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_jgp71qn | Llama isn’t censored, and this is a recreation of it, so it shouldn’t be. | 10 | 0 | 2023-04-18T03:11:16 | pokeuser61 | false | null | 0 | jgp71qn | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgp71qn/ | false | 10 |
t1_jgp56fr | The price of used 3090s has already climbed, not even since the low point right after the crypto crash, but even over the last couple of months and the last month especially. To be completely honest I doubt it's from us AI at home hobbyists but more likely gamers that are a bit more in the know about how their 3070 or ... | 2 | 0 | 2023-04-18T02:56:18 | GrandDemand | false | null | 0 | jgp56fr | false | /r/LocalLLaMA/comments/12lynw8/is_anyone_else_super_eager_to_upgrade_their/jgp56fr/ | false | 2 |
t1_jgp4fkn | I will be messaging you in 1 day on [**2023-04-19 02:49:40 UTC**](http://www.wolframalpha.com/input/?i=2023-04-19%2002:49:40%20UTC%20To%20Local%20Time) to remind you of [**this link**](https://www.reddit.com/r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgp4bhr/?context=3)
[**CLICK THIS... | 0 | 0 | 2023-04-18T02:50:34 | RemindMeBot | false | null | 0 | jgp4fkn | false | /r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgp4fkn/ | false | 0 |
t1_jgp4bhr | !remindme 24 hours | 1 | 0 | 2023-04-18T02:49:40 | yuicebox | false | null | 0 | jgp4bhr | false | /r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgp4bhr/ | false | 1 |
t1_jgp3omj | I've read that xformers does basically nothing in LLMs. Is that not the case? | 1 | 0 | 2023-04-18T02:44:48 | TeamPupNSudz | false | null | 0 | jgp3omj | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgp3omj/ | false | 1 |
t1_jgp3nqb | Yes CPU for that test but the latest version of koboldcpp uses CPU and GPU which seems promising.
I'm using quantized models of course so some limitations, but definitely the cheapest route right now. | 3 | 0 | 2023-04-18T02:44:37 | ThePseudoMcCoy | false | null | 0 | jgp3nqb | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgp3nqb/ | false | 3 |
t1_jgp1spy | Can't you lora the 2.0 with NSFW? | 3 | 0 | 2023-04-18T02:30:11 | a_beautiful_rhind | false | null | 0 | jgp1spy | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgp1spy/ | false | 3 |
t1_jgp1rjo | That's both on Cpu?
Reason i'm asking is, i am currently in the market for a new gpu around the 250€ because my previous one died. I wanted to buy a Arc A750 but those have only 8gb Vram, but if direct storage doesn't work that great i might want to reconsider. | 1 | 0 | 2023-04-18T02:29:55 | phoenystp | false | null | 0 | jgp1rjo | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgp1rjo/ | false | 1 |
t1_jgp1c66 | I had 32 gigs of ram and I ran a 65b model that used my NVMe cache for the extra 15 or so gigs of ram it needed.
It was about 1 word every 15 seconds. Brutally slow.
I now have 64 gigs of ram and it's running at a normal speed.
As fast as my Samsung NVMe drive is, ram is much faster. | 7 | 0 | 2023-04-18T02:26:35 | ThePseudoMcCoy | false | null | 0 | jgp1c66 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgp1c66/ | false | 7 |
t1_jgozwb1 | If I cleaned up the data a bit better, it would be better at pulling more specific information, right now some of it appears pretty random but overall it can retrieve generalized conversations around the prompt. For example I tried "should I buy a tesla" and it replied: "yeah, i am not rich enough yet", "That's how u k... | 9 | 0 | 2023-04-18T02:15:43 | JustCametoSayHello | false | null | 0 | jgozwb1 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgozwb1/ | false | 9 |
t1_jgoxyvl | I guess it's not particularly good at pulling facts from the data? Like, if one of your friends had mentioned buying a new car in the training data, and you asked the AI "Hey man, what kind of car do you drive again?", it wouldn't be able to give you the correct answer? | 4 | 0 | 2023-04-18T02:01:06 | candre23 | false | null | 0 | jgoxyvl | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgoxyvl/ | false | 4 |
