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Using LLMs to build custom Operating Systems? | 5 | Sometime ago I was reading a conversation here on reddit, between people more well informed than myself, about how language models with large enough context windows could (one day) write custom operating systems for computers / mobile devices from the ground up - meaning one day everyone could just develop their own pr... | 2023-10-03T02:17:39 | https://www.reddit.com/r/LocalLLaMA/comments/16yfuqd/using_llms_to_build_custom_operating_systems/ | Wroisu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16yfuqd | false | null | t3_16yfuqd | /r/LocalLLaMA/comments/16yfuqd/using_llms_to_build_custom_operating_systems/ | false | false | self | 5 | null |
dolphin-2.0-mistral-7b | 80 | Today I released dolphin-2.0-mistral-7b
[https://huggingface.co/ehartford/dolphin-2.0-mistral-7b](https://huggingface.co/ehartford/dolphin-2.0-mistral-7b)
[https://erichartford.com/dolphin](https://erichartford.com/dolphin)
This model is based on mistralAI, so it is suitable for commercial or non-commercial use.
Th... | 2023-10-03T02:08:41 | https://www.reddit.com/r/LocalLLaMA/comments/16yfnt4/dolphin20mistral7b/ | faldore | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16yfnt4 | false | null | t3_16yfnt4 | /r/LocalLLaMA/comments/16yfnt4/dolphin20mistral7b/ | false | false | 80 | null | |
Any cool new 13B or so models? | 29 | We hear about mistral and others at 7b, but what about the slightly bigger models? I am doing 64GB sys ram with GGUF, no gpu, and a bad ass 13B is the sweet spot right? | 2023-10-03T00:56:46 | https://www.reddit.com/r/LocalLLaMA/comments/16ye3zz/any_cool_new_13b_or_so_models/ | Overall-Importance54 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16ye3zz | false | null | t3_16ye3zz | /r/LocalLLaMA/comments/16ye3zz/any_cool_new_13b_or_so_models/ | false | false | self | 29 | null |
What's the best general model for 24GB vram? [LLama 1 30B VS LLama 2 13B VS Q2 LLama 2 70B VS Code Llama 34B VS LLama 2 70B ExLlamaV2 ] | 25 | As the title says there seems to be 5 types of models which can be fit on a 24GB vram GPU:
1. Q4 LLama 1 30B
2. Q8 LLama 2 13B
3. Q2 LLama 2 70B
4. Q4 Code Llama 34B (finetuned for chat)
5. Q2.55 format LLama 2 70B ExLlamav2
A special leaderboard for quantized models made to fit on 24GB vram would be useful, as curr... | 2023-10-03T00:42:00 | https://www.reddit.com/r/LocalLLaMA/comments/16ydsdj/whats_the_best_general_model_for_24gb_vram_llama/ | ChromeCat1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16ydsdj | false | null | t3_16ydsdj | /r/LocalLLaMA/comments/16ydsdj/whats_the_best_general_model_for_24gb_vram_llama/ | false | false | self | 25 | null |
So they "are training the next version of Llama now" | 38 | Just heard this in this video from 5 days ago https://youtube.com/clip/Ugkx2fUKl11YiwxDRxY8be1SD3KHQ-Hv3Qqh?si=3Kn8Ml9llVabKIYS .
I have my own theories about Llama 3, but what do you expect to be released and in what timeframe? | 2023-10-03T00:32:05 | https://www.reddit.com/r/LocalLLaMA/comments/16ydklz/so_they_are_training_the_next_version_of_llama_now/ | hapliniste | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16ydklz | false | null | t3_16ydklz | /r/LocalLLaMA/comments/16ydklz/so_they_are_training_the_next_version_of_llama_now/ | false | false | self | 38 | {'enabled': False, 'images': [{'id': 'H7Y8wOitV_Dhk3pncktPXim57D8Vfi6L0VEPTIgkDX0', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/oO3KtVQtGeykiPGJBDQCJeamz__B6hTRcSDb4L3OsR0.jpg?width=108&crop=smart&auto=webp&s=ff2ebcddfdba5fb96ff7b25f2c11c45ce6aff3a9', 'width': 108}, {'height': 121, 'url': 'h... |
How do you run small models (3b and 7b) for text classification, removing PII, sentiment analysis, etc.? I don't want to chat with the model—Just a small model, preferably capable of function calling or structured output in some other way. I assume no GPU is required for this? What server is best? | 1 | [removed] | 2023-10-02T22:20:54 | https://www.reddit.com/r/LocalLLaMA/comments/16yaf9k/how_do_you_run_small_models_3b_and_7b_for_text/ | nderstand2grow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16yaf9k | false | null | t3_16yaf9k | /r/LocalLLaMA/comments/16yaf9k/how_do_you_run_small_models_3b_and_7b_for_text/ | false | false | self | 1 | null |
What are the best settings for a computer with an integrated GPU and 16gb RAM? | 8 | I've been trying to run the smallest llama 2 7b model ( [**llama2\_7b\_chat\_uncensored.Q2\_K.gguf**](https://huggingface.co/TheBloke/llama2_7b_chat_uncensored-GGUF/blob/main/llama2_7b_chat_uncensored.Q2_K.gguf) ), but despite that it still runs incredibly slow (taking more than a minute to generate an output).
