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_jh2n3fn | thank you | 1 | 0 | 2023-04-20T22:32:17 | AlphaPrime90 | false | null | 0 | jh2n3fn | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh2n3fn/ | false | 1 |
t1_jh2mis0 | I'm really enjoying alpacino 13b. Great writer, very verbose, very smart, not having filter issues. | 4 | 0 | 2023-04-20T22:28:04 | teachersecret | false | null | 0 | jh2mis0 | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh2mis0/ | false | 4 |
t1_jh2iwxd | I'm finding it difficult to understand your explanation.
Let's say I wanted to use \[GPT4-X-Alpaca\]([https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g](https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g)) locally in Lang-Chain, and I wanted to create a simple script that a... | 2 | 0 | 2023-04-20T22:00:55 | jochenoyoshi | false | null | 0 | jh2iwxd | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh2iwxd/ | false | 2 |
t1_jh2htef | Not really, is it good? | 1 | 0 | 2023-04-20T21:53:03 | rustedbits | false | null | 0 | jh2htef | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh2htef/ | false | 1 |
t1_jh2hrkf | BTW, I've tried fine tuning a bit (I only have like 8 data points, so it's overfitting):
[https://github.com/paolorechia/vicuna-react-lora](https://github.com/paolorechia/vicuna-react-lora)
​
But it did already improve this prompt behavior:
[https://gist.github.com/paolorechia/eceec8e43bdb0a5d169e12471423560... | 1 | 0 | 2023-04-20T21:52:42 | rustedbits | false | null | 0 | jh2hrkf | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh2hrkf/ | false | 1 |
t1_jh2fwod | Yeah, been there, done that. But < 1 token per second is agony. Still cool to be able to use that at all, though, and with all the ongoing development I'm hopeful that we'll even better and more optimized models. | 3 | 0 | 2023-04-20T21:39:33 | WolframRavenwolf | false | null | 0 | jh2fwod | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh2fwod/ | false | 3 |
t1_jh2e9f0 | ok | 1 | 0 | 2023-04-20T21:28:02 | ptitrainvaloin | false | null | 0 | jh2e9f0 | false | /r/LocalLLaMA/comments/12t1zze/spreadsheet_describing_the_entire_llm_universe/jh2e9f0/ | false | 1 |
t1_jh2e1h2 | Worth noting several papers came out recently and it's looking like upping the code % of training sets greatly increases reasoning and slightly but significantly perplexity
Looks like 4.5% is not enough, 7% is not enough either, sweet-spot appears to be higher, but we don't know where it is yet or how it's determined ... | 3 | 0 | 2023-04-20T21:26:31 | Dany0 | false | null | 0 | jh2e1h2 | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh2e1h2/ | false | 3 |
t1_jh29nrr | I’m not the creator. The creator is in the other Reddit I linked to. | 2 | 0 | 2023-04-20T20:56:50 | Smallpaul | false | null | 0 | jh29nrr | false | /r/LocalLLaMA/comments/12t1zze/spreadsheet_describing_the_entire_llm_universe/jh29nrr/ | false | 2 |
t1_jh28kgj | Stability AI model is StableLM | 3 | 0 | 2023-04-20T20:49:47 | ptitrainvaloin | false | 2023-04-20T21:31:42 | 0 | jh28kgj | false | /r/LocalLLaMA/comments/12t1zze/spreadsheet_describing_the_entire_llm_universe/jh28kgj/ | false | 3 |
t1_jh27ytr | I forgot to mention it seems really highly strung and I use it at 0.1 temp (sometimes 0.2) with top_p of 0.99 which stops it going nuts like you observed. Mostly for writing short stories/scenes. | 2 | 0 | 2023-04-20T20:45:53 | ambient_temp_xeno | false | null | 0 | jh27ytr | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh27ytr/ | false | 2 |
t1_jh26yi5 | By the way have you tried the new AutoGPT support in gpt-llama.cpp? | 1 | 0 | 2023-04-20T20:39:25 | Dany0 | false | null | 0 | jh26yi5 | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh26yi5/ | false | 1 |
t1_jh269ui | I don't mind at all! | 1 | 0 | 2023-04-20T20:34:59 | Dany0 | false | null | 0 | jh269ui | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh269ui/ | false | 1 |
t1_jh25mep | IMO its worse than some of the 13b models which tend to give short but on point responses. gal30b definitely gives longer responses but more often than will start to respond properly then after few lines goes off on wild tangents that have little to nothing to do with the prompt | 4 | 0 | 2023-04-20T20:30:39 | cyborgsnowflake | false | null | 0 | jh25mep | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh25mep/ | false | 4 |
