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_jgst1rb | Charged per second? 🤔 Worth a look, thanks | 2 | 0 | 2023-04-18T21:36:19 | morph3v5 | false | null | 0 | jgst1rb | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgst1rb/ | false | 2 |
t1_jgsr2gs | I have been testing and trying different methods and have wasted a bit of money test-training and stuff but having looked over it more thoroughly, I think I can modify and use the vigogne training code since they seem to have gotten the multi-GPU fine-tuning of llama-30B working and that would be perfect. This is the p... | 2 | 0 | 2023-04-18T21:23:13 | Sixhaunt | false | null | 0 | jgsr2gs | false | /r/LocalLLaMA/comments/12jzo5j/where_are_people_finetuning/jgsr2gs/ | false | 2 |
t1_jgsr1dj | The actual paper for the demo I linked has figured out some pretty creative ideas around those limitations
Each bot/agent has short term memory, long term memory and a personality that is stored as a seperate pre-context prompt that can be changed and updates as time goes by. Definitely worth a read.
Hell I think the... | 1 | 0 | 2023-04-18T21:23:01 | Nezarah | false | 2023-04-18T21:27:18 | 0 | jgsr1dj | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgsr1dj/ | false | 1 |
t1_jgsqqbg | yw! | 1 | 0 | 2023-04-18T21:21:02 | kuzcotopiallm | false | null | 0 | jgsqqbg | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsqqbg/ | false | 1 |
t1_jgsqkbw | Thanks, thats looks promising | 1 | 0 | 2023-04-18T21:19:57 | Momos04 | false | null | 0 | jgsqkbw | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsqkbw/ | false | 1 |
t1_jgspora | The GitHub page for each repository explains how to use. [For LLaVA](https://github.com/haotian-liu/LLaVA#llava-weights):
>We release LLaVA weights as delta weights to comply with the LLaMA model license. You can add our delta to the original LLaMA weights to obtain the LLaVA weights. Instructions:
>
>1. Get the o... | 2 | 0 | 2023-04-18T21:14:13 | Civil_Collection7267 | false | null | 0 | jgspora | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgspora/ | false | 2 |
t1_jgsp1bo | LoRA is a trick to finetune models without having access to the kind of compute resources needed for a full finetuning. Talk about one tenth of the vram requirements, which is why we've seen a lot of people finetuning models with their gpus lately.
Secondly, quantization does affect quality, though there are studies o... | 17 | 0 | 2023-04-18T21:10:03 | 2muchnet42day | false | null | 0 | jgsp1bo | false | /r/LocalLLaMA/comments/12r30q6/a_few_less_googleable_questions_about_local_llms/jgsp1bo/ | false | 17 |
t1_jgsmh8y | Where is the technical limitation? Is it the sheer overwhelming amount of training data that makes it able to discuss our own world? I mean, if I feed it very specific facts about a fictional world, wouldn't it be able to understand and operate within that? | 2 | 0 | 2023-04-18T20:53:51 | capybooya | false | null | 0 | jgsmh8y | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgsmh8y/ | false | 2 |
t1_jgslxl2 | Alpaca is crap. It can't write anything longer than a couple of kilobytes and won't even continue a story in parts, llama will.
They are still limited to 2048 tokens, but, alpaca doesn't even seem to use that many. Not even the 13b. | 1 | 0 | 2023-04-18T20:50:27 | CooperDK | false | null | 0 | jgslxl2 | false | /r/LocalLLaMA/comments/12iu461/what_is_the_best_model_so_far/jgslxl2/ | false | 1 |
t1_jgslldm | The game could be extremely lightweight with regards to graphics as long as the AI could be configured with a persistent world with backstory, rules, magic systems, etc, and then operating within that. But it seems the current models have a big problem even remembering short conversations so that may prove problematic.... | 1 | 0 | 2023-04-18T20:48:20 | capybooya | false | 2023-04-18T20:51:48 | 0 | jgslldm | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgslldm/ | false | 1 |
t1_jgslewc | Really? I tried to force it to write me a steamy NSFW story and even though it understood it had to respond and had to respond unfiltered, it still denied with a message about morality and consent and sh\*t.
