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 |
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t1_jh6ci0a | Hi mate, apologies but I'm not really gaining an understanding of what you're trying to say.
What new techniques/concepts are you suggesting as alternatives to langchaining a vector store as memory? I know that certainly isn't going to be the optimal strategy in a few years time, but can you point to any specific pape... | 3 | 0 | 2023-04-21T18:29:22 | ZestyData | false | null | 0 | jh6ci0a | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh6ci0a/ | false | 3 |
t1_jh6b3fu | Check the main page for the available switches. "useclblast" will use your GPU if you have one. "smartcontext" can make prompts process faster, and so on. You can also run the program from the command line with the --help switch and it will give you a list of all the other switches. | 1 | 0 | 2023-04-21T18:19:52 | RiotNrrd2001 | false | null | 0 | jh6b3fu | false | /r/LocalLLaMA/comments/12cfnqk/koboldcpp_combining_all_the_various_ggmlcpp_cpu/jh6b3fu/ | false | 1 |
t1_jh6admr | Wait what? How do I use the GPU with KoboldCpp? | 1 | 0 | 2023-04-21T18:15:02 | lolwutdo | false | null | 0 | jh6admr | false | /r/LocalLLaMA/comments/12cfnqk/koboldcpp_combining_all_the_various_ggmlcpp_cpu/jh6admr/ | false | 1 |
t1_jh69gi1 | This is very cool. Anything that helps solve the LTM problem is a good thing.
I'm not super-savvy in any of this, but from what I gather from the description on github, it looks like this is going to be a fully manual process like the memory/WI system in KoboldAI. Is that accurate, or will there be some auto-memory-... | 5 | 0 | 2023-04-21T18:08:44 | candre23 | false | 2023-04-21T19:50:18 | 0 | jh69gi1 | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh69gi1/ | false | 5 |
t1_jh67b2g | Yes they help. See this for a good output example of vector usage in a prompt: https://python.langchain.com/en/latest/modules/memory/types/vectorstore_retriever_memory.html#using-in-a-chain
Basically, as I understand it, you dump the conversation into the vector database. Then when a new question is asked, you query t... | 17 | 0 | 2023-04-21T17:54:05 | synn89 | false | null | 0 | jh67b2g | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh67b2g/ | false | 17 |
t1_jh65u15 | Correct me if I'm wrong , do vector databases help us with memory constraints, like we wouldn't need to worry about context length and the program could query the database anytime we asked a question? | 10 | 0 | 2023-04-21T17:44:14 | PixelForgDev | false | null | 0 | jh65u15 | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh65u15/ | false | 10 |
t1_jh643rt | Great! Yeah, sorry if that came in a bit hot, I hadn’t actually checked out your codebase yet. I’m just trying to spread the word a bit more when I see an opportunity, try to get as many projects speaking the same core “language” as possible. | 7 | 0 | 2023-04-21T17:32:35 | JacKaL_37 | false | null | 0 | jh643rt | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh643rt/ | false | 7 |
t1_jh63ar6 | Thank you for sharing this precious information.
The project uses LangChain and llama-indexer.
It isn't trying to reinvent the wheel as much as it is trying to provide a direction for the community to build on.
I will provide a roadmap to make things clearer. | 6 | 0 | 2023-04-21T17:27:12 | nbuster | false | null | 0 | jh63ar6 | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh63ar6/ | false | 6 |
t1_jh636zz | [deleted] | 1 | 0 | 2023-04-21T17:26:31 | [deleted] | true | null | 0 | jh636zz | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh636zz/ | false | 1 |
t1_jh62toy | it's a starting point, and granted, there are many ways to skin that camel, but I've also made use of llama-indexer and as we manage to tame Vicuna's answers we can use some Vector DB like Chroma to expand on the LTM focus.
The idea here is to give us a starting chance and hopefully build on it as a community. | 3 | 0 | 2023-04-21T17:24:05 | nbuster | false | null | 0 | jh62toy | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh62toy/ | false | 3 |
t1_jh62rz4 | LangChain has different memory types and you can wrap local LLaMA models into a pipeline for it:
model_loader.model.to(device)
# Load the tokenizer for the LLM model
tokenizer = LlamaTokenizer.from_pretrained(config.model)
print(f"Loaded the model and tokenizer in {(time.time()-t0):.2f} seconds.")
... | 32 | 0 | 2023-04-21T17:23:46 | synn89 | false | null | 0 | jh62rz4 | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh62rz4/ | false | 32 |
t1_jh62cpm | I recommend you look into agent-building with the Langchain framework— LLMs + tools + memory is their entire deal.
Langchain docs:
https://python.langchain.com/en/latest/index.html
Github:
https://github.com/hwchase17/langchain
Recent log describing how langchain could (and should) underpin most of these agent proj... | 10 | 0 | 2023-04-21T17:21:01 | JacKaL_37 | false | null | 0 | jh62cpm | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh62cpm/ | false | 10 |
t1_jh62bsi | That’s cool, all you need to use LangChain with Vicuña is a wrapper around the API call and return the response?