t1_jh21ty3 | I frankly prefer the agent insulting me to the personality of 1000 motivational posters. It's more truthful, more succinct, and mitigates repetition by forcing a more casual style. I also wrote the prompt in such a way the agent can't say "As an AI language model" and won't ask if the user has any questions at the end ... | 2 | 0 | 2023-04-20T20:06:13 | Nearby_Yam286 | false | null | 0 | jh21ty3 | false | /r/LocalLLaMA/comments/12l2vzy/wht_is_the_best_llm_i_can_run_with_my_3090/jh21ty3/ | false | 2 |
t1_jh20p7q | Hilarious. Your model has Tourette now. | 1 | 0 | 2023-04-20T19:58:49 | BoobyStudent | false | null | 0 | jh20p7q | false | /r/LocalLLaMA/comments/12l2vzy/wht_is_the_best_llm_i_can_run_with_my_3090/jh20p7q/ | false | 1 |
t1_jh20kwa | [deleted] | 1 | 0 | 2023-04-20T19:58:00 | [deleted] | true | null | 0 | jh20kwa | false | /r/LocalLLaMA/comments/12s71wm/easy_guide_to_run_models_on_cpugpu_for_noobs_like/jh20kwa/ | false | 1 |
t1_jh1yshj | Yeah, indentation is really hard to make it get it right for some reason.
​
I've just spent like 2 hours trying to fix that, it seems like this prompt helps:
[https://gist.github.com/paolorechia/85012e907ffd3fe931cb561c5252a017](https://gist.github.com/paolorechia/85012e907ffd3fe931cb561c5252a017)
​
... | 1 | 0 | 2023-04-20T19:46:25 | rustedbits | false | null | 0 | jh1yshj | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh1yshj/ | false | 1 |
t1_jh1y43m | Thanks for the detailed info. Very useful. | 2 | 0 | 2023-04-20T19:42:09 | wywywywy | false | null | 0 | jh1y43m | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1y43m/ | false | 2 |
t1_jh1uear | They are stored as unsigned ints, the values are rescaled during inference. Of course, similar to other signed ints, you will have one more value in either positive numbers or negative numbers. | 1 | 0 | 2023-04-20T19:17:15 | bloc97 | false | null | 0 | jh1uear | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1uear/ | false | 1 |
t1_jh1tsi0 | Thanks for sharing! | 1 | 0 | 2023-04-20T19:13:18 | MasterH0rnet | false | null | 0 | jh1tsi0 | false | /r/LocalLLaMA/comments/11xbu7d/how_to_do_llama_30b_4bit_finetuning/jh1tsi0/ | false | 1 |
t1_jh1t3ag | But when inferring, how much inter-GPU communication is needed to generate each token? | 1 | 0 | 2023-04-20T19:08:51 | CubicEarth | false | null | 0 | jh1t3ag | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh1t3ag/ | false | 1 |
t1_jh1t0ye | You can use 13B models. You just have to enter your prompt and come back tomorrow. (I feel your pain.) | 6 | 0 | 2023-04-20T19:08:24 | randomjohn | false | null | 0 | jh1t0ye | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1t0ye/ | false | 6 |
t1_jh1suon | ITS THE ROIDS MAN! | 2 | 0 | 2023-04-20T19:07:15 | randomjohn | false | null | 0 | jh1suon | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1suon/ | false | 2 |
t1_jh1srvm | I'd rather be using the gpt-4-x-alpaca, and I finally found one by 4bit that will not (as of now) be hunted down and destroyed by Google when I run it in Colab ($10 pro version). Vicuna 1.1 is serviceable but annoyingly preachy at times, I haven't had any luck with Uncensored Vicuna. When using the if\_SD AI character ... | 3 | 0 | 2023-04-20T19:06:44 | randomjohn | false | null | 0 | jh1srvm | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1srvm/ | false | 3 |
t1_jh1spn7 | I am using a 65b ggml q4_0 model from [here](https://rentry.co/nur779), the first paragraph.
Which 65b llama.cpp model did you run? I had less issues with llama.cpp than with GPU models, basically every GPU model produces just garbage random word output for me. | 1 | 0 | 2023-04-20T19:06:20 | ThatLastPut | false | null | 0 | jh1spn7 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1spn7/ | false | 1 |
t1_jh1s3g9 | It’s good to remember that this alpha of StableLM is undertrained. They had said they’ll continue training and release a better version of each size in a few weeks. We won’t really know how well it works until then, I would guess. If it’s even almost as good as llama, we at least have an open source base to work off of | 1 | 0 | 2023-04-20T19:02:15 | PacmanIncarnate | false | null | 0 | jh1s3g9 | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh1s3g9/ | false | 1 |
t1_jh1r6be | Yes the merge happened on unquantised, and then the quantisation was the final step.