Vicuna IS filtered and censored, down to the model training/tensors. Please refer to documentation otherwise i... | 3 | 0 | 2023-04-18T20:47:13 | CooperDK | false | null | 0 | jgslewc | false | /r/LocalLLaMA/comments/12iu461/what_is_the_best_model_so_far/jgslewc/ | false | 3 |
t1_jgsl4vs | Take a look at langchain. In particular the chains [llama-cpp](https://python.langchain.com/en/latest/modules/models/llms/integrations/llamacpp.html) section with a [template](https://python.langchain.com/en/latest/modules/prompts/chat_prompt_template.html) as the prompt you defined and the different types of [memory](... | 6 | 0 | 2023-04-18T20:45:31 | kuzcotopiallm | false | null | 0 | jgsl4vs | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsl4vs/ | false | 6 |
t1_jgskvfp | There are projects like [KoboldAI](https://github.com/KoboldAI/KoboldAI-Client) that attempt to turn language models into cooperative storytelling and games. | 3 | 0 | 2023-04-18T20:43:53 | GreaterAlligator | false | null | 0 | jgskvfp | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgskvfp/ | false | 3 |
t1_jgskc1x | About security. I'd recommend to run even popular repos in a sandbox, with a dedicated API key. | 12 | 0 | 2023-04-18T20:40:31 | Andriyo | false | null | 0 | jgskc1x | false | /r/LocalLLaMA/comments/12r30q6/a_few_less_googleable_questions_about_local_llms/jgskc1x/ | false | 12 |
t1_jgsjt74 | Sounds similar to ChatGPT, tending to always fall into the set of "assistant" behaviors because someone worked hard to literally burn that into its brain. Have you tried prompt engineering base LLaMA instead? | 0 | 0 | 2023-04-18T20:37:13 | phree_radical | false | null | 0 | jgsjt74 | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsjt74/ | false | 0 |
t1_jgsjkdv | Try to drop the temperature and set the top_p close to 1. Also, you can specify the number of tokens that should be returned via parameter "-n". If you go with -n 10, you should get only 10 tokens in the output. | 1 | 0 | 2023-04-18T20:35:40 | ThatLastPut | false | null | 0 | jgsjkdv | false | /r/LocalLLaMA/comments/12lssn2/what_are_your_shortest_prompts_response_you_use/jgsjkdv/ | false | 1 |
t1_jgsj0va | [Park, Joon Sung, et al. Generative Agents: Interactive Simulacra of Human Behavior. arXiv, 6 Apr. 2023.](https://arxiv.org/abs/2304.03442)
They used ChatGPT, but their ideas could be applied to any model. | 1 | 0 | 2023-04-18T20:32:15 | ag0 | false | null | 0 | jgsj0va | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgsj0va/ | false | 1 |
t1_jgsizuu | No, it's not, because of LLaMA's licensing restrictions. They've made a bunch of takedown requests that were honored.
The world's last, best hope is now [Red Pajama](https://www.reddit.com/r/LocalLLaMA/comments/12pwygc/red_pajama/). The same technique will work for that, and that should be eligible for publication o... | 1 | 0 | 2023-04-18T20:32:04 | PiquantAnt | false | null | 0 | jgsizuu | false | /r/LocalLLaMA/comments/12dxl2j/adultthemed_stories_with_llama/jgsizuu/ | false | 1 |
t1_jgsizlp | There is a token called "end of string token". It exists. Llama does have a concept of an end of a reply exactly through usage of this token.. | 3 | 0 | 2023-04-18T20:32:02 | ThatLastPut | false | null | 0 | jgsizlp | false | /r/LocalLLaMA/comments/12lssn2/what_are_your_shortest_prompts_response_you_use/jgsizlp/ | false | 3 |
t1_jgsiufy | My inner datahoader wants to tell you: "Build a NAS" | 3 | 0 | 2023-04-18T20:31:08 | phoenystp | false | null | 0 | jgsiufy | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgsiufy/ | false | 3 |
t1_jgsing1 | how does it deal with embeddings? i’m writing an api wrapper for llama.cpp but got stuck with embeddings for these agent based projects | 1 | 0 | 2023-04-18T20:29:56 | KeldenL | false | null | 0 | jgsing1 | false | /r/LocalLLaMA/comments/12p9nmq/new_autovicuna_projects_seems_to_be_chugging/jgsing1/ | false | 1 |
t1_jgsic07 | The .safetensor file is like the .ckpt files just without Python instructions.
Basically they are just zip files with a number of .pt files that are quantized. It most likely makes it faster.
That said, the linked model does not work. It gives me tons of crap like:
,; / C;
ATOTPO T) on to\`;;;;; UN or; se... | 2 | 0 | 2023-04-18T20:27:56 | CooperDK | false | 2023-04-18T20:42:49 | 0 | jgsic07 | false | /r/LocalLLaMA/comments/12iu461/what_is_the_best_model_so_far/jgsic07/ | false | 2 |
t1_jgsi79h | It should be possible. Compile llama cpp for Android, download vicuna 7b 1.1 4-bit ggml .bin file from huggingface.co and try to follow the setup instructions. | 3 | 0 | 2023-04-18T20:27:06 | ThatLastPut | false | null | 0 | jgsi79h | false | /r/LocalLLaMA/comments/12qnqjk/help_installing_vicuna_7b_on_google_pixel_6a/jgsi79h/ | false | 3 |
t1_jgsgjkj | Thats what I did, as I was testing with the Alpaca model, but the problem was it got much slower this way, because it had to read in a much longer prompt each time. But maybe I will resort to this again.
