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 |
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t1_jhmaoxk | Thanks for trying it out, even if it was still on the API one. I actually find Vicuna 7B local is better than the stuff I have been using on HuggingFace's API, but it's not as fast on first load as it needs to grab that 4 GB model and load it into cache/memory.
This is mostly proof of concept stuff, as is most of my s... | 1 | 0 | 2023-04-25T05:35:47 | DustinBrett | false | null | 0 | jhmaoxk | false | /r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhmaoxk/ | false | 1 |
t1_jhmaiqp | NOTE: If you want to test this before Chrome 113 is released, you would need to use Chrome Canary 113 or greater. Also by default the "/session.json" file is get to HuggingFace API still, so that needs to be renamed to WebLLM, the file saved and the site reloaded. Then when a message is sent in AI Chat it will begin th... | 1 | 0 | 2023-04-25T05:33:46 | DustinBrett | false | null | 0 | jhmaiqp | false | /r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhmaiqp/ | false | 1 |
t1_jhmafsi | Ha, I was wondering how big it was. I just found TheBloke's Vicuna-7b and realized it was 4GB. Regardless, thanks for sharing and updating. | 2 | 0 | 2023-04-25T05:32:47 | claygraffix | false | null | 0 | jhmafsi | false | /r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhmafsi/ | false | 2 |
t1_jhmad9p | If you want to try it today you would likely need Chrome Canary which is what I used in my demo video. I forgot in the video to mention the "session.json" step, but I will make this the default shortly anyway. | 1 | 0 | 2023-04-25T05:31:57 | DustinBrett | false | null | 0 | jhmad9p | false | /r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhmad9p/ | false | 1 |
t1_jhma9fh | Thanks! On the note of AI Chat, it's still beta so by default it actually still uses HuggingFace's API. If you want to actually use it then you need to change the "/session.json" file from "HuggingFace" to "WebLLM", save the file and reload the page. The reason for this atm is WebGPU doesn't come out until April 26th i... | 1 | 0 | 2023-04-25T05:30:41 | DustinBrett | false | null | 0 | jhma9fh | false | /r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhma9fh/ | false | 1 |
t1_jhma5db | Meh, it's a little too slow for my liking. No, haven't bothered with the even larger models, I'm using the Open-assistant finetuned 30B model
Edit: I meant to ask, so how does it compare to consumer GPU? I haven't seen any such numbers except for the accelerators in colab | 1 | 0 | 2023-04-25T05:29:21 | H3PO | false | null | 0 | jhma5db | false | /r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhma5db/ | false | 1 |
t1_jhma1wn | Works great, love the website design. | 2 | 0 | 2023-04-25T05:28:16 | claygraffix | false | null | 0 | jhma1wn | false | /r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhma1wn/ | false | 2 |
t1_jhm8j77 | I ask, because I'm starting to wonder if:
1. I'm doing something drastically different and it's worth documenting
2. I'm an idiot and somehow running it on my GPU and I'm not aware | 2 | 0 | 2023-04-25T05:11:32 | AemonAlgizVideos | false | null | 0 | jhm8j77 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhm8j77/ | false | 2 |
t1_jhm5n8e | Not that much. But it took two days.
The second time, I got a friend to do it for me with a few of the servers at his work, thst weren't in use. | 1 | 0 | 2023-04-25T04:42:48 | redfoxkiller | false | null | 0 | jhm5n8e | false | /r/LocalLLaMA/comments/12iu461/what_is_the_best_model_so_far/jhm5n8e/ | false | 1 |
t1_jhm4ory | Was it more than a used car? | 2 | 0 | 2023-04-25T04:33:25 | CryInternational7589 | false | null | 0 | jhm4ory | false | /r/LocalLLaMA/comments/12iu461/what_is_the_best_model_so_far/jhm4ory/ | false | 2 |
t1_jhm4a7a | >Where does the 1-click installer, mentioned in the comments, fit into the 4-bit guide?
The one-click installer replaces steps 2 through 22 of the 4-bit guide. See this [simplified guide here](https://www.reddit.com/r/LocalLLaMA/wiki/guide) for a little extra information.
>Additionally, with a 7900XT
For AMD, follow... | 2 | 0 | 2023-04-25T04:29:25 | Technical_Leather949 | false | null | 0 | jhm4a7a | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhm4a7a/ | false | 2 |
t1_jhm3gd8 | With GPTQ quantization, LLaMA-13B 4-bit. You can see [benchmarks here](https://github.com/qwopqwop200/GPTQ-for-LLaMa#result). | 2 | 0 | 2023-04-25T04:21:34 | Technical_Leather949 | false | null | 0 | jhm3gd8 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhm3gd8/ | false | 2 |
t1_jhm38mr | What are you trying to run, and using Linux, Windows, or WSL? You shouldn't have any problems with 4-bit 7B LLaMA at least.
