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_jhqrkn1
Nice
1
0
2023-04-26T03:39:31
Faintly_glowing_fish
false
null
0
jhqrkn1
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqrkn1/
false
1
t1_jhqqdkt
​ https://preview.redd.it/rk1jzak2w6wa1.png?width=3190&format=png&auto=webp&v=enabled&s=9ff594c5790ed6c597a1e890d0db4cf67e913d90
2
0
2023-04-26T03:28:57
ericytt
false
null
0
jhqqdkt
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqqdkt/
false
2
t1_jhqqb7d
Use https://huggingface.co/sentence-transformers/all-mpnet-base-v2 It's as easy as setting embeddings = HuggingFaceEmbeddings() in langchain. It's pretty fast on CPU and pretty much instant on GPU. The model isn't very memory intensive either.
5
0
2023-04-26T03:28:22
aviatoraway1
false
null
0
jhqqb7d
false
/r/LocalLLaMA/comments/12y3stx/embeddings/jhqqb7d/
false
5
t1_jhqq4pj
Curious what’s the percent correct for the 3 humans?
1
0
2023-04-26T03:26:46
wind_dude
false
null
0
jhqq4pj
false
/r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqq4pj/
false
1
t1_jhqq4kp
[deleted]
1
0
2023-04-26T03:26:44
[deleted]
true
2023-05-15T08:06:12
0
jhqq4kp
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqq4kp/
false
1
t1_jhqq21a
Any extra settings are you using?
1
0
2023-04-26T03:26:08
tamal4444
false
null
0
jhqq21a
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqq21a/
false
1
t1_jhqpzow
The temperature doesn't affect the result too much, i still got the similiar result. But after i did the whole thing from scratch, it seems good now. https://preview.redd.it/5gytw0cgv6wa1.png?width=3254&format=png&auto=webp&v=enabled&s=1423caf3915a81639e9ce5b10289563cab701cfd
2
0
2023-04-26T03:25:33
ericytt
false
null
0
jhqpzow
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqpzow/
false
2
t1_jhqpyhi
I just followed the instructions on the YouTube video and it worked: [https://www.youtube.com/watch?v=lb\_lC4XFedU&feature=youtu.be](https://www.youtube.com/watch?v=lb_lC4XFedU&feature=youtu.be)
1
0
2023-04-26T03:25:15
SeattleDude69
false
null
0
jhqpyhi
false
/r/LocalLLaMA/comments/12m9bv1/gpt4xalpaca_30b_4bit_by_metaix_based_on_lora_by/jhqpyhi/
false
1
t1_jhqptvk
[deleted]
1
0
2023-04-26T03:24:09
[deleted]
true
2023-05-15T08:06:17
0
jhqptvk
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqptvk/
false
1
t1_jhqppib
But that does solve the random text issue. Only limited the length.
2
0
2023-04-26T03:23:05
ericytt
false
null
0
jhqppib
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqppib/
false
2
t1_jhqplkb
Interesting found... I did two experiences 1. I used the llama model(both [7b](https://huggingface.co/decapoda-research/llama-7b-hf) and [13b](https://huggingface.co/decapoda-research/llama-13b-hf)) that are already transfomed on huggingface, and used them to apply the delta from vicuna and got the screenshot in the p...
1
0
2023-04-26T03:22:08
ericytt
false
2023-04-26T03:30:08
0
jhqplkb
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqplkb/
false
1
t1_jhqp9xj
Using all cores on an i7-13700K, I got 566 ms/token. llama.cpp was holding on to about 43GB of RAM altogether. [Console output with details.](https://i.imgur.com/MU0eLpm.png) [I also got 366 ms/token once, so that's a lot of variance.](https://i.imgur.com/lu56odv.png)
1
0
2023-04-26T03:19:17
itsnotlupus
false
2023-04-26T03:24:59
0
jhqp9xj
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhqp9xj/
false
1
t1_jhqof5g
I get less than that. Which fork are you using of auto1111?