I curr... | 2023-10-02T22:15:49 | https://www.reddit.com/r/LocalLLaMA/comments/16yaacr/what_are_the_best_settings_for_a_computer_with_an/ | Cheems63 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16yaacr | false | null | t3_16yaacr | /r/LocalLLaMA/comments/16yaacr/what_are_the_best_settings_for_a_computer_with_an/ | false | false | 8 | {'enabled': False, 'images': [{'id': 'ER-CItww6gz_7N6NuepmqOviEmJGTdtIyK1AuJawdR8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/D_Dm4aCSuAwl2QcSqoXdgwRCNUzhtyb6C4O6KhyQcoQ.jpg?width=108&crop=smart&auto=webp&s=61b8f4399a61fdedebd6c2d9d1751701d842500a', 'width': 108}, {'height': 116, 'url': 'h... | |
Meanwhile... | 84 | 2023-10-02T22:02:50 | perlthoughts | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 16y9y6n | false | null | t3_16y9y6n | /r/LocalLLaMA/comments/16y9y6n/meanwhile/ | false | false | 84 | {'enabled': True, 'images': [{'id': 'e5Bltwrhj4Y8Ua24RfEoWhsqLzD1V5wpS9vdo3_wBJk', 'resolutions': [{'height': 79, 'url': 'https://preview.redd.it/g94zexzo3vrb1.png?width=108&crop=smart&auto=webp&s=0345c51276b53089fd7eba5696202244c77ec485', 'width': 108}, {'height': 159, 'url': 'https://preview.redd.it/g94zexzo3vrb1.png... | |||
Quantize LLaMA 2 70B | 6 | Hi community. I am trying to quantize the LLaMA 2 70B model to 4bits so I can then train it. I've been using the Hugging face documentation and was able to get the model and load it to system RAM (259GB it took) my impression was that I would be able to use CPU for this but I am getting the error that GPTQ needs CUDA. ... | 2023-10-02T21:32:26 | https://www.reddit.com/r/LocalLLaMA/comments/16y96mz/quantize_llama_2_70b/ | nomusichere | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y96mz | false | null | t3_16y96mz | /r/LocalLLaMA/comments/16y96mz/quantize_llama_2_70b/ | false | false | self | 6 | null |
A Starter Guide for Playing with Your Own Local AI! | 1,078 | # LearningSomeCode's Starter Guide for Local AI!
​
So I've noticed a lot of the same questions pop up when it comes to running LLMs locally, because much of the information out there is a bit spread out or technically complex. My goal is to create a stripped down guide of "Here's what you need to get started",... | 2023-10-02T21:31:14 | https://www.reddit.com/r/LocalLLaMA/comments/16y95hk/a_starter_guide_for_playing_with_your_own_local_ai/ | LearningSomeCode | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y95hk | false | null | t3_16y95hk | /r/LocalLLaMA/comments/16y95hk/a_starter_guide_for_playing_with_your_own_local_ai/ | false | false | self | 1,078 | {'enabled': False, 'images': [{'id': 'bsrUrF-k2x1U7RkcRbq1z_kp9wCj2QtGbDYoPoTMjAQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/GcC5wkIjMR4P8rCed0aMTkiW__sQYgbZvRAHw4XdUYg.jpg?width=108&crop=smart&auto=webp&s=32d09f84def717508d5d99ff4e76f741f91ef773', 'width': 108}, {'height': 108, 'url': 'h... |
Is anyone tracking which coding models are winning? | 11 |
I want to know which models have the most users, but it's a bit difficult to do the math when there's so many different versions of the same models on hugging face.
Is anyone keeping score on this?
Specifically models with a coding used case, or coding specific models, or large models that are trained on Code would ... | 2023-10-02T20:46:54 | https://www.reddit.com/r/LocalLLaMA/comments/16y7wes/is_anyone_tracking_which_coding_models_are_winning/ | XPartyUSA | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y7wes | false | null | t3_16y7wes | /r/LocalLLaMA/comments/16y7wes/is_anyone_tracking_which_coding_models_are_winning/ | false | false | self | 11 | null |
Anyone knows email clients that allows using local LLMs with them? | 8 | While improving LLMs is a good thing, making interfaces for where they can be used (coding, mail, doc analysis, statistics...) is probably even more useful.
Since the mail usage is one of the most obvious ones, what setup did you do? | 2023-10-02T20:07:22 | https://www.reddit.com/r/LocalLLaMA/comments/16y6uho/anyone_knows_email_clients_that_allows_using/ | Divniy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y6uho | false | null | t3_16y6uho | /r/LocalLLaMA/comments/16y6uho/anyone_knows_email_clients_that_allows_using/ | false | false | self | 8 | null |
a 7b better than llama 65b now??? Mistral Orca is OUT! | 296 | Today, we are releasing Mistral-7B-OpenOrca. This is the first 7B model to score better overall than all other models below 30B. We've achieved 98% of Llama2-70B-chat's performance!
thanks to MistralAI for showing the way with the amazing open release of Mistral-7B! So great to have this much capability ready for ... | 2023-10-02T20:03:45 | https://www.reddit.com/r/LocalLLaMA/comments/16y6r3x/a_7b_better_than_llama_65b_now_mistral_orca_is_out/ | Alignment-Lab-AI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y6r3x | false | null | t3_16y6r3x | /r/LocalLLaMA/comments/16y6r3x/a_7b_better_than_llama_65b_now_mistral_orca_is_out/ | false | false | self | 296 | {'enabled': False, 'images': [{'id': 'eneSk2GzNn2l4kiGIcaA958RZjxMFPpZ0GWE6rnyRys', 'resolutions': [], 'source': {'height': 48, 'url': 'https://external-preview.redd.it/WRugcO4eZ-aAtaoEtR4fMAuA3CtR7HuD0JQMMbqNZR0.jpg?auto=webp&s=ebad8cee27692be41aa40e1b939263c4cac6b3e5', 'width': 48}, 'variants': {}}]} |
What's a strategy for encoding the list of documents the LLM was given? | 2 | Title. I've done some research online but I can't really find any guides. Ideally I'd be able to ask the model something like "What documents are at your disposal" and it would list them, or at least a few of them. I'm only using about 100 pdf-s. | 2023-10-02T19:59:51 | https://www.reddit.com/r/LocalLLaMA/comments/16y6n4u/whats_a_strategy_for_encoding_the_list_of/ | TheRealSwagrid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y6n4u | false | null | t3_16y6n4u | /r/LocalLLaMA/comments/16y6n4u/whats_a_strategy_for_encoding_the_list_of/ | false | false | self | 2 | null |
One-shot / few-shot prompt just returning the prompt back to me? | 1 | I am trying to execute a summary, I have given the LLM either one-shot or few-shot examples as the performance isn't great initially but I'm finding that I'm just getting the summary of the prompt given back to me.