I also thought about training it but I am also fairly new to this all. | 2 | 0 | 2023-04-18T20:16:48 | Momos04 | false | null | 0 | jgsgjkj | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsgjkj/ | false | 2 |
t1_jgsgfo1 | Unfortunately I am having trouble finding that too, this is probably the largest community and it is quite small still... | 2 | 0 | 2023-04-18T20:16:05 | JustCametoSayHello | false | null | 0 | jgsgfo1 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgsgfo1/ | false | 2 |
t1_jgsg5y8 | I had a couple ideas bouncing around my head. Feel free to yoink and rework these if you can shape it into something game-like.
This was done with the 30B Alpaca model.
First was something related to Mad Libs:
### Replace ___ with a funny sentence fragment: "Now don't get me wrong, I'll ___, but I'm not from New Je... | 2 | 0 | 2023-04-18T20:14:23 | Fortyseven | false | 2023-04-18T22:42:17 | 0 | jgsg5y8 | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgsg5y8/ | false | 2 |
t1_jgsfun1 | And the weird thing is, if I am using the same settings on the 1.0 Vicuna Model, it seems to retain the initial prompt way better | 2 | 0 | 2023-04-18T20:12:22 | Momos04 | false | null | 0 | jgsfun1 | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsfun1/ | false | 2 |
t1_jgsfmdl | Right, you guys got it^^
I took this example from the Homer dataset from following the replicate blog/notebook for how to structure the data — then I reworked one of the examples for the Alpaca dataset format to use the keys from the Replicate example so I could train the LoRA in Ooba.
You can look at the alpaca fo... | 2 | 0 | 2023-04-18T20:10:55 | disarmyouwitha | false | null | 0 | jgsfmdl | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgsfmdl/ | false | 2 |
t1_jgsf10b | I know the KoboldAI version and its stand-alone can hold memories that get appended at the beginning of every prompt so that it doesn’t “forget” key point. For your use case, I think you’re better off limiting conversation to only a number of the most-recent and then keeping your initial prompts as automatically append... | 3 | 0 | 2023-04-18T20:07:09 | Warp_Preacher | false | null | 0 | jgsf10b | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgsf10b/ | false | 3 |
t1_jgseam5 | Do you know where you've seen people discussing making Llama loras? I'm keen to try but there's so little information out there or discussions about results | 1 | 0 | 2023-04-18T20:02:30 | AnOnlineHandle | false | null | 0 | jgseam5 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgseam5/ | false | 1 |
t1_jgsduo9 | A bit more details, I saw that example [here](https://replicate.com/blog/fine-tune-llama-to-speak-like-homer-simpson) with a [notebook](https://github.com/daanelson/homerbot_errata/blob/main/simpsons_analytics.ipynb) for parsing and the dataset from [kaggle](https://www.kaggle.com/datasets/prashant111/the-simpsons-data... | 3 | 0 | 2023-04-18T19:59:44 | kuzcotopiallm | false | null | 0 | jgsduo9 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgsduo9/ | false | 3 |
t1_jgsd9ul | Compared with the rtx 6000 ada, the a100, etc, the 4090 is very inexpensive.
For an AI/ML enthusiast who will maintain a contstant workload on the GPU, it's far more affordable than renting or purchasing professional grade equipment.
One can build a dual 3090 with nvlink and 64gb of ram for $2,500 compared to ~$30,00... | 2 | 0 | 2023-04-18T19:56:07 | faldore | false | null | 0 | jgsd9ul | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgsd9ul/ | false | 2 |
t1_jgsc8u2 | [deleted] | 1 | 0 | 2023-04-18T19:49:46 | [deleted] | true | null | 0 | jgsc8u2 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgsc8u2/ | false | 1 |
t1_jgsb4jy | 12GB = 13B 4bit should be enough. I run with just 10GB at around 1 t/sec and --prelayer 30 with maximum context length under Windows.