>How will swap work?
It works the same way as it usually does, and on Linux it's a very straightforward process. I don't use Windows a lot but it should be the same. Try following [this guide](h... | 1 | 0 | 2023-04-25T04:19:33 | Technical_Leather949 | false | null | 0 | jhm38mr | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhm38mr/ | false | 1 |
t1_jhm30hb | That is nice and all, but [AgentLLM has been able to do this for a little while now](https://github.com/Josh-XT/Agent-LLM), and has a nice webui to interface with agents as they run along with support for GPU accelerations via oobabooga api or many other options. | 1 | 0 | 2023-04-25T04:17:24 | ElectroFried | false | null | 0 | jhm30hb | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhm30hb/ | false | 1 |
t1_jhm27ok | This question is more suitable for r/buildapc. Explain to them the system you're looking to build within the requirements of running local LLMs like LLaMA, and you should get a fast answer. | 1 | 0 | 2023-04-25T04:09:45 | Technical_Leather949 | false | null | 0 | jhm27ok | false | /r/LocalLLaMA/comments/12xyzsn/please_help_me_choose_a_custom_pc_for_running/jhm27ok/ | true | 1 |
t1_jhm0zba | oh yeeees | 1 | 0 | 2023-04-25T03:58:13 | CellWithoutCulture | false | null | 0 | jhm0zba | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhm0zba/ | false | 1 |
t1_jhm0d2v | "What weighs more, two pounds of feathers or one pound of bricks?"
Every model I've tried except GPT4 gets this spectacularly wrong. Even GPT3.5 insists on the wrong answer. | 1 | 0 | 2023-04-25T03:52:34 | SufficientPie | false | null | 0 | jhm0d2v | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jhm0d2v/ | false | 1 |
t1_jhm085i | I'm running Vicuna 7B locally on my website with WebGPU, and I've found it quite a bit better than some of the other Alpaca models with more params. | 0 | 0 | 2023-04-25T03:51:23 | DustinBrett | false | null | 0 | jhm085i | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhm085i/ | false | 0 |
t1_jhlyzmp | What’re you seeing and which model are you running? Are you making sure to use a GGML model? | 1 | 0 | 2023-04-25T03:40:15 | AemonAlgizVideos | false | null | 0 | jhlyzmp | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhlyzmp/ | false | 1 |
t1_jhlyxzj | On cpu only? That's wild. I can't get anywhere near that on my 5900x | 1 | 0 | 2023-04-25T03:39:49 | teachersecret | false | null | 0 | jhlyxzj | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhlyxzj/ | false | 1 |
t1_jhlyoh1 | https://github.com/keldenl/gpt-llama.cpp supports embeddings, and it even takes in openai type requests and returns openai compatible responses! | 5 | 0 | 2023-04-25T03:37:27 | KeldenL | false | null | 0 | jhlyoh1 | false | /r/LocalLLaMA/comments/12y3stx/embeddings/jhlyoh1/ | false | 5 |
t1_jhlydr6 | Thats actually pretty good. Any idea what you'd get with 65b? | 1 | 0 | 2023-04-25T03:34:49 | lemon07r | false | null | 0 | jhlydr6 | false | /r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhlydr6/ | false | 1 |
t1_jhly7gw | how many tokens /s do you get with the 6700 xt? | 1 | 0 | 2023-04-25T03:33:15 | lemon07r | false | null | 0 | jhly7gw | false | /r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhly7gw/ | false | 1 |
t1_jhly2tl | how many tokens /s do you get with 13b and 30b models? | 3 | 0 | 2023-04-25T03:32:05 | lemon07r | false | null | 0 | jhly2tl | false | /r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhly2tl/ | false | 3 |
