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_jhdusmr | It makes sense for Amazon to subsidize the adoption of deep-learning models because they are extremely compute intensive, and AWS sells compute. | 5 | 0 | 2023-04-23T12:18:09 | frownyface | false | 2023-04-23T12:21:13 | 0 | jhdusmr | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhdusmr/ | false | 5 |
t1_jhdud6b | It could be the output token size. Make sure you have it set to generate more than 200 tokens or the such. | 1 | 0 | 2023-04-23T12:13:33 | AemonAlgizVideos | false | null | 0 | jhdud6b | false | /r/LocalLLaMA/comments/12w3xa5/oogabooga_vicuna_stops_answering/jhdud6b/ | false | 1 |
t1_jhdu12f | As patrakov pointed out, GGML is far more performant on CPU. So, if you don’t have a GPU you should definitely try using a GGML model to get the best experience. | 3 | 0 | 2023-04-23T12:09:59 | AemonAlgizVideos | false | null | 0 | jhdu12f | false | /r/LocalLLaMA/comments/12vo2rn/ggml/jhdu12f/ | false | 3 |
t1_jhdthy8 | That's interesting prompt! I just checked it on couple of models (from pygmalion 6b to alpaca 30b 4bit)... and the only one that got this right was gpt4-x-alpaca-13b-native-4bit-128g
Edit: downloaded vicuna-13b-GPTQ-4bit-128g and this one can also answer it correctly (the other vicuna 13b I had couldn't) | 13 | 0 | 2023-04-23T12:04:23 | VertexMachine | false | 2023-04-23T12:29:42 | 0 | jhdthy8 | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdthy8/ | false | 13 |
t1_jhdrcbe | Who do you think pays for the cloudflare cdn? | 1 | 0 | 2023-04-23T11:40:25 | Smallpaul | false | null | 0 | jhdrcbe | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhdrcbe/ | false | 1 |
t1_jhdraq8 | Heroku had that model for years. It may turn out to be a bait-and-switch, depending on how profitable the business ends up being in the run. | 1 | 0 | 2023-04-23T11:39:54 | Smallpaul | false | null | 0 | jhdraq8 | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhdraq8/ | false | 1 |
t1_jhdpxti | What is different between the files? | 1 | 0 | 2023-04-23T11:23:42 | PM_ME_ENFP_MEMES | false | null | 0 | jhdpxti | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhdpxti/ | false | 1 |
t1_jhdot4g | That sounds like a pain. Maybe it would be easier to run it against a different dataset besides wikitext. Like one for instruct or roleplaying. | 1 | 0 | 2023-04-23T11:09:39 | a_beautiful_rhind | false | null | 0 | jhdot4g | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhdot4g/ | false | 1 |
t1_jhdolzj | I would have to download it. I only have the 4bit. I did get just get the roleplay version downloaded as both varieties. | 1 | 0 | 2023-04-23T11:07:11 | a_beautiful_rhind | false | null | 0 | jhdolzj | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhdolzj/ | false | 1 |
t1_jhdo5vu | > As far as i can tell it would be able to run the biggest open source models currently available.
Kinda sorta. 24GB is the most vRAM you'll get on a single consumer GPU, so the P40 matches that, and presumably at a fraction of the cost of a 3090 or 4090, but there are still a number of open source models that won't f... | 13 | 0 | 2023-04-23T11:01:21 | itsnotlupus | false | null | 0 | jhdo5vu | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhdo5vu/ | false | 13 |
t1_jhdn67k | Is there a UI i can put somehow on top of llama.cpp? | 2 | 0 | 2023-04-23T10:48:08 | Puzzleheaded_Acadia1 | false | null | 0 | jhdn67k | false | /r/LocalLLaMA/comments/12vt4t6/excerpts_from_running_vicuna_at_various/jhdn67k/ | false | 2 |
t1_jhdmzt2 | Top bloke. | 10 | 0 | 2023-04-23T10:45:42 | ambient_temp_xeno | false | null | 0 | jhdmzt2 | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdmzt2/ | false | 10 |
t1_jhdmli6 | Looking good so far, it hasn't got it wrong once in 5 tries:
Anna takes a ball and puts it in a red box, then leaves the room. Bob takes the ball out of the red box and puts it into the yellow box, then leaves the room. Anna returns to the room. Where will she look for the ball?
*Anna will look for the ball in the re... | 26 | 0 | 2023-04-23T10:40:07 | ambient_temp_xeno | false | null | 0 | jhdmli6 | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdmli6/ | false | 26 |
t1_jhditpk | We have evaluations based upon GPT3.5 prompt-responses vs our responses. E.g. check out the histograms/values here:
https://github.com/h2oai/h2ogpt/issues/22#issuecomment-1510895902
We'll organize the evals and benchmarks soon and put on the HF cards.