I've structured it as Example input then example output. Is the issue length of prompt its c.500 tokens... | 2023-10-02T19:54:35 | https://www.reddit.com/r/LocalLLaMA/comments/16y6icc/oneshot_fewshot_prompt_just_returning_the_prompt/ | BeigeSponge | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y6icc | false | null | t3_16y6icc | /r/LocalLLaMA/comments/16y6icc/oneshot_fewshot_prompt_just_returning_the_prompt/ | false | false | self | 1 | null |
Mistral-7B-OpenOrca Released | 155 | > We're releasing Mistral-7B-OpenOrca! You can call it MistralOrca too: [https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) This time we have a 7B model that places above all but one of all models below 30B! (The other is a 13B also trained on our data) *We now ... | 2023-10-02T19:22:06 | https://www.reddit.com/r/LocalLLaMA/comments/16y5nq8/mistral7bopenorca_released/ | ab2377 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y5nq8 | false | null | t3_16y5nq8 | /r/LocalLLaMA/comments/16y5nq8/mistral7bopenorca_released/ | false | false | self | 155 | {'enabled': False, 'images': [{'id': '1-UMy28d5RaIiKP9qwQPG23Zi1isvkTG_pqmCwh1HLQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/344T851aeNtz-H3kxCBtnrFQDu7B_yqKTRq-WMiwWDI.jpg?width=108&crop=smart&auto=webp&s=1e4612d852d2136528e4e4705f9df9b254ada76e', 'width': 108}, {'height': 116, 'url': 'h... |
Which Smartphone Reigns Supreme: Pixel 7 or S23 Ultra for Running 13b Llama Models? | 1 | [removed] | 2023-10-02T19:16:54 | https://www.reddit.com/r/LocalLLaMA/comments/16y5ir2/which_smartphone_reigns_supreme_pixel_7_or_s23/ | Butt-Fingers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y5ir2 | false | null | t3_16y5ir2 | /r/LocalLLaMA/comments/16y5ir2/which_smartphone_reigns_supreme_pixel_7_or_s23/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'OFWBx7P-O8DRHEGaphxDI0ue7l3JmaUT8BlBDzrE0xw', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/qbCPxwdwdBy0u97AlbgGdsQ-2XNYttc2REdLDtJy7bY.jpg?width=108&crop=smart&auto=webp&s=11c45c099d19eb322153521f359b6dc007756760', 'width': 108}, {'height': 116, 'url': 'h... |
Best approach to create a large number of text descriptions/summaries | 1 | Hello
I have been using various local LMs for basic QA stuff. Now I need to use some LLM to generate a largish number (50,000) of text descriptions. I have a bunch of texts that are case notes, fiction, whitepapers etc. And I want to generate short descriptions of the texts. What is the best approach to do this? I hav... | 2023-10-02T18:39:29 | https://www.reddit.com/r/LocalLLaMA/comments/16y4k58/best_approach_to_create_a_large_number_of_text/ | bigbuttsandsteampunk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y4k58 | false | null | t3_16y4k58 | /r/LocalLLaMA/comments/16y4k58/best_approach_to_create_a_large_number_of_text/ | false | false | self | 1 | null |
Open Source multimodality | 13 | Multimodality has finally entered the game. OpenAI has announced that multimodality is finally coming to ChatGPT, giving us access to GPT4's ability to see and analise images alongside the text prompt (as well as being connected to Dall-e 3 for generating images, and being able to re-feed those images into the context ... | 2023-10-02T18:28:44 | https://www.reddit.com/r/LocalLLaMA/comments/16y4adf/open_source_multimodality/ | PenguinTheOrgalorg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y4adf | false | null | t3_16y4adf | /r/LocalLLaMA/comments/16y4adf/open_source_multimodality/ | false | false | self | 13 | null |
Is there a place to share and explore the generations of different LLM model? | 1 | Sort of like there is for text to image generation | 2023-10-02T16:39:34 | https://www.reddit.com/r/LocalLLaMA/comments/16y1gqq/is_there_a_place_to_share_and_explore_the/ | crischu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y1gqq | false | null | t3_16y1gqq | /r/LocalLLaMA/comments/16y1gqq/is_there_a_place_to_share_and_explore_the/ | false | false | self | 1 | null |
New research: Teaching LLMs to use tools helps them solve way more complex math problems. | 1 | When trying to get language models to solve complex math problems, researchers kept running into limits. Models like GPT-3 and ChatGPT still struggle with advanced algebra, calculus, and geometry questions. The math is just too abstract and symbol-heavy for them.
To break through this barrier, researchers from Tsinghu... | 2023-10-02T16:31:26 | https://www.reddit.com/r/LocalLLaMA/comments/16y19l2/new_research_teaching_llms_to_use_tools_helps/ | Successful-Western27 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y19l2 | false | null | t3_16y19l2 | /r/LocalLLaMA/comments/16y19l2/new_research_teaching_llms_to_use_tools_helps/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'fWGniop6U6MRWd1GQhlxWVjwAG2THH28YNVlum8siUI', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/6RrRC9dCtxEUQTYGlOcVjpt04QJNoBRTOexBh_zqxM8.jpg?width=108&crop=smart&auto=webp&s=c522628e7ffda67413755dd55eac01da13c9a1e7', 'width': 108}, {'height': 121, 'url': 'h... |
ELI5, training a model for localllama | 2 | I read maybe hundred of times how to train models but I'd love to get a IRL use case and real examples how and what you would train llama for. It's such an abstract topic, maybe b/c I've never trained a model, so I'd like to have a good ELI5. Bonus question: Is it not a lot of work and can it be automated? | 2023-10-02T15:45:05 | https://www.reddit.com/r/LocalLLaMA/comments/16y02ts/eli5_training_a_model_for_localllama/ | upk27 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16y02ts | false | null | t3_16y02ts | /r/LocalLLaMA/comments/16y02ts/eli5_training_a_model_for_localllama/ | false | false | self | 2 | null |
StreamingLLM —a simple and efficient framework that enables LLMs to handle unlimited texts without fine-tuning | 274 | From researchers at Meta and MIT, the paper came out a couple days ago but the chatbot demo and code were recently released.