I was going to look into integration into LangChain this weekend^^ | 2 | 0 | 2023-04-21T17:20:51 | disarmyouwitha | false | null | 0 | jh62bsi | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh62bsi/ | false | 2 |
t1_jh60q1i | Another weird thing is that if I install and enable `--xformers` then when I boot up the webui it says that "`A matching Triton is not available, some optimizations will not be enabled. Error caught was: No module named 'triton'`" yet it still inferences fine (no speed boost from xformers though). | 1 | 0 | 2023-04-21T17:10:16 | jonesaid | false | null | 0 | jh60q1i | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh60q1i/ | false | 1 |
t1_jh5zz18 | What I don't understand is that `git show` already says I have the CUDA version of GPTQ-for\_LLaMa (`commit 57a26292ed583528d9941e79915824c5af012279 (HEAD -> cuda, origin/cuda, origin/HEAD)`), and I used the latest one-click installer. So am I already using the CUDA version? Also, when I run the model, it does show in ... | 1 | 0 | 2023-04-21T17:05:21 | jonesaid | false | null | 0 | jh5zz18 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5zz18/ | false | 1 |
t1_jh5xmh3 | You're welcome! Glad it's working for you now. | 2 | 0 | 2023-04-21T16:49:55 | The-Bloke | false | null | 0 | jh5xmh3 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5xmh3/ | false | 2 |
t1_jh5vwv8 | This is a much more enjoyable and informative article than the few paragraphs and short list of tools that I expected. I'm glad you decided to share it with the English-speaking world too. | 3 | 0 | 2023-04-21T16:38:44 | 5erif | false | null | 0 | jh5vwv8 | false | /r/LocalLLaMA/comments/12tzlcn/how_to_run_your_own_llm_gpt/jh5vwv8/ | false | 3 |
t1_jh5sdr7 | Same: Thank you very much! Your unfiltered Vicuna and the 1.1 version are my go-to models!
Do you think it's possible to make the new 1.1 version unfiltered, too, by combining it with the fixed data set? Or is 1.1 too different and incompatible with that? | 2 | 0 | 2023-04-21T16:15:33 | WolframRavenwolf | false | null | 0 | jh5sdr7 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5sdr7/ | false | 2 |
t1_jh5s0la | Thanks for the explanation. This is the best model I’ve tried so far | 3 | 0 | 2023-04-21T16:13:07 | Necessary_Ad_9800 | false | null | 0 | jh5s0la | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5s0la/ | false | 3 |
t1_jh5raw6 | Hello good people of the internet, can you please help an idiot, who is trying to run Llama without even basic knowledge in python.
Running the step 22 this error appears. I have redone every step of the way several times now. Running Llama-7b-4bit on a GTX1660 and this error appears. (Cuda has been redownloaded sev... | 1 | 0 | 2023-04-21T16:08:24 | superbfurryhater | false | null | 0 | jh5raw6 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jh5raw6/ | false | 1 |
t1_jh5r7c2 | Thank you for your hard work and making this model accessible for 12GB owners :-) I loaded .pt version and it works just great! | 5 | 0 | 2023-04-21T16:07:45 | TechnicalSwitch4521 | false | null | 0 | jh5r7c2 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5r7c2/ | false | 5 |
t1_jh5pns9 | The credit for the quality of the model is primarily down to the Vicuna team, who used a decent dataset (ShareGPT), but also did some tricks to improve the quality. In particular they were able to increase the context length from 512 to 2048. I haven't really looked into all their fine tuning steps, but it seems they d... | 6 | 0 | 2023-04-21T15:57:34 | The-Bloke | false | null | 0 | jh5pns9 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5pns9/ | false | 6 |
t1_jh5p8n9 | To be honest I tend to just recommend that Windows users use the no-act-order file because it's easier :)
Windows doesn't support Triton, only CUDA. And I've been told that the CUDA code is quite a bit slower than the Triton code.