t1_jhlwq5x | Vast.ai is a good fit for a hobbyist. | 1 | 0 | 2023-04-25T03:20:14 | synn89 | false | null | 0 | jhlwq5x | false | /r/LocalLLaMA/comments/12wn1vh/which_cloud_service_to_use/jhlwq5x/ | false | 1 |
t1_jhlv5yu | kolbold.cpp runs much slower than llama.cpp for me. It's like around 4 times as slow. | 1 | 0 | 2023-04-25T03:07:08 | LosingID_583 | false | null | 0 | jhlv5yu | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhlv5yu/ | false | 1 |
t1_jhlv2sa | ~15-20 tokens/sec | 1 | 0 | 2023-04-25T03:06:24 | AemonAlgizVideos | false | null | 0 | jhlv2sa | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhlv2sa/ | false | 1 |
t1_jhlrbks | Are there any GPU architectures that even support that? | 1 | 0 | 2023-04-25T02:37:01 | AprilDoll | false | null | 0 | jhlrbks | false | /r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhlrbks/ | false | 1 |
t1_jhlqvat | What are you getting in tokens/second on 30b? | 1 | 0 | 2023-04-25T02:33:28 | teachersecret | false | null | 0 | jhlqvat | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhlqvat/ | false | 1 |
t1_jhlqnfr | --share flag in webui.py on line 146 where all the other flags are, will generate the gradio public link. I don't know much else on the paperspace topic, but this should get you started at least. | 2 | 0 | 2023-04-25T02:31:46 | Street-Biscotti-4544 | false | null | 0 | jhlqnfr | false | /r/LocalLLaMA/comments/12y487z/help_trouble_accessing_oogabooga_webui_on/jhlqnfr/ | false | 2 |
t1_jhlpp3y | I remember that. It was impressive that many years ago. Now it runs on today's normal hardware. | 3 | 0 | 2023-04-25T02:24:27 | aigoopy | false | null | 0 | jhlpp3y | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhlpp3y/ | false | 3 |
t1_jhlpgry | It's okay, I appreciate the explanation and the responses... it's far more than what many groups do when removing posts. | 1 | 0 | 2023-04-25T02:22:42 | cleverestx | false | null | 0 | jhlpgry | false | /r/LocalLLaMA/comments/12xmer2/with_this_pc_system_i913900k_128gb_ddr5_ram/jhlpgry/ | false | 1 |
t1_jhlpg24 | Due to popular demand, I am starting on the vicuna models as well as a gpt4 model depending on what I can get to run on the clients. Funny enough, the computer spinning up and chewing on billions and billions of numbers is the fastest part of this whole adventure (other than the 65B). I will likely make a new post wi... | 4 | 0 | 2023-04-25T02:22:32 | aigoopy | false | null | 0 | jhlpg24 | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhlpg24/ | false | 4 |
t1_jhlk7t0 | This is a great benchmark because the data is always “fresh.” | 2 | 0 | 2023-04-25T01:44:05 | Smallpaul | false | null | 0 | jhlk7t0 | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhlk7t0/ | false | 2 |
t1_jhlk5vc | Remember when it was amazing that a supercomputer was competitive with humans on Jeopardy? | 2 | 0 | 2023-04-25T01:43:41 | Smallpaul | false | null | 0 | jhlk5vc | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhlk5vc/ | false | 2 |
t1_jhlhyh0 | I too would like to see vicuna 1.1 13b as others have suggested. Even better if you can include 7b, gpt4-x-alpaca 13b, and gpt4-x-alpaca 30b. They all have 4-bit ggml models available on hf. | 6 | 0 | 2023-04-25T01:26:58 | lemon07r | false | null | 0 | jhlhyh0 | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhlhyh0/ | false | 6 |
t1_jhlg09f | Now use the text as a prompt to generate an image , hehe. | 2 | 0 | 2023-04-25T01:12:20 | lawless_c | false | null | 0 | jhlg09f | false | /r/LocalLLaMA/comments/12wl6ln/i_asked_minigpt4_vicuna_13b_to_write_a_short/jhlg09f/ | false | 2 |
t1_jhlfiw6 | ya i have a vicuna-13b autogpt port running too.
