1 | 0 | 2026-03-03T07:09:42 | MelodicRecognition7 | false | null | 0 | o8dfaso | false | /r/LocalLLaMA/comments/1rj7z9v/where_to_get_a_comprehensive_overview_on_the/o8dfaso/ | false | 1 |
t1_o8dfa50 | Remove the kv cache quantization if your leftover VRAM allows, quantized kv cache does impact speed. Also while I know that people like using --fit, I have found that manually tuning the parameters myself provides me with faster inference and I can optimize the balance between prefill speeds and token generation speeds... | 1 | 0 | 2026-03-03T07:09:32 | SimilarWarthog8393 | false | null | 0 | o8dfa50 | false | /r/LocalLLaMA/comments/1rjff88/how_do_i_get_the_best_speed_out_of_qwen_35_9b_in/o8dfa50/ | false | 1 |
t1_o8df3gy | Qwen 3.5 is the worst model in recent years.
The knowledge in this model is a chaotic mess. I don't know where the lab that created Qwen 3.5 stole/distilled the data, but they definitely did it wrong.
This model is completely inconsistent. | 1 | 0 | 2026-03-03T07:07:52 | kompania | false | null | 0 | o8df3gy | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8df3gy/ | false | 1 |
t1_o8df0sb | Unrelated sub. Post in r/grok | 1 | 0 | 2026-03-03T07:07:12 | Voxandr | false | null | 0 | o8df0sb | false | /r/LocalLLaMA/comments/1rjhi3u/live_demo_grok_ping_drops_to_0005ms_via_my_command/o8df0sb/ | false | 1 |
t1_o8dey2e | You're giving it a nervous breakdown by breaking social norms!
Like coworkers saying "hi" in work chat, and nothing else.
Perfectly good LLM and you gave it anxiety, good job!
/s | 1 | 0 | 2026-03-03T07:06:32 | Kirito_Uchiha | false | null | 0 | o8dey2e | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8dey2e/ | false | 1 |
t1_o8dev88 | Qwen 3.5 is the worst model in recent years.
Most of the IT world is disappointed.
That's why bots on r/LocalLLaMA/ have to promote this terrible model with spam. | 1 | 0 | 2026-03-03T07:05:50 | kompania | false | null | 0 | o8dev88 | false | /r/LocalLLaMA/comments/1rj6m71/qwen_35_27b_a_testament_to_the_transformer/o8dev88/ | false | 1 |
t1_o8detiv | Why are you using llama, its 2026 not 2024. | 1 | 0 | 2026-03-03T07:05:24 | Emotional-Baker-490 | false | null | 0 | o8detiv | false | /r/LocalLLaMA/comments/1rjckv2/help_deploying_llama3_8b_finetune_for_lowresource/o8detiv/ | false | 1 |
t1_o8depwg | Max you can run is Qwen 3.5 30B A3b. or Qwen-9b . You cant run 27b on that . | 1 | 0 | 2026-03-03T07:04:29 | Voxandr | false | null | 0 | o8depwg | false | /r/LocalLLaMA/comments/1rjikwz/help_me_create_my_llm_ecosystem/o8depwg/ | false | 1 |
t1_o8deoaf | Anything less than q4 and MAYBE a high q3 quant imo isn't worth it the quality drop is too huge | 1 | 0 | 2026-03-03T07:04:05 | FusionCow | false | null | 0 | o8deoaf | false | /r/LocalLLaMA/comments/1rjgwhm/so_with_the_new_qwen35_release_what_should_i_use/o8deoaf/ | false | 1 |
t1_o8denns | I tried it and it was a very disappointing experience:
* the init used all the Chinese versions of [SOUL.md](http://SOUL.md), [AGENTS.md](http://AGENTS.md) etc
* can be configured to use an existing local llama.cpp
* tried it with Qwen3.5-2B and it didn't work: the llama.cpp version it uses is too old. Ouch!!!
And lo... | 1 | 0 | 2026-03-03T07:03:56 | wanderer_4004 | false | null | 0 | o8denns | false | /r/LocalLLaMA/comments/1rin3ea/alibaba_team_opensources_copaw_a_highperformance/o8denns/ | false | 1 |
t1_o8delpt | This website isn't working.