Roughly speaking, GPT3.5 gets an reward model score of about 0.... | 14 | 0 | 2023-04-23T09:45:41 | pseudotensor | false | null | 0 | jhditpk | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhditpk/ | false | 14 |
t1_jhdhp8j | the tesla m40 (24gb vram for abt 150€ on ebay) sounds really promising to me, not sure if there might be problems with drivers though? since its quite an old card. | 3 | 0 | 2023-04-23T09:28:44 | cbg_27 | false | null | 0 | jhdhp8j | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhdhp8j/ | false | 3 |
t1_jhdh74z | Ohh, Apache open source! Are there any benchmarks for the perplexity’s yet or is this somewhere we can help?
Also, thanks for all the amazing work you do, TheBloke! | 12 | 0 | 2023-04-23T09:21:13 | AemonAlgizVideos | false | null | 0 | jhdh74z | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdh74z/ | false | 12 |
t1_jhdg3tb | Here's a report from a user running LLaMA 30Bq4 at good speeds on his P40: [https://www.reddit.com/r/Oobabooga/comments/126dejd/comment/jebvlt0/](https://www.reddit.com/r/Oobabooga/comments/126dejd/comment/jebvlt0/)
If you can find a cloud P40 to rent that'd be the safest way to see if it'll work for all your use case... | 5 | 0 | 2023-04-23T09:05:10 | randomfoo2 | false | null | 0 | jhdg3tb | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhdg3tb/ | false | 5 |
t1_jhdg1dx | The threadripper at least behaved well on non-optimal configurations. Both big-little systems did not: Unless you had a close-to-optimal configuration, you got a very stuttery/miserable performance and the slowdown was immense (far more than the expected 2x).
While I am impressed by their peak performance, their showi... | 1 | 0 | 2023-04-23T09:04:11 | gammalsvenska | false | null | 0 | jhdg1dx | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jhdg1dx/ | false | 1 |
t1_jhde8rc | [deleted] | 1 | 0 | 2023-04-23T08:37:46 | [deleted] | true | null | 0 | jhde8rc | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhde8rc/ | false | 1 |
t1_jhddo8r | They just know the AGI is coming and they want it to like those humans 😅 | 2 | 0 | 2023-04-23T08:29:21 | xxx-symbol | false | null | 0 | jhddo8r | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhddo8r/ | false | 2 |
t1_jhddedm | If you’re using cloud services, even the deals will likely suck very hard. Those guys are making a killing on you | 2 | 0 | 2023-04-23T08:25:17 | xxx-symbol | false | null | 0 | jhddedm | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhddedm/ | false | 2 |
t1_jhdc7ju | Im curious about this p40. I had my second hand 3060 12gb from a cryptominer and i dont regret. It works pretty well to run 13b models and sd training with xformers | 5 | 0 | 2023-04-23T08:07:50 | [deleted] | false | null | 0 | jhdc7ju | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhdc7ju/ | false | 5 |
t1_jhdbuc7 | Yeah I'll link them here. I don't have a website, besides my HF page! :) [https://huggingface.co/TheBloke](https://huggingface.co/TheBloke) | 16 | 0 | 2023-04-23T08:02:34 | The-Bloke | false | null | 0 | jhdbuc7 | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdbuc7/ | false | 16 |
t1_jhdbrex | If you want even smaller I would ask on the llama.cpp or ggml Githubs | 4 | 0 | 2023-04-23T08:01:23 | The-Bloke | false | null | 0 | jhdbrex | false | /r/LocalLLaMA/comments/12vu0uz/minimal_ggml_file_or_are_there_any_tinytoy_models/jhdbrex/ | false | 4 |
t1_jhdbn58 | Here's a 100MB GPT2 q4\_0 model based on GPT2 (don't know how many params): [https://huggingface.co/xzuyn/gpt2-imdb-ggml-q4\_0/tree/main](https://huggingface.co/xzuyn/gpt2-imdb-ggml-q4_0/tree/main)
And another 100MB q4\_0 model based on GPT2: [https://huggingface.co/xzuyn/DialoGPT-small-ggml-q4\_0/tree/main](https://h... | 10 | 0 | 2023-04-23T07:59:39 | The-Bloke | false | null | 0 | jhdbn58 | false | /r/LocalLLaMA/comments/12vu0uz/minimal_ggml_file_or_are_there_any_tinytoy_models/jhdbn58/ | false | 10 |
t1_jhdbb0s | Great, thanks! Will you link the results here or do you have a website? | 4 | 0 | 2023-04-23T07:54:44 | pseudotensor | false | null | 0 | jhdbb0s | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdbb0s/ | false | 4 |
t1_jhdb8su | Awesome! | 2 | 0 | 2023-04-23T07:53:53 | pseudotensor1234 | false | null | 0 | jhdb8su | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhdb8su/ | false | 2 |
t1_jhdan4l | The other day I listened to an AI podcast which interviewed HF's Head of Product. He talked about their partnership with Amazon which has been in place for years, and has recently got even closer.