1
0
2023-04-26T03:11:48
tamal4444
false
null
0
jhqof5g
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqof5g/
false
1
t1_jhqoewg
Updated with current Models. If/When Vicuna 30B is available, perhaps it will rival Alpaca 65B. Data Available Here: [llm-jeopardy github](https://github.com/aigoopy/llm-jeopardy)
35
0
2023-04-26T03:11:44
aigoopy
false
null
0
jhqoewg
false
/r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqoewg/
false
35
t1_jhqoarg
I had to do a double take on the last one. Shouldn't it still take 10 minutes?
3
0
2023-04-26T03:10:43
pseudonerv
false
null
0
jhqoarg
false
/r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhqoarg/
false
3
t1_jhqo4bj
[deleted]
1
0
2023-04-26T03:09:09
[deleted]
true
2023-05-15T08:06:22
0
jhqo4bj
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqo4bj/
false
1
t1_jhqnxmm
I'd still give 30B 4bit a try
1
0
2023-04-26T03:07:34
GrandDemand
false
null
0
jhqnxmm
false
/r/LocalLLaMA/comments/12z0rk8/any_good_models_to_test_out_20gb_vram/jhqnxmm/
false
1
t1_jhqmtkx
Sure, so what I usually do is I just have blocks of text separated by <|endoftext|> tokens (for GPT-Neo, not sure if those tokens work that way for LLaMA) And then I have a trigger word, something that is unlikely to otherwise exist anywhere in the model. Like, for my model that I trained on the Daoist classics I used...
1
0
2023-04-26T02:57:55
GreenTeaBD
false
null
0
jhqmtkx
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhqmtkx/
false
1
t1_jhqlfz9
Not a fix but to show you that it can be more reasonable: Reduce the number of tokens to 100 and the temperature to 0.2. The 13B behaves MUCH better in my experience but I think most of us have been experiencing what you are experiencing. Hoping someone proves me wrong...
4
0
2023-04-26T02:46:25
nbuster
false
null
0
jhqlfz9
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqlfz9/
false
4
t1_jhqlbph
[deleted]
1
0
2023-04-26T02:45:27
[deleted]
true
null
0
jhqlbph
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqlbph/
false
1
t1_jhqiffi
you could try end at newline
3
0
2023-04-26T02:22:23
Street-Biscotti-4544
false
null
0
jhqiffi
false
/r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqiffi/
false
3
t1_jhqeivb
> Are you talking about alpaca-Lora-65b.ggml.q4_2.bin file? Q4_2 is an experimental quantization method, it's not a good representative for comparison with other files which i guess are q4_0. You should probably be using the alpaca-Lora-65b.ggml.q4_0.bin until q4_2 is no longer experimental. It's the opposite of that....
1
0
2023-04-26T01:52:53
fallingdowndizzyvr
false
2023-04-26T02:03:07
0
jhqeivb
false
/r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhqeivb/
false
1
t1_jhqe8ar
[deleted]
2
0
2023-04-26T01:50:43
[deleted]
true
2023-05-15T08:06:28
0
jhqe8ar
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqe8ar/
false
2
t1_jhqe4s1
What differences do you notice between 30b and 65b?
1
0
2023-04-26T01:49:59
randomqhacker
false
null
0
jhqe4s1
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhqe4s1/
false
1
t1_jhqdwv3
[deleted]
3
0
2023-04-26T01:48:19
[deleted]
true
2023-05-15T08:06:33
0
jhqdwv3
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqdwv3/
false
3
t1_jhqdpnw
[deleted]
2
0
2023-04-26T01:46:47
[deleted]
true
2023-05-15T08:06:38
0
jhqdpnw
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqdpnw/
false
2
t1_jhqdfku
Which parameters exactly? Can you check nvidia-smi after the model is loaded?