I'm not surprised, considering it's the Qwen 3.5, the worst model in recent years. It just couldn't work. | 1 | 0 | 2026-03-03T07:03:27 | kompania | false | null | 0 | o8delpt | false | /r/LocalLLaMA/comments/1rjhuvq/visual_narrator_with_qwen3508b_on_webgpu/o8delpt/ | false | 1 |
t1_o8delda | You MIGHT be able to, but honestly, if you go to [vast.ai](http://vast.ai), you can rent something like a 5090 or rtx pro 6000 for pretty cheap and you could get a much more quality model for probably around 10 bucks in rent usage. I've finetuned a couple models using unsloth, but the differing models doesn't really ma... | 1 | 0 | 2026-03-03T07:03:22 | FusionCow | false | null | 0 | o8delda | false | /r/LocalLLaMA/comments/1rjhfow/thinking_of_finetuning_llama7b_with_100k_samples/o8delda/ | false | 1 |
t1_o8dei4s | The Llamatic Toenail Prophecy is a religion that emerged in the 18th century in Persia, specifically in Iran, during the reign of the Shah Ismail Khan. This religion is based on the interpretation of biblical prophecies and has roots in both Islamic and Western traditions.
Here are some key principles of the Llamatic... | 1 | 0 | 2026-03-03T07:02:34 | Pro-editor-1105 | false | null | 0 | o8dei4s | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8dei4s/ | false | 1 |
t1_o8dehq7 | How much params? | 1 | 0 | 2026-03-03T07:02:28 | Voxandr | false | null | 0 | o8dehq7 | false | /r/LocalLLaMA/comments/1rji5bc/how_do_the_small_qwen35_models_compare_to_the/o8dehq7/ | false | 1 |
t1_o8degi1 | Unfortunately, Qwen 3.5 is currently the worst model in real-world use.
Over 50% of messages are hallucinations. It can't use tools effectively. Model drift occurs after 4096 contexts.
Granite is superior to Qwen 3.5 in every respect. | 1 | 0 | 2026-03-03T07:02:10 | kompania | false | null | 0 | o8degi1 | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8degi1/ | false | 1 |
t1_o8deeft | Unfortunately, Qwen 3.5 is currently the worst model in real-world use.
Over 50% of messages are hallucinations. It can't use tools effectively. Model drift occurs after 4096 contexts.
Granite is superior to Qwen 3.5 in every respect. | 1 | 0 | 2026-03-03T07:01:37 | kompania | false | null | 0 | o8deeft | false | /r/LocalLLaMA/comments/1rji5bc/how_do_the_small_qwen35_models_compare_to_the/o8deeft/ | false | 1 |
t1_o8de0i3 | so you are so arrogant that you'll claim you've wrote everything manually? especially .md files with AI instructions:
https://github.com/KyleMillion/unified-cognitive-substrate/judgment-preservation/reply_templates.md
# Reply Templates (approval-gated)
Use these as **copy/paste starting points**. Adjust... | 1 | 0 | 2026-03-03T06:58:08 | MelodicRecognition7 | false | null | 0 | o8de0i3 | false | /r/LocalLLaMA/comments/1rhcjd3/p_ucs_v12_judgment_preservation_in_persistent_ai/o8de0i3/ | false | 1 |
t1_o8ddwp6 | [https://github.com/anemll/anemll](https://github.com/anemll/anemll)
Gemma3, Qwen3, LLAMA3 are fully supported with conversion from Hugging Face weights.
Swift CLI source, iOS App Source + TestFlight download (iOS, macOS, iPadOS, visionOS and an alpha of tvOS)
All under MIT.
HF models pre-converted modles: [ht... | 1 | 0 | 2026-03-03T06:57:11 | Competitive-Bake4602 | false | null | 0 | o8ddwp6 | false | /r/LocalLLaMA/comments/1n1tvkb/anyone_successfully_running_llms_fully_on_apple/o8ddwp6/ | false | 1 |
t1_o8ddvau | Yeah, I don’t like how unstable it. Is on my system but the speed is nice when it works | 1 | 0 | 2026-03-03T06:56:50 | Savantskie1 | false | null | 0 | o8ddvau | false | /r/LocalLLaMA/comments/1rjfqib/why_are_the_ollama_quants_of_local_llm_models/o8ddvau/ | false | 1 |
t1_o8ddv0x | Cooles Projekt.
Führ doch mal auf deiner Seite ne Sortierfunktion nach ELO bei der Modellseite ein bitte. Danke | 1 | 0 | 2026-03-03T06:56:45 | Fit_Upstairs_869 | false | null | 0 | o8ddv0x | false | /r/LocalLLaMA/comments/1reds0p/qwen_35_craters_on_hard_coding_tasks_tested_all/o8ddv0x/ | false | 1 |
t1_o8ddtvb | 1 | 0 | 2026-03-03T06:56:28 | SM8085 | false | null | 0 | o8ddtvb | false | /r/LocalLLaMA/comments/1rjg5qm/qwen3535ba3b_vs_qwen3_coder_30b_a3b_instruct_for/o8ddtvb/ | false | 1 | |
t1_o8ddtaw | If you have an NVIDIA GPU with over 6GB of VRAM you're golden. If you're running CPU only, it's a little more constrained. The app isn't RAM heavy but with 8GB only you might encounter some issues. | 1 | 0 | 2026-03-03T06:56:20 | TwilightEncoder | false | null | 0 | o8ddtaw | false | /r/LocalLLaMA/comments/1r9y6s8/transcriptionsuite_a_fully_local_private_open/o8ddtaw/ | false | 1 |
t1_o8ddq1n | If a longer more explicit prompt consistently triggers less thinking, overthinking should be controllable by a better, more specific meta prompt?