Then in order to install the CUDA version, you'll need a C/C++ compiler which many Wind... | 6 | 0 | 2023-04-21T15:54:50 | The-Bloke | false | 2023-04-21T16:52:07 | 0 | jh5p8n9 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5p8n9/ | false | 6 |
t1_jh5ocrd | This model is crazy good. How did you achieve this? | 1 | 0 | 2023-04-21T15:49:03 | Necessary_Ad_9800 | false | null | 0 | jh5ocrd | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5ocrd/ | false | 1 |
t1_jh5na0k | I think we will eventually get better and more clever at how to use those models most efficiently. Likely we can have very specialized models that work very well for specific purposes that will be fine on CPU and we will learn to fully leverage their power. | 13 | 0 | 2023-04-21T15:42:00 | Faintly_glowing_fish | false | null | 0 | jh5na0k | false | /r/LocalLLaMA/comments/12u6edu/trends_in_computational_power_requirements_for/jh5na0k/ | false | 13 |
t1_jh5n9ti | Can you elaborate more on the process of updating GPTQ-for-LLaMa on Windows if we used the one-click installer? Do we delete the existing folder in repositories, and then git clone? I assume we need to activate the environment before "python setup\_cuda.py install"? Do we need to link it into repositories if we already... | 3 | 0 | 2023-04-21T15:41:58 | jonesaid | false | null | 0 | jh5n9ti | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5n9ti/ | false | 3 |
t1_jh5lz6r | Which ones are open-instruct-v1 missing? | 1 | 0 | 2023-04-21T15:33:25 | Fun_Tangerine_1086 | false | null | 0 | jh5lz6r | false | /r/LocalLLaMA/comments/12tmz9v/are_instruction_sets_being_combined/jh5lz6r/ | false | 1 |
t1_jh5ishn | I've been lurking in this channel for a bit and really curious about this stuff.. Is there an ELI5 for loading these? (I have a 3090/24gb vram gpu and a 5950x w/ 64gb ram..) | 2 | 0 | 2023-04-21T15:12:12 | diomark | false | null | 0 | jh5ishn | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh5ishn/ | false | 2 |
t1_jh5hi4n | If each word is an average of 3 tokens, 365 words would be 1095 tokens. In 100 seconds would be 10.95 tokens per second. If each word is 2 tokens then it's 7.3 tokens per second. That's like 220 wpm, which is as fast as people speak according to Google. That's pretty useable. Would you say it's as fast as the free vers... | 1 | 0 | 2023-04-21T15:03:26 | AfterAte | false | null | 0 | jh5hi4n | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jh5hi4n/ | false | 1 |
t1_jh5g2oe | Same. I'm still on the original vicuna release, and for whatever reason, I've never had a problem with it self-censoring. Just that occasional runaway glitch where it starts talking to itself, thinking it's me. | 3 | 0 | 2023-04-21T14:53:39 | candre23 | false | null | 0 | jh5g2oe | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh5g2oe/ | false | 3 |
t1_jh5ennv | Kinda weird, it gave me some great Pesto recipes when I asked it | 1 | 0 | 2023-04-21T14:43:56 | Hunting_Banshees | false | null | 0 | jh5ennv | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jh5ennv/ | false | 1 |
t1_jh5dtzn | Yes seriously there's information overload for a lot of people so even the simple tasks are compounding so this really helps with the accessibility! | 6 | 0 | 2023-04-21T14:38:15 | ThePseudoMcCoy | false | null | 0 | jh5dtzn | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5dtzn/ | false | 6 |
t1_jh5d5rf | I'm not an expert on these timings but I believe the following is correct:
The "prompt eval" figure in ms/token is the time it takes to initially evaluate your prompt. So in that example you gave it a 281 token prompt and it evaluated it at 547ms/token which is just under 2 tokens/s.
Then the "run/s" time is the time... | 2 | 0 | 2023-04-21T14:33:36 | The-Bloke | false | null | 0 | jh5d5rf | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh5d5rf/ | false | 2 |
t1_jh5ceae | I kind of tried to write [something similar](https://www.reddit.com/r/LocalLLaMA/comments/12ld62s/the_state_of_llm_ais_as_explained_by_somebody_who/) recently, but not nearly so comprehensive (or accurate). There's a definite lack of educational resources that are deeper than "here's how you install the software and t... | 1 | 0 | 2023-04-21T14:28:13 | candre23 | false | null | 0 | jh5ceae | false | /r/LocalLLaMA/comments/12tzlcn/how_to_run_your_own_llm_gpt/jh5ceae/ | false | 1 |
t1_jh5bsye | Welcome! | 7 | 0 | 2023-04-21T14:24:05 | The-Bloke | false | null | 0 | jh5bsye | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5bsye/ | false | 7 |
t1_jh5a569 | Interesting!
I guess Threadripper wasn't as good as I expected due to NUMA shenanigans, CCD-to-CCD latencies, power draw, temperature, or maybe even due to Infinity Fabric bandwidth saturation. I really would like to see what actually happened there. I thought it should have continued scaling with cores almost linearl... | 1 | 0 | 2023-04-21T14:12:19 | _Erilaz | false | null | 0 | jh5a569 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jh5a569/ | false | 1 |
t1_jh59v70 | Thanks for all the quantizations! I’ve been lazy and just using yours. =] | 9 | 0 | 2023-04-21T14:10:17 | disarmyouwitha | false | null | 0 | jh59v70 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh59v70/ | false | 9 |
t1_jh594zy | Thanks, I guess I could also translate my older article about GPT. | 1 | 0 | 2023-04-21T14:05:05 | Bystroushaak | false | null | 0 | jh594zy | false | /r/LocalLLaMA/comments/12tzlcn/how_to_run_your_own_llm_gpt/jh594zy/ | false | 1 |
t1_jh586j9 | Yeah, we are comparing two different properties here.