not too much changed about it other than the fact llm\_utils.py which basically maps to the fastchat library
i find the commands though to be VERY lacking .... the response filtering is quite different than GPT-4 ... do you have a new prompt file? | 1 | 0 | 2023-04-25T01:08:39 | quiteconfused1 | false | null | 0 | jhlfiw6 | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhlfiw6/ | false | 1 |
t1_jhlf5aq | Which is better, LLaMA-13B 4-bit or LLaMA-7B 8-bit? | 1 | 0 | 2023-04-25T01:05:52 | SufficientPie | false | null | 0 | jhlf5aq | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhlf5aq/ | false | 1 |
t1_jhlefbg | Can you apply the same principle as convolutional neural nets to Attention networks? As I understand it, each Attention head compares every token in the input with *every* other token, which makes that layer's cost scale as the square of the input size? But I would imagine some of the Attention heads don't need to se... | 2 | 0 | 2023-04-25T01:00:28 | SufficientPie | false | null | 0 | jhlefbg | false | /r/LocalLLaMA/comments/12x177n/the_race_is_on/jhlefbg/ | false | 2 |
t1_jhldpnn | https://www.reddit.com/r/LocalLLaMA/comments/12x177n/the_race_is_on/ | 2 | 0 | 2023-04-25T00:54:58 | SufficientPie | false | null | 0 | jhldpnn | false | /r/LocalLLaMA/comments/12x2tj0/scaling_transformer_to_1m_tokens_and_beyond_with/jhldpnn/ | false | 2 |
t1_jhlc6bz | Dang, he beat me to it. My box I'm setting up for a similar purpose is still in transit! | 2 | 0 | 2023-04-25T00:43:34 | randomjohn | false | null | 0 | jhlc6bz | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhlc6bz/ | false | 2 |
t1_jhlc41v | Perplexity with GPTQ 4bit is better on a per-bit basis than a 16bit model, so a 60b 4bit model outperforms a 30b 8bit model. However, based on that, the 8bit 7b model might slightly outperform the 4bit 13b model, as 8x7 > 4x13.
Here's data from the dude who wrote the 8bit code that Ooga uses (granted, none of these m... | 8 | 0 | 2023-04-25T00:43:05 | TeamPupNSudz | false | 2023-04-25T22:52:43 | 0 | jhlc41v | false | /r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhlc41v/ | false | 8 |
t1_jhlblc9 | I am wrestling with the same question - should I get another GPU or invest in a new motherboard, CPU, and RAM? I don't have concrete answers for you but two points:
On the 128GB of RAM, assuming you're going to run Windows or Linux (and, to be clear, not Windows AND Linux via WSL2), then you've got the vast majority o... | 0 | 0 | 2023-04-25T00:39:09 | the_quark | false | null | 0 | jhlblc9 | false | /r/LocalLLaMA/comments/12xyzsn/please_help_me_choose_a_custom_pc_for_running/jhlblc9/ | false | 0 |
t1_jhl7lp8 | Lmao, haven't tested this AutoGPT program specifically but LLaMA is so dumb with langchain prompts it's not even funny. | 3 | 0 | 2023-04-25T00:09:40 | 2muchnet42day | false | null | 0 | jhl7lp8 | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhl7lp8/ | false | 3 |
t1_jhl7k93 | If it’s crashing? You’d need to give it more memory and prevent it from crashing | 1 | 0 | 2023-04-25T00:09:23 | AemonAlgizVideos | false | null | 0 | jhl7k93 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhl7k93/ | false | 1 |
t1_jhl79sb | Oh sorry! I’m running the 13B/30B | 1 | 0 | 2023-04-25T00:07:13 | AemonAlgizVideos | false | null | 0 | jhl79sb | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhl79sb/ | false | 1 |
t1_jhl794o | This is accurate. Except for 3 bit quantization, which has been shown to be unstable. | 4 | 0 | 2023-04-25T00:07:05 | 2muchnet42day | false | null | 0 | jhl794o | false | /r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhl794o/ | false | 4 |
t1_jhl5vix | I do not, no. I'm running Oobabooga, which does sometimes *crash* (which causes that) but it's pretty rare for me - like once in a few hundred interactions at most.
I do limit my VRAM on usage though. For whatever it's worth, this is how I invoke it:
`python [server.py](https://server.py) --auto-devices --wbits 4 --g... | 5 | 0 | 2023-04-24T23:56:44 | the_quark | false | null | 0 | jhl5vix | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhl5vix/ | false | 5 |
t1_jhl42t1 | Hmmm 🤔 probably o.O It cooked my 4090 for like 11hours, but I think you could run it with a lower batch size for longer with less GPU(?)
I will have to research & edit! | 2 | 0 | 2023-04-24T23:43:03 | disarmyouwitha | false | null | 0 | jhl42t1 | false | /r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhl42t1/ | false | 2 |
t1_jhl3l63 | Ah, I had no idea that Intel disabled it. Intel is so good at ruining their stuff lately | 1 | 0 | 2023-04-24T23:39:09 | AemonAlgizVideos | false | null | 0 | jhl3l63 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhl3l63/ | false | 1 |
t1_jhl2izn | Just to make sure, my RAM usage when idle is 4GB.