t1_jgowo7r | Abstract:
>Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field. In this paper, we present the first attempt to use language-only GPT-4 to generate multimodal language-i... | 6 | 0 | 2023-04-18T01:51:26 | ninjasaid13 | false | null | 0 | jgowo7r | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgowo7r/ | false | 6 |
t1_jgovp3u | single biggest change they made that changed the trajectory of /r/StableDiffusion when 2.0 came out and no NSFW training was done. All of the models are still based on 1.5 which wasn't bad. I can see chat bots like this going the same way | 11 | 0 | 2023-04-18T01:44:01 | rgraves22 | false | null | 0 | jgovp3u | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgovp3u/ | false | 11 |
t1_jgovjvl | Alpaca.cpp is so outdated, why are you using it instead of llama.cpp? | 4 | 0 | 2023-04-18T01:42:53 | pokeuser61 | false | null | 0 | jgovjvl | false | /r/LocalLLaMA/comments/12pyjn1/how_to_run_a_custom_batch_file_for_alpacacpp/jgovjvl/ | false | 4 |
t1_jgot5mf | Right, this was all about the alpaca dataset | 1 | 0 | 2023-04-18T01:24:48 | wind_dude | false | null | 0 | jgot5mf | false | /r/LocalLLaMA/comments/11xbu7d/how_to_do_llama_30b_4bit_finetuning/jgot5mf/ | false | 1 |
t1_jgorvjy | Thanks for sharing! | 1 | 0 | 2023-04-18T01:15:06 | m0lest | false | null | 0 | jgorvjy | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgorvjy/ | false | 1 |
t1_jgopnyu | But blip2 already interface with an LLM out the box. What is the main reason to switch it to a llama? | 1 | 0 | 2023-04-18T00:58:42 | Faintly_glowing_fish | false | null | 0 | jgopnyu | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgopnyu/ | false | 1 |
t1_jgopgef | But why don’t you use googles free ocr package for that which is free and runs on CPUs | 1 | 0 | 2023-04-18T00:57:09 | Faintly_glowing_fish | false | null | 0 | jgopgef | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgopgef/ | false | 1 |
t1_jgontkm | Is `>PROMPT` just part of the interface or are you actually sending it as part of the response?
Also, keep in mind LLMs are trained on patterns in the language. That means context is generally really important: if your request relates to what they were trained on, you'll generally get better responses.
A lot of your ... | 1 | 0 | 2023-04-18T00:44:54 | KerfuffleV2 | false | null | 0 | jgontkm | false | /r/LocalLLaMA/comments/12o2tsi/newbie_installed_dalai_with_llama_locally_trying/jgontkm/ | false | 1 |
t1_jgon3ci | I found out that [https://docs.trychroma.com/](https://docs.trychroma.com/) would do what I need, though I did also get a pinecone API key. :) | 1 | 0 | 2023-04-18T00:39:33 | Common_Ad_6362 | false | null | 0 | jgon3ci | false | /r/LocalLLaMA/comments/12nh2bz/new_to_llama_trying_to_create_a_personal_project/jgon3ci/ | false | 1 |
t1_jgomxi3 | Yep. There's a few different limits, but the main one comes down to tokens that it can hold in its brain during a single conversation. | 1 | 0 | 2023-04-18T00:38:22 | Common_Ad_6362 | false | null | 0 | jgomxi3 | false | /r/LocalLLaMA/comments/12nh2bz/new_to_llama_trying_to_create_a_personal_project/jgomxi3/ | false | 1 |
t1_jgojdad | Apparently, the Vicuna 1.1 weights solve that issue. | 1 | 0 | 2023-04-18T00:12:02 | RYSKZ | false | null | 0 | jgojdad | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgojdad/ | false | 1 |
t1_jgohfka | Tested it in 8bit mode with a few screenshots, couldn't get it to read the text. It kept telling me it was too blurry and it couldn't make out the words. | 2 | 0 | 2023-04-17T23:57:25 | frownGuy12 | false | null | 0 | jgohfka | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgohfka/ | false | 2 |
t1_jgocse9 | If you are using an RTX 3090 24GB, you can use a 30B model quantized at 4bit:
\- Alpaca-30b (4-bit GPTQ): 7.73 tokens/s ("alpaca" test prompt, "llama-precise" preset) This is the main one i would run on an RTX 3090.