For example:
“The user sometimes is not asking anything specific and instead may casually be friendly, when so just reply with a quick, same tone and intent answer” | 1 | 0 | 2026-03-03T06:55:32 | ElSrJuez | false | null | 0 | o8ddq1n | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8ddq1n/ | false | 1 |
t1_o8ddfll | You can probably tune all that with system prompt. So if these models are good with following instructions, then they should be able to adjust pretty readily. | 1 | 0 | 2026-03-03T06:52:57 | Ok-Ad-8976 | false | null | 0 | o8ddfll | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8ddfll/ | false | 1 |
t1_o8ddcc0 | So, these are in-line with the Vulkan performance I observed on the graphics.
As you have better token generation speed, could you please share your settings?
For your kernel, which value did you configure for iommu and amd\_iommu?
For llama.cpp, do you use --no-mmap? --mlock? | 1 | 0 | 2026-03-03T06:52:07 | PhilippeEiffel | false | null | 0 | o8ddcc0 | false | /r/LocalLLaMA/comments/1ri6yhb/the_last_amd_gpu_firmware_update_together_with/o8ddcc0/ | false | 1 |
t1_o8ddc2d | As implicitly suggested in the other comment you shoul save models is a "sub-folder" referring explicitly where you downloaded the GGUF. For example, if you downloaded the unsloth GGUF...
`/models/Qwen3.5-35B-A3B-UD-Q4_K_M.gguf` should be `/models/unsloth/Qwen3.5-35B-A3B-UD-Q4_K_M.gguf`
This will help in the long ti... | 1 | 0 | 2026-03-03T06:52:03 | Medium-Technology-79 | false | null | 0 | o8ddc2d | false | /r/LocalLLaMA/comments/1rjhy83/tool_calling_issues_with_qwen3535b_with_16gb_vram/o8ddc2d/ | false | 1 |
t1_o8dd9us | Error recovery is nice catch, I will try that.
I will do then benchmarks based on opencode | 1 | 0 | 2026-03-03T06:51:31 | FeiX7 | false | null | 0 | o8dd9us | false | /r/LocalLLaMA/comments/1rinbwd/local_agents_running_in_claude_codecodexopencode/o8dd9us/ | false | 1 |
t1_o8dd61m | Unlikely. It's still 35b parameters of total knowledge vs. 9b.
A redneck that fixed tractors and cars at home can give you better advise on car issues than a surgeon, who arguably has more total knowledge (3b active parameters vs 9b total)
35b a3b vs 27b dense seems to be very close, with the 27b having a slight... | 1 | 0 | 2026-03-03T06:50:34 | coloredgreyscale | false | null | 0 | o8dd61m | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8dd61m/ | false | 1 |
t1_o8dd5kh | Interesting, thanks for the recommendation (none of the models I asked gave this as their top recommendation but I'd honestly rather trust a human with experience lmao) | 1 | 0 | 2026-03-03T06:50:27 | Daniel_H212 | false | null | 0 | o8dd5kh | false | /r/LocalLLaMA/comments/1rjh5wg/unsloth_fixed_version_of_qwen3535ba3b_is/o8dd5kh/ | false | 1 |
t1_o8dd516 | Well, not only are you running a model at half the parameter count (your 2B vs 4B in OP's post), but also with an outdated quant format (Q4\_0), so I wouldn't be surprised if it's caused just by that | 1 | 0 | 2026-03-03T06:50:18 | ABLPHA | false | null | 0 | o8dd516 | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8dd516/ | false | 1 |
t1_o8dd4h4 | I am doing same with my agent 🤷♂️ | 1 | 0 | 2026-03-03T06:50:10 | FeiX7 | false | null | 0 | o8dd4h4 | false | /r/LocalLLaMA/comments/1rinbwd/local_agents_running_in_claude_codecodexopencode/o8dd4h4/ | false | 1 |
t1_o8dd3g5 | If you're on android, try using GPU or CPU instead of the NPU in settings | 1 | 0 | 2026-03-03T06:49:55 | Fit_Mistake_1447 | false | null | 0 | o8dd3g5 | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8dd3g5/ | false | 1 |
t1_o8dd148 | Interesting. OpenWebUI doesn't have that problem right now so that's good. Their documentation does put spaces between the bracket and the contents which is incorrect though. | 1 | 0 | 2026-03-03T06:49:20 | Daniel_H212 | false | null | 0 | o8dd148 | false | /r/LocalLLaMA/comments/1rjh5wg/unsloth_fixed_version_of_qwen3535ba3b_is/o8dd148/ | false | 1 |