So the cost calculations are a little complicated. I think I spent around $3.50 on the HF conversion + the GGML quantisations. Then I spent at least $6 making GPTQs.
But I could have done the GGML stuff for $0 with hindsight.
So. I ... | 17 | 0 | 2023-04-20T18:56:05 | The-Bloke | false | 2023-04-21T06:43:04 | 0 | jh1r6be | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1r6be/ | false | 17 |
t1_jh1pc3i | It just means there are 4 possible values that can be expressed with each element. It doesn't necessarily matter whether it's positive or negative.
I don't know if the custom version used for the 2 bit quantization is subject to this, but some versions of GGML had a limitation where they only used n-1 values. So for 4... | 1 | 0 | 2023-04-20T18:43:56 | KerfuffleV2 | false | null | 0 | jh1pc3i | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1pc3i/ | false | 1 |
t1_jh1p9vc | Exactly. Not only did I notice the same, but I also completely gave up on a pure zero shot approach .
We need examples, but context size is limited, therefore we need finetuning. | 2 | 0 | 2023-04-20T18:43:31 | 2muchnet42day | false | null | 0 | jh1p9vc | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh1p9vc/ | false | 2 |
t1_jh1otpc | I use it to power an uncensored ChatGPT clone, a Dungeon Master RPG bot, and my primary Chatting and ERP partner.
I set end at newline to true and it has solved most of the junk output. The uncensored model can perform some pretty decent ERP if instructed properly and given example chats. Some scenarios require me to... | 9 | 0 | 2023-04-20T18:40:21 | Street-Biscotti-4544 | false | null | 0 | jh1otpc | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1otpc/ | false | 9 |
t1_jh1nuop | [removed] | 2 | 0 | 2023-04-20T18:33:39 | [deleted] | true | null | 0 | jh1nuop | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1nuop/ | false | 2 |
t1_jh1nl14 | i have langchain agents which use any llama model loaded via API on oobabooga , but I don't know man.. It's like rolling a dice using llama (even more when not tweaking the prompt), while chatGPT nails the tools instructions almost 100% of the time. | 2 | 0 | 2023-04-20T18:31:49 | Qual_ | false | null | 0 | jh1nl14 | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh1nl14/ | false | 2 |
t1_jh1n1iv | Since I'm on a laptop with just 8 GB VRAM, I can only use 7B models. So that rules out GPT4-X-Alpaca.
Vicuna is easily the best remaining option, and I've been using both the new [vicuna-7B-1.1-GPTQ-4bit-128g](https://huggingface.co/TheBloke/vicuna-7B-1.1-GPTQ-4bit-128g) and the unfiltered [vicuna-AlekseyKorshuk-7B-GP... | 6 | 0 | 2023-04-20T18:28:04 | WolframRavenwolf | false | null | 0 | jh1n1iv | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1n1iv/ | false | 6 |
t1_jh1l3w4 | Indentation seems to be its kryptonite: [https://pastebin.com/gdJ3v59T](https://pastebin.com/gdJ3v59T) | 1 | 0 | 2023-04-20T18:14:58 | Dany0 | false | null | 0 | jh1l3w4 | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh1l3w4/ | false | 1 |
t1_jh1kqa9 | I always use the same settings for all models as a starting point with fairly consistent results, but one difference is I used the latest llama.cpp this time around if that might change anything?
I could always test latest llama on the other 65b models.
I was getting results where it was confusing people like "John ... | 1 | 0 | 2023-04-20T18:12:29 | ThePseudoMcCoy | false | null | 0 | jh1kqa9 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1kqa9/ | false | 1 |
t1_jh1jjzo | Thank you!
I was really waiting for someone to make alpaca 65b.
I was playing with 65b loras in llama cpp but the results were IMO worse than base llama, it's probably related to the way that Lora works on quantized models if you don't provide a f16 base model though.