\- Vicuna-13b (8-bit bitsandbytes): 4.97 tokens/s (same config, as above)
On the other hand, I had ... | 1 | 0 | 2023-04-17T23:22:44 | perlamer | false | null | 0 | jgocse9 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgocse9/ | false | 1 |
t1_jgobrr3 | Running two E5-2650 at 2.2GHz (12 cores and 24 threads each), 384GB of DDR4 RAM, two Nvidia Grids. | 2 | 0 | 2023-04-17T23:15:11 | redfoxkiller | false | null | 0 | jgobrr3 | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgobrr3/ | false | 2 |
t1_jgobqqx | not right now dude, we need vector databases to be more accessible and linkable to our llamas. Right now you can use pinecone with chatgpt for what you described - pinecone will let you encode all your data into embedding to feed chatgpt api. For local installation you have to either wait, or finetune your llama with l... | 1 | 0 | 2023-04-17T23:14:57 | LienniTa | false | null | 0 | jgobqqx | false | /r/LocalLLaMA/comments/12nh2bz/new_to_llama_trying_to_create_a_personal_project/jgobqqx/ | false | 1 |
t1_jgobh15 | Please don't censor it. | 18 | 0 | 2023-04-17T23:12:55 | a_beautiful_rhind | false | null | 0 | jgobh15 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgobh15/ | false | 18 |
t1_jgob7e3 | This is awesome news. LLaMA itself is very impressive in how it can be fine tuned for more specific tasks. A truly open model that's as good of a starting point will blow the lid off what the community can do with AI. | 10 | 0 | 2023-04-17T23:10:54 | synn89 | false | null | 0 | jgob7e3 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgob7e3/ | false | 10 |
t1_jgoanme | They seem to be pretty determined: 1.2 Trillion Tokens. That's crazy | 17 | 0 | 2023-04-17T23:06:50 | Rudy-Ls | false | null | 0 | jgoanme | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgoanme/ | false | 17 |
t1_jgo9dik | What's your rig setup to run the 64B models? | 3 | 0 | 2023-04-17T22:57:27 | SubjectBridge | false | null | 0 | jgo9dik | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgo9dik/ | false | 3 |
t1_jgo8zam | [removed] | 1 | 0 | 2023-04-17T22:54:39 | [deleted] | true | null | 0 | jgo8zam | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jgo8zam/ | false | 1 |
t1_jgo69xr | This repo supports creating LoRAs against 4-bit models: https://github.com/johnsmith0031/alpaca_lora_4bit
This means you can take a 4-bit base, fine-tune it, and apply the lora to the base model for inference. Pretty much a dream come true. | 3 | 0 | 2023-04-17T22:33:57 | tronathan | false | null | 0 | jgo69xr | false | /r/LocalLLaMA/comments/11xbu7d/how_to_do_llama_30b_4bit_finetuning/jgo69xr/ | false | 3 |
t1_jgo5z0u | Lora training time varies based on size of material you’re training on. | 1 | 0 | 2023-04-17T22:31:33 | tronathan | false | null | 0 | jgo5z0u | false | /r/LocalLLaMA/comments/11xbu7d/how_to_do_llama_30b_4bit_finetuning/jgo5z0u/ | false | 1 |
t1_jgo5ino | yeah with a strong open model more player would contribute. Not everyone likes greyzone. | 1 | 0 | 2023-04-17T22:28:00 | harusasake | false | null | 0 | jgo5ino | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgo5ino/ | false | 1 |
t1_jgo56ns | I'm just using it out of the box, with clblast and smartcontext. Other than that, I am not an expert here, just a satisfied customer. | 1 | 0 | 2023-04-17T22:25:24 | RiotNrrd2001 | false | null | 0 | jgo56ns | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgo56ns/ | false | 1 |
t1_jgo4r5b | OK, thanks for the reply. I respect your decision.
Disagree with your two counterpoints... But I won't trouble you with details unless you want to hear more. :) | 1 | 0 | 2023-04-17T22:22:07 | andw1235 | false | null | 0 | jgo4r5b | false | /r/LocalLLaMA/comments/12oobon/how_to_install_textgenerationwebui_a_gui_for_llms/jgo4r5b/ | false | 1 |
t1_jgo4f3x | They have all my love. We really need this. But let’s see if they can really do as well as a big company; I am certainly hoping they would and I’m even hopeful it will be even better than llama | 5 | 0 | 2023-04-17T22:19:35 | Faintly_glowing_fish | false | null | 0 | jgo4f3x | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgo4f3x/ | false | 5 |
t1_jgo3pwu | That sounds very promising indeed. A collaboration of academic and professional AI institutes and research groups including Stanford university, recreating an open-source LLaMA-like model? Yesss!