24GB = 30B 4bit. That appears to be the META, forget about 13B 8bit | 1 | 0 | 2023-04-18T19:42:50 | _Erilaz | false | null | 0 | jgsb4jy | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgsb4jy/ | false | 1 |
t1_jgsal2y | Awesome! Is there NSFW community version available as a huggingface link? I'm trying to follow instructions on how to run it on Ubuntu (I'm a noob, so I'm following what seems to be a noob friendly method). | 1 | 0 | 2023-04-18T19:39:25 | TomBerwick1984 | false | null | 0 | jgsal2y | false | /r/LocalLLaMA/comments/12dxl2j/adultthemed_stories_with_llama/jgsal2y/ | false | 1 |
t1_jgsaip4 | I know I have a 4090 myself and running a 30b model but 4090 and 3090 are more enthusiastic tier products than consumer products they are very expensive, I mean we saw a great leap forward when people could start training loras and such for stable diffusion when optimization brought requirements below 20gb vram and eve... | 1 | 0 | 2023-04-18T19:38:59 | Bandit-level-200 | false | null | 0 | jgsaip4 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgsaip4/ | false | 1 |
t1_jgsa1tp | Holy fucking shit.... if you could hook this up to a webcam and have feed a snapshot of the user to the model every x seconds, it could provide the chatbot additional context on who it is talking to and how the chatbot responses are being received, like whether the user thought it was funny, whether the user looks con... | 6 | 0 | 2023-04-18T19:36:03 | GrapplingHobbit | false | null | 0 | jgsa1tp | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgsa1tp/ | false | 6 |
t1_jgs97ql | I think I have to test if -f works instead of -p, the other option don't seem to solve my problem.
Do you know if your "--keep 512" works correctly? | 1 | 0 | 2023-04-18T19:30:40 | Momos04 | false | null | 0 | jgs97ql | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgs97ql/ | false | 1 |
t1_jgs8m5o | Could you please give any insight on how to actually install CLBlast for this? I've tried in different ways and built+installed it from source, but I'm still not really fluent at using Terminal commands in Linux so I'm probably missing a step. When I run "python koboldcpp.py" with or without specifying model it just gi... | 2 | 0 | 2023-04-18T19:26:47 | Danzing0 | false | null | 0 | jgs8m5o | false | /r/LocalLLaMA/comments/12jruw8/we_living_in_the_future_now_i_have_a_local_llm/jgs8m5o/ | false | 2 |
t1_jgs8krp | \--keep number of tokens to keep from the initial prompt (default: 0, -1 = all)
That is what the "-h" help message from llama.cpp says | 1 | 0 | 2023-04-18T19:26:32 | Momos04 | false | null | 0 | jgs8krp | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgs8krp/ | false | 1 |
t1_jgs88zo | Never heard of that myself... where did you learn that? | 0 | 0 | 2023-04-18T19:24:26 | BalorNG | false | null | 0 | jgs88zo | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgs88zo/ | false | 0 |
t1_jgs83yq | I thought "--keep -1" would keep the tokens from my initial prompt in its context | 4 | 0 | 2023-04-18T19:23:32 | Momos04 | false | null | 0 | jgs83yq | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgs83yq/ | false | 4 |
t1_jgs7soi | You cannot. The context length for prompting is not infinite (2000 tokens) There are tricks to give the model "long-term memory" though. | 0 | 0 | 2023-04-18T19:21:30 | BalorNG | false | null | 0 | jgs7soi | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgs7soi/ | false | 0 |
t1_jgs7n7j | Is there a tutorial out there that lists the amount of GPU needed? I have been seeing anywhere from 8GB to 32GB. Also, would you know if you can train/use these by utilizing multiple GPUs (Like a 24GB + two 12GB = 48GB), or are they needing to be one GPU with that amount of VRAM?
Last question, does parallelizing ... | 1 | 0 | 2023-04-18T19:20:31 | Devonance | false | null | 0 | jgs7n7j | false | /r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgs7n7j/ | false | 1 |
t1_jgs5ios | Here are my options on Linux:
./main -m ./models/vicunav1.113b/ggml-vicuna-13b-1.1-q4\_1.bin -n -1 --ctx\_size 2048 --batch\_size 28 --keep 512 --repeat\_penalty 1.0 -t 28 --temp 0.4 --top\_k 30 --top\_p 0.18 --interactive-first -ins --color -i -r "User:" -f ./prompts/alpacanativeenhanced.txt
Inside the text prompt:
... | 1 | 0 | 2023-04-18T19:06:47 | hashms0a | false | null | 0 | jgs5ios | false | /r/LocalLLaMA/comments/12qyeij/does_anyone_else_have_the_problem_that_their/jgs5ios/ | false | 1 |
t1_jgs4zbe | > This is why I don’t like Reddit. I shouldn’t have to go on a crusade against some rando because you didn’t like how I phrased my statement.
It's not a reddit thing, it's a posting on the internet thing. Whenever you post on a public forum, you may run into someone that disagrees with what you said.
Also, "crusade" ... | 0 | 0 | 2023-04-18T19:03:16 | KerfuffleV2 | false | 2023-04-18T20:25:51 | 0 | jgs4zbe | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgs4zbe/ | false | 0 |
t1_jgs4y1u | i've tried it and it's mind blowing. I've uploaded a picture and it was capable of reading the text inside and even understand what was funny about the meme.