t1_o8dd0b4 | May I ask what version of vLLM you’re using with qwen3.5? It feels way more fragile than llama.cpp (from source). I feel like I’m constantly having to fix dependencies/CUDA versions etc. | 1 | 0 | 2026-03-03T06:49:09 | Firestorm1820 | false | null | 0 | o8dd0b4 | false | /r/LocalLLaMA/comments/1rjb7yk/psa_if_you_want_to_test_new_models_use/o8dd0b4/ | false | 1 |
t1_o8dczap | [removed] | 1 | 0 | 2026-03-03T06:48:54 | [deleted] | true | null | 0 | o8dczap | false | /r/LocalLLaMA/comments/1rj7y9d/pmetal_llm_finetuning_framework_for_apple_silicon/o8dczap/ | false | 1 |
t1_o8dcujb | Building the wheels is a bitch and a half on Google Colab | 1 | 0 | 2026-03-03T06:47:43 | WhatWouldTheonDo | false | null | 0 | o8dcujb | false | /r/LocalLLaMA/comments/1rjb7yk/psa_if_you_want_to_test_new_models_use/o8dcujb/ | false | 1 |
t1_o8dcssr | Will download in the morning thank you | 1 | 0 | 2026-03-03T06:47:17 | Impossible-Glass-487 | false | null | 0 | o8dcssr | false | /r/LocalLLaMA/comments/1rjg514/qwen35_100b_part_ii_nvfp4_blackwell_is_up/o8dcssr/ | false | 1 |
t1_o8dcsla | i made a spelling mistake in my example: s/temperture/temperature/ | 1 | 0 | 2026-03-03T06:47:14 | No-Statement-0001 | false | null | 0 | o8dcsla | false | /r/LocalLLaMA/comments/1riyfg2/qwen35_model_series_thinking_onoff_does_it_matter/o8dcsla/ | false | 1 |
t1_o8dcqhg | I may be missing something but llama.cpp is "llama-server -hf repo/modelname", and it works exactly as well (except using the OG models and not ollama proprietary mirrors with botched chat templates). | 1 | 0 | 2026-03-03T06:46:41 | 666666thats6sixes | false | null | 0 | o8dcqhg | false | /r/LocalLLaMA/comments/1rjb7yk/psa_if_you_want_to_test_new_models_use/o8dcqhg/ | false | 1 |
t1_o8dck8p | These are statistical models. Sometimes you’ll get something good. Sometimes not | 1 | 0 | 2026-03-03T06:45:09 | lambdawaves | false | null | 0 | o8dck8p | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8dck8p/ | false | 1 |
t1_o8dchhc | Hi why are newer models not here | 1 | 0 | 2026-03-03T06:44:27 | Sternritter8636 | false | null | 0 | o8dchhc | false | /r/LocalLLaMA/comments/1mhcfe4/what_models_have_the_least_likelihood_of/o8dchhc/ | false | 1 |
t1_o8dc6w3 | I still wonder why they recommend presence penalty, isn't it a naive and obsolete sampler? | 1 | 0 | 2026-03-03T06:41:48 | Velocita84 | false | null | 0 | o8dc6w3 | false | /r/LocalLLaMA/comments/1rjhmmf/presence_penalty_seems_to_be_incoming_on_lmstudio/o8dc6w3/ | false | 1 |
t1_o8dc43j | How are all the different penalties different (functioanlly/practically speaking)? | 1 | 0 | 2026-03-03T06:41:08 | TomLucidor | false | null | 0 | o8dc43j | false | /r/LocalLLaMA/comments/1rjhmmf/presence_penalty_seems_to_be_incoming_on_lmstudio/o8dc43j/ | false | 1 |
t1_o8dbxa2 | This is what i have written, use AI to help you to understand and stop crying 🤡
"
The main issue is that with thinking enabled, the model spends an excessive amount of time reasoning - even on simple tasks like query rewriting - which makes it impractical for a multi-step pipeline where latency adds up quickly. On the... | 1 | 0 | 2026-03-03T06:39:28 | CapitalShake3085 | false | null | 0 | o8dbxa2 | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8dbxa2/ | false | 1 |
t1_o8dbuof | You specifically call out the Pentagon, but no other organizations. | 1 | 0 | 2026-03-03T06:38:50 | dobablos | false | null | 0 | o8dbuof | false | /r/LocalLLaMA/comments/1riuywe/genuinely_fascinating_but_also_kind_of_terrifying/o8dbuof/ | false | 1 |
t1_o8dbu3c | Currently trying to set this up myself. Thinking 27b, if possible. Any suggestions on the context window and other tunables? Ollama vs MLX in LMStudio? | 1 | 0 | 2026-03-03T06:38:41 | cats_r_ghey | false | null | 0 | o8dbu3c | false | /r/LocalLLaMA/comments/1rjg5qm/qwen3535ba3b_vs_qwen3_coder_30b_a3b_instruct_for/o8dbu3c/ | false | 1 |
t1_o8dbsqa | Did you make sure picture metadata didn't leak into the context ? It would be trivial to guess the location with GPS coordinates. | 1 | 0 | 2026-03-03T06:38:21 | e979d9 | false | null | 0 | o8dbsqa | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8dbsqa/ | false | 1 |
t1_o8dbsio | Looks like you want both speed and quality. Why did you reduce the kv cache to Q8? Is it worth the quality loss?
