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_jgr11ax | [deleted] | 1 | 0 | 2023-04-18T14:44:10 | [deleted] | true | null | 0 | jgr11ax | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgr11ax/ | false | 1 |
t1_jgqzuen | I think projects like llama.cpp show that a 7B model is suitable for certain purposes and it needs only 4gb and a CPU. Soon there will be alternatives for LLaMA so you could use it to develop prototypes and switch to something else that allows commercial use later on (Edit: As in right now, try StableLM!)
Demanding an ... | 2 | 0 | 2023-04-18T14:36:01 | Zyj | false | 2023-04-19T18:04:51 | 0 | jgqzuen | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqzuen/ | false | 2 |
t1_jgqzgkh | RWKV? Not yet as good as LLaMA but there is tons of work being done right now with it. Currently I don’t know if RWKV models have any decent quantization yet, but it will probably get done soon enough. | 3 | 0 | 2023-04-18T14:33:17 | Small-Fall-6500 | false | null | 0 | jgqzgkh | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqzgkh/ | false | 3 |
t1_jgqypmi | > Well, that’s because the DirectStorage feature allows the GPU to directly access the Storage devices via PCIe bus.
I find it _really_ hard to believe that that routing the data through the CPU would be a bottleneck. It's basically just a `memcpy` and pretty much any CPU made in the last decade is going to be able to... | 2 | 0 | 2023-04-18T14:28:03 | KerfuffleV2 | false | null | 0 | jgqypmi | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgqypmi/ | false | 2 |
t1_jgqyo8l | Llama 7B has the embedding size of 4096. You could use that if you can relax your restriction by a factor of 4. For strict 1k embedding, I would train a K-means on a sample of your data to get the projection from 4k to 1k. | 3 | 0 | 2023-04-18T14:27:46 | pseudonerv | false | null | 0 | jgqyo8l | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgqyo8l/ | false | 3 |
t1_jgqxgs0 | This was the solution! Thank you! | 1 | 0 | 2023-04-18T14:19:25 | Jibbyy | false | null | 0 | jgqxgs0 | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgqxgs0/ | false | 1 |
t1_jgqw24e | > They expect to release the first models in weeks.
[redditor source](https://www.reddit.com/r/LocalLLaMA/comments/12pwygc/red_pajama/jgpgu96/) | 2 | 0 | 2023-04-18T14:09:13 | sfhsrtjn | false | null | 0 | jgqw24e | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqw24e/ | false | 2 |
t1_jgqvyt6 | no need to have a full model like actual ones (Vicunia, etc).
Only a small one with base language fondation, and tuned for the game lore.
No need to have real time generation, the generation can be made at startup and cached.
Model can be build from scratch, in a simple way, like nano-GPT can do for exemple. No need... | 18 | 0 | 2023-04-18T14:08:34 | PossessionOk6481 | false | 2023-04-18T14:14:39 | 0 | jgqvyt6 | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqvyt6/ | false | 18 |
t1_jgqvdh1 | Huge! - RedPajama announced the successful reproduction of the LLaMA training dataset, consisting of over 1.2 trillion tokens. | 2 | 0 | 2023-04-18T14:04:13 | juanpasa2 | false | null | 0 | jgqvdh1 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqvdh1/ | false | 2 |
t1_jgqtykq | May be it will be used for NPC dialog on openworld games, with a custom in house model, to have randomized variety of dialogs, rather than fixed predetermined dialogs.
But for now, for performance issues, I think they will be pregenerated on cache and not real time generated. | 1 | 0 | 2023-04-18T13:53:49 | PossessionOk6481 | false | null | 0 | jgqtykq | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqtykq/ | false | 1 |
t1_jgqtxk0 | Due to the high VRAM, CPU, RAM and sometimes even storage requirements (7-20gb a model), your sacrificing A TON of your computers processing, memory and/or graphical power just to run the model.
Does not leave much left over for the game part of your game.
Also I think the minimum requirement for a Ai model that’s n... | 14 | 0 | 2023-04-18T13:53:37 | Nezarah | false | 2023-04-18T15:13:08 | 0 | jgqtxk0 | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqtxk0/ | false | 14 |
t1_jgqttcr | This can partially be handled by dynamically injecting a predefined context for each NPC and instructing the model to answer only from that knowledge base | 6 | 0 | 2023-04-18T13:52:47 | MotionTwelveBeeSix | false | null | 0 | jgqttcr | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqttcr/ | false | 6 |
t1_jgqtn2h | For the last few weeks, facebook has nearly (accidentally) redeemed themselves.