If you don't mind answering, how much did it cos... | 3 | 0 | 2023-04-20T18:04:45 | ThatLastPut | false | null | 0 | jh1jjzo | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1jjzo/ | false | 3 |
t1_jh1izda | Maybe they weren't running with the correct settings? I run llama 65b 4 bit daily since a week or a bit more and the only time it was incoherent is when it was generating output after the base context size was filled up and I guess it was shifting kv cache. I posted a few logs of the interactions I had with it in my pr... | 3 | 0 | 2023-04-20T18:00:53 | ThatLastPut | false | null | 0 | jh1izda | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh1izda/ | false | 3 |
t1_jh1irwt | Basically better for useless stuff but sucks at interesting stuff. Got it. | -1 | 1 | 2023-04-20T17:59:32 | KaQaRa | true | null | 0 | jh1irwt | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh1irwt/ | false | -1 |
t1_jh1gxgy | Adderall.. it’s one hell of a drug. xD | 2 | 0 | 2023-04-20T17:47:35 | disarmyouwitha | false | null | 0 | jh1gxgy | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1gxgy/ | false | 2 |
t1_jh1g8jb | GPT4-alpaca dataset:
https://github.com/teknium1/GPTeacher
(Source: https://huggingface.co/chavinlo/gpt4-x-alpaca/discussions/1) | 2 | 0 | 2023-04-20T17:43:02 | disarmyouwitha | false | null | 0 | jh1g8jb | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh1g8jb/ | false | 2 |
t1_jh1fz6n | Vicuña Training data:
Vicuna is created by fine-tuning a LLaMA base model using approximately 70K user-shared conversations gathered from ShareGPT.com with public APIs. To ensure data quality, we convert the HTML back to markdown and filter out some inappropriate or low-quality samples. Additionally, we divide lengthy... | 1 | 0 | 2023-04-20T17:41:19 | disarmyouwitha | false | null | 0 | jh1fz6n | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh1fz6n/ | false | 1 |
t1_jh1fml2 | Llama training data set:
The model was trained using the following source of data: CCNet [67%], C4 [15%], GitHub [4.5%], Wikipedia [4.5%], Books [4.5%], ArXiv [2.5%], Stack Exchange[2%].
The Wikipedia and Books domains include data in the following languages: bg, ca, cs, da, de, en, es, fr, hr, hu, it, nl, pl, pt, ... | 3 | 0 | 2023-04-20T17:38:58 | disarmyouwitha | false | null | 0 | jh1fml2 | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh1fml2/ | false | 3 |
t1_jh1dsal | gpt4 alpaca LORA (30b)
EDIT turns out this is another version of gpt4-x-alpaca for cpu at 30b (I think so anyway) | 1 | 0 | 2023-04-20T17:26:51 | ambient_temp_xeno | false | 2023-04-21T11:59:20 | 0 | jh1dsal | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1dsal/ | false | 1 |
t1_jh1c21z | What Vicuna model is running [here](https://chat.lmsys.org/)?
For once I was smart and tried it before going through the trouble of setting everything up locally, and I have to say... What's the point? That thing there is like 90% chatgpt's terrible safety warnings and rejections. Maybe those are the 90% where it's ge... | 3 | 0 | 2023-04-20T17:15:43 | involviert | false | 2023-04-20T17:19:11 | 0 | jh1c21z | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh1c21z/ | false | 3 |
t1_jh1bxj0 | Looks like it can:
main: seed = 1682010641
gptj_model_load: loading model from 'ggml-gpt4all-j-v1.2-jazzy.bin' - please wait ...
gptj_model_load: n_vocab = 50400
gptj_model_load: n_ctx = 2048
gptj_model_load: n_embd = 4096
gptj_model_load: n_head = 16
gptj_model_load: n_layer = 28
g... | 1 | 0 | 2023-04-20T17:14:52 | Oeathus | false | null | 0 | jh1bxj0 | false | /r/LocalLLaMA/comments/12lkc49/twitter_announcing_gpt4allj_the_first_apache2/jh1bxj0/ | false | 1 |
t1_jh14z6h | 2 bits! Is one of the bits a (positive or negative) sign? would 0-0 and 0-1 therefore be the same? Would make it further compressible if so but still pretty nuts. | 2 | 0 | 2023-04-20T16:29:06 | gunbladezero | false | null | 0 | jh14z6h | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh14z6h/ | false | 2 |
t1_jh11osj | i go back and forth with gpt4 x alpaca, and vicuna. | 6 | 0 | 2023-04-20T16:07:29 | Qual_ | false | null | 0 | jh11osj | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh11osj/ | false | 6 |
t1_jh0z57f | Can I ask: what's the maximum context size for vicuña? One of the things StableLM has going for it is the larger 4096 context size, which is useful for the work in doing | 1 | 0 | 2023-04-20T15:50:53 | heisenbork4 | false | null | 0 | jh0z57f | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh0z57f/ | false | 1 |
t1_jh0xbbr | Yes. If you have time learn langchain. I had wasted months creating a langchain like system but in UI with a server backend. It worked to an extent but nothing as extensive as langchain. So now I'm learning langchain 🙃 I think it's setup to be an essential part of the ai ecosystem if it already isn't.