Here's what I got, scroll down for new implementation of avx-512.
https://pastebin.com/MHtsYXrP
I am not sure what the timings stand for exactly, I probably interpreted them the wrong way. Prompt eval time is the time during which the prompt is processing and eval... | 1 | 0 | 2023-04-21T13:58:04 | ThatLastPut | false | null | 0 | jh586j9 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh586j9/ | false | 1 |
t1_jh5783j | Are you using my repo at [https://huggingface.co/TheBloke/vicuna-13B-1.1-GPTQ-4bit-128g](https://huggingface.co/TheBloke/vicuna-13B-1.1-GPTQ-4bit-128g) ?
If so you didn't read the README!
​
https://preview.redd.it/ndbf0julaava1.png?width=653&format=png&auto=webp&v=enabled&s=4b709ea7345d52b9415af32f64706b7a8... | 27 | 0 | 2023-04-21T13:51:05 | The-Bloke | false | null | 0 | jh5783j | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5783j/ | false | 27 |
t1_jh56sgu | This is the best layman-accessible introduction to LLMs that I've ever seen. Mods, pin this to the top of the sub. Anybody who is just starting out would benefit from reading it. | 3 | 0 | 2023-04-21T13:47:53 | candre23 | false | null | 0 | jh56sgu | false | /r/LocalLLaMA/comments/12tzlcn/how_to_run_your_own_llm_gpt/jh56sgu/ | false | 3 |
t1_jh569jc | Try this version:
ggml-vicuna-13b-1.1-q4\_0.bin from [https://huggingface.co/eachadea/ggml-vicuna-13b-1.1](https://huggingface.co/eachadea/ggml-vicuna-13b-1.1)
It works on Llama cpp without problems for me. | 6 | 0 | 2023-04-21T13:43:57 | tekket | false | null | 0 | jh569jc | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh569jc/ | false | 6 |
t1_jh5537n | Try to run in 8bit. | 1 | 0 | 2023-04-21T13:34:59 | Low_Government_681 | false | null | 0 | jh5537n | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh5537n/ | false | 1 |
t1_jh534qm | It's more like they've gone badly wrong somewhere making it so far. Here's hoping redpajama are better at whatever arcane sorcerery it takes to make an LLM. | 5 | 0 | 2023-04-21T13:19:37 | ambient_temp_xeno | false | null | 0 | jh534qm | false | /r/LocalLLaMA/comments/12tmz9v/are_instruction_sets_being_combined/jh534qm/ | false | 5 |
t1_jh4ybeo | I thought I’ve seen results of StableLM being not very good? | 3 | 0 | 2023-04-21T12:39:39 | brandonZappy | false | null | 0 | jh4ybeo | false | /r/LocalLLaMA/comments/12tmz9v/are_instruction_sets_being_combined/jh4ybeo/ | false | 3 |
t1_jh4qgw6 | Yeah it's really good, much better than anything available right now. It can use the AutoGPT tools. Coherency is quite low with 7B though, it needs a lot of "loops" to get anywhere. With 13B I keep getting timeout errors all the time, with 7B it's only slightly better. The timeout errors are the biggest obstacle right ... | 2 | 0 | 2023-04-21T11:23:56 | Dany0 | false | null | 0 | jh4qgw6 | false | /r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jh4qgw6/ | false | 2 |
t1_jh4plpc | So far I tried do make it run using that dalai thing that worked with alpaca, but there's some error when I try to use the vicuna model. Anyway, I was hoping for info on if that's probably the vicuna 1.0 or the 1.1 thing. Because it's not "uncensored", I probably don't have a whole lot of interest to make it work for n... | 1 | 0 | 2023-04-21T11:14:35 | involviert | false | null | 0 | jh4plpc | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh4plpc/ | false | 1 |
t1_jh4npz8 | Right, those are GPTQ for GPU versions. Here are the ggml versions: The unfiltered [vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g-GGML](https://huggingface.co/TheBloke/vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g-GGML) and the newer [vicuna-7B-1.1-GPTQ-4bit-128g-GGML](https://huggingface.co/TheBloke/vicuna-7B-1.1-GPTQ-4bit-128g-G... | 2 | 0 | 2023-04-21T10:52:54 | WolframRavenwolf | false | null | 0 | jh4npz8 | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh4npz8/ | false | 2 |
t1_jh4ivmf | did the file name end in '.bin'? if so then that's a version of the vicuna model suitable for use with LLaMa.cpp and derivatives which is a CPU oriented way of running LLMs. oobabooga WebUI can run it using these [instructions](https://github.com/oobabooga/text-generation-webui/wiki/llama.cpp-models). | 1 | 0 | 2023-04-21T09:49:01 | Thellton | false | null | 0 | jh4ivmf | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh4ivmf/ | false | 1 |
t1_jh4g0gc | I had terrible performance on cpu from the 4_1, but the 4_0 seems normal. This might translate to the gpu versions for some reason, it's all black magic to me. There is a smaller footprint version https://huggingface.co/MetaIX/GPT4-X-Alpaca-30B-Int4 | 1 | 0 | 2023-04-21T09:06:05 | ambient_temp_xeno | false | null | 0 | jh4g0gc | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh4g0gc/ | false | 1 |
t1_jh4ewlc | Thanks!! | 1 | 0 | 2023-04-21T08:49:15 | CubicEarth | false | null | 0 | jh4ewlc | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh4ewlc/ | false | 1 |
t1_jh4ei1n | There will still be a speed penalty from splitting layers across GPUs due to bandwidth limitations (as mentioned above even with NVLink). How much I have no idea… Generally it’s always faster if the entire model can fit into VRAM. When inferencing, the tensor can be split across multiple GPUs for speedups.