However, I started using local LLMs for work and could not use LLaMA and quickly stopped caring so much about it.
The best part of LLaMA is that people are making generic LLM apps so I can run it on CPU, one click installs, etc... I don't... | 4 | 0 | 2023-04-18T13:51:31 | uhohritsheATGMAIL | false | null | 0 | jgqtn2h | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqtn2h/ | false | 4 |
t1_jgqt37m | [deleted] | 4 | 0 | 2023-04-18T13:47:24 | [deleted] | true | null | 0 | jgqt37m | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqt37m/ | false | 4 |
t1_jgqsc89 | How much longer until the release? It didn't say in the article, not sure how long these take to train, Weeks? Months? | 1 | 0 | 2023-04-18T13:41:46 | uhohritsheATGMAIL | false | null | 0 | jgqsc89 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqsc89/ | false | 1 |
t1_jgqr5fg | Thank you everyone for your responses. I tried playing around further , but not really getting anywhere with the accuracy of responses.
​
* installed alpaca
* tried adding some text to instruction to setup context
Still getting arbitrary and way off responses. (See image attached). If the issue is with the m... | 1 | 0 | 2023-04-18T13:32:53 | homtanksreddit | false | null | 0 | jgqr5fg | false | /r/LocalLLaMA/comments/12o2tsi/newbie_installed_dalai_with_llama_locally_trying/jgqr5fg/ | false | 1 |
t1_jgqr3lj | Wait but this is before the gen 2 ada model for embeddings. Those costs are almost nothing now | 2 | 0 | 2023-04-18T13:32:30 | water_bottle_goggles | false | null | 0 | jgqr3lj | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgqr3lj/ | false | 2 |
t1_jgqqw6w | The problem is how to restrict the choices so that the game follows certain narrative. We still don't have the means to create worlds, characters, situations on the fly on par with word generation. | 3 | 0 | 2023-04-18T13:30:54 | [deleted] | false | null | 0 | jgqqw6w | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgqqw6w/ | false | 3 |
t1_jgqqdac | I too am familiar with the philosopher Mick Jagger, I believe the second part of that platitude is;
“But if you sometimes try, you find what you need”. | 7 | 0 | 2023-04-18T13:26:50 | Nezarah | false | null | 0 | jgqqdac | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgqqdac/ | false | 7 |
t1_jgqq2v3 | Ahh I suppose its fine-tune.. url says training
https://huggingface.co/docs/transformers/training | 2 | 0 | 2023-04-18T13:24:36 | uhohritsheATGMAIL | false | null | 0 | jgqq2v3 | false | /r/LocalLLaMA/comments/12qjrgq/will_i_be_able_to_train_on_my_6gb_vram_or_32gb/jgqq2v3/ | false | 2 |
t1_jgqorln | Do you mean train or fine-tune? | 1 | 0 | 2023-04-18T13:14:20 | Zyj | false | null | 0 | jgqorln | false | /r/LocalLLaMA/comments/12qjrgq/will_i_be_able_to_train_on_my_6gb_vram_or_32gb/jgqorln/ | false | 1 |
t1_jgqo8wj | [deleted] | 0 | 0 | 2023-04-18T13:10:12 | [deleted] | true | 2023-04-18T13:15:27 | 0 | jgqo8wj | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgqo8wj/ | false | 0 |
t1_jgqnfln | This looks very similar to MiniGPT-4. Are there meaningful differences between the two?
edit: I went ahead and linked webpages of both models to Bing and asked it to list similarities and differences between the two. Bing's analysis:
*Sure, I can try to compare these two new AI models based on the information I found... | 5 | 0 | 2023-04-18T13:03:39 | rerri | false | 2023-04-18T13:24:45 | 0 | jgqnfln | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgqnfln/ | false | 5 |
t1_jgqm9hb | I recently saw this comparison here [https://medium.com/@nils\_reimers/openai-gpt-3-text-embeddings-really-a-new-state-of-the-art-in-dense-text-embeddings-6571fe3ec9d9](https://medium.com/@nils_reimers/openai-gpt-3-text-embeddings-really-a-new-state-of-the-art-in-dense-text-embeddings-6571fe3ec9d9) | 6 | 0 | 2023-04-18T12:54:05 | phree_radical | false | null | 0 | jgqm9hb | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgqm9hb/ | false | 6 |
t1_jgqkstm | No, I wasn't making it up. That's what some people actually want.
LLaMA tried to filter things but it's in the common crawl data (they think) so there will always be biases in the base model anyway.