As I understand it, Amazon provide all their hosting, storage and bandwidth via AWS. So I assume that part of that partner... | 22 | 0 | 2023-04-23T07:45:23 | The-Bloke | false | 2023-04-23T07:50:46 | 0 | jhdan4l | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhdan4l/ | false | 22 |
t1_jhdafbt | It worked! | 1 | 0 | 2023-04-23T07:42:18 | Matrix_Rx | false | null | 0 | jhdafbt | false | /r/LocalLLaMA/comments/12k0ep7/why_my_vicuna_will_generate_human_input_by_herself/jhdafbt/ | false | 1 |
t1_jhd9w0v | You're awesome. | 13 | 0 | 2023-04-23T07:34:41 | DeylanQuel | false | null | 0 | jhd9w0v | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhd9w0v/ | false | 13 |
t1_jhd98x7 | GPTQ versions are available here: [https://huggingface.co/TheBloke/alpaca-lora-65B-GPTQ-4bit](https://huggingface.co/TheBloke/alpaca-lora-65B-GPTQ-4bit)
They do need a lot of VRAM though. Basically not usable on any consumer GPU, unless you're lucky enough to have 2 x 24GB cards.
I still haven't done the README for t... | 1 | 0 | 2023-04-23T07:25:23 | The-Bloke | false | null | 0 | jhd98x7 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jhd98x7/ | false | 1 |
t1_jhd96hn | I will be messaging you in 3 days on [**2023-04-26 07:23:28 UTC**](http://www.wolframalpha.com/input/?i=2023-04-26%2007:23:28%20UTC%20To%20Local%20Time) to remind you of [**this link**](https://www.reddit.com/r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhd948n/?context=3)
[**7 OTHERS CLICKED T... | 1 | 0 | 2023-04-23T07:24:22 | RemindMeBot | false | 2023-04-23T19:15:53 | 0 | jhd96hn | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhd96hn/ | false | 1 |
t1_jhd948n | RemindMe! 3 days | 4 | 0 | 2023-04-23T07:23:28 | ungarscool1 | false | null | 0 | jhd948n | false | /r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhd948n/ | false | 4 |
t1_jhd8xn8 | I'm out most of today but when I'm back tonight I'll make 4bit GPTQs so people can run it locally on GPUs with less VRAM. | 82 | 0 | 2023-04-23T07:20:51 | The-Bloke | false | null | 0 | jhd8xn8 | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhd8xn8/ | false | 82 |
t1_jhd6f9q | That's just like one AAA game and a couple of HD movies. The internet will survive. | 2 | 0 | 2023-04-23T06:46:18 | Andriyo | false | null | 0 | jhd6f9q | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhd6f9q/ | false | 2 |
t1_jhd6aq7 | Langchain serves as a useful technique to extract relevant portions from a document for incorporating them into the model context.
Although it could prove helpful during document QA, it might not aid much in creating high-level summaries.
However, it's crucial to ensure that the model context is as extensive as possi... | 2 | 0 | 2023-04-23T06:44:36 | veonua | false | null | 0 | jhd6aq7 | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jhd6aq7/ | false | 2 |
t1_jhd68pe | i suppose they are in it for the big fish, enterprise accounts, vc funding and to become the github of AI.
if they put a barrier to entry then they wont have that mass adoption.
also, all the little people who are experimenting there have jobs and work for companies with big cash. i have an AI strategy meeting in w... | 7 | 0 | 2023-04-23T06:43:50 | megadonkeyx | false | null | 0 | jhd68pe | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhd68pe/ | false | 7 |
t1_jhd3c0v | OK everyone is saying that disk space and bandwidth is cheap. Even though companies are reluctant to host their own models, and no one can distribute larger models on GitHub or Google Drive. Even paying customers on GitHub and Drive can't have a bunch of LFS repos hosted there.