https://hugg... | 1 | 0 | 2023-04-21T08:43:07 | CKtalon | false | null | 0 | jh4ei1n | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh4ei1n/ | false | 1 |
t1_jh4e8on | Try this out if you have a gpu that have 8gb of vram https://mlc.ai/web-llm/ it's the most friendly user i ever seen
If you have 4gb vram it's gone be so slow at 0.6 tokens per second you need google canary for it to work because it requires webgpu enabled it's pretty easy just prompt hello on the website and it will s... | 1 | 0 | 2023-04-21T08:39:08 | Puzzleheaded_Acadia1 | false | null | 0 | jh4e8on | false | /r/LocalLLaMA/comments/12lksqo/ai_showdown_gpt4xalpaca_vs_vicuna_gpt4_as_the/jh4e8on/ | false | 1 |
t1_jh4e1su | I read about the NVswitch linking the H100s.... yeah, it is insane and dwarfs PCIe bandwidth. I just don't know that much about how the LLMs are inferred in practical terms, and wasn't sure how critical the intra-GPU bandwidth was.
I read something that suggested that all the computation was carried out on a single GP... | 1 | 0 | 2023-04-21T08:36:18 | CubicEarth | false | null | 0 | jh4e1su | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh4e1su/ | false | 1 |
t1_jh4dmrt | I've tested on a variety of systems (all Linux), and I was certainly surprised by their behaviour. Getting optimum performance is by no means trivial.
* On a 32-core (64-thread) Threadripper, using 16 adjacent cores was optimal. 32 cores was about the same speed, and using non-adjacent cores was slightly slower.
* On ... | 2 | 0 | 2023-04-21T08:29:46 | gammalsvenska | false | null | 0 | jh4dmrt | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jh4dmrt/ | false | 2 |
t1_jh4css8 | I'm having a hard time getting Vicuna to **run on Ubuntu**, and I can't seem to find any tutorials that are specific to it. Everyone I see is either using Mac or Windows... Do you know of **any good tutorials** out there? It don't matter if it's a video or a blog, anything helps, thanks. | 2 | 0 | 2023-04-21T08:17:05 | iLoveMyHatsuneMiku | false | null | 0 | jh4css8 | false | /r/LocalLLaMA/comments/12lksqo/ai_showdown_gpt4xalpaca_vs_vicuna_gpt4_as_the/jh4css8/ | false | 2 |
t1_jh4bi3x | thank you! u da goat | 1 | 0 | 2023-04-21T07:57:28 | KeldenL | false | null | 0 | jh4bi3x | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh4bi3x/ | false | 1 |
t1_jh4bg9p | OK I'll have a look. I've not tried the new LoRA support yet.
I'm not exactly sure how it's going to work with quantisation but I will experiment and let you know. | 3 | 0 | 2023-04-21T07:56:43 | The-Bloke | false | null | 0 | jh4bg9p | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh4bg9p/ | false | 3 |
t1_jh4b79m | The difference is about 1-2 orders of magnitude. Generally A100s/H100s are linked up by MULTIPLE NVLinks to get insane bandwidth. My comments were more for single (lesser) NVLinks for 3090s (\~112GB/s). The server grade ones are completely different and hardly be "built" yourself.
[https://www.exxactcorp.com/blog/Comp... | 2 | 0 | 2023-04-21T07:53:01 | CKtalon | false | null | 0 | jh4b79m | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh4b79m/ | false | 2 |
t1_jh4ax38 | On my home system, here's what llama.cpp reports:
```
system_info: n_threads = 18 / 36 | AVX = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 0 | AVX512_VNNI = 1 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | VSX = 0 |
```
So yes to AVX512 and VNNI, but no to VBMI. Does ... | 2 | 0 | 2023-04-21T07:48:57 | The-Bloke | false | null | 0 | jh4ax38 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh4ax38/ | false | 2 |
t1_jh4arta | any chance u could add support for the new lora support in llama.cpp? | 1 | 0 | 2023-04-21T07:46:46 | KeldenL | false | null | 0 | jh4arta | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh4arta/ | false | 1 |
t1_jh4acjt | Isnt shared memory just ram ?