When I increase my RAM to 48GB I should be able to run 65B model in dalai or alpaca electron?
I also, my CPU is 10400F, I know it will be slow but it will be compatible?
I will buy extra 16GB RAM if it is possible, thanks :) | 1 | 0 | 2023-04-24T23:27:22 | Exciting-Possible773 | false | null | 0 | jhl2izn | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jhl2izn/ | false | 1 |
t1_jhl0y35 | I see. Thank you for that explanation. | 1 | 0 | 2023-04-24T23:15:28 | phiferch | false | null | 0 | jhl0y35 | false | /r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhl0y35/ | false | 1 |
t1_jhl04ot | Just package it up in a dockerfile and no one will care what language it's written in. | 2 | 0 | 2023-04-24T23:09:16 | Tostino | false | null | 0 | jhl04ot | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhl04ot/ | false | 2 |
t1_jhl01nv | Reduce the number of threads by a factor of two or four. Compare performance. | 0 | 0 | 2023-04-24T23:08:37 | gammalsvenska | false | null | 0 | jhl01nv | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhl01nv/ | false | 0 |
t1_jhkzrun | anyway to solve this? | 1 | 0 | 2023-04-24T23:06:31 | FriendDimension | false | null | 0 | jhkzrun | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkzrun/ | false | 1 |
t1_jhkzo6m | im trying 30b llama on a 4090 and after some time it gets stuck with "is typing" do you get the same problem? | 1 | 0 | 2023-04-24T23:05:45 | FriendDimension | false | null | 0 | jhkzo6m | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkzo6m/ | false | 1 |
t1_jhkylzs | More parameters will be better, even if at a lower precision. Its definitely worth it. | 12 | 0 | 2023-04-24T22:57:44 | AprilDoll | false | null | 0 | jhkylzs | false | /r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhkylzs/ | false | 12 |
t1_jhkybk8 | There's not really much to discuss? Safetensors are just a safer file format for pickled data than .pt/.bin (the latter can contain executable python code, which can lead to malware, etc). They function the same to the end user. ggml is for running models via Llama.cpp, which just uses the CPU (so it's not for GPU mode... | 2 | 0 | 2023-04-24T22:55:32 | TeamPupNSudz | false | null | 0 | jhkybk8 | false | /r/LocalLLaMA/comments/12xrl1q/lora_ggml_safetensors_hf_etc_is_there_a_glossary/jhkybk8/ | false | 2 |
t1_jhky2rm | I think BLAS should be 1 (I don't know what does it do).
But your speed is similar to a [redditer](https://www.reddit.com/r/LocalLLaMA/comments/12lynw8/-/jgarzuz) finding I read earlier. After all 30B is big. You actually might find 13B to be near it's intelligence [according to this](https://www.reddit.com/r/LocalLL... | 0 | 0 | 2023-04-24T22:53:45 | AlphaPrime90 | false | 2023-04-24T23:06:47 | 0 | jhky2rm | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhky2rm/ | false | 0 |
t1_jhkxerx | It's more because this post was asking for
>what is going to be the best model for textual generation I can probably be enjoying on such a system at that time?
As for what models are good now, that's a commonly asked question and the answers have been more or less the same. For example, [this post](https://www.reddit... | 2 | 0 | 2023-04-24T22:48:50 | Civil_Collection7267 | false | null | 0 | jhkxerx | false | /r/LocalLLaMA/comments/12xmer2/with_this_pc_system_i913900k_128gb_ddr5_ram/jhkxerx/ | false | 2 |
t1_jhkxd13 | Unless there was a change I didn't know about, 4-bit mode should give better quality than 8-bit mode, which is counterintuitive. | 1 | 0 | 2023-04-24T22:48:27 | CheshireAI | false | null | 0 | jhkxd13 | false | /r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhkxd13/ | false | 1 |
t1_jhkxbqf | > LoRAs can't really incorporate new information into a pretrained model.
I mean, they can, it's just inconsistent and not exactly well suited for it. I've used it before, and honestly I consider it better than vectorized search for a lot of things.
edit: [here's](https://www.reddit.com/r/Oobabooga/comments/12giy8i/i... | 1 | 0 | 2023-04-24T22:48:11 | TeamPupNSudz | false | null | 0 | jhkxbqf | false | /r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhkxbqf/ | false | 1 |
t1_jhkwelp | Thank you so much for the input, it is greatly appreciated! I have never done a project like this or built a plugin before so I'm definitely clueless about a lot of things. I made it a zip thinking it would be easier to install but looking at it again that was really silly, I'll fix that.