I'm currently l... | 2 | 0 | 2023-04-20T15:39:13 | 1EvilSexyGenius | false | null | 0 | jh0xbbr | false | /r/LocalLLaMA/comments/12shgty/steps_to_doing_better_document_handling_with_a/jh0xbbr/ | false | 2 |
t1_jh0x8xy | [removed] | 1 | 0 | 2023-04-20T15:38:49 | [deleted] | true | null | 0 | jh0x8xy | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jh0x8xy/ | false | 1 |
t1_jh0w65f | Meth, it's always meth.
All joking aside, with all the amazing and energetic contributors around here, I'm wondering if some of them are on meth! Probably the kind doctors prescribe though. | 2 | 1 | 2023-04-20T15:31:50 | ThePseudoMcCoy | false | null | 0 | jh0w65f | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh0w65f/ | false | 2 |
t1_jh0vtha | Any recommendations on budget 24GB VRAM GPU cards to run these models? | 2 | 0 | 2023-04-20T15:29:32 | goproai | false | null | 0 | jh0vtha | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jh0vtha/ | false | 2 |
t1_jh0veml | The basic idea is a research assistant that would summarize incoming articles (e.g. from an RSS feed), compare them to a 'research targets outline', identify the most relevant articles, and then present a list of summaries of the most relevant articles to the user with links to the sources (like a news briefing). I thi... | 3 | 0 | 2023-04-20T15:26:45 | chronicillnessreader | false | null | 0 | jh0veml | false | /r/LocalLLaMA/comments/12shgty/steps_to_doing_better_document_handling_with_a/jh0veml/ | false | 3 |
t1_jh0uy7c | They write the email with chat gpt, you use chat gpt to read it | 2 | 0 | 2023-04-20T15:23:42 | CorrectPreference215 | false | null | 0 | jh0uy7c | false | /r/LocalLLaMA/comments/12rnnuc/what_is_the_best_model_to_use_to_summarize_texts/jh0uy7c/ | false | 2 |
t1_jh0ssxa | Thanks - this is really good advice, especially about waiting to see before buying hardware since the CPU / GPU approaches are all over the place at the moment.
I've been hit with the urge to build something, but maybe what I can do is build around openAI (using a GPT3 and keeping token sizes in line with StableLM or... | 2 | 0 | 2023-04-20T15:09:42 | chronicillnessreader | false | null | 0 | jh0ssxa | false | /r/LocalLLaMA/comments/12shgty/steps_to_doing_better_document_handling_with_a/jh0ssxa/ | false | 2 |
t1_jh0p1xs | Is the uncensored vicuña used for writing erotic stories? What else can it do that can’t be achieved by the normal one? | 9 | 0 | 2023-04-20T14:44:43 | ericytt | false | null | 0 | jh0p1xs | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh0p1xs/ | false | 9 |
t1_jh0mwao | ... i picked other for the results then am trying to kick up shit in the comments to see if theres anything new.
Cause aiddiction | 7 | 0 | 2023-04-20T14:29:34 | probably_not_real_69 | false | null | 0 | jh0mwao | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh0mwao/ | false | 7 |
t1_jh0mq3f | What's you're trying to do is possible now locally. You're correct. OpenAI is the best / quickest way. But also will cost money if using it multiple times per minute.