1
0
2023-04-26T01:44:39
Fun_Tangerine_1086
false
null
0
jhqdfku
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhqdfku/
false
1
t1_jhqde6e
[deleted]
1
0
2023-04-26T01:44:23
[deleted]
true
2023-05-15T08:06:43
0
jhqde6e
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqde6e/
false
1
t1_jhqd3cx
[deleted]
1
0
2023-04-26T01:42:06
[deleted]
true
2023-05-15T08:06:49
0
jhqd3cx
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqd3cx/
false
1
t1_jhqcx78
[deleted]
2
0
2023-04-26T01:40:48
[deleted]
true
2023-04-26T01:46:42
0
jhqcx78
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhqcx78/
false
2
t1_jhqcwpn
That is just recently working. It was not public for the past ~15h after the paper came out.
1
0
2023-04-26T01:40:42
Devonance
false
null
0
jhqcwpn
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhqcwpn/
false
1
t1_jhqcvvq
Can confirm that I'm also able to run the 13B 4bit gpt4x-alpaca on a 10GB 3080
1
0
2023-04-26T01:40:31
MonkeyMaster64
false
null
0
jhqcvvq
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqcvvq/
false
1
t1_jhqb3cz
Eachadea is great! I use their quantized models and they kick butt
4
0
2023-04-26T01:26:44
AemonAlgizVideos
false
null
0
jhqb3cz
false
/r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhqb3cz/
false
4
t1_jhq86bx
I'd suggest running a 4bit model. They appear to be the best for consumer grade hardware.
1
0
2023-04-26T01:04:18
_Erilaz
false
null
0
jhq86bx
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhq86bx/
false
1
t1_jhq6bxd
Yes this is the exact error I'm getting
1
0
2023-04-26T00:50:09
ShadowbanRevival
false
null
0
jhq6bxd
false
/r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhq6bxd/
false
1
t1_jhq5vti
You have to admit that Fatty is spot-on, right? My 65B says: "A chair is typically used for sitting while a bathtub is usually filled with water and used for bathing or showering." 13B: "A chair is a piece of furniture designed to provide seating for one or more people, while a bathtub is a receptacle made of ceramic...
3
0
2023-04-26T00:46:45
SeymourBits
false
null
0
jhq5vti
false
/r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhq5vti/
false
3
t1_jhq5slx
op you might consider using azure’s openai service. they are hipaa compliant and willing to sign a baa. if you have patient permission and adhere to hipaa from source to cloud then this is the simplest approach.
3
0
2023-04-26T00:46:02
rowleboat
false
null
0
jhq5slx
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhq5slx/
false
3
t1_jhq5f5n
I'm using the model "alpaca-lora-65B.GGML.q4\_3.bin". Works great for me. Below are few tests I usually run on LLM's. Not all models can ace these. \> how is a chair different from a bathtub A chair is a piece of furniture used for sitting while a bathtub is a container that holds water for bathing. The two objects ...
5
0
2023-04-26T00:43:06
MustBeSomethingThere
false
null
0
jhq5f5n
false
/r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhq5f5n/
false
5
t1_jhq5eve
I looked into it, and apparently they fused off the AVX512 support on later batches of Alder Lake CPU's. And the only way to find out if my CPU is from an early batch is to take off the cooler and scrape off the thermal paste to look at the heat spreader. Then after that, if it's old enough, it's still a whole lot of m...
1
0
2023-04-26T00:43:02
ReturningTarzan
false
null
0
jhq5eve
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhq5eve/
false
1
t1_jhq4g3q
Oh interesting.. Ooba is under active development, so something might have broke?.. I am seeing this issue on their GitHub: https://github.com/oobabooga/text-generation-webui/issues/1534 I will have to look into it a bit further~
1
0
2023-04-26T00:35:36
disarmyouwitha
false
2023-04-26T00:48:37
0
jhq4g3q
false
/r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhq4g3q/
false
1
t1_jhq4d8d
[removed]
1
0
2023-04-26T00:34:59
[deleted]
true
null
0
jhq4d8d
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhq4d8d/
false
1
t1_jhq2e5b
I am installing oobabooga and it is automatically downloading it. I am not sure how to proceed
1
0
2023-04-26T00:20:03
ShadowbanRevival
false
null
0
jhq2e5b
false
/r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhq2e5b/
false
1
t1_jhq2dcy
No worries, too many models to keep straight! Thanks for the reply.