In some other exemple it hallucinates things there or there or miss read/forgot a letter. but considering we can run this locally and the whole llama thing i... | 2 | 0 | 2023-04-18T19:03:02 | Qual_ | false | null | 0 | jgs4y1u | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgs4y1u/ | false | 2 |
t1_jgs2opg | Now if only we could run inference from that on consumer hardware. lol | 2 | 0 | 2023-04-18T18:48:30 | wind_dude | false | null | 0 | jgs2opg | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgs2opg/ | false | 2 |
t1_jgs2i4v | Appreciate the reply. Didn't know about being able to do that with Bing Chat; that could help me with some of what I wanted to accomplish, but the long-term vision I had would definitely be better suited by something unlimited I can call from code (OpenAI would have no issue with my tasks, but my hobby project will qui... | 1 | 0 | 2023-04-18T18:47:18 | chronicillnessreader | false | null | 0 | jgs2i4v | false | /r/LocalLLaMA/comments/12qwrmk/current_best_choice_model_for_summarizations/jgs2i4v/ | false | 1 |
t1_jgs1whp | [deleted] | 1 | 0 | 2023-04-18T18:43:26 | [deleted] | true | null | 0 | jgs1whp | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgs1whp/ | false | 1 |
t1_jgs1khr | >Is there any LLaMA which has been trained / tuned on something that would make it particularly suitable for this task?
There isn't. If you're only needing summarization, then Bing Chat might be a good alternative. It can accept an input of 25000 characters with a small change, and it's [about to receive](https://www.... | 1 | 0 | 2023-04-18T18:41:15 | Civil_Collection7267 | false | null | 0 | jgs1khr | false | /r/LocalLLaMA/comments/12qwrmk/current_best_choice_model_for_summarizations/jgs1khr/ | true | 1 |
t1_jgrzy3e | In games you usually expect NPCs to have self-consistency. LLM is too prone to contradict itself and that is still unsolved problem. Maybe it could be lampshaded that the character is drunk/mentally challenged lol. Or limited that the plot does not depend on it, like, NPC does not know much only drops hints that you ha... | 1 | 0 | 2023-04-18T18:30:44 | rini17 | false | null | 0 | jgrzy3e | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrzy3e/ | false | 1 |
t1_jgrzbch | Try Including the extension to the chat program: Chat.exe | 1 | 0 | 2023-04-18T18:26:38 | ThePseudoMcCoy | false | null | 0 | jgrzbch | false | /r/LocalLLaMA/comments/12qyumj/why_do_my_custom_bat_files_fail_to_load_the_model/jgrzbch/ | false | 1 |
t1_jgryp4s | It's absolutely not real, it's just AI fanfic with very surface level understanding how the models work. | 3 | 0 | 2023-04-18T18:22:40 | emmet_l_brown | false | null | 0 | jgryp4s | false | /r/LocalLLaMA/comments/12j48kt/two_weeks_with_eve_my_ai/jgryp4s/ | false | 3 |
t1_jgrxpgk | Yes. The first sentence is accurate. The second should have been "all the quality reasonably extricable" or something similar. We haven't hit the bottom of the loss valleys yet, but they do exist.
Regardless, there's a better way, which I meant to say. The paper suggests that for optimal training, the model size a... | 2 | 0 | 2023-04-18T18:16:13 | friedrichvonschiller | false | 2023-04-18T18:20:34 | 0 | jgrxpgk | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrxpgk/ | false | 2 |
t1_jgrxopg | That's really good to know, is that the "Data Format" file? It is a bit confusing how that is structured since you are just bundling all the keys into a string in the example above from replicate.com | 1 | 0 | 2023-04-18T18:16:05 | JustCametoSayHello | false | null | 0 | jgrxopg | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgrxopg/ | false | 1 |
t1_jgrxnwi | I hate to be that guy - but how would I download this - or MiniGPT-4? | 2 | 0 | 2023-04-18T18:15:57 | Wroisu | false | null | 0 | jgrxnwi | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgrxnwi/ | false | 2 |
t1_jgrud8y | You need to wait a bit so the model gets updated with the new weights. As you can see in the "Model Card" tab of vicuna-13b-free, the model currently uses Vicuna 1.0 weights and it's fine-tuned with the v3 "unfiltered" dataset. In one of the issues (you can check it in the "Community" tab), the author declared his inte... | 3 | 0 | 2023-04-18T17:54:39 | RYSKZ | false | null | 0 | jgrud8y | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgrud8y/ | false | 3 |
t1_jgrtvg6 | MiniGPT-4 [https://minigpt-4.github.io/](https://minigpt-4.github.io/)
LLaVa link is in OP. | 2 | 0 | 2023-04-18T17:51:30 | rerri | false | null | 0 | jgrtvg6 | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgrtvg6/ | false | 2 |
t1_jgrtuak | I case of player need to live chat text to NPC, OK, need realtime. But for witch type of game?