There are research papers published almost every week about advancements in AI. Everything OpenAI has done, was first researched and documented by Ms r... | 2 | 0 | 2023-04-20T14:28:21 | 1EvilSexyGenius | false | null | 0 | jh0mq3f | false | /r/LocalLLaMA/comments/12shgty/steps_to_doing_better_document_handling_with_a/jh0mq3f/ | false | 2 |
t1_jh0mbxt | Going to need a new mainboard for more than 32gb, but then the CPU is so ancient it's about time anyway. | 3 | 0 | 2023-04-20T14:25:36 | ambient_temp_xeno | false | null | 0 | jh0mbxt | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh0mbxt/ | false | 3 |
t1_jh0lsiy | AFAIK there's no 7b-4bit version of gpt4-x-alpaca. And uncensored vicuna had the usual format issues that vicuna 1.0 had. So I chose vicuna 1.1 which is quickly becoming one of my most used models (right next to alpaca). | 3 | 0 | 2023-04-20T14:21:55 | Kafke | false | null | 0 | jh0lsiy | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh0lsiy/ | false | 3 |
t1_jh0lk09 | I think most want to see the results | 21 | 0 | 2023-04-20T14:20:14 | Bartinos | false | null | 0 | jh0lk09 | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh0lk09/ | false | 21 |
t1_jh0lfvk | I accept pull requests, if anyone wants to help keeping all updated. I'll do my best. | 4 | 0 | 2023-04-20T14:19:25 | _underlines_ | false | null | 0 | jh0lfvk | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh0lfvk/ | false | 4 |
t1_jh0l1e5 | use linux, or WSL | 1 | 0 | 2023-04-20T14:16:31 | planetoryd | false | null | 0 | jh0l1e5 | false | /r/LocalLLaMA/comments/12soma1/i_created_a_simple_project_to_chat_with/jh0l1e5/ | false | 1 |
t1_jh0kd9x | 18 users selecting other and 0 comments... wtf people | 5 | 0 | 2023-04-20T14:11:25 | probably_not_real_69 | false | null | 0 | jh0kd9x | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh0kd9x/ | false | 5 |
t1_jh0k6cb | Yes you can. For some code examples.First this is the code I'm using to load and return the model. This code uses GPTQ-for-LLaMa and I've used it for Vicuna, Alpaca and other LLaMA 4bit models: https://gitlab.tarsis.org/machine-learning/rpstable/-/blob/main/loaders/models/quantizedllamamodel.py
My code to use the abov... | 7 | 0 | 2023-04-20T14:09:56 | synn89 | false | null | 0 | jh0k6cb | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh0k6cb/ | false | 7 |
t1_jh0ii64 | StableLM seems pretty bad. | 10 | 0 | 2023-04-20T13:57:06 | fuelter | false | null | 0 | jh0ii64 | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh0ii64/ | false | 10 |
t1_jh0i3ir | holy fuck | 1 | 0 | 2023-04-20T13:53:57 | Y_D_A_7 | false | null | 0 | jh0i3ir | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jh0i3ir/ | false | 1 |
t1_jh0hz7j | Ram upgrades are so cheap right now compared to other options assuming your hardware is upgradable! | 8 | 0 | 2023-04-20T13:53:01 | ThePseudoMcCoy | false | null | 0 | jh0hz7j | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh0hz7j/ | false | 8 |
t1_jh0h2l6 | Oh man don't say that. Now I need to buy a computer with 64gb ram ;) | 5 | 0 | 2023-04-20T13:45:55 | ambient_temp_xeno | false | null | 0 | jh0h2l6 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh0h2l6/ | false | 5 |
t1_jh0g8ek | Yes... I did... with custom tools with zero explanation on the prompt.
And it works.
It's definitely how we should approach this task as open source models are too dumb at zero shot and also have limited context (though StableLM has 4k).
Think of an agent using complex custom apis to handle tens of different actions... | 3 | 0 | 2023-04-20T13:39:09 | 2muchnet42day | false | null | 0 | jh0g8ek | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh0g8ek/ | false | 3 |
t1_jh0cz24 | I found that it existed in the official docs: https://python.langchain.com/en/latest/modules/agents/tools.html
It was a bit hard to find an example, I can’t recall where I saw it being used, but it’s in documentation as well.
Regarding your second question, not yet! I want to explore next how to scan a codebase (like... | 1 | 0 | 2023-04-20T13:12:03 | rustedbits | false | null | 0 | jh0cz24 | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh0cz24/ | false | 1 |
t1_jh0cyb4 | Webui, in notebook mode (you can enable it in webui or start webui with --notebook argument. | 1 | 0 | 2023-04-20T13:11:52 | KageYume | false | 2023-04-20T13:27:12 | 0 | jh0cyb4 | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh0cyb4/ | false | 1 |
t1_jh0cpjv | Mind sharing the perplexity method and results? | 1 | 0 | 2023-04-20T13:09:47 | wakmocom | false | null | 0 | jh0cpjv | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh0cpjv/ | false | 1 |
t1_jh0c739 | It's really cool you got it working.
That's about 5 tokens/s with 13B-8b model. I think it's very good performance given its AMD card. | 3 | 0 | 2023-04-20T13:05:22 | AlphaPrime90 | false | null | 0 | jh0c739 | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jh0c739/ | false | 3 |
t1_jh0b6qp | Wow this one's really good, the other 65B models I've seen were basically incoherent forgetting what was what.