3
0
2023-04-26T00:19:54
spanielrassler
false
null
0
jhq2dcy
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhq2dcy/
false
3
t1_jhq0q0y
[deleted]
1
0
2023-04-26T00:07:33
[deleted]
true
null
0
jhq0q0y
false
/r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhq0q0y/
false
1
t1_jhq0nz9
[deleted]
1
0
2023-04-26T00:07:07
[deleted]
true
null
0
jhq0nz9
false
/r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhq0nz9/
false
1
t1_jhpztab
Ah I'm so sorry lol I mixed up WizardLM and StableLM from StabilityAI - https://huggingface.co/stabilityai/stablelm-tuned-alpha-7b Both are new, and I'm excited to try both. However, I'm much more excited to try WizardLM and try it on coding tasks and such, so I can't wait for someone to make a quantized GGML model of...
1
0
2023-04-26T00:00:39
YearZero
false
null
0
jhpztab
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpztab/
false
1
t1_jhpzini
Patient permission yes, but right now just trying to determine if it's feasible to do this or what is the best way to move forward to propose a solution moving forward.
6
0
2023-04-25T23:58:23
cbyter99
false
null
0
jhpzini
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhpzini/
false
6
t1_jhpz475
I would expect read-speed not to be the dominating factor compared to latency. Probably depends on how exactly the swapping logic works. But at the very least if it's done by some content-unaware ram-swapping mechanism you could have constant "ram fails" all the time, and every time stopping everything for the whole re...
1
0
2023-04-25T23:55:20
involviert
false
null
0
jhpz475
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhpz475/
false
1
t1_jhpy52h
can confirm about censorship. also endlessly spamming therapy. weird bias to add to a model tbh
2
0
2023-04-25T23:48:00
badnewshabit
false
null
0
jhpy52h
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhpy52h/
false
2
t1_jhpxakh
True.. I underestimate how many people do speech to text on phones too. I think the other bots people made were for discord. Pretty much same premise.
2
0
2023-04-25T23:41:41
a_beautiful_rhind
false
null
0
jhpxakh
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpxakh/
false
2
t1_jhpx0d1
Why rent a GPU and then use llama.cpp, isn’t that for CPU? Regardless, Can you post more context? Like it says subprocess exited with error but does it display the actual error? =x
5
0
2023-04-25T23:39:32
disarmyouwitha
false
null
0
jhpx0d1
false
/r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhpx0d1/
false
5
t1_jhpwlvs
How did you figure out that it's the same model? The names are completely different, but maybe I'm missing something. I'll give it a shot at any rate :) Edit: Didn't work in llama.cpp either :(
2
0
2023-04-25T23:36:31
spanielrassler
false
2023-04-25T23:41:02
0
jhpwlvs
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpwlvs/
false
2
t1_jhpwhyx
What about CUDA would be a problem on Windows? The drivers and such seem to be available just fine, so I wondered.
1
0
2023-04-25T23:35:43
involviert
false
null
0
jhpwhyx
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhpwhyx/
false
1
t1_jhpuz8n
Yeh, Its more of a warmup session to consider if you need further therapy and then we already have a bit of a summary of what is happening before hand. A.I can assist humanity... Before it decides to take us over anyway :)
2
0
2023-04-25T23:24:10
cbyter99
false
null
0
jhpuz8n
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhpuz8n/
false
2
t1_jhputbd
Thanks for the tips and things to consider.
1
0
2023-04-25T23:22:56
cbyter99
false
null
0
jhputbd
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhputbd/
false
1
t1_jhpun3z
I'm not that tech savvy but someone appears to have done the work already: https://huggingface.co/cakewalk/ggml-q4_0-stablelm-tuned-alpha-7b/tree/main But it fails to load into Koboldcpp for me unfortunately. Maybe you will have better luck!