But for more immersive play in a openworld with NPC, dialogs can be generated by a model at startup. The NPCs in the openworld will have differents dialogs at every new start.
Imagine walking in a street, and NPC peoples ch... | 8 | 0 | 2023-04-18T17:51:18 | PossessionOk6481 | false | null | 0 | jgrtuak | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrtuak/ | false | 8 |
t1_jgrtdbj | It’s def. Hallucinating. Llama doesn’t have a 17billion parameter model and was only trained on text data.
Edit: Maybe you can link *us* the articles so we can compare =] | 2 | 0 | 2023-04-18T17:48:17 | disarmyouwitha | false | null | 0 | jgrtdbj | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgrtdbj/ | false | 2 |
t1_jgrtaxr | It can be done! [Just isn’t easy.](https://youtu.be/wdYvmFvoD44) | 2 | 0 | 2023-04-18T17:47:52 | Cczwork | false | null | 0 | jgrtaxr | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrtaxr/ | false | 2 |
t1_jgrsbrh | Next time create a Formatted template when training your LoRA— you can still give it JSON training data.
You create the format with the keys from the json data, so for example..
Training data:
{'previous': 'Marge Simpson: Ooo, careful, Homer.',
'character': 'Homer Simpson',
'line': "There's no time to b... | 3 | 0 | 2023-04-18T17:41:36 | disarmyouwitha | false | 2023-04-18T17:46:04 | 0 | jgrsbrh | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgrsbrh/ | false | 3 |
t1_jgrrumi | If you want the best model for a fixed size, there's no "optimal" number. You just take a bigger dataset and/or train for longer. The training curves of all LLM papers show that decreasing validation loss is slowing down but nowhere near flatlining. | 2 | 0 | 2023-04-18T17:38:35 | bloc97 | false | null | 0 | jgrrumi | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrrumi/ | false | 2 |
t1_jgrrcue | That makes sense, would take a large load off. You'd still need to either load the model from storage every time or keep it in RAM needing an extra 4gb 6gb | 1 | 0 | 2023-04-18T17:35:26 | kif88 | false | null | 0 | jgrrcue | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrrcue/ | false | 1 |
t1_jgrr9po | [deleted] | 1 | 0 | 2023-04-18T17:34:52 | [deleted] | true | null | 0 | jgrr9po | false | /r/LocalLLaMA/comments/12lkc49/twitter_announcing_gpt4allj_the_first_apache2/jgrr9po/ | false | 1 |
t1_jgrprxh | Llama.cpp runs pretty well on CPU.
You might not need the LLM inferencing the whole time, perhaps only when you are interacting with a NPC | 1 | 0 | 2023-04-18T17:25:12 | Zyj | false | null | 0 | jgrprxh | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrprxh/ | false | 1 |
t1_jgrp9d5 | You can get Nvidia A10 with 24Gb VRAM at Lambdalabs for 0.6$ per hour, so you get more than 1000 hours of use compared to a secondhand 3090 (without counting electricity). It's also calculated per secon I think, so it would likely last you decades before you reach the same price as buying a card.
You could also rent A... | 2 | 0 | 2023-04-18T17:21:53 | hapliniste | false | null | 0 | jgrp9d5 | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgrp9d5/ | false | 2 |
t1_jgrnm96 | You get the luxury of privacy.
The only reason I would buy a GPU rn is for running LLM's.
I'm almost certain it'll be cheaper to buy a GPU than rent one, prove me wrong - please! | 3 | 0 | 2023-04-18T17:11:07 | morph3v5 | false | null | 0 | jgrnm96 | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgrnm96/ | false | 3 |
t1_jgrmnqg | llama llama in a red pajama! Yaaaay! | 1 | 0 | 2023-04-18T17:04:56 | GreatGatsby00 | false | null | 0 | jgrmnqg | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrmnqg/ | false | 1 |
t1_jgrmjhs | My guess is we need to wait another few weeks for this.
We'll see some useful small/tiny models with less parameters but better training data soon.
We're already halfway there with the llama models.
For game characters that don't need to write poetry or do your college work, a lean model will be fine.
People are al... | 9 | 0 | 2023-04-18T17:04:10 | morph3v5 | false | null | 0 | jgrmjhs | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrmjhs/ | false | 9 |
t1_jgrlvg0 | Would make games so immersive and add a ton of replay value. Even if it's the same choices you wouldn't see the exact same text every time.