This one can write for days. | 12 | 0 | 2023-04-20T12:56:29 | ThePseudoMcCoy | false | null | 0 | jh0b6qp | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh0b6qp/ | false | 12 |
t1_jh0aweu | in oobabooga I already have a summary of the context within the character tab and then the context box, is that the soft prompt? I was wondering what the soft prompt button does as ***it makes you upload something but I don't know how to make what ever that file is.*** | 2 | 0 | 2023-04-20T12:54:01 | FriendDimension | false | 2023-04-20T14:23:36 | 0 | jh0aweu | false | /r/LocalLLaMA/comments/12svqr1/what_is_soft_prompt_and_how_do_i_use_it/jh0aweu/ | false | 2 |
t1_jh09may | Oh sorry! Kind of just rushed it out because I was happy I just got it working in the first place 😅
I'm using the 13B Vicuna v1.1 model quantized to 8bits using the `--load-8bit` flag.
I'm not sure if there's a better way of measuring tokens/s, but I let it run and timed it, and it generated 365 words in 100 seconds... | 3 | 0 | 2023-04-20T12:42:50 | daxvena | false | null | 0 | jh09may | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jh09may/ | false | 3 |
t1_jh09g7u | A soft prompt is a technique used to subtly guide a language model's response by including additional context in the input text. With the oobabooga method, you can create a soft prompt in the following steps:
1. Identify the desired context.
2. Create a "context paragraph" describing it naturally.
3. Add the context p... | 3 | 0 | 2023-04-20T12:41:19 | Blacky372 | false | 2023-06-19T22:33:03 | 0 | jh09g7u | false | /r/LocalLLaMA/comments/12svqr1/what_is_soft_prompt_and_how_do_i_use_it/jh09g7u/ | false | 3 |
t1_jh08tqw | Oh thanks!! I have it working - just not alongside my RX 590 yet. I'll try to see if I can use it as a reference!
Preferably I'd want to keep everything in Nix. It's a lot better for reproducible builds, and is way smarter about rebuilding only what's changed (unlike Docker's layered approach)
It looks like it pulls ... | 1 | 0 | 2023-04-20T12:35:37 | daxvena | false | null | 0 | jh08tqw | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jh08tqw/ | false | 1 |
t1_jh07g4u | Just "Fetch cat jokes from the internet" and the chuck norris prompt, tried it 2x, worked on the 3rd time
Unfortunately that's all I could do during lunch break. Once I'm back from work I'm sure to play around with it more. How did you find the python repl langchain tool? I can't see it in the langchain docs. Did you ... | 1 | 0 | 2023-04-20T12:22:37 | Dany0 | false | null | 0 | jh07g4u | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh07g4u/ | false | 1 |
t1_jh077kl | [deleted] | 1 | 0 | 2023-04-20T12:20:31 | [deleted] | true | null | 0 | jh077kl | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh077kl/ | false | 1 |
t1_jh0741f | Awesome! This is super helpful. What exactly do you mean by jail token for Vicuna? As in it says “as an LLM” too much?
My main use case is not creative writing but rather medical questions so from what you wrote it seems like Vicuna may be my best bet? Although I’m also looking into MedAlpaca. Thanks! | 1 | 0 | 2023-04-20T12:19:38 | bacteriarealite | false | null | 0 | jh0741f | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh0741f/ | false | 1 |
t1_jh06nqz | Doing the lord's (AI overlords') work | 14 | 0 | 2023-04-20T12:15:30 | qwerty100110 | false | null | 0 | jh06nqz | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh06nqz/ | false | 14 |
t1_jh05evj | Hi, thanks for trying it out.
No plans from my side to support other model versions yet.
I think we might need to fine tune the model to get a better performance, I also occasionally got parse errors.