Using autodevice option should yield the same result as using shared memory from the gpu | 1 | 0 | 2023-04-21T07:40:25 | Extra_Penalty1781 | false | null | 0 | jh4acjt | false | /r/LocalLLaMA/comments/12tgmuq/make_use_of_the_shared_gpu_memory/jh4acjt/ | false | 1 |
t1_jh49wjh | I feel like stack exchange has the best most well reasoned responses from professionals in each field. Maybe even integrate the upvote count into the dataset, somehow. My personal opinion though | 2 | 0 | 2023-04-21T07:34:05 | MrGuavaBlack | false | null | 0 | jh49wjh | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh49wjh/ | false | 2 |
t1_jh47y5z | Interesting. I am looking at hardware architectures for high performance inference on a budget.
A single H100 is $40,000, with 2 TB/s of vram throughput.
Four 3090s would have the same vram capacity, but with a 4TB/s of vram throughput. On a motherboard with the enough pcie lanes, each card has 32GB/s of io. I wonder ... | 1 | 0 | 2023-04-21T07:06:08 | CubicEarth | false | null | 0 | jh47y5z | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh47y5z/ | false | 1 |
t1_jh47qah | Did you ever figure this out? | 1 | 0 | 2023-04-21T07:03:09 | aviatoraway1 | false | null | 0 | jh47qah | false | /r/LocalLLaMA/comments/12pcfnf/i_want_to_stop_my_response_when_the_probability/jh47qah/ | false | 1 |
t1_jh47lva | WHat the hell !!! That repo is full of exe !! Could you please explain or I will report your repo ! | 1 | 0 | 2023-04-21T07:01:28 | pschoro | false | null | 0 | jh47lva | false | /r/LocalLLaMA/comments/12p9nmq/new_autovicuna_projects_seems_to_be_chugging/jh47lva/ | false | 1 |
t1_jh46wl5 | It's cheaper than I expected it to be, it's weird how nobody did it earlier even though we had alpaca 65b loras for a while now.
Are you running the avx-512 with VNNI enabled at 18 threads to get to 650ms/token? I have much less powerful 11400f running llama 65b at 600ms per token with avx-512, VBMI and VNNI flags ena... | 2 | 0 | 2023-04-21T06:52:03 | ThatLastPut | false | null | 0 | jh46wl5 | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh46wl5/ | false | 2 |
t1_jh45qee | Will check it out, thanks! | 1 | 0 | 2023-04-21T06:36:34 | Zyj | false | null | 0 | jh45qee | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh45qee/ | false | 1 |
t1_jh42qli | StabilityAI finetuned their new StableLM model on: Stanford's Alpaca, Nomic-AI's gpt4all, RyokoAI's ShareGPT52K datasets, Databricks labs' Dolly, and Anthropic's HH. | 4 | 0 | 2023-04-21T05:57:26 | gochomer | false | null | 0 | jh42qli | false | /r/LocalLLaMA/comments/12tmz9v/are_instruction_sets_being_combined/jh42qli/ | false | 4 |
t1_jh3yh7r | Has anyone benchmarked the generative performance between 8-bit vs 4-bit? I've been looking for such performance benchmark, but haven't found yet. If anyone can point me in that direction, that is greatly appreciated. | 1 | 0 | 2023-04-21T05:07:14 | goproai | false | null | 0 | jh3yh7r | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jh3yh7r/ | false | 1 |
t1_jh3y62y | There's also Open Assistant dataset:
[https://github.com/LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)
And ShareGPT dataset. It would be awesome if someone took all of these datasets and combined and cleaned them really well. | 6 | 0 | 2023-04-21T05:03:56 | jd_3d | false | null | 0 | jh3y62y | false | /r/LocalLLaMA/comments/12tmz9v/are_instruction_sets_being_combined/jh3y62y/ | false | 6 |
t1_jh3wztv | I think you can probably do a lot with a LoRa! I have only ran 1 so I still have a lot to learn on that~
I’ve also seen this, which looks like they scraped the entire UnrealEngine manual and just dumped it in unformatted <.< it still seems like it worked really well?