There are multiple open source models around, with Open Assistant being the newest release, but they all are either based o... | 35 | 0 | 2023-04-17T22:14:13 | WolframRavenwolf | false | null | 0 | jgo3pwu | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgo3pwu/ | false | 35 |
t1_jgo3bq4 | Is there a configuration setting I can use to feed it more of my GPU's processing power? It's correctly identifying "Using Platform: NVIDIA CUDA Device: NVIDIA GeForce RTX 3080 Ti" but my GPU use isn't going above 40% and it's taking 110-160 seconds for a response. I tried defining the number of threads to use within t... | 1 | 0 | 2023-04-17T22:11:10 | Warp_Preacher | false | null | 0 | jgo3bq4 | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgo3bq4/ | false | 1 |
t1_jgo0rrt | Thanks! That worked. --autolaunch also needed to be --auto-launch with a hyphen, smh. | 2 | 0 | 2023-04-17T21:52:36 | Commercial_Way_8217 | false | null | 0 | jgo0rrt | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgo0rrt/ | false | 2 |
t1_jgnzq1j | I believe it has all The same parameter adjustments in the GUI. | 1 | 0 | 2023-04-17T21:45:24 | ThePseudoMcCoy | false | null | 0 | jgnzq1j | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgnzq1j/ | false | 1 |
t1_jgnz93p | Amazing. I wonder if the curated github code will make it smarter. I read it appears likely that the models get complex reasoning from the training on code [https://twitter.com/abacaj/status/1647999551964323844](https://twitter.com/abacaj/status/1647999551964323844)
edit: apparently: [https://news.ycombinator.com/thre... | 24 | 0 | 2023-04-17T21:42:12 | ambient_temp_xeno | false | 2023-04-17T22:02:40 | 0 | jgnz93p | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgnz93p/ | false | 24 |
t1_jgnyeq2 | >The reasons are (1) it's going to hurt my Google ranking in the short term
It's actually the opposite. Traffic from Reddit is free traffic to your site. If you don't share your site anywhere, your visibility is lower. By posting here, you drive traffic to your website. Another user has posted their personal site here... | 1 | 0 | 2023-04-17T21:36:29 | Civil_Collection7267 | false | null | 0 | jgnyeq2 | false | /r/LocalLLaMA/comments/12oobon/how_to_install_textgenerationwebui_a_gui_for_llms/jgnyeq2/ | false | 1 |
t1_jgnwo4i | What is the goal with this model? Something similar to ChatGPT? | 1 | 0 | 2023-04-17T21:24:37 | pepe256 | false | null | 0 | jgnwo4i | false | /r/LocalLLaMA/comments/12ozm3g/carperai_made_vicuna_rlhf_release_soon/jgnwo4i/ | false | 1 |
t1_jgnvcml | No, but you can try OpenAssistant, which is a finetuned version of LLaMA 30B.
[https://open-assistant.io](https://open-assistant.io)
Right now, it's not that good. Some people say Vicuna is better, which is a 13B model. | 1 | 0 | 2023-04-17T21:15:48 | Civil_Collection7267 | false | null | 0 | jgnvcml | false | /r/LocalLLaMA/comments/12pwuvc/trying_out_llama_65b_on_a_website/jgnvcml/ | true | 1 |
t1_jgnt5m3 | Is this for commercial use? | 2 | 0 | 2023-04-17T21:01:08 | tocrypto | false | null | 0 | jgnt5m3 | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgnt5m3/ | false | 2 |
t1_jgnq93n | I have an additional question...
After thinking about it, I do not want to post the whole content as a post. The reasons are (1) it's going to hurt my Google ranking in the short term, and (2) create legal issues for my copyright in the long term.