I wonder(and I am a total noob) if you could make an interactive story type text game with a small language model. Maybe hold the world info separately with normal code? I saw how... | 1 | 0 | 2023-04-18T16:59:51 | kif88 | false | null | 0 | jgrlvg0 | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrlvg0/ | false | 1 |
t1_jgrlb7x | I can see that but it's still a lot of requirements in a time when GPU market has only gotten worse since the 2016 bubble. Needing 4gb and so much GPU power for the ai leaves little for the rest of your game. | 1 | 0 | 2023-04-18T16:56:15 | kif88 | false | null | 0 | jgrlb7x | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrlb7x/ | false | 1 |
t1_jgrl8oo | Perhaps they will open up the Library of Congress to the LLM community some day. | 0 | 0 | 2023-04-18T16:55:49 | GreatGatsby00 | false | null | 0 | jgrl8oo | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrl8oo/ | false | 0 |
t1_jgrl1qg | " Where this gets really exciting is that we now have a dataset that is an excellent starting point for extension. *This is just the beginning*, and **that's** the llama's pajamas."
Sounds cozy. \^\_\_\^ | 3 | 0 | 2023-04-18T16:54:36 | GreatGatsby00 | false | null | 0 | jgrl1qg | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrl1qg/ | false | 3 |
t1_jgrklq1 | This requires the underlying cuda code to be rewritten and do this explicitly. I can understand code that is compile to run on a specific supercomputer to do this, say if you have training code to run on Summit. You know exactly what each resources you have and their performance. It might also make sense if you have... | 1 | 0 | 2023-04-18T16:51:47 | Faintly_glowing_fish | false | null | 0 | jgrklq1 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgrklq1/ | false | 1 |
t1_jgrk8l5 | [Plenty of slaves for my robot colony](https://www.youtube.com/watch?v=t1__1kc6cdo)... | 3 | 0 | 2023-04-18T16:49:30 | unculturedperl | false | null | 0 | jgrk8l5 | false | /r/LocalLLaMA/comments/12lkc49/twitter_announcing_gpt4allj_the_first_apache2/jgrk8l5/ | false | 3 |
t1_jgrjqk3 | They can.
https://rentry.org/llama-tard-v2
https://github.com/tloen/alpaca-lora
You can run inference with 65b on on dual 3090 or dual 4090, or 30b on a single card.
You can use the .ggml (llama.cpp) to do it on CPU (though it's very slow) | 2 | 0 | 2023-04-18T16:46:19 | faldore | false | null | 0 | jgrjqk3 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrjqk3/ | false | 2 |
t1_jgrjdid | > I don’t know 🤷♂️ why your trying to argue against me.
You initially said:
> Whereas just using Ram or SWAP will require the GPU to route data through the CPU causing that horrendously slow performance and increased delay (latency).
This is very strongly implying that there will be a major difference such that t... | 2 | 0 | 2023-04-18T16:44:01 | KerfuffleV2 | false | null | 0 | jgrjdid | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgrjdid/ | false | 2 |
t1_jgrhyiu | Dang want to make a LoRA but my rtx 3060 wont cut it I don't think... | 1 | 0 | 2023-04-18T16:35:04 | watchforwaspess | false | null | 0 | jgrhyiu | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgrhyiu/ | false | 1 |
t1_jgrhyj8 | You don't really want the originals anyway.
The repackaged models are on huggingface.
https://huggingface.co/yahma/llama-7b-hf | 1 | 0 | 2023-04-18T16:35:04 | faldore | false | null | 0 | jgrhyj8 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrhyj8/ | false | 1 |
t1_jgrge7l | So take **Sci-Hub** and get unlimited knowledge | 3 | 0 | 2023-04-18T16:25:00 | Raywuo | false | null | 0 | jgrge7l | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrge7l/ | false | 3 |
t1_jgrf7d3 | [deleted] | 1 | 0 | 2023-04-18T16:17:27 | [deleted] | true | null | 0 | jgrf7d3 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgrf7d3/ | false | 1 |
t1_jgrdk35 | Very interesting~ thank you for the resource. =]
Edit: I will do my own testing to see if it’s worth including the flag for my use case~ | 1 | 0 | 2023-04-18T16:06:50 | disarmyouwitha | false | 2023-04-18T16:51:00 | 0 | jgrdk35 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgrdk35/ | false | 1 |
t1_jgrd6ib | That ggml file used by llama.cpp is a derivative work of llama because it contains a transformation of the base model.
If is was just a Delta that would be one thing.
But it contains the original.
Using it as a consumer - fine
But using it as a foundation for a business - investors will think twice, that's a liability.... | 5 | 0 | 2023-04-18T16:04:22 | faldore | false | null | 0 | jgrd6ib | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgrd6ib/ | false | 5 |
t1_jgrckw1 | Everything I've seen seems to state that it either has no effect or actually worsens inference. They mentioned performance metrics in the Ooba PR.
https://github.com/oobabooga/text-generation-webui/pull/950 | 2 | 0 | 2023-04-18T16:00:29 | TeamPupNSudz | false | null | 0 | jgrckw1 | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgrckw1/ | false | 2 |
t1_jgrbxm7 | > I mean, 40% is 40%, 15 seconds down to 7 is astronomical in terms of increased performance.