1
0
2023-04-25T23:21:40
YearZero
false
null
0
jhpun3z
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpun3z/
false
1
t1_jhpu0vl
>Where do I get started? Follow this [simplified install guide](https://www.reddit.com/r/LocalLLaMA/wiki/guide), choosing text generation web UI or llama.cpp depending on your system. >Is there a primer or forum where can access and discuss new developments and updates? That's what r/LocalLLaMA is supposed to be. W...
2
0
2023-04-25T23:16:57
Civil_Collection7267
false
null
0
jhpu0vl
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhpu0vl/
false
2
t1_jhptwt7
No I have 1080 ti. I did some testing today it seems “non” 4 bit models perform better across multiple GPUs. I am upgrading them all to be GeForce RTX 4090 24GB
1
0
2023-04-25T23:16:05
Gullible_Bar_284
false
null
0
jhptwt7
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhptwt7/
false
1
t1_jhptmv3
That can work on the desktop. The reason for Telegram is because when I’m on my phone and multitask using something like SillyTavern, I won’t get a notification for when it happens and I may not get the message at all since if it loses its place in memory my text generator (koboldcpp in this case) will fail to send it ...
3
0
2023-04-25T23:14:00
Susp-icious_-31User
false
null
0
jhptmv3
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhptmv3/
false
3
t1_jhpswgt
I hope you have full permission to do this, and are proceeding as part of a monitored, IRB-controlled study or project. Unfortunately this is going to be a race to the bottom. The people with the fewest scruples about pumping these private conversations into such models will be the ones to do it first.
11
0
2023-04-25T23:08:19
ID4gotten
false
null
0
jhpswgt
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhpswgt/
false
11
t1_jhpsovh
That's not enough. Any names or potentially-identifying info mentioned in the transcripts is subject to HIPAA. Have these patients authorized use of their personal data to train models or potentially be shared with other companies like OpenAI? A patient could sue your pants off if any of their most personal details wer...
9
0
2023-04-25T23:06:43
ID4gotten
false
null
0
jhpsovh
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhpsovh/
false
9
t1_jhpsbix
I just tried their online demo unfortunately. Did you convert / quantize? If so, could you share? :D I'm really excited to try!! Honestly I don't quite understand how to do it on my mac without a GPU.
1
0
2023-04-25T23:03:55
spanielrassler
false
2023-04-25T23:11:43
0
jhpsbix
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpsbix/
false
1
t1_jhpreun
I haven't been able to get the quantized version to load in Kobold, did you use the llama.cpp version or the GPU version?
1
0
2023-04-25T22:57:04
YearZero
false
null
0
jhpreun
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpreun/
false
1
t1_jhpr9ge
I built a LangChain adapter to use it for embeddings with Chroma. I use it in BrainChulo. OP, we should join forces, our goals are extremely similar. source: https://github.com/CryptoRUSHGav/BrainChulo/blob/main/embeddings/chroma_mini_llm.py
2
0
2023-04-25T22:55:55
nbuster
false
2023-04-25T22:59:33
0
jhpr9ge
false
/r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhpr9ge/
false
2
t1_jhpr3l9
Is alpaca electron suitable? I tried the q4\_0 and q4\_2 version and both doesn't work, but 13B ggml works fine.
1
0
2023-04-25T22:54:41
Exciting-Possible773
false
null
0
jhpr3l9
false
/r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jhpr3l9/
false
1
t1_jhpqtdl
neat little project on a technical level. I just think its kinda sad when the depressed patient realizes nobody gives a shit to the point where they have to talk to an LLM. Kind of like those stories in Japan where instead of actually providing human companionship for the lonely elderly people they'd rather build robot...
1
0
2023-04-25T22:52:33
cyborgsnowflake
false
null
0
jhpqtdl
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhpqtdl/
false
1
t1_jhpqn4y
Cool setup.