*LLaMA compares slightly favorably to both models on average. Our model is particularly biased in the religion categor... | 1 | 0 | 2023-04-18T12:41:53 | ambient_temp_xeno | false | null | 0 | jgqkstm | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqkstm/ | false | 1 |
t1_jgqkq2m | [deleted] | 5 | 0 | 2023-04-18T12:41:13 | [deleted] | true | null | 0 | jgqkq2m | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqkq2m/ | false | 5 |
t1_jgqje6v | [deleted] | 4 | 0 | 2023-04-18T12:29:32 | [deleted] | true | null | 0 | jgqje6v | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgqje6v/ | false | 4 |
t1_jgqjcfd | Looks very promising! The demo is unfortunately giving some network errors so i can't check how well it works at the moment. | 3 | 0 | 2023-04-18T12:29:05 | smallfried | false | null | 0 | jgqjcfd | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgqjcfd/ | false | 3 |
t1_jgqj7pz | To be fair, I don’t honestly know — I can’t perceive a difference.. but xformers was specifically written to work with Transformers (which LLM are built on) so I can’t see why it wouldn’t work, or why Ooba would add it if it didn’t do anything.
https://github.com/facebookresearch/xformers
Specifically, I *think* it’... | 1 | 0 | 2023-04-18T12:27:54 | disarmyouwitha | false | null | 0 | jgqj7pz | false | /r/LocalLLaMA/comments/12plu6t/slowshort_replies/jgqj7pz/ | false | 1 |
t1_jgqhs99 | SLI couldn’t combine GPU VRAM so I doubt LLM’s can.
What you need is VRAM, thick greasy VRAM, VRAM is what you need. lighting fast VRAM.
Should be a pinned post on the front page of this sub highlighting the VRAM requirements for different models. From the top of my head, 16gb for 13b-4bit, 24GB for 13b-8bit.
Or so... | 8 | 0 | 2023-04-18T12:15:05 | Nezarah | false | null | 0 | jgqhs99 | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgqhs99/ | false | 8 |
t1_jgqhovd | Any progress with finetuning on dataset with \~2000 token length?
BTW, Sixhaunt, it seems you are on the road to become the llama-guru of this reddit :D :D I still hope you are making notes as you go. | 1 | 0 | 2023-04-18T12:14:13 | szopen76 | false | null | 0 | jgqhovd | false | /r/LocalLLaMA/comments/12jzo5j/where_are_people_finetuning/jgqhovd/ | false | 1 |
t1_jgqhgx5 | its just slow as balls, theres a reason we have ram and dont just load everything from disk | 1 | 0 | 2023-04-18T12:12:09 | QTQRQD | false | null | 0 | jgqhgx5 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgqhgx5/ | false | 1 |
t1_jgqgv3f | Latest trick I learned from the most recent Ai paper on agents in a village is 1. Weighted memory based on recency of event and 2. Weighted memory based on significance of event.
GPT4, or another transformer can probably judge the significance for me….curious how I could train it to account for both. Ask GPT4 to Condu... | 3 | 0 | 2023-04-18T12:06:32 | Nezarah | false | null | 0 | jgqgv3f | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgqgv3f/ | false | 3 |
t1_jgqcyfl | [deleted] | 3 | 0 | 2023-04-18T11:27:30 | [deleted] | true | 2023-06-15T17:37:05 | 0 | jgqcyfl | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgqcyfl/ | false | 3 |
t1_jgqcrvo | How can you buy a 4070 but not a used 3090? I don't think you can split models on gpu if they're not the same. | 2 | 0 | 2023-04-18T11:25:32 | hapliniste | false | null | 0 | jgqcrvo | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgqcrvo/ | false | 2 |
t1_jgqc3ko | Here's a sneak peek of /r/StableDiffusion using the [top posts](https://np.reddit.com/r/StableDiffusion/top/?sort=top&t=all) of all time!
\#1: [I mad a python script the lets you scribble with SD in realtime](https://v.redd.it/kz9zncv6ifua1) | [522 comments](https://np.reddit.com/r/StableDiffusion/comments/12pcbne/i_m... | 0 | 0 | 2023-04-18T11:18:23 | sneakpeekbot | false | null | 0 | jgqc3ko | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqc3ko/ | false | 0 |
t1_jgqc2u3 | I saw a naked image generation comparison on r/stablediffusion and there was one 2.0 or 2.1.
Is it more resource intensive or does it require more vram to train the 2.x's?