"Up to 40%" is not the same as always getting 40%. When statistics are phrased that way, the figure is almost always a best case scenario that rarely occurs in the real world.
You can read it as "*the best you'll ever get is... | 1 | 0 | 2023-04-18T15:56:17 | KerfuffleV2 | false | null | 0 | jgrbxm7 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgrbxm7/ | false | 1 |
t1_jgrb9qd | This might be what your looking for as a free open source alternative https://www.sbert.net/examples/applications/computing-embeddings/README.html | 1 | 0 | 2023-04-18T15:52:03 | tinykidtoo | false | null | 0 | jgrb9qd | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgrb9qd/ | false | 1 |
t1_jgrb3og | An interesting thing to do would be to run the AI powered game for a while with play testers, and then log the most common NPC responses and index them. Plaintext storage takes less ressources than running a huge AI language model every time.
Basically, use the AI for the initial content creation, and then only for e... | 2 | 0 | 2023-04-18T15:50:59 | KriosXVII | false | null | 0 | jgrb3og | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgrb3og/ | false | 2 |
t1_jgray5t | isn't that basically oa? | 1 | 0 | 2023-04-18T15:50:00 | htrp | false | null | 0 | jgray5t | false | /r/LocalLLaMA/comments/12ozm3g/carperai_made_vicuna_rlhf_release_soon/jgray5t/ | false | 1 |
t1_jgr9rvi | My ultimate intent is to roll everything I'm working on into a roguelike. | 2 | 0 | 2023-04-18T15:42:21 | toothpastespiders | false | null | 0 | jgr9rvi | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgr9rvi/ | false | 2 |
t1_jgr9ep0 | I’m curious about the startup idea. Isn’t the whole point of using an language model is to generate responses dynamically to user input, instead of the canned one? | 6 | 0 | 2023-04-18T15:39:58 | andw1235 | false | null | 0 | jgr9ep0 | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgr9ep0/ | false | 6 |
t1_jgr99ob | Anyway, you shouldn't buy a gpu entirely for this purpose, it would likely be cheaper to use cloud gpus. If you're gaming too that's another story.
Also can I ask what you would do with a local LLM? I'm not sure what it provides right now thats so interesting (of course I expect new techs and models to be more interes... | 3 | 0 | 2023-04-18T15:39:04 | hapliniste | false | null | 0 | jgr99ob | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgr99ob/ | false | 3 |
t1_jgr8t4y | [deleted] | 1 | 0 | 2023-04-18T15:36:03 | [deleted] | true | null | 0 | jgr8t4y | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgr8t4y/ | false | 1 |
t1_jgr8668 | Chroma is a good local solution, it's a LLM-native DB. | 1 | 0 | 2023-04-18T15:31:46 | Common_Ad_6362 | false | null | 0 | jgr8668 | false | /r/LocalLLaMA/comments/12nh2bz/new_to_llama_trying_to_create_a_personal_project/jgr8668/ | false | 1 |
t1_jgr7sly | Damn this is pretty cool! | 1 | 0 | 2023-04-18T15:29:15 | yoojbruin | false | null | 0 | jgr7sly | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgr7sly/ | false | 1 |
t1_jgr3mqd | I’ve just ordered a new 2TB ssd solely because of that xD | 6 | 0 | 2023-04-18T15:01:36 | AdvenVrasco | false | null | 0 | jgr3mqd | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgr3mqd/ | false | 6 |
t1_jgr3k7c | > Here is the link to the Microsoft DirectStorage Feature
I'm not saying I don't believe it's a thing that exists, or that it's worthless. Freeing up the CPU to do other stuff is going to be a performance win.
What I am skeptical about is that it's something that will take performance from "brutally slow" to "this p... | 3 | 0 | 2023-04-18T15:01:08 | KerfuffleV2 | false | null | 0 | jgr3k7c | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgr3k7c/ | false | 3 |
t1_jgr3ioo | The 4070 is a dud is why. | 1 | 0 | 2023-04-18T15:00:51 | BuckwheatMechanics | false | null | 0 | jgr3ioo | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgr3ioo/ | false | 1 |
t1_jgr1v11 | It's inevitable, but there's going to be some trial and error to figure out the best way to do it. Do game devs use specially trained, small local models for this? Or do they tie into larger, more powerful and faster cloud infrastructure and include a sub fee to pass the cost along?
For me, I feel like the tech right ... | 3 | 0 | 2023-04-18T14:49:46 | synn89 | false | null | 0 | jgr1v11 | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgr1v11/ | false | 3 |
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