If I had to make a choice, I would probably reduce the model to Q6 and keep the cache at 16 bits. | 1 | 0 | 2026-03-03T06:38:19 | PhilippeEiffel | false | null | 0 | o8dbsio | false | /r/LocalLLaMA/comments/1rjff88/how_do_i_get_the_best_speed_out_of_qwen_35_9b_in/o8dbsio/ | false | 1 |
t1_o8dbpyv | No nvlink is a problem for anything that's more than 1 GPU...there's still PCIE interconnect, but this is not what modern toolkits are used around. At least for the next few years, everything supports H100/200 as the mainstream NVIDIA card, and software support for the pro series lags significantly (as someone who owns... | 1 | 0 | 2026-03-03T06:37:41 | Academic-Air7112 | false | null | 0 | o8dbpyv | false | /r/LocalLLaMA/comments/1kwn7t4/setup_recommendation_for_university_h200_vs_rtx/o8dbpyv/ | false | 1 |
t1_o8dbnji | Have you fact checked the result? Tested 35b a3b on some wallpaper photo, it guessed the location correctly, but description was a bunch of convincing but incorrect bullshit. Wouldn't trust 4b at all. | 1 | 0 | 2026-03-03T06:37:06 | def_not_jose | false | null | 0 | o8dbnji | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8dbnji/ | false | 1 |
t1_o8dbmbh | You know you can run it fully locally right? It’s wayyyyyyyyy better at deciding what tools to use and when. Idk what black magic anthopic did to achieve it but the hype is real. | 1 | 0 | 2026-03-03T06:36:47 | ThinkExtension2328 | false | null | 0 | o8dbmbh | false | /r/LocalLLaMA/comments/1rjg5qm/qwen3535ba3b_vs_qwen3_coder_30b_a3b_instruct_for/o8dbmbh/ | false | 1 |
t1_o8dbllh | May I know M4 16GB and how much storage for quite of that models to run? | 1 | 0 | 2026-03-03T06:36:36 | nvcken | false | null | 0 | o8dbllh | false | /r/LocalLLaMA/comments/1rhi4oy/new_macbook_air_m4_24gb_of_ram_do_you_have_this/o8dbllh/ | false | 1 |
t1_o8dbjyc | Thanks for actually running it on an LLM — that’s exactly the kind of blind test I was hoping for.
The surprise you felt (“that’s exactly the response I got”) is the strongest signal so far: the three-vignette sequence (Professor → Driver → Bird) seems to reliably elicit the same pattern — check assumptions both way... | 1 | 0 | 2026-03-03T06:36:12 | RTS53Mini | false | null | 0 | o8dbjyc | false | /r/LocalLLaMA/comments/1riat5w/vignettes_handy_for_ais/o8dbjyc/ | false | 1 |
t1_o8dbgxk | thats what i mean...you can use 4b.. thats fine.. you dont understand what "thikning" means...
"hey guys i am using this *thinking* models and it *thinks* hur hur... it THINKS! how stupid is it!! hur hur!!"
meanwhile everyone else around you: -_- | 1 | 0 | 2026-03-03T06:35:28 | howardhus | false | null | 0 | o8dbgxk | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8dbgxk/ | false | 1 |
t1_o8dbfyl | When is this gguf from? There was a re-upload Feb 27-28 fixing template issues with tool calls.