I used GPT-4 to write most o... | 3 | 0 | 2023-04-24T22:41:12 | CheshireAI | false | null | 0 | jhkwelp | false | /r/LocalLLaMA/comments/12xtm2v/i_made_a_local_ai_wordpress_editor/jhkwelp/ | false | 3 |
t1_jhkw0nm | Don’t you need a beefy GPU to Lora train? | 2 | 0 | 2023-04-24T22:38:15 | Nezarah | false | null | 0 | jhkw0nm | false | /r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhkw0nm/ | false | 2 |
t1_jhkvnp7 | Hugging face is filled with models just lockup what hot on the main page. 4chan g\ actually have some good discussion about LLM.
Also the sup Wiki. | 2 | 0 | 2023-04-24T22:35:33 | AlphaPrime90 | false | 2023-04-24T23:01:41 | 0 | jhkvnp7 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkvnp7/ | false | 2 |
t1_jhkvn15 | [deleted] | 2 | 0 | 2023-04-24T22:35:25 | [deleted] | true | null | 0 | jhkvn15 | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhkvn15/ | false | 2 |
t1_jhkvbc4 |
>And now i am just stuck on what model to downlaod.
No worry's soon you will have a file called "AI models" with half a dozen models, right now start freeing some space. | 2 | 0 | 2023-04-24T22:32:56 | AlphaPrime90 | false | null | 0 | jhkvbc4 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkvbc4/ | false | 2 |
t1_jhkuwu4 | I assume this is with a web UI of some sort? If so then yeah, you probably wouldn't get any feedback if the server process crashed in the background, it would just stop streaming to the browser. | 2 | 0 | 2023-04-24T22:29:54 | ReturningTarzan | false | null | 0 | jhkuwu4 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkuwu4/ | false | 2 |
t1_jhkummd | 30B, 24 threads. I have 64G of RAM, running on Manjaro, kernel 6.1.23. There might be a clue in here:
system_info: n_threads = 24 / 24 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | ... | 1 | 0 | 2023-04-24T22:27:44 | ReturningTarzan | false | null | 0 | jhkummd | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkummd/ | false | 1 |
t1_jhkujfb | It depends on the model you are training.
Remember, LoRA takes what is essentially a low resolution snapshot of the whole model. It then uses that as a proxy for the model as a whole and does training, then 'upscales' that snapshot back to full size to apply any changes made in training. (This is a simplification and ... | 3 | 0 | 2023-04-24T22:27:05 | ElectroFried | false | null | 0 | jhkujfb | false | /r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhkujfb/ | false | 3 |
t1_jhkueny | I am a bit new to the locally run LLM scene, might I ask what a Lora version means exactly? | 3 | 0 | 2023-04-24T22:26:05 | Sylvers | false | null | 0 | jhkueny | false | /r/LocalLLaMA/comments/12rpfvr/where_is_vicuna_30b/jhkueny/ | false | 3 |
t1_jhktvqw | Did you tried it against Vicuna 13b? I find it very capable, but I didn't not try gpt4xalpaca yet. | 1 | 0 | 2023-04-24T22:22:10 | AlphaPrime90 | false | null | 0 | jhktvqw | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhktvqw/ | false | 1 |
t1_jhkt3eq | Right, exactly. Maybe we're all going to want 384GB of RAM this time next year more than we want GPUs. "Making predictions is hard, especially about the future." | 3 | 0 | 2023-04-24T22:16:18 | the_quark | false | null | 0 | jhkt3eq | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkt3eq/ | false | 3 |
t1_jhkszmm | If it's *heavily* reliant on AVX512 instructions, that might be it. Intel kindly disabled AVX512 support for no apparent reason on Alder Lake. I think there's some sort of firmware hack to enable it, though, maybe I should look into that. Then again, I don't really have a use for CPU inference right now. | 3 | 0 | 2023-04-24T22:15:32 | ReturningTarzan | false | null | 0 | jhkszmm | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkszmm/ | false | 3 |
t1_jhksuxw | Ok, cool, yeah it seems its early to tell. And maybe we'll be stuck with various hacks if the online models running on huge servers will do what most people need them to, and we're the weird people wanting to run it ourselves. If there are some breakthroughs in the models actually having good persistent memory, which I... | 2 | 0 | 2023-04-24T22:14:34 | capybooya | false | null | 0 | jhksuxw | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhksuxw/ | false | 2 |
t1_jhks8yc | How many threads are running in the model?