I haven't tried training yet so I genuinely don't know. | 1 | 0 | 2023-04-18T11:18:10 | a_beautiful_rhind | false | null | 0 | jgqc2u3 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqc2u3/ | false | 1 |
t1_jgqbq95 | That racist worldview of not wanting to hear "as a language model" over mundane topics or roleplay light violence.
People who love censorship always strawman. | 11 | 0 | 2023-04-18T11:14:25 | a_beautiful_rhind | false | null | 0 | jgqbq95 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqbq95/ | false | 11 |
t1_jgqbgx9 | The gpt-x-alpaca doesn't seem censored for the most part. | 6 | 0 | 2023-04-18T11:11:34 | a_beautiful_rhind | false | null | 0 | jgqbgx9 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgqbgx9/ | false | 6 |
t1_jgqb5q4 | > larger datasets are better
That's really interesting. It's kind of counterintuitive, and I can't imagine why that would be, but I've seen it mentioned before. I wonder if there are specific settings that can be adjusted to make the process "better" at learning smaller training sets. | 1 | 0 | 2023-04-18T11:08:07 | candre23 | false | null | 0 | jgqb5q4 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgqb5q4/ | false | 1 |
t1_jgqaobs | [deleted] | 3 | 0 | 2023-04-18T11:02:39 | [deleted] | true | null | 0 | jgqaobs | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgqaobs/ | false | 3 |
t1_jgq7bj6 | i was doing some research on this and came across this https://github.com/PaddlePaddle/VIMER/tree/main/StrucTexT/v2 | 1 | 0 | 2023-04-18T10:21:16 | saintshing | false | null | 0 | jgq7bj6 | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgq7bj6/ | false | 1 |
t1_jgq78q2 | Yes, they could still change the license. Maybe that's even what Red Pajama might have hoped, saving them a lot of effort. If Meta keeps LLaMA closed, it might fall behind in relevance quickly. Either way, we'll have a powerful local LLM.
If the future is all about AI, it'll definitely be better with lots of local AIs... | 14 | 0 | 2023-04-18T10:20:14 | WolframRavenwolf | false | null | 0 | jgq78q2 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgq78q2/ | false | 14 |
t1_jgq71si | Depends what you mean by censored. Is it possible for something trained on human data to ever be neutral? I don't believe so.
Really toxic people seem unironically to believe LLMs are censored if they don't parrot their racist worldview.
Anyway, from the LLaMA paper: they did some work on the potential harms but it w... | 1 | 1 | 2023-04-18T10:17:37 | ambient_temp_xeno | false | 2023-04-18T10:21:41 | 0 | jgq71si | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgq71si/ | false | 1 |
t1_jgq67yf | Mods this guy is cancer. Everything he says in every post is wrong. Could be some joke, but actively spreading wrong information about local LLaMA. | 1 | 0 | 2023-04-18T10:06:16 | Qxarq | false | null | 0 | jgq67yf | false | /r/LocalLLaMA/comments/12iu461/what_is_the_best_model_so_far/jgq67yf/ | false | 1 |
t1_jgq605b | That sounds awesome! | 2 | 0 | 2023-04-18T10:03:14 | ThePseudoMcCoy | false | null | 0 | jgq605b | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgq605b/ | false | 2 |
t1_jgq4z6b | I've only just signed up and haven't had a chance to build anything with it yet, but this might be something to consider https://getmetal.io/ | 1 | 0 | 2023-04-18T09:48:56 | room606 | false | null | 0 | jgq4z6b | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgq4z6b/ | false | 1 |
t1_jgq3rjo | [deleted] | 1 | 0 | 2023-04-18T09:31:35 | [deleted] | true | null | 0 | jgq3rjo | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgq3rjo/ | false | 1 |
t1_jgq1xct | Following | 1 | 0 | 2023-04-18T09:04:08 | ihaag | false | null | 0 | jgq1xct | false | /r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgq1xct/ | false | 1 |
t1_jgq1s49 | Man if larger models could run on consumer gpus like stable diffusion then this project would really kickstart development of this. Still this is huge! | 3 | 0 | 2023-04-18T09:01:53 | Bandit-level-200 | false | null | 0 | jgq1s49 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgq1s49/ | false | 3 |
t1_jgq1a0s | very awesome | 3 | 0 | 2023-04-18T08:54:12 | jackcloudman | false | null | 0 | jgq1a0s | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgq1a0s/ | false | 3 |
t1_jgq16fq | >Apparently, LLaMA could've gone further with the milking if they'd wanted to?