Also your sampler settings are wrong for reliable agentic work. Llama.cpp defaults to
temp=0.8 topk=40 topp=0.95 minp=0.05
for qwen3.5 with reasoning and tools you want
temp=0.6 topk=20 topp=0.95 minp=0.00
and w... | 1 | 0 | 2026-03-03T06:35:14 | 666666thats6sixes | false | null | 0 | o8dbfyl | false | /r/LocalLLaMA/comments/1rjhy83/tool_calling_issues_with_qwen3535b_with_16gb_vram/o8dbfyl/ | false | 1 |
t1_o8dbdbu | Lmk if you find any cool stuff | 1 | 0 | 2026-03-03T06:34:36 | Popular-Factor3553 | false | null | 0 | o8dbdbu | false | /r/LocalLLaMA/comments/1ri2irg/breaking_today_qwen_35_small/o8dbdbu/ | false | 1 |
t1_o8db7sr | even the tiniest llm is much larger than the models previously used for such tasks | 1 | 0 | 2026-03-03T06:33:16 | Sad-Grocery-1570 | false | null | 0 | o8db7sr | false | /r/LocalLLaMA/comments/1rirlau/breaking_the_small_qwen35_models_have_been_dropped/o8db7sr/ | false | 1 |
t1_o8db5tp | That is a helpful post, but will say- the answer to your question is almost certainly RustDesk. I have a similar setup, though Fedora XFCE, not Wayland (asterisk)- but RustDesk is far and away the best remote desktop I've worked with. I talk to my 4k desktops from the coffee shop wifi via wireguard, and it is like just... | 1 | 0 | 2026-03-03T06:32:46 | jonahbenton | false | null | 0 | o8db5tp | false | /r/LocalLLaMA/comments/1rjh5wg/unsloth_fixed_version_of_qwen3535ba3b_is/o8db5tp/ | false | 1 |
t1_o8db5lx | Don't have to worry about opening up you PC for the most part. LM Studio you need to turn that stuff on and I'm sure Llama.cpp it probably defaults to localhost (127.0.0.1). The only way to open it up to the internet is if you do port forwarding to that PC.
"...with vLLM you have to serve stuff to yourself", I'm guess... | 1 | 0 | 2026-03-03T06:32:43 | lemondrops9 | false | null | 0 | o8db5lx | false | /r/LocalLLaMA/comments/1rjfqib/why_are_the_ollama_quants_of_local_llm_models/o8db5lx/ | false | 1 |
t1_o8db3ya | Try any thing llm | 1 | 0 | 2026-03-03T06:32:19 | Individual_Page9676 | false | null | 0 | o8db3ya | false | /r/LocalLLaMA/comments/1rjcqm5/qwen_35_4b_is_scary_smart/o8db3ya/ | false | 1 |
t1_o8dawbz | It does?? | 1 | 0 | 2026-03-03T06:30:29 | Popular-Factor3553 | false | null | 0 | o8dawbz | false | /r/LocalLLaMA/comments/1ri2irg/breaking_today_qwen_35_small/o8dawbz/ | false | 1 |
t1_o8dasdf | it did not work well for coding in my testing with pi coder agent | 1 | 0 | 2026-03-03T06:29:33 | Hot_Turnip_3309 | false | null | 0 | o8dasdf | false | /r/LocalLLaMA/comments/1riwy9w/is_qwen359b_enough_for_agentic_coding/o8dasdf/ | false | 1 |
t1_o8das40 | It's 196B-A11B | 1 | 0 | 2026-03-03T06:29:29 | FriskyFennecFox | false | null | 0 | o8das40 | false | /r/LocalLLaMA/comments/1rj4zy3/stepfun_releases_2_base_models_for_step_35_flash/o8das40/ | false | 1 |
t1_o8daqwn | How would you react if a stranger walked up to you and said hi and nothing else? Have some empathy! | 1 | 0 | 2026-03-03T06:29:12 | jax_cooper | false | null | 0 | o8daqwn | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8daqwn/ | false | 1 |
t1_o8daoc9 | Ah ok, i cannot use qwen3.5 4b for my project but they released the model benchmarking it on the IFBench dataset.