I believe that at HuggingFace's scale, t... | 6 | 0 | 2023-04-23T06:05:08 | prototypist | false | null | 0 | jhd3c0v | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhd3c0v/ | false | 6 |
t1_jhd2e6u | Okay, I did a test on my CPU because I wanted to see what kind of speeds you guys are getting..
I have a Ryzen9 5950x /w 16 cores & 32 threads, 128gb RAM and I am getting **4tokens/second** for `vicuna13b-int4-cpp` (ggml)
(If not using GPU) | 3 | 0 | 2023-04-23T05:52:56 | disarmyouwitha | false | 2023-04-23T06:03:52 | 0 | jhd2e6u | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhd2e6u/ | false | 3 |
t1_jhd0e6w | [deleted] | 1 | 0 | 2023-04-23T05:28:32 | [deleted] | true | null | 0 | jhd0e6w | false | /r/LocalLLaMA/comments/11uidst/whats_the_best_cloud_gpu_service_for_65b/jhd0e6w/ | false | 1 |
t1_jhd02fp | Well I went and tested with reciting the preamble of constitution followed by first paragraph of Declaration of Independence with Vicuna 13b 4bit.
Same vicuna 1.0 default prompt with 1 example exchange in system prompt and same question.
my laptop have i9 64G mem and a total of 8 physical cores. With llama.cpp on ... | 2 | 0 | 2023-04-23T05:24:37 | Faintly_glowing_fish | false | null | 0 | jhd02fp | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhd02fp/ | false | 2 |
t1_jhcz8jg | Thanks, I only vaguely understood temperature and that helps give a better picture of viable values. | 6 | 0 | 2023-04-23T05:15:02 | AnOnlineHandle | false | null | 0 | jhcz8jg | false | /r/LocalLLaMA/comments/12vt4t6/excerpts_from_running_vicuna_at_various/jhcz8jg/ | false | 6 |
t1_jhcy22z | Lang chain lets you send a special prompt to search the docs you've given it. You'd have to do a bit more coding to make it do what you want. | 1 | 0 | 2023-04-23T05:01:36 | jetro30087 | false | null | 0 | jhcy22z | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jhcy22z/ | false | 1 |
t1_jhcxfeb | Most of your downloads retrieve files from cloudflare cdn | 2 | 0 | 2023-04-23T04:54:36 | paperpizza2 | false | null | 0 | jhcxfeb | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcxfeb/ | false | 2 |
t1_jhcx299 | The config.json is broken and contains garbled text. | 1 | 0 | 2023-04-23T04:50:44 | NickUnrelatedToPost | false | null | 0 | jhcx299 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhcx299/ | false | 1 |
t1_jhcuoll | Just delete it all then the cost goes to 0. Thank me later for your promotion. | 16 | 0 | 2023-04-23T04:25:57 | TyThomson | false | null | 0 | jhcuoll | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcuoll/ | false | 16 |
t1_jhct349 | Fantastic! I'm especially interested in the GPTQ models... though, Ill admit I haven't spent much time with the CPP varietals. If people are able to get 3 or 4 tokens/sec on 30b or above, \*with full context\*, then that's really something. | 1 | 0 | 2023-04-23T04:10:02 | tronathan | false | null | 0 | jhct349 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jhct349/ | false | 1 |
t1_jhct1cp | Correct - less precision.
ggml is a model format that is consumed by software written by Georgi Gerganov such as llama.cpp and its derivatives. This kind of software is notable because it allows running various neural networks on the CPUs of commodity hardware (even hardware produced 10 years ago), efficiently.
Of co... | 6 | 0 | 2023-04-23T04:09:34 | patrakov | false | null | 0 | jhct1cp | false | /r/LocalLLaMA/comments/12vo2rn/ggml/jhct1cp/ | false | 6 |
t1_jhcrydj | I'm really surprised this isn't a service somewhere yet | 2 | 0 | 2023-04-23T03:59:04 | MrHubbub88 | false | null | 0 | jhcrydj | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcrydj/ | false | 2 |
t1_jhcrslj | It shouldn't give political opinions. That's no cool. It's not JFK. Living ex presidents generally don't tell people who to vote for or especially not to abstain from voting. That's a poor JFK proxy.
Edit: did a grammar | -4 | 0 | 2023-04-23T03:57:28 | Nearby_Yam286 | false | 2023-04-23T04:01:36 | 0 | jhcrslj | false | /r/LocalLLaMA/comments/12vicms/another_funny_interaction_with_my_jfk_discord_bot/jhcrslj/ | false | -4 |
t1_jhcrqmb | Some notes, since this is a very confusing topic.