1
0
2023-04-25T22:51:14
AlphaPrime90
false
null
0
jhpqn4y
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpqn4y/
false
1
t1_jhpqhzl
5950x (16 cores so I use 16 threads instead of 32 since I see no difference) with 64 gigs ram: I chat with 30b often using koboldcpp.exe responses are fast enough I can actually keep the screen up most of the time expeically with the latest release that uses GPU for some of the processing before the CPU. I have an old ...
2
0
2023-04-25T22:50:11
ThePseudoMcCoy
false
2023-04-26T18:43:10
0
jhpqhzl
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpqhzl/
false
2
t1_jhppy5e
If you planning on getting a new PC anyway why not invest in a GPU? [Check this](https://www.reddit.com/r/LocalLLaMA/comments/12ynhoc/-/jhp1ro1)
1
0
2023-04-25T22:46:00
AlphaPrime90
false
2023-04-25T22:49:07
0
jhppy5e
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhppy5e/
false
1
t1_jhppwwf
Wait, what is your "4 bit Rev 2 version"? Are you talking about alpaca-Lora-65b.ggml.q4_2.bin file? Q4_2 is an experimental quantization method, it's not a good representative for comparison with other files which i guess are q4_0. You should probably be using the alpaca-Lora-65b.ggml.q4_0.bin until q4_2 is no longer e...
4
0
2023-04-25T22:45:44
FullOf_Bad_Ideas
false
null
0
jhppwwf
false
/r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhppwwf/
false
4
t1_jhpp337
> AMD Threadrippers. Amd epyc server boards from china. All the thread-ripper you want under $1000
5
0
2023-04-25T22:39:27
a_beautiful_rhind
false
null
0
jhpp337
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpp337/
false
5
t1_jhpoxrc
No need for telegram, just multitask. If you are exclusively chatting then it feels slow.
3
0
2023-04-25T22:38:20
a_beautiful_rhind
false
null
0
jhpoxrc
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpoxrc/
false
3
t1_jhpogas
Right now I only got one GPU active. Next week I get my server so we see how it goes. You can also offload with CPU.. for text generation UI you can use the pre-layer parameter and see how slow it is. I want to get the 65b replying under 30s.. hopefully it does :) Since you already have cards, just try it out, it sh...
2
0
2023-04-25T22:34:38
a_beautiful_rhind
false
null
0
jhpogas
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhpogas/
false
2
t1_jhpnwie
Ryzen 7 3800X w/128gb ram \~ 1-2 tokens/sec @ 100 tokens here.
6
0
2023-04-25T22:30:26
AsheramL
false
null
0
jhpnwie
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpnwie/
false
6
t1_jhpmjp9
I'd contribute to such a spreadsheet if it existed. I have - 7950X3D - 64Gb of DDR5-6000 - RTX4090 - Intel optane 605P (if anyone is curious whether optane makes a difference when swapping) and a SN850X (High-end nvme m.2 gen4) for storage - can run win11 or wsl
3
0
2023-04-25T22:20:12
fimbulvntr
false
null
0
jhpmjp9
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpmjp9/
false
3
t1_jhplnw6
Well, right this second there aren't a lot of choices for 2x48 VRAM. You've got to step up to the "professional" level cards to get that. Probably even if we \*got\* there the most cost-effective route would be 4x24 instead. To me the alternatives are to either move to more a crypto-mining style rig and get a bunch of...
2
0
2023-04-25T22:13:35
the_quark
false
null
0
jhplnw6
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhplnw6/
false
2
t1_jhpl89d
This is great news of course and yet another step in the right direction but why emphasize how much better it is than Vicuna 7B when Vicuna 7B isn't that great. And why do a 7B version, why not at least start with 13B? Am I the only person wondering this or am I missing something? Edit: just played with it and it *is...
1
0
2023-04-25T22:10:18
spanielrassler
false
2023-04-25T22:30:28
0
jhpl89d
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpl89d/
false
1
t1_jhpl5qp
That's because alpaca trained models are using the crappy short response alpaca dataset. It was a good dataset for testing a neat idea, but it's a terrible dataset for actual use. Vicuña was trained on a vastly better dataset. A 65b vicuña style trained model would be a force. Try the base llama 65b for now.