Hopefully. The canonical paper on the subject predates LLaMA. It was written about Chinchilla, which had 1.4T tokens. It demonstrates that GPT-3, Gopher and others were oversized for the number of tokens they had to train on. If anythin... | 6 | 0 | 2023-04-18T08:52:43 | friedrichvonschiller | false | 2023-04-18T16:52:01 | 0 | jgq16fq | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgq16fq/ | false | 6 |
t1_jgq02g3 | [deleted] | 1 | 0 | 2023-04-18T08:35:54 | [deleted] | true | null | 0 | jgq02g3 | false | /r/LocalLLaMA/comments/12qd48p/openai_embeddings_api_alternative/jgq02g3/ | false | 1 |
t1_jgpzglr | Thank you so much. I was pulling my hair out in frustration over ethical regulations lol. | 2 | 0 | 2023-04-18T08:26:31 | ruryrury | false | null | 0 | jgpzglr | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgpzglr/ | false | 2 |
t1_jgpykhz | im just waiting for a good local solution, but yeah, tech is already here, just for chatgpt enjoyers. | 1 | 0 | 2023-04-18T08:13:07 | LienniTa | false | null | 0 | jgpykhz | false | /r/LocalLLaMA/comments/12nh2bz/new_to_llama_trying_to_create_a_personal_project/jgpykhz/ | false | 1 |
t1_jgpyamb | [deleted] | 5 | 0 | 2023-04-18T08:08:59 | [deleted] | true | 2023-04-18T20:08:32 | 0 | jgpyamb | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgpyamb/ | false | 5 |
t1_jgpxzyf | 1tb? That's way too little for the model size, it does not use chinchilla scaling.
Even 7-16b llama model got 1T TOKENS, that's like 3-4x the data, 30-60b models go 1.4T.
It is bloated and undertrained. Maybe better at Russian language in particular tho. | 3 | 0 | 2023-04-18T08:04:35 | BalorNG | false | null | 0 | jgpxzyf | false | /r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgpxzyf/ | false | 3 |
t1_jgpxr8p | They're being given access to THE supercomputer by the sounds of it.
[https://en.wikipedia.org/wiki/Frontier\_(supercomputer)](https://en.wikipedia.org/wiki/Frontier_(supercomputer))
Apparently, LLaMA could've gone further with the milking if they'd wanted to?
*Minus0 10 hours ago | root | parent | next \[–\]*
*In ... | 8 | 0 | 2023-04-18T08:00:50 | ambient_temp_xeno | false | null | 0 | jgpxr8p | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpxr8p/ | false | 8 |
t1_jgpwflb | Looking at the custom 2.1 models on Civitai, where there's like a dozen NSFW models uploaded every day, there appears to only be one 2.1 NSFW model and it's for hentai, and looks pretty average. It looks like you can't easily train NSFW back in.
Though, most of the 1.5 NSFW models are remixes of the leaked NovelAI cod... | 4 | 0 | 2023-04-18T07:41:20 | AnOnlineHandle | false | null | 0 | jgpwflb | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpwflb/ | false | 4 |
t1_jgptegy | Not just that. This is ultimately *the* way to expand the base model's knowledge and capability, not just tweak it. Now the world can add to the dataset and try anything it pleases. | 5 | 0 | 2023-04-18T06:58:12 | friedrichvonschiller | false | null | 0 | jgptegy | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgptegy/ | false | 5 |
t1_jgps398 | Thanks but I have no idea how to do that. | 2 | 0 | 2023-04-18T06:40:59 | rini17 | false | null | 0 | jgps398 | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jgps398/ | false | 2 |
t1_jgprr11 | It actually does better than blip2 in terms of character recognization. Of course it doesn’t do anything else but if Ocr is the only thing you are after there’s no need to use something so complex as blip2. It’s like your Swiss Army knife isn’t necessarily better than your $5 screwdriver set when really all you need... | 1 | 0 | 2023-04-18T06:36:30 | Faintly_glowing_fish | false | null | 0 | jgprr11 | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgprr11/ | false | 1 |
t1_jgpr3ku | because it's not very good | 1 | 0 | 2023-04-18T06:27:57 | space_iio | false | null | 0 | jgpr3ku | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgpr3ku/ | false | 1 |
t1_jgpqtx0 | I see, "alpaca format" and "alpaca chatbot format." Maybe I can accomplish what I want with one of those. I'm not looking for instruction-following behavior, though, but I'll continue reading. Thanks for your reply! | 3 | 0 | 2023-04-18T06:24:26 | phree_radical | false | 2023-04-18T06:29:15 | 0 | jgpqtx0 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgpqtx0/ | false | 3 |
t1_jgppzrh | I actually plan to do something like this but to train it on all my Facebook messages of the last 10+ years.