The standard models have their weights (the connections between the NN) stored as floating points. This makes the models very large and difficult to store in either system or GPU RAM. Also, CPU’s are just not good at doing floating point math compared to GPU’s. Though,... | 9 | 0 | 2023-04-23T03:56:57 | AemonAlgizVideos | false | null | 0 | jhcrqmb | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhcrqmb/ | false | 9 |
t1_jhcrjd9 | [deleted] | 1 | 0 | 2023-04-23T03:55:03 | [deleted] | true | null | 0 | jhcrjd9 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhcrjd9/ | false | 1 |
t1_jhcraiz | thank you for the pointers I really appreciate it. I will give a look to the CMAKE for linux. I was following the instructions from the repo and they were using g++.
Whats your setup like? | 1 | 0 | 2023-04-23T03:52:47 | win_for_the_world | false | null | 0 | jhcraiz | false | /r/LocalLLaMA/comments/12vqyyi/help_building_llamacpp_locally_please/jhcraiz/ | false | 1 |
t1_jhcr3ik | [deleted] | 1 | 0 | 2023-04-23T03:51:01 | [deleted] | true | null | 0 | jhcr3ik | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcr3ik/ | false | 1 |
t1_jhcqnou | To be fair, is anyone really that shocked that GPT4Chan is highly perplexed? :cheeky_grin: | 2 | 0 | 2023-04-23T03:46:56 | AemonAlgizVideos | false | null | 0 | jhcqnou | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhcqnou/ | false | 2 |
t1_jhcqdgp | The regular behavior for the web UI should be to check for all valid formats. --auto-devices isn't meant to be used with 4-bit models but that doesn't appear to be the issue here. Try opening [an issue](https://github.com/oobabooga/text-generation-webui/issues) on the GitHub repository or asking in the [Discussions pag... | 1 | 0 | 2023-04-23T03:44:14 | Civil_Collection7267 | false | null | 0 | jhcqdgp | false | /r/LocalLLaMA/comments/12vsmqv/error_with_metaix_hf_models/jhcqdgp/ | false | 1 |
t1_jhcq00i | [deleted] | 1 | 0 | 2023-04-23T03:40:44 | [deleted] | true | null | 0 | jhcq00i | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhcq00i/ | false | 1 |
t1_jhcnrsf | I think it's CloudFlare which might be helping achieve this cost-efficiency. But I could be wrong. | 4 | 0 | 2023-04-23T03:20:28 | emotionalfool123 | false | null | 0 | jhcnrsf | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcnrsf/ | false | 4 |
t1_jhcnhom | What I did was I bought a Supermicro server motherboard new to fill with older used Xeon CPUs that are cheap on E-bay because it's an obsolete socket. Since it's a dual-CPU board, it has 16 RAM slots and server-pull ECC DDR4 sticks are cheap on E-bay as well. I actually built it a few years ago just because I could, ... | 3 | 0 | 2023-04-23T03:17:57 | valdocs_user | false | null | 0 | jhcnhom | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhcnhom/ | false | 3 |
t1_jhcnfaw | The latest version is a bit different:
\`\`\`
def run\_model():
os.chdir("text-generation-webui")
run\_cmd("python server.py --auto-devices --chat --model-menu")
\`\`\`
Any other suggestions welcome! | 1 | 0 | 2023-04-23T03:17:22 | _rundown_ | false | null | 0 | jhcnfaw | false | /r/LocalLLaMA/comments/12vsmqv/error_with_metaix_hf_models/jhcnfaw/ | false | 1 |
t1_jhcmpfp | I haven't used the one-click installer myself, but last time I checked, the default command includes --groupsize 128. You should be able to edit the script to remove that for running quantized models without groupsize. | 1 | 0 | 2023-04-23T03:10:54 | Civil_Collection7267 | false | null | 0 | jhcmpfp | false | /r/LocalLLaMA/comments/12vsmqv/error_with_metaix_hf_models/jhcmpfp/ | true | 1 |
t1_jhclvte | Linked in the sidebar and the wiki: [https://www.reddit.com/r/LocalLLaMA/wiki/models](https://www.reddit.com/r/LocalLLaMA/wiki/models) | 1 | 0 | 2023-04-23T03:03:22 | Civil_Collection7267 | false | null | 0 | jhclvte | false | /r/LocalLLaMA/comments/12vq2z1/a_wikiglossary_for_all_llama_derivatives_and_new/jhclvte/ | true | 1 |
t1_jhcli3s | Thanks! Just to make sure I know what you are saying : the ggml file is quantized to 4 bits, taking up 1/4 the space. This means less precision as it needs less bits, right?