3
0
2023-04-25T22:09:47
teachersecret
false
null
0
jhpl5qp
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpl5qp/
false
3
t1_jhpkbxt
The community definitely needs some kind of a single place with a spreadsheet where ppl can put their own performance results and HW specs: - CPU model - RAM - model name and variant (eg llama-alpaca-lora-ggml-65b) - OS and Kernel version - llama.cpp version and settings - tokens per second (based on multiple observa...
6
0
2023-04-25T22:03:37
Shoddy-Tutor9563
false
null
0
jhpkbxt
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhpkbxt/
false
6
t1_jhpjex4
So I’ve looked it up in langchain documentation, it seems it’s a wrapper for this model: https://huggingface.co/hkunlp/instructor-large It seems tailored to embed instructions, so it’s a bit different. I think the all-MiniLM-L6-v2 tries to optimize against some benchmarks like semantic search. I guess it really depen...
1
0
2023-04-25T21:56:53
rustedbits
false
null
0
jhpjex4
false
/r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhpjex4/
false
1
t1_jhpiez9
Good question, I have no idea as I’ve never read about the HF Instruct Embeddings, thanks for sharing! I’ll read about it
1
0
2023-04-25T21:49:52
rustedbits
false
null
0
jhpiez9
false
/r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhpiez9/
false
1
t1_jhphyuu
Thank you for testing that.
2
0
2023-04-25T21:46:39
billblank1234
false
null
0
jhphyuu
false
/r/LocalLLaMA/comments/12y3stx/embeddings/jhphyuu/
false
2
t1_jhph045
I also have both text-gen Vicuna and SD running on a 3060 12GB too. Your chatbot that can generate images sounds fascinating. Is it an open source project?
1
0
2023-04-25T21:39:48
jonesaid
false
null
0
jhph045
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhph045/
false
1
t1_jhpfen4
Tried one prompt from MS paper about AGI, And it is not doing that great: *Here we have a book, laptop, 9 eggs and a bottle. How do I stack them in a stable manner?* `Here are a few ways to stack the items: 1. Book, laptop, 9 eggs, bottle - This is the most stable way to stack them. Place the book on the bottom, foll...
1
0
2023-04-25T21:28:39
shirtshape
false
null
0
jhpfen4
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhpfen4/
false
1
t1_jhpf1gq
I'm new to playing with models. Where do I get started? Is there a primer or forum where can access and discuss new developments and updates?
2
0
2023-04-25T21:26:05
lordM0
false
null
0
jhpf1gq
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhpf1gq/
false
2
t1_jhpesyc
Another hesitancy factor could be - what if a bigger model comes out and requires, say 49 GB of vram? I myself am wondering how likely it is to get interesting models larger than llama-65b. I don't have an answer but I'm personally holding off until I see what the trend is. We already have bloom-176b, for example. It...
1
0
2023-04-25T21:24:25
x54675788
false
null
0
jhpesyc
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhpesyc/
false
1
t1_jhpdrg2
I'm not sure if my question seems stupid, but I use HF Instruct Embeddings ( from langchain integration ) Is [**all-MiniLM-L6-v2**](https://gist.github.com/paolorechia/c9f6aa8316882fc0710d54eb8dfa3f52#file-sentence-transformer-all-minilm-l6-v2) superior for QA ?
1
0
2023-04-25T21:17:18
Qual_
false
null
0
jhpdrg2
false
/r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhpdrg2/
false
1
t1_jhpdcin
Oh nope, I'm on NixOS. It's just that the NixOS build of hipFFT seems to crash on freeing an invalid pointer whenever it's loaded and I haven't figured out why yet 🙃
1
0
2023-04-25T21:14:26
daxvena
false
null
0
jhpdcin
false
/r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhpdcin/
false
1
t1_jhpd2qy
No I'm just excited
1
0
2023-04-25T21:12:34
Puzzleheaded_Acadia1
false
null
0
jhpd2qy
false
/r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhpd2qy/
false
1
t1_jhpbrya
Running the 30B 8 bit from [here](https://huggingface.co/decapoda-research/llama-30b-hf). Which do you suggest?