Can you share a prompt example that failed? | 1 | 0 | 2023-04-20T12:03:32 | rustedbits | false | null | 0 | jh05evj | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh05evj/ | false | 1 |
t1_jh04sq7 | That's pretty mind boggling given that this was reportedly trained on a 1.5T token dataset... | 3 | 0 | 2023-04-20T11:57:20 | signed7 | false | null | 0 | jh04sq7 | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh04sq7/ | false | 3 |
t1_jh049ud | Thanks! | 1 | 0 | 2023-04-20T11:52:07 | mr_house7 | false | null | 0 | jh049ud | false | /r/LocalLLaMA/comments/12sur6t/does_stablelm_allow_commercial_use/jh049ud/ | false | 1 |
t1_jh03zi9 | Vicuna is so good, I have no idea why anyone bothers with anything else. | 1 | 0 | 2023-04-20T11:49:18 | Significant-Chip-703 | false | null | 0 | jh03zi9 | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh03zi9/ | false | 1 |
t1_jh03cwn | Maybe this helps: [https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/9591](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/9591)
The instructions are for Stable Diffusion, but it works just fine with Oobabooga as well. | 2 | 0 | 2023-04-20T11:42:55 | wsippel | false | null | 0 | jh03cwn | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jh03cwn/ | false | 2 |
t1_jh02h5j | There is a 'model card' with that information on HuggingFace.
It says licensed CC BY-SA-4.0 for the base model and CC BY-NC-SA-4.0 for the fine-tuned checkpoints. So they don't allow commercial use. The base model does. | 2 | 0 | 2023-04-20T11:33:53 | Magnus_Fossa | false | null | 0 | jh02h5j | false | /r/LocalLLaMA/comments/12sur6t/does_stablelm_allow_commercial_use/jh02h5j/ | false | 2 |
t1_jh02c5x | where are you typing this prompt, in terminal or web UI.
I tried koboldcpp but still wont work. | 2 | 0 | 2023-04-20T11:32:29 | AlphaPrime90 | false | 2023-04-20T11:47:49 | 0 | jh02c5x | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh02c5x/ | false | 2 |
t1_jgzwj6b | It works on CPU, but if I enable CUDA I get this error
Error: Cannot copy out of meta tensor; no data!
Any idea? Vicuna-13B on a 4090 btw
Edit: ah, I was out of VRAM. That's strange, I could run LLaMa 13B unquantized on my 4090 before, maybe that was because of CPU-GPU share in ooba?
Anyway, changing to 7B worked... | 1 | 0 | 2023-04-20T10:26:25 | Dany0 | false | 2023-04-20T11:05:06 | 0 | jgzwj6b | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jgzwj6b/ | false | 1 |
t1_jgzwbd3 | Emotion damage. | 1 | 0 | 2023-04-20T10:23:36 | Qual_ | false | null | 0 | jgzwbd3 | false | /r/LocalLLaMA/comments/12sbqjc/seems_like_h2o_is_coming_to_the_party/jgzwbd3/ | false | 1 |
t1_jgzwa44 | tried on their huggingface Space | 1 | 0 | 2023-04-20T10:23:09 | Qual_ | false | null | 0 | jgzwa44 | false | /r/LocalLLaMA/comments/12sbqjc/seems_like_h2o_is_coming_to_the_party/jgzwa44/ | false | 1 |
t1_jgzv8nx | Streaming and stop token works in SillyTavern preview now. | 2 | 0 | 2023-04-20T10:09:12 | Susp-icious_-31User | false | null | 0 | jgzv8nx | false | /r/LocalLLaMA/comments/12o31kn/are_there_any_simple_exe_files_which_can_run_a/jgzv8nx/ | false | 2 |
t1_jgzsyiu | Thank you for the post, really informative 👍
I think I'll wait for finetuned versions personally. Lora has a use case for training models on specific tasks but I think a 13B finetuned is better than a 30B lora.
The best would be to take a 30B finetune and train loras on it if needed | 17 | 0 | 2023-04-20T09:36:57 | hapliniste | false | null | 0 | jgzsyiu | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jgzsyiu/ | false | 17 |
t1_jgzstku | You better use a 4bit 7B version. Low bits are better the bigger the model. | 11 | 0 | 2023-04-20T09:34:58 | hapliniste | false | null | 0 | jgzstku | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jgzstku/ | false | 11 |
t1_jgzs7lz | please do a comparison between StableLM and GPT-2 | 1 | 0 | 2023-04-20T09:25:45 | LazyCheetah42 | false | null | 0 | jgzs7lz | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jgzs7lz/ | false | 1 |
t1_jgzrlan | Is there 2bit 13b model? | 3 | 0 | 2023-04-20T09:16:33 | Puzzleheaded_Acadia1 | false | null | 0 | jgzrlan | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jgzrlan/ | false | 3 |
t1_jgzrcz7 | This space is moving so fast can't wait to see what'll happen. Maybe we'll even find a way to tune them specifically for 2bit performance.Thanks for the examples! | 6 | 0 | 2023-04-20T09:13:03 | kif88 | false | null | 0 | jgzrcz7 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jgzrcz7/ | false | 6 |
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