Also, aren't there 4 bit quantized models in non ggml format? If so, what makes the ggml model different from them?
Thanks for explaining ... | 4 | 0 | 2023-04-23T03:00:01 | tlpta | false | null | 0 | jhcli3s | false | /r/LocalLLaMA/comments/12vo2rn/ggml/jhcli3s/ | false | 4 |
t1_jhckqp2 | [https://huggingface.co/MetaIX/OpenAssistant-Llama-30b-Int4](https://huggingface.co/MetaIX/OpenAssistant-Llama-30b-Int4)
OpenAssistant-Llama-30B-4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI.
4 hours old, don't know if this is what you're looking for. I have an ELI5 ... | 21 | 0 | 2023-04-23T02:53:25 | probably_not_real_69 | false | null | 0 | jhckqp2 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhckqp2/ | false | 21 |
t1_jhckjt3 | [deleted] | 1 | 0 | 2023-04-23T02:51:47 | [deleted] | true | null | 0 | jhckjt3 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhckjt3/ | false | 1 |
t1_jhckim4 | CUDA should not be required to convert model. It is simple operation, mostly I/O bounded. I have not touched Open Assistant yet, so I can't help you with that, but in the past I have converted many models with those scripts:
[https://github.com/ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp) | 4 | 0 | 2023-04-23T02:51:30 | wojtek15 | false | 2023-04-23T02:59:05 | 0 | jhckim4 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhckim4/ | false | 4 |
t1_jhcka8a | I know very little about AI yet I feel compelled to share my ignorance. So here goes:
To me, large language models are like super markov chains on super steroids, taking in a huge amount of contextual data and then constructing the output based on a very large set of probabilities that it has stored in its model. ... | 1 | 0 | 2023-04-23T02:49:33 | seastatefive | false | 2023-04-23T02:57:14 | 0 | jhcka8a | false | /r/LocalLLaMA/comments/12vrxoo/what_does_artificial_intelligence_understand/jhcka8a/ | false | 1 |
t1_jhcjhtl | Ty! this is very helpful. Do you think it might be an option to run some of the larger models on a computer with e.g. 32GB RAM instead of vram (not aware of any graphics cards that get up to that size)? | 1 | 0 | 2023-04-23T02:42:54 | rwaterbender | false | null | 0 | jhcjhtl | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhcjhtl/ | false | 1 |
t1_jhci937 | Some angry sad individual downvoting our comments eh. Here, take an upvote. | 4 | 1 | 2023-04-23T02:32:28 | Significant-Chip-703 | false | null | 0 | jhci937 | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhci937/ | false | 4 |
t1_jhci13t | This is a good start.
https://github.com/ggerganov/llama.cpp#memorydisk-requirements | 1 | 0 | 2023-04-23T02:30:31 | fallingdowndizzyvr | false | null | 0 | jhci13t | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhci13t/ | false | 1 |
t1_jhchwds | Make me a notebook on how to do it and I'll leave it to run on the 3090 throughout the weekend.
Wish I could help more but time to learn concersion has been limited
Cheers | 2 | 0 | 2023-04-23T02:29:22 | ChobPT | false | null | 0 | jhchwds | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhchwds/ | false | 2 |
t1_jhchvol | [deleted] | 1 | 0 | 2023-04-23T02:29:12 | [deleted] | true | null | 0 | jhchvol | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhchvol/ | false | 1 |
t1_jhcgn11 | I wonder if there's a way to reverse-engineer prompt format from the model weights! | 2 | 0 | 2023-04-23T02:18:26 | valdocs_user | false | null | 0 | jhcgn11 | false | /r/LocalLLaMA/comments/12v9ici/weird_output_at_the_end_of_response_from_local/jhcgn11/ | false | 2 |
t1_jhcfxsy | :( is there a place that says how much vram a given model will take? | 1 | 0 | 2023-04-23T02:12:11 | rwaterbender | false | null | 0 | jhcfxsy | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhcfxsy/ | false | 1 |
t1_jhcfnhp | "cc: command not found" and "g++: command not found" mean you likely don't have a compiler installed. You'll have to look up how to install gcc a.k.a. g++ on your distro (likely some kind of package manager command). I'm not sure why it's saying "uname not found"; that's strange.