https://github.com/bublint/ue5-llama-lora | 1 | 0 | 2023-04-21T04:51:19 | disarmyouwitha | false | 2023-04-21T04:55:29 | 0 | jh3wztv | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh3wztv/ | false | 1 |
t1_jh3wslq | Do you have any tips regarding settings/prompts? | 1 | 0 | 2023-04-21T04:49:12 | darxkies | false | null | 0 | jh3wslq | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh3wslq/ | false | 1 |
t1_jh3vvsa | Thanks | 1 | 0 | 2023-04-21T04:39:37 | goproai | false | null | 0 | jh3vvsa | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jh3vvsa/ | false | 1 |
t1_jh3vb5v | Do you have any info you can share on how to quantize a full precision model down to lower precision? I’d love to able to do that for some other models. Would really like to understand the process. | 1 | 0 | 2023-04-21T04:33:53 | meowkittykitty510 | false | null | 0 | jh3vb5v | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh3vb5v/ | false | 1 |
t1_jh3s0s3 | That depends on your budget. Used 3090s have become a popular choice for this and can be had for far less than their MSRP. | 3 | 0 | 2023-04-21T04:01:26 | Technical_Leather949 | false | null | 0 | jh3s0s3 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jh3s0s3/ | false | 3 |
t1_jh3huyw | >deepspeed
bad llama | 5 | 0 | 2023-04-21T02:31:58 | Brazilian_Hamilton | false | null | 0 | jh3huyw | false | /r/LocalLLaMA/comments/12tgmuq/make_use_of_the_shared_gpu_memory/jh3huyw/ | false | 5 |
t1_jh3gc02 | FWIW I'm running 2.0.0 on Torch. `nvidia-smi` reports `NVIDIA-SMI 530.30.02 Driver Version: 531.18 CUDA Version: 12.1`
Also I want to be totally frank that those command-line arguments made some sense to me two weeks ago when I wrote the shell script I invoke, but I don't recall exactly why I thoug... | 1 | 0 | 2023-04-21T02:19:39 | the_quark | false | null | 0 | jh3gc02 | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh3gc02/ | false | 1 |
t1_jh3fr19 | Is in fairly early development so there's some bugs and stuff but hopefully someone finds it useful. More features are planned such as text-to-speech, speech-to-text and integration with OpenAI API | 1 | 0 | 2023-04-21T02:14:58 | Cradawx | false | null | 0 | jh3fr19 | false | /r/LocalLLaMA/comments/12tn4m4/maji_llm_a_qt_desktop_gui_for_local_language/jh3fr19/ | false | 1 |
t1_jh3fq87 | Oh, I remember creasing somewhere than 30b models won't fit into 24GB VRAM with groupsize 128, so I'd removed it. I'll add that back and try again.
Apart from that I'm not specifying model type, gpu memory and loading in notebook mode rather than cai-chat. None of those should be causing the performance difference.
... | 1 | 0 | 2023-04-21T02:14:47 | Nazi-Of-The-Grammar | false | null | 0 | jh3fq87 | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh3fq87/ | false | 1 |
t1_jh3dw89 | Really depends how the layers are spread across the GPUs. Generally for 2 cards with and without NVLink, the speed difference is maybe about 10% at best. | 1 | 0 | 2023-04-21T02:00:34 | CKtalon | false | null | 0 | jh3dw89 | false | /r/LocalLLaMA/comments/11xfhq4/is_this_good_idea_to_buy_more_rtx_3090/jh3dw89/ | false | 1 |
t1_jh3bmsk | I don't have such resources. Oobabooga has a "Training" tab in recent versions, but I've never gotten it to work myself.
Whether or not a LoRA will "help" with memory would depend on your use case and what you're training with. If it let you train in some way of responding that you have to otherwise specify in your ch... | 2 | 0 | 2023-04-21T01:42:54 | the_quark | false | null | 0 | jh3bmsk | false | /r/LocalLLaMA/comments/12svqr1/what_is_soft_prompt_and_how_do_i_use_it/jh3bmsk/ | false | 2 |
t1_jh3bcs0 | Well, I'm on WSL 2 so I didn't use the Windows installer, but that shouldn't be important I don't think. For whatever it's worth, the arguments I give at runtime (if you're on a recent Oobabooga version these should be all settable in the interface) are:
`python` [`server.py`](https://server.py) `--auto-devices --wbit... | 1 | 0 | 2023-04-21T01:40:42 | the_quark | false | null | 0 | jh3bcs0 | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh3bcs0/ | false | 1 |
t1_jh39xr0 | thank you for this information, ***could you send me resources on how to make a lora for text models like gpt4 x alpaca and or explain a easy way to make one***? And will a lora also make it so you use up less tokens to make the bot remember more? | 1 | 0 | 2023-04-21T01:29:35 | FriendDimension | false | null | 0 | jh39xr0 | false | /r/LocalLLaMA/comments/12svqr1/what_is_soft_prompt_and_how_do_i_use_it/jh39xr0/ | false | 1 |
t1_jh3812l | [deleted] | -6 | 0 | 2023-04-21T01:14:47 | [deleted] | true | null | 0 | jh3812l | false | /r/LocalLLaMA/comments/12tgmuq/make_use_of_the_shared_gpu_memory/jh3812l/ | false | -6 |
t1_jh344pe | Oo ok thank you! I have a 3090, so not quite an A100 lol. Is there any real benefit to going through the hassle of LoRA training or is it faster to just wait for the next free model release lol | 1 | 0 | 2023-04-21T00:44:01 | xRolocker | false | null | 0 | jh344pe | false | /r/LocalLLaMA/comments/12t79i6/best_datasets_for_local_training/jh344pe/ | false | 1 |
t1_jh33b70 | Turns out dataset size doesn't mean much when the data or your training method is shit. | 2 | 0 | 2023-04-21T00:37:36 | StickiStickman | false | null | 0 | jh33b70 | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh33b70/ | false | 2 |
t1_jh33a08 | Context: "The dungeon master is an experienced roleplayer who knows their way around fantasy and science fiction adventures. They have a deep understanding of creating interesting lore behind the game world they are running. They have the ability to improvise when things don't go according to plan. The dungeon master p... | 7 | 0 | 2023-04-21T00:37:19 | Street-Biscotti-4544 | false | null | 0 | jh33a08 | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh33a08/ | false | 7 |
t1_jh338lc | Not just GPT-2 level ... but TINY GPT-2 level! Even the tiny 700M parameter model of GPT-2 that you can run on a toaster beats it by a huge margin. | 1 | 0 | 2023-04-21T00:37:01 | StickiStickman | false | null | 0 | jh338lc | false | /r/LocalLLaMA/comments/12se1ww/comparing_stablelm_tuned_7b_and_vicuna_7b/jh338lc/ | false | 1 |
t1_jh32lwp | isn't GPTQ the gpu version?