**edit**: The title of this post was taken straight from the paper and wasn't meant to be misleading. I thought the paper was clear about it, but if you're unsure what StreamingLLM is for, they ... | 2023-10-02T15:40:01 | https://www.reddit.com/r/LocalLLaMA/comments/16xzxwv/streamingllm_a_simple_and_efficient_framework/ | llamaShill | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xzxwv | false | null | t3_16xzxwv | /r/LocalLLaMA/comments/16xzxwv/streamingllm_a_simple_and_efficient_framework/ | false | false | 274 | {'enabled': False, 'images': [{'id': 'q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss', 'resolutions': [{'height': 63, 'url': 'https://external-preview.redd.it/izh8gZHY4FqZ1nwtU1N_TjtohUCNuvTyMn90toXda80.jpg?width=108&crop=smart&auto=webp&s=bc9575b410002edc2df3c5b5b0355fefedc7baa8', 'width': 108}, {'height': 126, 'url': 'h... | |
StreamingLLM —a simple and efficient framework that enables LLMs to handle unlimited texts without fine-tuning | 1 | Paper: [http://arxiv.org/abs/2309.17453](http://arxiv.org/abs/2309.17453)
Code: [https://github.com/mit-han-lab/streaming-llm](https://github.com/mit-han-lab/streaming-llm)
Abstract:
>Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, ... | 2023-10-02T15:31:06 | https://www.reddit.com/r/LocalLLaMA/comments/16xzper/streamingllm_a_simple_and_efficient_framework/ | More_Code3540 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xzper | false | null | t3_16xzper | /r/LocalLLaMA/comments/16xzper/streamingllm_a_simple_and_efficient_framework/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss', 'resolutions': [{'height': 63, 'url': 'https://external-preview.redd.it/izh8gZHY4FqZ1nwtU1N_TjtohUCNuvTyMn90toXda80.jpg?width=108&crop=smart&auto=webp&s=bc9575b410002edc2df3c5b5b0355fefedc7baa8', 'width': 108}, {'height': 126, 'url': 'h... | |
StreamingLLM — a simple and efficient framework that enables LLMs to handle unlimited texts without fine-tuning | 1 | [removed] | 2023-10-02T15:17:23 | https://www.reddit.com/r/LocalLLaMA/comments/16xzd2x/streamingllm_a_simple_and_efficient_framework/ | llamaShill | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xzd2x | false | null | t3_16xzd2x | /r/LocalLLaMA/comments/16xzd2x/streamingllm_a_simple_and_efficient_framework/ | false | false | self | 1 | null |
Anyone Know any Good Orca/Phi datasets, or other good datasets for text gen? | 4 | Hi everyone, As I mentioned before, about the Project NanoPhi. One of my problems is that I need 2.4B tokens of Data for a properly chinchilla scaled gpt-2(124m) and I only have 640mil tokens, and as the TinyLlama project has shown me, stuffing way more tokens in works pretty good!
I'm only using Sciphi and tiny-textb... | 2023-10-02T14:00:37 | https://www.reddit.com/r/LocalLLaMA/comments/16xxeny/anyone_know_any_good_orcaphi_datasets_or_other/ | vatsadev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xxeny | false | null | t3_16xxeny | /r/LocalLLaMA/comments/16xxeny/anyone_know_any_good_orcaphi_datasets_or_other/ | false | false | self | 4 | null |
Deploy LLama 2 Chatbot Using AWS Sagemaker, Hugging Face, and Terraform | 1 | 2023-10-02T13:50:09 | https://www.joumenharzli.com/blog/deploy-your-own-private-llm-chatbot-using-aws-sagemaker-huggingface-terraform/ | CompteMta3Glag | joumenharzli.com | 1970-01-01T00:00:00 | 0 | {} | 16xx5w7 | false | null | t3_16xx5w7 | /r/LocalLLaMA/comments/16xx5w7/deploy_llama_2_chatbot_using_aws_sagemaker/ | false | false | default | 1 | null | |
Should I use LlamaIndex or txtai for local RAG? | 39 | I want to build my **own local RAG** system that can integrate into **my Obsidian knowledge base** and is at best **multi-modal**. To achieve this I found the following two frameworks that could handle the retrieval part:
* [LlamaIndex](https://github.com/jerryjliu/llama_index)
* [txtai](https://github.com/neuml/txtai... | 2023-10-02T13:23:29 | https://www.reddit.com/r/LocalLLaMA/comments/16xwk3k/should_i_use_llamaindex_or_txtai_for_local_rag/ | Dry-Advance52 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xwk3k | false | null | t3_16xwk3k | /r/LocalLLaMA/comments/16xwk3k/should_i_use_llamaindex_or_txtai_for_local_rag/ | false | false | self | 39 | {'enabled': False, 'images': [{'id': 'Y1slAfFnUJ7S0lr5MnG0QiZaynm0DJmQxgNREYkdEq8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/YSnAd3Kgc7QCgfE5w4ZZEOwVp9i-AbqFi9kQzAjndic.jpg?width=108&crop=smart&auto=webp&s=d0948c0e1b37a9c06cdeecd175a0be217a463652', 'width': 108}, {'height': 108, 'url': 'h... |
What's the best/practical use you've found for (Llama 2) 7B small models? | 61 | Just wondering if the small models (7b0or even 13b)have any practical use as of yet.... Even if it's in a small supporting capacity.