Personally I'd also try using the "... | 2 | 0 | 2023-04-23T02:09:40 | valdocs_user | false | null | 0 | jhcfnhp | false | /r/LocalLLaMA/comments/12vqyyi/help_building_llamacpp_locally_please/jhcfnhp/ | false | 2 |
t1_jhcerx5 | I have bean counters at work bitching about something like $50/month to store 10 TB of data. Spent a few weeks changing the storage scheme so it could be efficiently used while compressed. It was still worth doing it because at that size transfer times are the main bottleneck, but it will take like 50 years for the inv... | 20 | 0 | 2023-04-23T02:02:12 | [deleted] | false | null | 0 | jhcerx5 | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcerx5/ | false | 20 |
t1_jhce5gx | Yes, for the right problems. Mainly benchmarks. That doesn't translate into real world problems. We found that out back with the CM2. If it did, the 3090 would be thousands of times faster than an i5, it's not. It's about 10.
Which brings us back to the 64 core threadripper. Which has 15 times more cores than a 4 core... | 1 | 0 | 2023-04-23T01:56:53 | fallingdowndizzyvr | false | null | 0 | jhce5gx | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhce5gx/ | false | 1 |
t1_jhcd92k | I was wondering this too. I was surprised they don't try to push torrent links with optional http links sort of like how Linux distros do it. | 31 | 0 | 2023-04-23T01:49:26 | ThePseudoMcCoy | false | null | 0 | jhcd92k | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcd92k/ | false | 31 |
t1_jhccncy | I don't think 16GB will be enough for what you want to do. I think you'll need at least 24GB. For "low" cost cards, that's a 3090/4090/P40. | 1 | 0 | 2023-04-23T01:44:12 | fallingdowndizzyvr | false | null | 0 | jhccncy | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhccncy/ | false | 1 |
t1_jhccm7d | The ggml file contains a quantized representation of model weights. Therefore, lower quality. The benefit is 4x less RAM requirements, 4x less RAM *bandwidth* requirements, and thus faster inference on the CPU.
The [llama.cpp](https://github.com/ggerganov/llama.cpp) repository contains a `convert.py` script that light... | 12 | 0 | 2023-04-23T01:43:55 | patrakov | false | null | 0 | jhccm7d | false | /r/LocalLLaMA/comments/12vo2rn/ggml/jhccm7d/ | false | 12 |
t1_jhcc0g2 | HF funded by Big Data in grand conspiracy to get us all addicted to AI Waifu chatbot and 'Stalin Bot V2'. | 12 | 0 | 2023-04-23T01:38:59 | Significant-Chip-703 | false | null | 0 | jhcc0g2 | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhcc0g2/ | false | 12 |
t1_jhcao2r | We have a spare dual Xeon server in the office with 384GB ram and also some mini Pcie Coral cards on order to play with.
Last time we tried a 7b model, could type faster using one finger with my left hand token wise, that sucked to say the least.
Fyi Asus Tuf Dash F15's run it pretty well, all the office PC's are thos... | 2 | 0 | 2023-04-23T01:28:05 | a1fans_dot_com | false | null | 0 | jhcao2r | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhcao2r/ | false | 2 |
t1_jhcainl | I’ve converted models on integrated graphics before, have you tried it? | 2 | 0 | 2023-04-23T01:26:53 | pokeuser61 | false | null | 0 | jhcainl | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhcainl/ | false | 2 |
t1_jhc99hy | Thanks for the explanation.
I'm curious what would be a fair metric for comparing these fine-tuned models? Does the perplexity on the instruction dataset make sense? | 1 | 0 | 2023-04-23T01:16:30 | ylimit | false | null | 0 | jhc99hy | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhc99hy/ | false | 1 |
t1_jhc91uk | MetaIX/GPT4-X-Alpaca-30B-Int4 and the enviorment is oobaboga. And i have a 4090, for some reason it got edited out im sorry about that! | 1 | 0 | 2023-04-23T01:14:44 | FriendDimension | false | null | 0 | jhc91uk | false | /r/LocalLLaMA/comments/12vosbm/model_not_responding_and_just_says_is_typing/jhc91uk/ | false | 1 |
t1_jhc8y50 | In \[current year\] bandwidth on industrial scales is really cheap. As is disk space. The vast majority of what people use HF for costs them very little.
CPU & Memory are what you pay for today. And Huggingface are restrictive on how many models they have deployed for free - and usually not at scale. [You usually have... | 37 | 0 | 2023-04-23T01:13:51 | ZestyData | false | 2023-04-23T13:06:23 | 0 | jhc8y50 | false | /r/LocalLLaMA/comments/12vptfk/huggingface_is_letting_everyone_download_hundreds/jhc8y50/ | false | 37 |
t1_jhc6mg4 | The model can't be loaded on the stick. It doesn't have that kind of RAM. It would have to process data it's sent over USB for something this big. | 2 | 0 | 2023-04-23T00:54:17 | fallingdowndizzyvr | false | 2023-04-23T01:09:17 | 0 | jhc6mg4 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhc6mg4/ | false | 2 |
t1_jhc56e8 | *Officially* you're still supposed to use the original weights from facebook via their official access process, but there is a reliable torrent out there listed for them on one of the pages that has a list of all the models.