Thank God I’m not as stupid as you. Peace. | 1 | 0 | 2026-03-03T06:28:34 | CapitalShake3085 | false | null | 0 | o8daoc9 | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8daoc9/ | false | 1 |
t1_o8danqa | Are you running it on the new android terminal Linux environment? | 1 | 0 | 2026-03-03T06:28:25 | iamapizza | false | null | 0 | o8danqa | false | /r/LocalLLaMA/comments/1rjb7yk/psa_if_you_want_to_test_new_models_use/o8danqa/ | false | 1 |
t1_o8daniz | Imagine using windows in 2026 | 1 | 0 | 2026-03-03T06:28:22 | freehuntx | false | null | 0 | o8daniz | false | /r/LocalLLaMA/comments/1rjb7yk/psa_if_you_want_to_test_new_models_use/o8daniz/ | false | 1 |
t1_o8dal33 | I would say TokKong. It has a local Whisper model and a local LLM model, and it synchronizes all information between macOS and iOS devices. I always use it to transcribe my meeting audio recordings and then use the local AI to make summaization. | 1 | 0 | 2026-03-03T06:27:46 | Fabulous_Tip_8539 | false | null | 0 | o8dal33 | false | /r/LocalLLaMA/comments/1mtin36/best_private_local_llm_app_ios/o8dal33/ | false | 1 |
t1_o8dainr | A 196B truly base model is ***huuuuge*** ! And the license's permissive, too! So many use cases. | 1 | 0 | 2026-03-03T06:27:12 | FriskyFennecFox | false | null | 0 | o8dainr | false | /r/LocalLLaMA/comments/1rj4zy3/stepfun_releases_2_base_models_for_step_35_flash/o8dainr/ | false | 1 |
t1_o8da89k | Qwen runs agentic tasks well with reasoning on, it will typically at least summarize the intentions before emitting a tool call. It's still beneficial to keep temperature lower to minimize the indecisiveness. | 1 | 0 | 2026-03-03T06:24:44 | 666666thats6sixes | false | null | 0 | o8da89k | false | /r/LocalLLaMA/comments/1rik253/psa_qwen_35_requires_bf16_kv_cache_not_f16/o8da89k/ | false | 1 |
t1_o8da1yn | Should be, given how faster MoE is vs their dense equivalent. However, I don't believe that current generation of small MoE can reliably coordinate to converge toward a goal. It's likely that they can go back and forth and would be quite entertaining to look at, but unlikely produce real improvement vs simpler approach... | 1 | 0 | 2026-03-03T06:23:13 | o0genesis0o | false | null | 0 | o8da1yn | false | /r/LocalLLaMA/comments/1rjd4pv/qwen_25_3_35_smallest_models_incredible/o8da1yn/ | false | 1 |
t1_o8d9yhc | I asked the same thing and at one point it got stuck in an infinite loop second guessing itself. I'm new to trying open source models extensively so maybe me using ollama is the problem like others have stated. Still very weird to see this happen | 1 | 0 | 2026-03-03T06:22:23 | casualcoder47 | false | null | 0 | o8d9yhc | false | /r/LocalLLaMA/comments/1rj8x1q/qwen35_4b_overthinking_to_say_hello/o8d9yhc/ | false | 1 |
t1_o8d9xv4 | ty for the feed back, its good qualitative evidence for later. | 1 | 0 | 2026-03-03T06:22:14 | RTS53Mini | false | null | 0 | o8d9xv4 | false | /r/LocalLLaMA/comments/1riat5w/vignettes_handy_for_ais/o8d9xv4/ | false | 1 |
t1_o8d9vc7 | because the latest version isn't released yet? or something else? | 1 | 0 | 2026-03-03T06:21:38 | OkUnderstanding420 | false | null | 0 | o8d9vc7 | false | /r/LocalLLaMA/comments/1rj5ngc/running_qwen3508b_on_my_7yearold_samsung_s10e/o8d9vc7/ | false | 1 |
t1_o8d9q0f | Did it work with tool calling? | 1 | 0 | 2026-03-03T06:20:22 | SnoopCM | false | null | 0 | o8d9q0f | false | /r/LocalLLaMA/comments/1riwy9w/is_qwen359b_enough_for_agentic_coding/o8d9q0f/ | false | 1 |
t1_o8d9okq | For those you don't need to watch their GPU and CPU heat levels. Hope this helps | 1 | 0 | 2026-03-03T06:20:02 | afkie | false | null | 0 | o8d9okq | false | /r/LocalLLaMA/comments/1rjhfow/thinking_of_finetuning_llama7b_with_100k_samples/o8d9okq/ | false | 1 |
t1_o8d9oef | 27B is a dense model and requires a lot of hardware to drive with any decent speed especially to a lot of people. Most MoE models are only activating 3 or 10B parameters at a time. | 1 | 0 | 2026-03-03T06:20:00 | SillyLilBear | false | null | 0 | o8d9oef | false | /r/LocalLLaMA/comments/1rj9bl7/api_price_for_the_27b_qwen_35_is_just_outrageous/o8d9oef/ | false | 1 |
t1_o8d9nk0 | Thank You for help.
I need to fine tuning for one specific task (medical domain) like about drug.
I explored and find potential candidates:
Llama
Biomistral
Mistral
I will also explore qwen.
And can't I fine tune 7b with QLoRA method?
And what do think about other tools google colab and replicate etc.