Thanks for sharing your thoughts | 2023-10-02T12:51:08 | https://www.reddit.com/r/LocalLLaMA/comments/16xvug2/whats_the_bestpractical_use_youve_found_for_llama/ | nuketro0p3r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xvug2 | false | null | t3_16xvug2 | /r/LocalLLaMA/comments/16xvug2/whats_the_bestpractical_use_youve_found_for_llama/ | false | false | self | 61 | null |
Too good to be true? Removing token limit | 1 | [removed] | 2023-10-02T12:33:26 | https://www.reddit.com/r/LocalLLaMA/comments/16xvhay/too_good_to_be_true_removing_token_limit/ | cvdbdo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xvhay | false | null | t3_16xvhay | /r/LocalLLaMA/comments/16xvhay/too_good_to_be_true_removing_token_limit/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'i8Ufu2PQki-9WbJsUUP08KctYl0SkjZLnNoyIvFItHE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/2YWT0jY7V7F30B6M_N6YWy_0N_Rd-pnCmk0oEHwAQuc.jpg?width=108&crop=smart&auto=webp&s=ae92237272ee7c9427b46804621ad5a4a346eec8', 'width': 108}, {'height': 108, 'url': 'h... |
Related Communities | 1 | [removed] | 2023-10-02T11:33:14 | https://www.reddit.com/r/LocalLLaMA/comments/16xu8ic/related_communities/ | Calm_List3479 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xu8ic | false | null | t3_16xu8ic | /r/LocalLLaMA/comments/16xu8ic/related_communities/ | false | false | self | 1 | null |
What is better 4bit full fine tuning or lora? | 1 | Hi Guys,
I got another newbie question:
According to my understanding lora freezes the parameters of a model and introduces its "own" parameters for the training. Afterwards the weights will be combined somehow. (Not perfect but I think the idea is correct)
Now I wonder about the differences to a 4bit full fine ... | 2023-10-02T11:23:04 | https://www.reddit.com/r/LocalLLaMA/comments/16xu1ba/what_is_better_4bit_full_fine_tuning_or_lora/ | Enkay55 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xu1ba | false | null | t3_16xu1ba | /r/LocalLLaMA/comments/16xu1ba/what_is_better_4bit_full_fine_tuning_or_lora/ | false | false | self | 1 | null |
Best way to distill information from a long HTML document? | 3 | Hi, I am looking for some pointers to distill information from a single, large but quite structural (to human) **HTML** document containing some event schedules\*.
I am using langchain's WebBaseLoader to perform the data ingestion, RecursiveCharacterTextSplitter for chunking and Chroma DB as the vector store. Retriev... | 2023-10-02T10:58:12 | https://www.reddit.com/r/LocalLLaMA/comments/16xtjq0/best_way_to_distill_information_from_a_long_html/ | edwios | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xtjq0 | false | null | t3_16xtjq0 | /r/LocalLLaMA/comments/16xtjq0/best_way_to_distill_information_from_a_long_html/ | false | false | self | 3 | null |
llama-cpp on T4 google colab, Unable to use GPU | 2 | In Google Colab, though have access to both CPU and GPU T4 GPU resources for running following code. However, what is the reason I am encounter limitations, the GPU is not being used? I selected T4 from runtime options
`!CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip install llama-cpp-python`
 ... | 2023-10-02T10:20:11 | https://www.reddit.com/r/LocalLLaMA/comments/16xswej/llamacpp_on_t4_google_colab_unable_to_use_gpu/ | Chemical_Recover_995 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xswej | false | null | t3_16xswej | /r/LocalLLaMA/comments/16xswej/llamacpp_on_t4_google_colab_unable_to_use_gpu/ | false | false | self | 2 | null |
LLM safety finally solved | 1 | [removed] | 2023-10-02T09:04:36 | https://x.com/kcimc/status/1708266384516653353?s=61&t=-YemkyX5QslCGQDNKu_hPQ | krazzmann | x.com | 1970-01-01T00:00:00 | 0 | {} | 16xrqar | false | null | t3_16xrqar | /r/LocalLLaMA/comments/16xrqar/llm_safety_finally_solved/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'JyoiWmkIQ1IBlLCh50_AIxDResRTcLPo0GjUpd28Hhg', 'resolutions': [{'height': 110, 'url': 'https://external-preview.redd.it/XXgabM5VzEGSDO4FrCdqJj7cTQC8paAbKx4QmXrnePo.jpg?width=108&crop=smart&auto=webp&s=2e7c73fbc8203d18eb78b9334f742eb8eedfd9cc', 'width': 108}, {'height': 221, 'url': '... | |
Looking for a small model to host on my server | 1 | Is there a small but yet reasonably useful llama model that I can use on my server? I have tried openllama-3B which takes 10 minutes for a prompt.. | 2023-10-02T08:47:05 | https://www.reddit.com/r/LocalLLaMA/comments/16xrfu8/looking_for_a_small_model_to_host_on_my_server/ | ccpsleepyjoe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xrfu8 | false | null | t3_16xrfu8 | /r/LocalLLaMA/comments/16xrfu8/looking_for_a_small_model_to_host_on_my_server/ | false | false | self | 1 | null |
Summarization benchmarks for quantized models | 8 | I'm trying to find benchmarks for all the llama-2 quantized models, especially ROUGE 1,2 (can also include other metrics relevant to text summarization). Can anyone guide me to a resource that already ran the benchmarks ?
​ | 2023-10-02T08:36:49 | https://www.reddit.com/r/LocalLLaMA/comments/16xr9y4/summarization_benchmarks_for_quantized_models/ | DirectionOdd9824 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xr9y4 | false | null | t3_16xr9y4 | /r/LocalLLaMA/comments/16xr9y4/summarization_benchmarks_for_quantized_models/ | false | false | self | 8 | null |
About to buy Hardware for 7k | 56 | Hey,
At the end of the month, I'll be receiving a profit share of 7k, which I intend to use to purchase hardware for an LLM.
I was thinking of:
2x 3090(Used) Intel Core i9-13900K 256GB DDR5 RAM A suitable motherboard, of course (500-1k$) Is a 1000W PSU enough, or would a 1500W PSU be better?