Preferably I would weight the training data so that the most recent years would be better remembered than the earlier years but not sure how to do this.
The idea, try and clone myself. Literally an episode of... | 10 | 0 | 2023-04-18T06:13:57 | Nezarah | false | null | 0 | jgppzrh | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgppzrh/ | false | 10 |
t1_jgppwcf | In the Oobabooga platform i saw the "formatted" option so I thought it would process it accordingly, but in retrospect that was a bad idea, I'd redo this without the JSON for sure | 5 | 0 | 2023-04-18T06:12:47 | JustCametoSayHello | false | null | 0 | jgppwcf | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgppwcf/ | false | 5 |
t1_jgpphd5 | I'm gonna attempt this, so I'm grateful for the example, but it seems wrong. Why's it spitting out JSON? The training data was formatted as JSON, but I expect to train on completing the text described by the JSON, not the JSON text itself... Did you train it with the expectation that it would spit out a JSON represen... | 4 | 0 | 2023-04-18T06:07:50 | phree_radical | false | null | 0 | jgpphd5 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgpphd5/ | false | 4 |
t1_jgppeqr | [removed] | 1 | 0 | 2023-04-18T06:06:59 | [deleted] | true | null | 0 | jgppeqr | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgppeqr/ | false | 1 |
t1_jgppa2b | I've seen a lot of people dumping in novels or textbooks since those have a ton of text that relate to each other | 1 | 0 | 2023-04-18T06:05:30 | JustCametoSayHello | false | null | 0 | jgppa2b | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgppa2b/ | false | 1 |
t1_jgpp4s8 | All the fine-tuned versions are fine tuned on a "censored" dataset. But I have never heard anything about vanilla llama being fine tuned to refuse requests. | 7 | 0 | 2023-04-18T06:03:45 | pokeuser61 | false | null | 0 | jgpp4s8 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpp4s8/ | false | 7 |
t1_jgpohi8 | I haven't tried anything over 50kb of text. That's a good point you probably exported a ton of chat history text.
Problem is I don't have that much data about the specific thing I want to fine tune - I don't think it'd work to just make a file of the limited text but duplicated multiple times.. but maybe. Alternative... | 1 | 0 | 2023-04-18T05:56:16 | ironmagnesiumzinc | false | null | 0 | jgpohi8 | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgpohi8/ | false | 1 |
t1_jgpn7uc | Here's the PR
Not too late to ask Facebook to change their minds
https://github.com/facebookresearch/llama/pull/184 | 14 | 0 | 2023-04-18T05:41:42 | faldore | false | null | 0 | jgpn7uc | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpn7uc/ | false | 14 |
t1_jgpm7hj | What file size are you using? I think for sure larger datasets are better, anything small hasn't worked at all yet | 1 | 0 | 2023-04-18T05:30:36 | JustCametoSayHello | false | null | 0 | jgpm7hj | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgpm7hj/ | false | 1 |
t1_jgpm1yj | Well, if you literally feed the entire Internet to the model and it is still not able to train any better, then there is something wrong with the model itself | 15 | 0 | 2023-04-18T05:28:58 | Possible-Moment-6313 | false | null | 0 | jgpm1yj | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpm1yj/ | false | 15 |
t1_jgplppd | ooh, goody | 1 | 0 | 2023-04-18T05:25:18 | eschatosmos | false | null | 0 | jgplppd | false | /r/LocalLLaMA/comments/12p9nmq/new_autovicuna_projects_seems_to_be_chugging/jgplppd/ | false | 1 |
t1_jgplpee | Facebook just lost a golden opportunity to spearhead open-source model development. LLaMA may perish. This subreddit might have an archaic name shortly. | 19 | 0 | 2023-04-18T05:25:13 | friedrichvonschiller | false | null | 0 | jgplpee | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgplpee/ | false | 19 |
t1_jgpl1uo | I'm really skeptical of how well it's actually learning from this sort of thing. I've played around fine tuning with oobabooga and it seems to rarely ever remember facts and definitions that are specifically in the text. Maybe I need to do the QA method or have a larger file though. Its possible it learns conversation ... | 1 | 0 | 2023-04-18T05:18:10 | ironmagnesiumzinc | false | null | 0 | jgpl1uo | false | /r/LocalLLaMA/comments/12q4ctj/using_llamalora_to_impersonate_friends/jgpl1uo/ | false | 1 |
t1_jgpklqh | >training on more data for longer to optimize for quality, not compute.