Unfortunately I can't find that page right now so I can't post a link, sorry :( If you search... | 3 | 0 | 2023-04-23T00:42:23 | spanielrassler | false | null | 0 | jhc56e8 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhc56e8/ | false | 3 |
t1_jhc50z1 | You've been awfully sparse on details here. What ML model, what environment is it running in, etc.
At the most surface level, knowing none of your specifics, it seems like you're trying to run a heavy model on a weak machine.
🤷♂️ | 3 | 0 | 2023-04-23T00:41:09 | ZestyData | false | null | 0 | jhc50z1 | false | /r/LocalLLaMA/comments/12vosbm/model_not_responding_and_just_says_is_typing/jhc50z1/ | false | 3 |
t1_jhc45i9 | I'm getting 6 tokens per second on a 4090! Are you using any optimizations? | 1 | 0 | 2023-04-23T00:33:44 | Nazi-Of-The-Grammar | false | null | 0 | jhc45i9 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhc45i9/ | false | 1 |
t1_jhc2a3g | Are the llama weights available from a source or is it still the facebook request form?
Old internet woulda had like 20 links to it lol. | 1 | 0 | 2023-04-23T00:18:16 | Thinktoom | false | 2023-04-24T02:40:12 | 0 | jhc2a3g | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhc2a3g/ | false | 1 |
t1_jhc20cf | Coval | 1 | 0 | 2023-04-23T00:16:01 | WillingnessNo8775 | false | null | 0 | jhc20cf | false | /r/LocalLLaMA/comments/12ilu7b/jailbreaking_vicuna/jhc20cf/ | false | 1 |
t1_jhbxkq2 | Yes, you are already using the cuda version. The one-click installer uses a forked version of GPTQ-for\_LLama that uses the cuda branch.
You have to use main version of GPTQ-for-LLaMA that The-Bloke mentions for the latest version. | 2 | 0 | 2023-04-22T23:39:30 | djstraylight | false | null | 0 | jhbxkq2 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jhbxkq2/ | false | 2 |
t1_jhbv12r | [deleted] | -1 | 0 | 2023-04-22T23:18:40 | [deleted] | true | null | 0 | jhbv12r | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbv12r/ | false | -1 |
t1_jhbtbu8 | Pretty sure this doesnt work, at least in the case of llamas because you'd be limited by the bandwidth of the usb port. Saw it discussed in this sub somewhere Im pretty sure.. | 2 | 0 | 2023-04-22T23:04:50 | lemon07r | false | null | 0 | jhbtbu8 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbtbu8/ | false | 2 |
t1_jhbsw56 | I think they've changed the zip file that downloads for oogabooga now so it doesn't actually exist anymore, so the script can't download it.
They've also changed the structure and names of the files. | 1 | 0 | 2023-04-22T23:01:13 | echothought | false | null | 0 | jhbsw56 | false | /r/LocalLLaMA/comments/12cfnqk/koboldcpp_combining_all_the_various_ggmlcpp_cpu/jhbsw56/ | false | 1 |
t1_jhbrgv2 | [deleted] | -1 | 0 | 2023-04-22T22:49:39 | [deleted] | true | null | 0 | jhbrgv2 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbrgv2/ | false | -1 |
t1_jhbrapt | Not sure what you're saying but maybe I could have worded that as "GPT4 was also smarter before it was fine tuned" | 1 | 0 | 2023-04-22T22:48:14 | i_wayyy_over_think | false | null | 0 | jhbrapt | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhbrapt/ | false | 1 |
t1_jhbqp7u | I am talking about potentially upgrading the computer (for work). This computer doesn't have a GPU | 1 | 0 | 2023-04-22T22:43:24 | rwaterbender | false | null | 0 | jhbqp7u | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbqp7u/ | false | 1 |
t1_jhbqo8r | Took me a while to figure that out too! The key thing is to look for ggml format, which is what will run native in llama.cpp. Weights with .safetensors extensions can be converted easily without a GPU using the [convert.py](https://convert.py) script included with llama.cpp but they won't work 'out of the box.'
The c... | 3 | 0 | 2023-04-22T22:43:10 | spanielrassler | false | null | 0 | jhbqo8r | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhbqo8r/ | false | 3 |
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