Using the cloud is not... | 2023-10-02T07:26:33 | https://www.reddit.com/r/LocalLLaMA/comments/16xq65o/about_to_buy_hardware_for_7k/ | Moist_Influence1022 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xq65o | false | null | t3_16xq65o | /r/LocalLLaMA/comments/16xq65o/about_to_buy_hardware_for_7k/ | false | false | self | 56 | null |
What type and quantity of data are required to fine-tune a Language Model, such as LoRA, for the purpose of representing a prompt template? | 3 | I am currently in the process of integrating a prompt template into LoRA. I have determined that it will be successful if the following conditions are met:
* My input data is denoted as 'p0.'
* My target label is 'llm(p0 + p1).'
This will allow for the fine-tuning of 'p1' within my LoRA." | 2023-10-02T07:10:49 | https://www.reddit.com/r/LocalLLaMA/comments/16xpxeh/what_type_and_quantity_of_data_are_required_to/ | Sad-Lengthiness-6938 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xpxeh | false | null | t3_16xpxeh | /r/LocalLLaMA/comments/16xpxeh/what_type_and_quantity_of_data_are_required_to/ | false | false | self | 3 | null |
Dual GPU, ExLlama or Llama.cpp? | 1 | [removed] | 2023-10-02T06:42:16 | https://www.reddit.com/r/LocalLLaMA/comments/16xpgby/dual_gpu_exllama_or_llamacpp/ | Complex_Variation772 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xpgby | false | null | t3_16xpgby | /r/LocalLLaMA/comments/16xpgby/dual_gpu_exllama_or_llamacpp/ | false | false | self | 1 | null |
One click installation of PETALS ? | 2 | Everyone wants to run big models locally... Why isn’t Petals more optimized for ease of use-installation?
Everyone would be using it and won’t have a need for super expensive server cards. | 2023-10-02T05:51:40 | https://www.reddit.com/r/LocalLLaMA/comments/16xol1s/one_click_installation_of_petals/ | Majestical-psyche | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xol1s | false | null | t3_16xol1s | /r/LocalLLaMA/comments/16xol1s/one_click_installation_of_petals/ | false | false | self | 2 | null |
Building a RAG, but how to deal with questions that may require multiple relevant chunks | 8 | Hi all,
I am building a Retrieval Augmentation Generation model, which answers queries of users by using documents of a domain.
The first step would be chunking and finding the top-n chunks relevant to the query. But, the query may require just 1 chunk or more than 5 chunks to answer the query. How to deal with t... | 2023-10-02T04:02:04 | https://www.reddit.com/r/LocalLLaMA/comments/16xmlrt/building_a_rag_but_how_to_deal_with_questions/ | vile_proxima | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xmlrt | false | null | t3_16xmlrt | /r/LocalLLaMA/comments/16xmlrt/building_a_rag_but_how_to_deal_with_questions/ | false | false | self | 8 | null |
NanoPhi, Implementing some of the success of Phi-1.5, with GPT-2(124m) | 52 | Hi, r/LocalLLama, i'm trying to replicate at least some of the success of Phi 1.5 on a model 10x smaller, gpt-2 124m.
I have started with model finetuning, and have a simple github with roadmap, https://github.com/VatsaDev/NanoPhi, check it out there! | 2023-10-02T03:33:54 | https://www.reddit.com/r/LocalLLaMA/comments/16xm2hw/nanophi_implementing_some_of_the_success_of_phi15/ | vatsadev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xm2hw | false | null | t3_16xm2hw | /r/LocalLLaMA/comments/16xm2hw/nanophi_implementing_some_of_the_success_of_phi15/ | false | false | self | 52 | {'enabled': False, 'images': [{'id': '6mYNOoNDX7Jshix5nTdvRJd9gf_zoSncpqCmnRcyOCg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/3AyBqJDXHqb8D5U8bxsqEPZlOVOVa3l-EQ6I7NAc32g.jpg?width=108&crop=smart&auto=webp&s=f065c10845f99816d52fb0cd1d7e18b9f6d40f8e', 'width': 108}, {'height': 108, 'url': 'h... |
Mistral 7B gguf use cases for RAG and langchain | 1 | [removed] | 2023-10-02T02:20:59 | https://www.reddit.com/r/LocalLLaMA/comments/16xkijo/mistral_7b_gguf_use_cases_for_rag_and_langchain/ | ianuvrat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xkijo | false | null | t3_16xkijo | /r/LocalLLaMA/comments/16xkijo/mistral_7b_gguf_use_cases_for_rag_and_langchain/ | false | false | self | 1 | null |
Running [Crataco ]Pythia Deduped GGML on 4 GB Ram Laptop | 7 | Today i manage run pythia deduped ggml version on my device and want share what experience running it. for technicall note
Hardware: Acer Aspire 5
Ram : 4gb
GPU/proccesor: Amd radeon Athlon Silver
Tool use : Koboldcpp and SillyTavern as Chat interface
Quantized model version use : ggmlv3-pythia-1... | 2023-10-02T01:58:16 | https://www.reddit.com/r/LocalLLaMA/comments/16xk069/running_crataco_pythia_deduped_ggml_on_4_gb_ram/ | Merchant_Lawrence | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xk069 | false | null | t3_16xk069 | /r/LocalLLaMA/comments/16xk069/running_crataco_pythia_deduped_ggml_on_4_gb_ram/ | false | false | 7 | null | |
How to get LLama 2 70b 32k running locally with LongLora or otherwise? | 1 | [removed] | 2023-10-01T23:37:06 | https://www.reddit.com/r/LocalLLaMA/comments/16xgsxu/how_to_get_llama_2_70b_32k_running_locally_with/ | Marco_Ferreira43516 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xgsxu | false | null | t3_16xgsxu | /r/LocalLLaMA/comments/16xgsxu/how_to_get_llama_2_70b_32k_running_locally_with/ | false | false | self | 1 | null |
Really fast, but terrible responses with GPTQ models. | 20 | I recently grabbed a few models to test out on sillytavern, but every single GPTQ model i use gives me 1-3 second responses, and they are straight up garbage, regardless of what preset im using.
stuff like ZaraBlend (transformers) works just fine, but Mythalion, Pygmalion-8k-superhot, and Wizard-vicuna GPTQ models re... | 2023-10-01T23:21:09 | https://www.reddit.com/r/LocalLLaMA/comments/16xgetl/really_fast_but_terrible_responses_with_gptq/ | Count_Dankula666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xgetl | false | null | t3_16xgetl | /r/LocalLLaMA/comments/16xgetl/really_fast_but_terrible_responses_with_gptq/ | false | false | self | 20 | null |
llama-2 refuses to answer!!!! | 1 | Can you tell me any workaround if I get the following responses from llama-2 13b Chat?