[Optimal model size for quality](https://towardsdatascience.com/a-new-ai-trend-chinchilla-70b-greatly-outperforms-gpt-3-175b-and-gopher-280b-408b9b4510) depends on the number of tokens. They are saying they \[and ORNL\] will spend the cycles requ... | 5 | 0 | 2023-04-18T05:13:24 | friedrichvonschiller | false | 2023-04-18T06:55:12 | 0 | jgpklqh | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpklqh/ | false | 5 |
t1_jgpkjnd | Ask llama about summoning demons. It's a pretty easy test to see if a model has gpt censoring in it or not. Pretty sure llama has censorship but I can't seem to find the model atm to test it. vicuna gpt4all alpaca and alpacino are all censored. | 5 | 0 | 2023-04-18T05:12:47 | Honato2 | false | null | 0 | jgpkjnd | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpkjnd/ | false | 5 |
t1_jgpj2sa | No worries. I can upgrade the server to have 1.5TB of RAM, but adding tnat wouldn't help.
To get a better reply time, I'll need to upgrade my GPUs. | 2 | 0 | 2023-04-18T04:57:43 | redfoxkiller | false | null | 0 | jgpj2sa | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgpj2sa/ | false | 2 |
t1_jgpipkn | Oh ok. I thought you were saying you were using one of the old 16 gpu grid servers. I was going to be stunned :). Now I see I misread you. 384 ram is still awesome, but for some reason I thought you said 384 vram, lol.
Still an impressive result. | 3 | 0 | 2023-04-18T04:54:07 | teachersecret | false | null | 0 | jgpipkn | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgpipkn/ | false | 3 |
t1_jgphomh | Ohh, I see. Recreating the base model! Very good | 6 | 0 | 2023-04-18T04:44:30 | phree_radical | false | null | 0 | jgphomh | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgphomh/ | false | 6 |
t1_jgphixl | That's exactly why RedPajama is being created. To make an alternative to Llama that's unencumbered by Facebook's license. | 14 | 0 | 2023-04-18T04:43:02 | faldore | false | null | 0 | jgphixl | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgphixl/ | false | 14 |
t1_jgpgu96 | They're working in partnership with Oak Ridge National Labs to train a full suite of model sizes with instruction-tuned versions. They expect to release the first models in weeks.
An [empirical analysis shows](https://arxiv.org/pdf/2203.15556.pdf) 1.2 trillion tokens is useful for training a very high-quality \~65B m... | 10 | 0 | 2023-04-18T04:36:30 | friedrichvonschiller | false | 2023-04-18T04:59:40 | 0 | jgpgu96 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpgu96/ | false | 10 |
t1_jgpgtk0 | I thought the licensing of LLaMA was a problem? Have we moved the goalpost? | 3 | 0 | 2023-04-18T04:36:19 | phree_radical | false | null | 0 | jgpgtk0 | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpgtk0/ | false | 3 |
t1_jgpg40d | They may be, but I'm sure they're also on the record saying that the future [is not in bigger models](https://www.wired.com/story/openai-ceo-sam-altman-the-age-of-giant-ai-models-is-already-over/), which may run a bit contrary to that.
I personally suspect we'll start generating data quickly, such as through licensed ... | 4 | 0 | 2023-04-18T04:29:43 | friedrichvonschiller | false | null | 0 | jgpg40d | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpg40d/ | false | 4 |
t1_jgpf1gy | It’s based Llama so that would preclude commercial use. I’d love to see this plugged into a T5. | 2 | 0 | 2023-04-18T04:20:43 | meowkittykitty510 | false | null | 0 | jgpf1gy | false | /r/LocalLLaMA/comments/12p9xsb/minigpt4_enhancing_visionlanguage_understanding/jgpf1gy/ | false | 2 |
t1_jgpetji | openai is on the record saying there's still more good date to be used and we won't soon run out, i believe | 9 | 0 | 2023-04-18T04:18:36 | lillybaeum | false | null | 0 | jgpetji | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpetji/ | false | 9 |
t1_jgpefqg | Stop, stop, my hard drive is already full of models. | 16 | 0 | 2023-04-18T04:14:59 | bioemerl | false | null | 0 | jgpefqg | false | /r/LocalLLaMA/comments/12q5v0a/llava_a_vision_language_assistant_using_llama/jgpefqg/ | false | 16 |