What's the model size? | 1 | 0 | 2023-04-24T22:10:00 | AlphaPrime90 | false | null | 0 | jhks8yc | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhks8yc/ | false | 1 |
t1_jhks8gh | Well two months ago I think they were considered to not be the future at all! But llama.cpp has made some great breakthroughs. I have no idea if there's a lot more to be had there or not, but if the community puts a lot of effort into it, you could see that being the way the hobbyist market goes from a price:performanc... | 4 | 0 | 2023-04-24T22:09:53 | the_quark | false | null | 0 | jhks8gh | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhks8gh/ | false | 4 |
t1_jhkrtm9 | Will no one knows what the model size you two are running?
I agree with you. 20 t/s is very good. How many threads are you running? | 1 | 0 | 2023-04-24T22:06:52 | AlphaPrime90 | false | null | 0 | jhkrtm9 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkrtm9/ | false | 1 |
t1_jhkrqms | at a certain point does it stop responding and it stuck on "is typing..." for you? mine does that and im using your same exact model and pc specs | 1 | 0 | 2023-04-24T22:06:16 | FriendDimension | false | null | 0 | jhkrqms | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkrqms/ | false | 1 |
t1_jhkrn0f | > stop worrying about GPU and figure llama.cpp running-on-CPU is the future
Maybe clueless question: Are you thinking very specifically now, or maybe WRT memory specifically, or is there any reason to think that CPU is the future for text AI's? | 1 | 0 | 2023-04-24T22:05:31 | capybooya | false | null | 0 | jhkrn0f | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkrn0f/ | false | 1 |
t1_jhkrkc1 | wow is this why on the 30b parameter it will just suddenly stop at a certain point or if my prompt is to long with "is typing..."? | 1 | 0 | 2023-04-24T22:04:59 | FriendDimension | false | null | 0 | jhkrkc1 | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkrkc1/ | false | 1 |
t1_jhkrdrr | I think I do but my ram usage fluctuates around 80% usage to 50% so I think I have enough to run the model I have 128 gb ram. | 1 | 0 | 2023-04-24T22:03:40 | FriendDimension | false | null | 0 | jhkrdrr | false | /r/LocalLLaMA/comments/12vosbm/model_not_responding_and_just_says_is_typing/jhkrdrr/ | false | 1 |
t1_jhkrbzp | You made a GitHub repository for a WP plugin, only to upload a binary ZIP file into the source files? It's one PHP file, instead of completely negating all the advantages of a VCS, just put it in the root directory and you're set.
As for the plugin... Everything at one level of indentation (is your TAB key broken?) an... | 8 | 0 | 2023-04-24T22:03:17 | ericek111 | false | null | 0 | jhkrbzp | false | /r/LocalLLaMA/comments/12xtm2v/i_made_a_local_ai_wordpress_editor/jhkrbzp/ | false | 8 |
t1_jhkr23n | [deleted] | 1 | 0 | 2023-04-24T22:01:18 | [deleted] | true | null | 0 | jhkr23n | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkr23n/ | false | 1 |
t1_jhkqd8b | That's a lot of work.
Mind sharing more info about the automation process?
I have checked sh file, but as novice learner I didn't get much. | 1 | 0 | 2023-04-24T21:56:23 | AlphaPrime90 | false | 2023-04-24T22:00:02 | 0 | jhkqd8b | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhkqd8b/ | false | 1 |
t1_jhkpy39 | 30B is the sweet spot for me. I was trying OpenAssotant to rewrite some stuff and expand on texts I fed into it and it's surprisingly accurate and coherent. Even Vicuna 7b is very coherent (unfortunately the prose is too simple for me to use). I'm waiting until the next cards come with more VRAM before buying one to ru... | 1 | 0 | 2023-04-24T21:53:26 | PauNoCuDoRedditBR | false | null | 0 | jhkpy39 | false | /r/LocalLLaMA/comments/12xcjuu/for_those_who_have_tried_how_does_bloom176b_feel/jhkpy39/ | false | 1 |
t1_jhkpu3b | Why do you think that? The P40 can also run optimized models. | 2 | 0 | 2023-04-24T21:52:41 | fallingdowndizzyvr | false | null | 0 | jhkpu3b | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhkpu3b/ | false | 2 |
t1_jhkpr1c | Rad.