1
0
2023-04-25T21:03:48
Siigari
false
null
0
jhpbrya
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhpbrya/
false
1
t1_jhpafm8
Each patient has been identified and renamed to a patient number Therapist: Hi patient#1, how are you today ? Patient#1, good thanks. Etc. It's anonymous and just transcripts of the session.
1
0
2023-04-25T20:54:54
cbyter99
false
null
0
jhpafm8
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhpafm8/
false
1
t1_jhp9pkd
What kind of information do you have? Have you removed any identifiable information that may leak during inference?
3
0
2023-04-25T20:50:15
2muchnet42day
false
null
0
jhp9pkd
false
/r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhp9pkd/
false
3
t1_jhp8xtl
Yup I would expect that 48GB should be just enough for running the 4bit models in GGML, with a webapp running.
1
0
2023-04-25T20:45:12
The-Bloke
false
null
0
jhp8xtl
false
/r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jhp8xtl/
false
1
t1_jhp8uih
Yeah that's been my other hesitancy. I'm not 100% confident that the performance will be great. I *think* so? But I haven't yet seen someone say "I'm doing this exact thing and it's fine." It's a shame what they said in that thread about 65B fitting in 32GB I think is not true - 4-bit 65B LLaMA needs 41 GB I believe. ...
1
0
2023-04-25T20:44:37
the_quark
false
null
0
jhp8uih
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhp8uih/
false
1
t1_jhp8bjg
Hmm, now you made me think about it... You're right, looking at the benchmarks, I thought my 3900X will last a few more years for sure. But now I'm playing with llama.cpp and I'd rather have full AVX-512 support, not emulated at /2 the speed. Idk how it affects the speed, though. If someone with a Ryzen 5000 series or ...
2
0
2023-04-25T20:41:07
ericek111
false
null
0
jhp8bjg
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhp8bjg/
false
2
t1_jhp82hv
> I'm leaning towards just pulling the trigger on the RTX-3090, but haven't yet gotten it. It's [tempting](https://news.ycombinator.com/item?id=35106675) but I wonder how the VRAM will be shared. I'd love to know how well the whole thing works and what's needed to achieve that.
1
0
2023-04-25T20:39:31
x54675788
false
null
0
jhp82hv
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhp82hv/
false
1
t1_jhp7u1k
4 GB RAM may be just enough for [vicuna-7B-1.1-GPTQ-4bit-128g-GGML](https://huggingface.co/TheBloke/vicuna-7B-1.1-GPTQ-4bit-128g-GGML). According to [models - LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/wiki/models), LLaMA 7B quantized to 4-bit size requires 3.9 GB RAM.
1
0
2023-04-25T20:38:00
WolframRavenwolf
false
null
0
jhp7u1k
false
/r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jhp7u1k/
false
1
t1_jhp7pcs
We need benchmarkers to start using llamacpp! I'm seriously just guessing here, but I think perhaps the "Extended Instructions" might come into play. For 7950X: 62,223 Million Matrices/Sec For 13900K: 47,707 Million Matrices/Sec
5
0
2023-04-25T20:37:09
ambient_temp_xeno
false
null
0
jhp7pcs
false
/r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhp7pcs/
false
5
t1_jhp7jvf
[deleted]
1
0
2023-04-25T20:36:10
[deleted]
true
null
0
jhp7jvf
false
/r/LocalLLaMA/comments/12hi6tc/complete_guide_for_koboldai_and_oobabooga_4_bit/jhp7jvf/
false
1
t1_jhp76v8
Looks very interesting! The paper includes a bunch of examples that definitely seem promising. Once GPTQ and ggml versions are available, I'll check it out and see if it can replace Vicuna as my go-to model.
2
0
2023-04-25T20:33:47
WolframRavenwolf
false
null
0
jhp76v8
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhp76v8/
false
2