'I apologize, but I cannot provide an answer to this question as the tweet contains harmful and inappropriate language. '
​
I am trying to classify a tweet text. | 2023-10-01T22:49:41 | https://www.reddit.com/r/LocalLLaMA/comments/16xflnt/llama2_refuses_to_answer/ | Awkward_Grab_6189 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xflnt | false | null | t3_16xflnt | /r/LocalLLaMA/comments/16xflnt/llama2_refuses_to_answer/ | false | false | self | 1 | null |
What are some open source models with the largest context windows? And how good are they? | 17 | I’m curious about good models for summarising entire papers, if possible | 2023-10-01T21:55:29 | https://www.reddit.com/r/LocalLLaMA/comments/16xe6h4/what_are_some_open_source_models_with_the_largest/ | Chance_Confection_37 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xe6h4 | false | null | t3_16xe6h4 | /r/LocalLLaMA/comments/16xe6h4/what_are_some_open_source_models_with_the_largest/ | false | false | self | 17 | null |
Merge and unmerge LoRA wights into GPTQ or AWQ quickly | 6 | Is there a way to merge LoRa weights into the GPTQ or AWQ quantized versions and achieve this in milliseconds?
I want to load multiple LoRA weights onto a single GPU and then merge them into a quantized version of Llama 2 based on the requests. Once the request is fulfilled (i.e., the model has generated an output),... | 2023-10-01T21:29:14 | https://www.reddit.com/r/LocalLLaMA/comments/16xdhu8/merge_and_unmerge_lora_wights_into_gptq_or_awq/ | Independent_Key1940 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xdhu8 | false | null | t3_16xdhu8 | /r/LocalLLaMA/comments/16xdhu8/merge_and_unmerge_lora_wights_into_gptq_or_awq/ | false | false | self | 6 | null |
CodeLlama-34b-Mistral-GGUF | 130 | Undi95 on HuggingFace may have made quite a breakthrough in frankensteining models.
[https://huggingface.co/Undi95](https://huggingface.co/Undi95)
He made a delta of the data between Mistral 7b 0.1 and Llama2 7b, used it as a source, and injected it on various target models.
[https://huggingface.co/Undi95/llama2-to-... | 2023-10-01T21:10:41 | https://www.reddit.com/r/LocalLLaMA/comments/16xczu1/codellama34bmistralgguf/ | Nexesenex | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xczu1 | false | null | t3_16xczu1 | /r/LocalLLaMA/comments/16xczu1/codellama34bmistralgguf/ | false | false | self | 130 | {'enabled': False, 'images': [{'id': 'mFIIL0hsjOIaOVH8q7cKlzxC6A2jTPzGGAI_cWbNs7c', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/457dwNe2vjdATnSO2XnJ3Lr1ntxEjrNvitJBLJxuWDE.jpg?width=108&crop=smart&auto=webp&s=1e89e254fe50a947dc5e8600eda9646eb7312b70', 'width': 108}, {'height': 116, 'url': 'h... |
Database/Index of fine tuned models with good tagging and searchability? | 4 | In the Stable Diffusion world, CivitAI has been amazing for finding new fine tuned models for a variety of tasks. I was looking for something similar but the most I could find was just Huggingface which has no ability to search via tags etc.
Have I just not been diligent enough in my search or is there really no widel... | 2023-10-01T20:29:33 | https://www.reddit.com/r/LocalLLaMA/comments/16xbx6g/databaseindex_of_fine_tuned_models_with_good/ | unconcious_insomnia | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16xbx6g | false | null | t3_16xbx6g | /r/LocalLLaMA/comments/16xbx6g/databaseindex_of_fine_tuned_models_with_good/ | false | false | self | 4 | null |
Running AWQ Models | 5 | Hey folks. I'm curious how people are running AWQ models for chat. I've been playing with vLLM but I'm running into a dependency conflict. Also, I would rather use something that has a web interface. Any tips would be appreciated! | 2023-10-01T18:52:47 | https://www.reddit.com/r/LocalLLaMA/comments/16x9d4d/running_awq_models/ | x0xxin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x9d4d | false | null | t3_16x9d4d | /r/LocalLLaMA/comments/16x9d4d/running_awq_models/ | false | false | self | 5 | null |
LangDiversity: software to identify LLM errors | 1 | [removed] | 2023-10-01T18:08:32 | https://www.reddit.com/r/LocalLLaMA/comments/16x86jx/langdiversity_software_to_identify_llm_errors/ | Neurosymbolic | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x86jx | false | {'oembed': {'author_name': 'Neuro Symbolic', 'author_url': 'https://www.youtube.com/@neurosymbolic', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/86J_K9mR7lw?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyr... | t3_16x86jx | /r/LocalLLaMA/comments/16x86jx/langdiversity_software_to_identify_llm_errors/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'ahtirqBqcBYDrk97DJdbcIziI7RYntyxNke0C6vWXg0', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/5h2TgNVImmuVXyR4MSxN9BmdjHnpMHUK-sHtsFdxR_M.jpg?width=108&crop=smart&auto=webp&s=70dcd6d53ce82d6c28546ad098cf46263f92ef3b', 'width': 108}, {'height': 162, 'url': 'h... | |
AI Engineering Survey - vote for r/LocalLLaMA | 1 | [removed] | 2023-10-01T18:00:38 | https://www.reddit.com/r/LocalLLaMA/comments/16x7yri/ai_engineering_survey_vote_for_rlocalllama/ | CombinationMother337 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x7yri | false | null | t3_16x7yri | /r/LocalLLaMA/comments/16x7yri/ai_engineering_survey_vote_for_rlocalllama/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'D0Qz6GxUPw1dPuXLNRj221_D47HtTlHnHoW9FmJjAB4', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/Vsq5TIPcAUVgpDjfvzNhxR4vCxDDGnUNgfvoncj7uL8.jpg?width=108&crop=smart&auto=webp&s=a01a193017c72b59da5100d567495545f7fa57b7', 'width': 108}, {'height': 121, 'url': 'h... |
AWQ vs GPTQ and some questions about training LoRAs | 13 | Hello everyone.