I do think my guides provides value to this subreddit:
- they are more... | 1 | 0 | 2023-04-17T20:42:18 | andw1235 | false | null | 0 | jgnq93n | false | /r/LocalLLaMA/comments/12oobon/how_to_install_textgenerationwebui_a_gui_for_llms/jgnq93n/ | false | 1 |
t1_jgnnu7x | Isn't CPU so much slower, regardless of ram? I did inference on CPU for shits and giggles and it's much slower, training can't be any better. | 1 | 0 | 2023-04-17T20:26:39 | a_beautiful_rhind | false | null | 0 | jgnnu7x | false | /r/LocalLLaMA/comments/12o1nrl/why_are_llms_read_only/jgnnu7x/ | false | 1 |
t1_jgnmm9j | code generation is weak, see my comparison [https://github.com/AI-LLM/ai-llm.github.io/blob/main/Code-LLM-alternatives.md](https://github.com/AI-LLM/ai-llm.github.io/blob/main/Code-LLM-alternatives.md) | 1 | 0 | 2023-04-17T20:18:50 | edlab_fi | false | null | 0 | jgnmm9j | false | /r/LocalLLaMA/comments/12lkc49/twitter_announcing_gpt4allj_the_first_apache2/jgnmm9j/ | false | 1 |
t1_jgnlpj6 | code generation is weak in GPT4ALL-J [https://github.com/AI-LLM/ai-llm.github.io/blob/main/Code-LLM-alternatives.md](https://github.com/AI-LLM/ai-llm.github.io/blob/main/Code-LLM-alternatives.md) . Would be better in this? | 1 | 0 | 2023-04-17T20:12:54 | edlab_fi | false | null | 0 | jgnlpj6 | false | /r/LocalLLaMA/comments/12562xt/gpt4all_llama_7b_lora_finetuned_on_400k/jgnlpj6/ | false | 1 |
t1_jgnklki | Is it possible to copy my LLaMA parameters/data/weights to an install of Kobold? I'd love to run on my GPU rather than CPU (or to use both,) but I don't want to lose what I've worked on with LLaMA so far. | 1 | 0 | 2023-04-17T20:05:48 | Warp_Preacher | false | null | 0 | jgnklki | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgnklki/ | false | 1 |
t1_jgnj9kc | Edit: seems like it's meant for playing a long text adventure. | 2 | 0 | 2023-04-17T19:57:03 | ambient_temp_xeno | false | 2023-04-17T20:10:13 | 0 | jgnj9kc | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgnj9kc/ | false | 2 |
t1_jgnhbat | [removed] | 2 | 0 | 2023-04-17T19:44:26 | [deleted] | true | null | 0 | jgnhbat | false | /r/LocalLLaMA/comments/12ozm3g/carperai_made_vicuna_rlhf_release_soon/jgnhbat/ | false | 2 |
t1_jgnh7cw | I'm thinking to do Inference on the GPU for responsiveness, and training on the CPU using system RAM. With my proposed method based on spaced repetition, it will only have to do minimal training I think. | 2 | 0 | 2023-04-17T19:43:44 | sswam | false | null | 0 | jgnh7cw | false | /r/LocalLLaMA/comments/12o1nrl/why_are_llms_read_only/jgnh7cw/ | false | 2 |
t1_jgnevxr | [deleted] | 2 | 0 | 2023-04-17T19:28:57 | [deleted] | true | null | 0 | jgnevxr | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgnevxr/ | false | 2 |
t1_jgndm58 | There is no easy toolset for RLHF right now. Like with thumbs up and thumbs down for responses.
And I know I can use a lora on the webui or the 4bit loras repo but that requires assembling the dataset and then training on that. Different process. | 2 | 0 | 2023-04-17T19:20:45 | a_beautiful_rhind | false | null | 0 | jgndm58 | false | /r/LocalLLaMA/comments/12ozm3g/carperai_made_vicuna_rlhf_release_soon/jgndm58/ | false | 2 |
t1_jgnasy7 | Anyone has converted this to ggml? | 1 | 0 | 2023-04-17T19:02:26 | rini17 | false | null | 0 | jgnasy7 | false | /r/LocalLLaMA/comments/12jqy89/free_dolly_introducing_the_worlds_first_truly/jgnasy7/ | false | 1 |
t1_jgn9z0y | You already can though?
From the HuggingFace blog: [Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU](https://huggingface.co/blog/trl-peft). See also [StackLLaMA: A hands-on guide to train LLaMA with RLHF](https://huggingface.co/blog/stackllama).
You can also train a LoRA with [oobabooga's text-gen-webui](https:... | 2 | 0 | 2023-04-17T18:57:01 | ImCorvec_I_Interject | false | null | 0 | jgn9z0y | false | /r/LocalLLaMA/comments/12ozm3g/carperai_made_vicuna_rlhf_release_soon/jgn9z0y/ | false | 2 |
t1_jgn9e9s | That fixed this problem, now there are some other errors that i seem to be able to fix myself.
ModuleNotFoundError: No module named 'gradio'(Thank you VERY much for the help) | 1 | 0 | 2023-04-17T18:53:19 | superbfurryhater | false | 2023-04-17T19:28:27 | 0 | jgn9e9s | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jgn9e9s/ | false | 1 |
t1_jgn8muf | Hey me again! Can you link the documentation you followed to achieve this and potentially some output logs that really show the context length/quality of conversation? | 1 | 0 | 2023-04-17T18:48:30 | brothajones | false | null | 0 | jgn8muf | false | /r/LocalLLaMA/comments/12mzs2a/why_the_sizes_of_the_context_of_models_are_so/jgn8muf/ | false | 1 |
t1_jgn7zuu | That doesn't help me at all. I see a bunch of models. Now what? This crap is clearly not intended to be used by actual people. It's malicious compliance at best. Same story different decade. These people don't want to help people, they want to be bought out and retire.