t1_jgpedqd | How to make donation? I think that to against this big giant close AI, a community fund can speedup the process. | 6 | 0 | 2023-04-18T04:14:28 | Nice_Bank_3929 | false | null | 0 | jgpedqd | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpedqd/ | false | 6 |
t1_jgpea7q | Huh. Could've sworn that's what I was using but apparently not. Thanks for the help! | 1 | 0 | 2023-04-18T04:13:34 | TDude53 | false | null | 0 | jgpea7q | false | /r/LocalLLaMA/comments/12q9a3v/anyone_else_getting_this_markdown_code_at_the_end/jgpea7q/ | false | 1 |
t1_jgpe2ij | Use Vicuna v1.1, it follows instructions better without the hallucinations at the end
[https://www.reddit.com/r/LocalLLaMA/wiki/models](https://www.reddit.com/r/LocalLLaMA/wiki/models) | 1 | 0 | 2023-04-18T04:11:39 | Civil_Collection7267 | false | null | 0 | jgpe2ij | false | /r/LocalLLaMA/comments/12q9a3v/anyone_else_getting_this_markdown_code_at_the_end/jgpe2ij/ | false | 1 |
t1_jgpd8xo | It's a llama in a red pajama! I love it! | 4 | 0 | 2023-04-18T04:04:13 | GoryRamsy | false | null | 0 | jgpd8xo | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpd8xo/ | false | 4 |
t1_jgpcfyx | Heya, FYI there are lots of other vector DB options too - if you want to self-host or use a local deployment you can checkout Weaviate, which is open-source.
(Disclaimer: I work there!) | 1 | 0 | 2023-04-18T03:56:57 | notimeforarcs | false | null | 0 | jgpcfyx | false | /r/LocalLLaMA/comments/12nh2bz/new_to_llama_trying_to_create_a_personal_project/jgpcfyx/ | false | 1 |
t1_jgpbr7o | Not at all. The [dataset is possibly the biggest constraint for model quality](https://towardsdatascience.com/a-new-ai-trend-chinchilla-70b-greatly-outperforms-gpt-3-175b-and-gopher-280b-408b9b4510).
In fact, there are reasons to be concerned that [we'll run out of data](https://www.technologyreview.com/2022/11/24/106... | 11 | 0 | 2023-04-18T03:50:51 | friedrichvonschiller | false | null | 0 | jgpbr7o | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpbr7o/ | false | 11 |
t1_jgpbpug | [deleted] | 1 | 0 | 2023-04-18T03:50:31 | [deleted] | true | null | 0 | jgpbpug | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/jgpbpug/ | false | 1 |
t1_jgpblzk | Anyone know if there are install instructions, tutorial, documentation on how to use it? | 1 | 0 | 2023-04-18T03:49:34 | deadzenspider | false | null | 0 | jgpblzk | false | /r/LocalLLaMA/comments/12p9nmq/new_autovicuna_projects_seems_to_be_chugging/jgpblzk/ | false | 1 |
t1_jgp9r1z | What's more did you need to know? Two CPUs totalling 24cors with 48 threads. Both with a base speed of 2.2GHz. 192GB of RAM for each CPU coming to a total of 384GB, and two Grids K2 with 8GB of DDR5 each.
I use a 8bit version of the 65B model, which I've also added to and retrained.
Depending on what I type or how lo... | 2 | 0 | 2023-04-18T03:33:28 | redfoxkiller | false | null | 0 | jgp9r1z | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgp9r1z/ | false | 2 |
t1_jgp9o6u | 1) get dataset
2) get oobagooba web ui
3) train alpaca (or vicuna) on #1 dataset (requires beefy gpu)
4) convert to ggml 4 bit (you can just use oobagooba)
5) load on llama.cpp
6) profit. sorry for bad formatting, I'm on a reddit client that doesn't support multi-line responses (lol) | 2 | 0 | 2023-04-18T03:32:46 | UncleEnk | false | null | 0 | jgp9o6u | false | /r/LocalLLaMA/comments/12q6288/is_it_possible_to_use_llamacpp_or_create_alpaca/jgp9o6u/ | false | 2 |
t1_jgp73f3 | Wait... what?
I can't be the only one who wants to know more about this setup. Nvidia grids? Old xeons?
You have an old grid VCA with sixteen cards in it?
How is this running 65b? Can you explain your setup better? Are you getting it running at speed? What kind of token/sec? That thing has to be sucking down mountai... | 2 | 0 | 2023-04-18T03:11:38 | teachersecret | false | 2023-04-18T03:21:12 | 0 | jgp73f3 | false | /r/LocalLLaMA/comments/12on7rj/digitousalpacino30b_a_triple_model_merge_of/jgp73f3/ | false | 2 |
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