I think a large part of a model "smartnes" is how much work done to modify, optimize and tweak the model. Altman spoke about how much work they have done on gpt4 beyond training. | 3 | 0 | 2023-04-24T21:52:06 | AlphaPrime90 | false | null | 0 | jhkpr1c | false | /r/LocalLLaMA/comments/12xcjuu/for_those_who_have_tried_how_does_bloom176b_feel/jhkpr1c/ | false | 3 |
t1_jhkpfck | Yeah. Problem is that I need a whole new architecture for it. My current M/B can support two GPUs, so if I plugged two P40s into it...I can't run a monitor, and it's my desktop.
I haven't started building it out yet but I'm guessing I need minimum something like $750 in hardware to get to being able to spend the $500?... | 2 | 0 | 2023-04-24T21:49:54 | the_quark | false | null | 0 | jhkpfck | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkpfck/ | false | 2 |
t1_jhkpd0v | Do you have enough device memory to run the 30B param model? It could be spilling to disk. | 1 | 0 | 2023-04-24T21:49:27 | Snoo_72256 | false | null | 0 | jhkpd0v | false | /r/LocalLLaMA/comments/12vosbm/model_not_responding_and_just_says_is_typing/jhkpd0v/ | false | 1 |
t1_jhkoxzh | [deleted] | 2 | 0 | 2023-04-24T21:46:34 | [deleted] | true | null | 0 | jhkoxzh | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkoxzh/ | false | 2 |
t1_jhkotcx | No, I’m not doing prompt eval, I wonder why there’s such a massive gap in performance? I can’t imagine a 7950X would be 10X a 12900K in anything. | 1 | 0 | 2023-04-24T21:45:43 | AemonAlgizVideos | false | null | 0 | jhkotcx | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkotcx/ | false | 1 |
t1_jhkodgm | With a 4090rtx you can fit an entire 30b 4bit model assuming your not running --groupsize 128.
Personally I think the MetalX/GPT4-x-alpaca 30b model destroy all other models i tried in logic and it's quite good at both chat and notebook mode.
G128 is nice af for sure, but as they don't fit more then 1500 context on a 4... | 1 | 0 | 2023-04-24T21:42:42 | Overall_Still_7907 | false | 2023-04-24T21:52:08 | 0 | jhkodgm | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhkodgm/ | false | 1 |
t1_jhknqn4 | Thanks for the guide!
Couple of questions:
Where does the 1-click installer, mentioned in the comments, fit into the 4-bit guide? Just before downloading the 4-bit model? (if it fits anywhere at all)
Additionally, with a 7900XT, the 1-click prompted me to respond about my type of GPU. I selected AMD, at which point ... | 1 | 0 | 2023-04-24T21:38:20 | Halfwise2 | false | 2023-04-24T21:42:14 | 0 | jhknqn4 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhknqn4/ | false | 1 |
t1_jhkn92s | There were 100 questions which are available at the github link in the post. The original Jeopardy format answers were changed as simply as possible into questions and in cases where the category was contextually significant, it was included in the question. The only automation was running the questions through the v... | 5 | 0 | 2023-04-24T21:35:00 | aigoopy | false | null | 0 | jhkn92s | false | /r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhkn92s/ | false | 5 |
t1_jhkn2xg | I have been wrestling with this myself right now. I'm stuck between three basic architectures:
1. 2 RTX-3090s. Should get you 48GB of VRAM and let you do 65B 4-bit models. Advantage here is I already have 1 RTX-3090, so it's just one \~$850 upgrade for a used one. Concern is that my MB can only support 2 cards, so if ... | 6 | 0 | 2023-04-24T21:33:49 | the_quark | false | null | 0 | jhkn2xg | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhkn2xg/ | false | 6 |
t1_jhkm1f6 | Way to go, Ironman! | 2 | 0 | 2023-04-24T21:26:35 | HatsusenoRin | false | null | 0 | jhkm1f6 | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhkm1f6/ | false | 2 |
t1_jhklpmv | FWIW I'm able to fit 4-bit 30B LLaMA in a single RTX-3090 for anyone else who wants to do the same thing.
I'm very tempted to get a second RTX-3090 to do 65B though! | 3 | 0 | 2023-04-24T21:24:19 | the_quark | false | null | 0 | jhklpmv | false | /r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhklpmv/ | false | 3 |
t1_jhklo7e | I did, it was a little bit slower. Haven't done extensive testing, since it was pretty inconsistent between runs, which I attribute to my cpu cooler being underpowered and boost clocks dropping in consecutive runs. I might test it at work on a 128 thread epyc next | 2 | 0 | 2023-04-24T21:24:04 | H3PO | false | null | 0 | jhklo7e | false | /r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhklo7e/ | false | 2 |
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