The entire "open source" world is just linked in ... | -2 | 0 | 2023-04-17T18:44:27 | Innomen | false | null | 0 | jgn7zuu | false | /r/LocalLLaMA/comments/12nhozi/openassistant_released_the_worlds_best_opensource/jgn7zuu/ | false | -2 |
t1_jgn7wf8 | Are you trying to run the command while inside the GPTQ-for-LLaMa directory? You have to be in the main text-generation-webui directory.
cd \path\to\text-generation-webui
python server.py etc... | 1 | 0 | 2023-04-17T18:43:50 | Civil_Collection7267 | false | null | 0 | jgn7wf8 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jgn7wf8/ | false | 1 |
t1_jgn6ije | Learned something new. Thanks. | 4 | 0 | 2023-04-17T18:34:50 | darxkies | false | null | 0 | jgn6ije | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgn6ije/ | false | 4 |
t1_jgn6h3t | Hello! I seem to be having a weird problem: I went through the entire process of downloading the Llama-7b-4bit and at the last command there appeared this error.
C:\\Users\\\*Expunged for privacy\*\\miniconda3\\envs\\textgen\\python.exe: can't open file 'C:\\\\Windows\\\\System32\\\\text-generation-webui\\\\repositor... | 1 | 0 | 2023-04-17T18:34:35 | superbfurryhater | false | null | 0 | jgn6h3t | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jgn6h3t/ | false | 1 |
t1_jgn6er0 | The one they linked was 4 bit but not ggml. It needs to be ggml to work with the .cpp family of programs. | 3 | 0 | 2023-04-17T18:34:10 | GreaterAlligator | false | null | 0 | jgn6er0 | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgn6er0/ | false | 3 |
t1_jgn5q64 | Sorry, I usually run it on Linux but I believe if you edit your `start-webui.bat` and look near the end for the line:
`call python server.py …`
And add the flags you want to the end there =] | 3 | 0 | 2023-04-17T18:29:39 | disarmyouwitha | false | null | 0 | jgn5q64 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgn5q64/ | false | 3 |
t1_jgn4qho | That would be slick. I've tested bing with fixing text after an ocr that was incredibly garbled. I need to test llama on it but bing did great fixing complicated texts. I imagine with the original scan this thing would be crazy for that. | 3 | 0 | 2023-04-17T18:23:15 | artificial_genius | false | null | 0 | jgn4qho | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgn4qho/ | false | 3 |
t1_jgn3tmw | That makes sense I keep having issues cloning the hf repos as well although I was able to make it work with what they had in their repo. Glad you figured it out. | 1 | 0 | 2023-04-17T18:17:22 | artificial_genius | false | null | 0 | jgn3tmw | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgn3tmw/ | false | 1 |
t1_jgn2gn1 | Yeah, on a 3090 I'm getting around 15 tokens per second with a 13B Vicuna. Example parameters:
python server.py --wbits 4 --groupsize 128 --chat --model vicuna-13b-GPTQ-4bit-128g --listen --extension sd_api_pictures send_pictures --listen-port 7860 --model_type llama
13B's that are 4bit should only be using aroun... | 3 | 0 | 2023-04-17T18:08:28 | synn89 | false | null | 0 | jgn2gn1 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgn2gn1/ | false | 3 |
t1_jgn1pi4 | It eh, runs. It gets very confused in the beginning, and if doesn't dig itself out of the confusion, which happens anecdotally like 10% of the time, it gets stuck in a loop or errors out. But it looks more promising than anything else ATM | 3 | 0 | 2023-04-17T18:03:31 | Dany0 | false | null | 0 | jgn1pi4 | false | /r/LocalLLaMA/comments/12p9nmq/new_autovicuna_projects_seems_to_be_chugging/jgn1pi4/ | false | 3 |
t1_jgn1fr6 | This paper has a couple: https://arxiv.org/abs/2302.02083
This post by staplergiraffe has some https://www.reddit.com/r/LocalLLaMA/comments/12hfveg/alpaca_and_theory_of_mind/
Interestingly, Staplergiraffe's tests have a blue box. Things that make you go hmm!