Can You p... | 1 | 0 | 2026-03-03T06:19:48 | SUPRA_1934 | false | null | 0 | o8d9nk0 | false | /r/LocalLLaMA/comments/1rjhfow/thinking_of_finetuning_llama7b_with_100k_samples/o8d9nk0/ | false | 1 |
t1_o8d9lf8 | Change these parameters to avoid the endless thinking, as instructed in the [model card](https://huggingface.co/Qwen/Qwen3.5-9B) on hugging face. That solved it for me:
* Thinking mode for general tasks: `temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0`
* Thinking mode fo... | 1 | 0 | 2026-03-03T06:19:19 | MarzipanTop4944 | false | null | 0 | o8d9lf8 | false | /r/LocalLLaMA/comments/1rirlyb/qwenqwen359b_hugging_face/o8d9lf8/ | false | 1 |
t1_o8d9la9 | what the agent ?
| 1 | 0 | 2026-03-03T06:19:17 | Powerful_Evening5495 | false | null | 0 | o8d9la9 | false | /r/LocalLLaMA/comments/1rjfvfx/qwen3535b_is_very_resourceful_web_search_wasnt/o8d9la9/ | false | 1 |
t1_o8d9b2u | I tried Step Flash at around IQ4\_XS which I was able to make fit into my Strix Halo but I ended up deleting it. It was reciting the code incorrectly and repeating tokens in paths which made them incorrect, and these are hallmarks of quantization damage in the model in my experience. When it can't repeat tokens it sees... | 1 | 0 | 2026-03-03T06:16:52 | audioen | false | null | 0 | o8d9b2u | false | /r/LocalLLaMA/comments/1ritr5v/oss120b_beats_all_open_models_but_one_in_new/o8d9b2u/ | false | 1 |
t1_o8d9b0v | I just tested it on LM Studio. Just make sure to update the runtime and change this parameters on the model as instructed in the model [card here](https://huggingface.co/Qwen/Qwen3.5-9B) or it will enter in an infinite loop when you ask it for basic stuff like counting the 'r' in strawberry.
This is what you need to c... | 1 | 0 | 2026-03-03T06:16:51 | MarzipanTop4944 | false | null | 0 | o8d9b0v | false | /r/LocalLLaMA/comments/1rirlyb/qwenqwen359b_hugging_face/o8d9b0v/ | false | 1 |
t1_o8d9aii | Ask it who is the current US president. It will say Joe Biden. | 1 | 0 | 2026-03-03T06:16:44 | guggaburggi | false | null | 0 | o8d9aii | false | /r/LocalLLaMA/comments/1rguzz2/qwen_35_cutoff_date_is_2024/o8d9aii/ | false | 1 |
t1_o8d9310 | A typical vnc server set up won't work? Thanks for the write up, I will definitely check this model out, I haven't really used open webui but this sounds actually useful | 1 | 0 | 2026-03-03T06:14:58 | Hefty_Development813 | false | null | 0 | o8d9310 | false | /r/LocalLLaMA/comments/1rjh5wg/unsloth_fixed_version_of_qwen3535ba3b_is/o8d9310/ | false | 1 |
t1_o8d907j | Hey, I am also working on a similar project and will return here if I find anything. Qwen3.5 could be promising. I wonder how hard it is to fine-tune one of the smaller models | 1 | 0 | 2026-03-03T06:14:20 | Dense_Addendum_4755 | false | null | 0 | o8d907j | false | /r/LocalLLaMA/comments/1ri5el2/local_mllm_for_gui_automation_visual_grounding/o8d907j/ | false | 1 |
t1_o8d8ukj | use opencode and the 27b. the 27b is leagues smarter | 1 | 0 | 2026-03-03T06:12:59 | FusionCow | false | null | 0 | o8d8ukj | false | /r/LocalLLaMA/comments/1rjg5qm/qwen3535ba3b_vs_qwen3_coder_30b_a3b_instruct_for/o8d8ukj/ | false | 1 |
t1_o8d8rq6 | TLDR: It's more compute efficient, especially at larger contexts, since it doesn't have to compute the full attention each time.
A basic explanation why:
Transformers basically aim to map the relation of each token to every other token in a sequence/chat. This is done through the attention mechanism.
Full attent... | 1 | 0 | 2026-03-03T06:12:17 | _yustaguy_ | false | null | 0 | o8d8rq6 | false | /r/LocalLLaMA/comments/1rj6m71/qwen_35_27b_a_testament_to_the_transformer/o8d8rq6/ | false | 1 |
t1_o8d8qoq | Provided some paragraphs from a book and asked to summarize them, they wont do it because that infringes on copywrited materials | 1 | 0 | 2026-03-03T06:12:02 | adolfin4 | false | null | 0 | o8d8qoq | false | /r/LocalLLaMA/comments/1re17th/blown_away_by_qwen_35_35b_a3b/o8d8qoq/ | false | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.