I use ggml with llama.cpp | 2 | 0 | 2023-04-21T00:32:06 | Killerx7c | false | null | 0 | jh32lwp | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh32lwp/ | false | 2 |
t1_jh31xbt | I'm interested by your DM bot. I tried many prompts from all size and could never get a good story, even with GPT-4 :-/ I guess it's a limitation of these LLM | 2 | 0 | 2023-04-21T00:26:40 | drifter_VR | false | null | 0 | jh31xbt | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh31xbt/ | false | 2 |
t1_jh31lhl | Did you do anything except just using the Oobabooga windows installer? I'm on a 4090 and getting 0.5 tokens per second with 30b models. | 1 | 0 | 2023-04-21T00:24:08 | Nazi-Of-The-Grammar | false | null | 0 | jh31lhl | false | /r/LocalLLaMA/comments/12olo6k/uncensored_models/jh31lhl/ | false | 1 |
t1_jh2wice | StableLM is fatally flawed as far as I can see. I'm amazed they aren't halting and starting over. Pretty sure they borked their dataset and the result so far is absolutely laughably bad.
Loved the thought of having a 4k context local model, but that one is a joke. Anything currently available at similar size is better... | 3 | 0 | 2023-04-20T23:44:36 | teachersecret | false | null | 0 | jh2wice | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh2wice/ | false | 3 |
t1_jh2w13g | Everyone was using a Google colab notebook called Easy Softprompt Trainer but it broke back in January and I've never been able to make it work, and searching around I haven't found any other resources.
In general I think the community effort is leaning more towards LoRAs for this now anyway. | 3 | 0 | 2023-04-20T23:41:02 | the_quark | false | null | 0 | jh2w13g | false | /r/LocalLLaMA/comments/12svqr1/what_is_soft_prompt_and_how_do_i_use_it/jh2w13g/ | false | 3 |
t1_jh2vqr2 | Yeah it looks like Vicuna is not supported in langchain yet. It also needs work on prompting like you said. I would watch this thread for any updates.
https://github.com/hwchase17/langchain/issues/2228 | 3 | 0 | 2023-04-20T23:38:57 | aviatoraway1 | false | null | 0 | jh2vqr2 | false | /r/LocalLLaMA/comments/12smm1m/is_it_possible_to_run_gptq_quantized_4bit_13b/jh2vqr2/ | false | 3 |
t1_jh2uswy | It does work for training as well. Essentially, each GPU in their network hosts one *layer* of the total model. So as long as you can get each layer to fit on a single GPU (which most large models do, they just process in parallel locally). They had a great presentation at the BOINC workshop this year about it (boincwo... | 1 | 0 | 2023-04-20T23:31:34 | makeasnek | false | null | 0 | jh2uswy | false | /r/LocalLLaMA/comments/12m0e9m/distributed_training_over_networkinternet/jh2uswy/ | false | 1 |
t1_jh2ukv0 | This has existed for over a decade, it just doesn't get the press as some other big market cap coins due to lack of VC funding. /r/Gridcoin rewards scientific compute for a number of projects (Folding @ home, BOINC, World Community Grid, finding pulsars, etc) | 1 | 0 | 2023-04-20T23:29:51 | makeasnek | false | null | 0 | jh2ukv0 | false | /r/LocalLLaMA/comments/12m0e9m/distributed_training_over_networkinternet/jh2ukv0/ | false | 1 |
t1_jh2uf6z | Check out Petals, it's already being done | 1 | 0 | 2023-04-20T23:28:37 | makeasnek | false | null | 0 | jh2uf6z | false | /r/LocalLLaMA/comments/12m0e9m/distributed_training_over_networkinternet/jh2uf6z/ | false | 1 |
t1_jh2s89r | This model is taking 6 minutes for a reply even with a 4090. Am I doing something wrong? | 5 | 0 | 2023-04-20T23:11:37 | Nazi-Of-The-Grammar | false | null | 0 | jh2s89r | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jh2s89r/ | false | 5 |
t1_jh2r29e | That's one of the models I grabbed. Could have been a fluke. I've been using the fatty alpaca all day today with good results. | 1 | 0 | 2023-04-20T23:02:36 | ThePseudoMcCoy | false | null | 0 | jh2r29e | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh2r29e/ | false | 1 |
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