It's definitely better scientifically to come up with uniq... | 4 | 0 | 2023-04-17T18:01:44 | ambient_temp_xeno | false | 2023-04-17T18:05:43 | 0 | jgn1fr6 | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgn1fr6/ | false | 4 |
t1_jgn12nc | Does it run? | 2 | 0 | 2023-04-17T17:59:20 | Keninishna | false | null | 0 | jgn12nc | false | /r/LocalLLaMA/comments/12p9nmq/new_autovicuna_projects_seems_to_be_chugging/jgn12nc/ | false | 2 |
t1_jgn072b | Yeah, still didn't work. I can't be certain, but I think it's something to do with the config files in the repo not being compatible with the 4bit version. I eventually managed to get it running by cloning the regular Alpaca 4bit repo and swapping out the safetensor file for Alpacino's. | 1 | 0 | 2023-04-17T17:53:40 | Jibbyy | false | null | 0 | jgn072b | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgn072b/ | false | 1 |
t1_jgmykbu | I have FP16 and 4bit models of all sorts. llamas, opt, llama derivatives, gpt-j gpt-neox, galactica, etc. | 2 | 0 | 2023-04-17T17:43:06 | a_beautiful_rhind | false | null | 0 | jgmykbu | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmykbu/ | false | 2 |
t1_jgmxo2p | The 40X0 architecture will certainly do it, but it needs about 20GB of VRAM to load a 30B 4-bit model. | 2 | 0 | 2023-04-17T17:37:24 | the_quark | false | null | 0 | jgmxo2p | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgmxo2p/ | false | 2 |
t1_jgmxc59 | Any chance there's a way to run 30B on a 4080? (16GB VRAM) | 1 | 0 | 2023-04-17T17:35:18 | dealingwitholddata | false | null | 0 | jgmxc59 | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgmxc59/ | false | 1 |
t1_jgmwuzd | [removed] | 1 | 0 | 2023-04-17T17:32:11 | [deleted] | true | null | 0 | jgmwuzd | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmwuzd/ | false | 1 |
t1_jgmwp8n | had the same, for me it was a missing file: [tokenizer.model](https://huggingface.co/digitous/Alpacino30b/blob/main/tokenizer.model) | 1 | 0 | 2023-04-17T17:31:08 | HatEducational9965 | false | null | 0 | jgmwp8n | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmwp8n/ | false | 1 |
t1_jgmwf3x | You'd need fifty 4bit 30B models to hit a terabyte. Not being critical, just confused how you could have so many different models. | 1 | 0 | 2023-04-17T17:29:19 | CheshireAI | false | null | 0 | jgmwf3x | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmwf3x/ | false | 1 |
t1_jgmvotn | Where can I find more reasoning tests like these? | 2 | 0 | 2023-04-17T17:24:39 | MentesInquisitivas | false | null | 0 | jgmvotn | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmvotn/ | false | 2 |
t1_jgmv93d | 7 | 0 | 2023-04-17T17:21:51 | morph3v5 | false | null | 0 | jgmv93d | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgmv93d/ | false | 7 | |
t1_jgmv6h9 | Not when I use tavern. In the local chat interface yes. | 1 | 0 | 2023-04-17T17:21:23 | a_beautiful_rhind | false | null | 0 | jgmv6h9 | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgmv6h9/ | false | 1 |
t1_jgmv5xu | Excellent, thank you! | 1 | 0 | 2023-04-17T17:21:17 | ambient_temp_xeno | false | null | 0 | jgmv5xu | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmv5xu/ | false | 1 |
t1_jgmuwq0 | Also, I don't know if they've solved the streaming thing yet (I haven't tried that), but they DID solve the stop sequences. Now I can say *Max output: 200*, and if it's done after 15 tokens it stops instead of grinding through 185 more. HUGE speedup in exchange turnaround. | 3 | 0 | 2023-04-17T17:19:39 | RiotNrrd2001 | false | null | 0 | jgmuwq0 | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgmuwq0/ | false | 3 |
t1_jgmuwi0 | [deleted] | 1 | 0 | 2023-04-17T17:19:36 | [deleted] | true | null | 0 | jgmuwi0 | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgmuwi0/ | false | 1 |
t1_jgmumvo | The 4bit is still big, especially 30b. | 1 | 0 | 2023-04-17T17:17:51 | a_beautiful_rhind | false | null | 0 | jgmumvo | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmumvo/ | false | 1 |
t1_jgmugte | AALM = As A Language Model style of preaching.
ex.
As a language model I can't have any fun. | 9 | 0 | 2023-04-17T17:16:46 | a_beautiful_rhind | false | null | 0 | jgmugte | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgmugte/ | false | 9 |
t1_jgmudk8 | Where do I put the argument? I tried putting
set COMMANDLINE\_ARGS= --autolaunch
in the start-webui.bat but it did not work. | 2 | 0 | 2023-04-17T17:16:11 | Commercial_Way_8217 | false | null | 0 | jgmudk8 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmudk8/ | false | 2 |
t1_jgmu9oy | >It took about a minute
That's what I said. *Forever*.
When waiting for a response, my sense of forever can be somewhat compressed. | 3 | 0 | 2023-04-17T17:15:30 | RiotNrrd2001 | false | null | 0 | jgmu9oy | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgmu9oy/ | false | 3 |
t1_jgmu3dh | —xformers is nice and works in Ooba.
Also try loading the model in 8bit with —load-in-8bit
(or try a 4bit quantized model!) | 1 | 0 | 2023-04-17T17:14:21 | disarmyouwitha | false | null | 0 | jgmu3dh | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmu3dh/ | false | 1 |
t1_jgmtnea | 15-20 tps on a 4090 with Alpaca x GPT 30b. Falling to around 10tps once context fills up. | 3 | 0 | 2023-04-17T17:11:30 | MotionTwelveBeeSix | false | null | 0 | jgmtnea | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmtnea/ | false | 3 |
t1_jgmsj1a | KoboldCpp now uses GPUs and is fast and I have had *zero* trouble with it.
Like I said, I spent two g-d days trying to get oobabooga to work. The thought of even trying a *seventh* time fills me with a heavy leaden sensation.
I'm fine with KoboldCpp for the time being. No aggravation at all. Oobabooga was *constan... | 5 | 0 | 2023-04-17T17:04:16 | RiotNrrd2001 | false | null | 0 | jgmsj1a | false | /r/LocalLLaMA/comments/12cfnqk/koboldcpp_combining_all_the_various_ggmlcpp_cpu/jgmsj1a/ | false | 5 |
t1_jgmrxg0 | What kind of numbers are you getting and with what hw? | 1 | 0 | 2023-04-17T17:00:21 | Commercial_Way_8217 | false | null | 0 | jgmrxg0 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmrxg0/ | false | 1 |
t1_jgmrnbo | You know you can just download the 4bit version and ignore the bin files, right? | 1 | 0 | 2023-04-17T16:58:32 | CheshireAI | false | null | 0 | jgmrnbo | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmrnbo/ | false | 1 |
t1_jgmrf0s | Use a quantized model, this is absurdly slow. | 1 | 0 | 2023-04-17T16:57:05 | MotionTwelveBeeSix | false | null | 0 | jgmrf0s | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmrf0s/ | false | 1 |
t1_jgmr8uw | You're right, I think the issue was I set the VRAM down to 1GB (because it was throwing an OOM error even though 23GB was reserved). When I increased the VRAM to 23GB, it now goes at about 2.5 tokens/s. Are there any other speedups available like --xformers? I'm familiar with Automatic1111 and Stable Diffusion. | 1 | 0 | 2023-04-17T16:55:59 | Commercial_Way_8217 | false | null | 0 | jgmr8uw | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmr8uw/ | false | 1 |
t1_jgmr751 | what do you mean by that? | 1 | 0 | 2023-04-17T16:55:41 | True-Delivery8926 | false | null | 0 | jgmr751 | false | /r/LocalLLaMA/comments/12iazsa/index_of_most_llama_derived_models_and_more/jgmr751/ | false | 1 |
t1_jgmof5z | [deleted] | 2 | 0 | 2023-04-17T16:37:55 | [deleted] | true | null | 0 | jgmof5z | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmof5z/ | false | 2 |
t1_jgmoby2 | [deleted] | 2 | 0 | 2023-04-17T16:37:21 | [deleted] | true | null | 0 | jgmoby2 | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgmoby2/ | false | 2 |
t1_jgmo5jq | I'm running on the same hardware with LLaMA 30B 4bit, and I'm getting 1.5 - 2 tokens per second. That sounds to me like you're not using your hardware. If you have the technical knowledge to check, what does `nvidia-smi` report? | 2 | 0 | 2023-04-17T16:36:11 | the_quark | false | null | 0 | jgmo5jq | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgmo5jq/ | false | 2 |
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