Looks like new type quantization, called AWQ, become widely available, and it raises several questions.
1. How fast are token generations against GPTQ with Exllama (Exllama2)?
2. Does this new quantization require less VRAM than GPTQ? Is it possible to run 70B model on 24GB GPU ?
3. How good it at kee... | 2023-10-01T17:34:54 | https://www.reddit.com/r/LocalLLaMA/comments/16x7b8p/awq_vs_gptq_and_some_questions_about_training/ | DaniyarQQQ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x7b8p | false | null | t3_16x7b8p | /r/LocalLLaMA/comments/16x7b8p/awq_vs_gptq_and_some_questions_about_training/ | false | false | self | 13 | null |
Will we ever be able to train a model locally without relying on big tech? | 29 | I would love to train a model on my personal data. I can see it helping me plan out my diet, my research, vacation plans, etc. But at the same time I would *never* trust ANY of that data with companies. I would also love to use it for personal/career projects which aren't any of big tech's business.
You guys think we'... | 2023-10-01T16:02:28 | https://www.reddit.com/r/LocalLLaMA/comments/16x4zr2/will_we_ever_be_able_to_train_a_model_locally/ | JebryyathHS | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x4zr2 | false | null | t3_16x4zr2 | /r/LocalLLaMA/comments/16x4zr2/will_we_ever_be_able_to_train_a_model_locally/ | false | false | self | 29 | null |
Home automation using Arduino ? | 5 | Is it i possible to send the replies from ooba to a telnet server, so I can trim them and broadcast them to various Arduino controller?
I want to use it to pilot relays, but if I ask something in the ooba webui, the reply is only send to the webui. | 2023-10-01T15:53:40 | https://www.reddit.com/r/LocalLLaMA/comments/16x4s0p/home_automation_using_arduino/ | ervertes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x4s0p | false | null | t3_16x4s0p | /r/LocalLLaMA/comments/16x4s0p/home_automation_using_arduino/ | false | false | self | 5 | null |
How to stop LLama 2 (13B) from starting each response with "Sure, I'd be happy to help" | 6 | I tried adjusting my prompt in multiple ways, if i tell it to stop saying something, it will tweak it a bit and use that instead, please help. | 2023-10-01T15:30:02 | https://www.reddit.com/r/LocalLLaMA/comments/16x4733/how_to_stop_llama_2_13b_from_starting_each/ | Radiant_Angle_161 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x4733 | false | null | t3_16x4733 | /r/LocalLLaMA/comments/16x4733/how_to_stop_llama_2_13b_from_starting_each/ | false | false | self | 6 | null |
How to use Madlad 400 LM and Machine translation model | 10 | Has anyone been able to use the MADLAD 400 multilingual models from Google? They are not available in hugging face and I was wondering how to use the weights in its github. It looks like they are decoder only models but I am not sure if AutomodelforCausalLLM can use them directly in transformers library. | 2023-10-01T15:10:57 | https://www.reddit.com/r/LocalLLaMA/comments/16x3q7f/how_to_use_madlad_400_lm_and_machine_translation/ | testerpce | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x3q7f | false | null | t3_16x3q7f | /r/LocalLLaMA/comments/16x3q7f/how_to_use_madlad_400_lm_and_machine_translation/ | false | false | self | 10 | null |
"IndexError: list index out of range" when trying to run TheBloke/WizardLM-1.0-Uncensored-Llama2-13B-GPTQ | 1 | [removed] | 2023-10-01T14:57:15 | https://www.reddit.com/r/LocalLLaMA/comments/16x3drv/indexerror_list_index_out_of_range_when_trying_to/ | TheHunter920 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x3drv | false | null | t3_16x3drv | /r/LocalLLaMA/comments/16x3drv/indexerror_list_index_out_of_range_when_trying_to/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'hB1RJx5Vne9EYODIDpH42zYg3_agwfeevk1qV4sqVlk', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/NRczRqEXtgLRr5IuFut8w_eEaCiX5WC0lM5VMaD_q-Q.jpg?width=108&crop=smart&auto=webp&s=a112fb39b29352ce5de6ad1ac29800e9d728989e', 'width': 108}, {'height': 162, 'url': 'h... |
Would going from 24 to 48GB of vram unlock access to many models or would I need to go higher to get any real difference? | 44 | I'm running 24GB card right now and have an opportunity to get another for a pretty good price used. I know SD and image stuff needs to be all on same card but llms can run on different cards even without nvlink.
Are there many models available at 48 GB that aren’t available to me at 24 GB basically is it worth doing ... | 2023-10-01T14:49:51 | https://www.reddit.com/r/LocalLLaMA/comments/16x376t/would_going_from_24_to_48gb_of_vram_unlock_access/ | Rollingsound514 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x376t | false | null | t3_16x376t | /r/LocalLLaMA/comments/16x376t/would_going_from_24_to_48gb_of_vram_unlock_access/ | false | false | self | 44 | null |
Article: Free Github copilot- code llama + vscode extension | 2 | 2023-10-01T14:33:03 | https://beginai.co/free-github-copilot-code-llama-continue-extension/ | bohemianLife1 | beginai.co | 1970-01-01T00:00:00 | 0 | {} | 16x2shs | false | null | t3_16x2shs | /r/LocalLLaMA/comments/16x2shs/article_free_github_copilot_code_llama_vscode/ | false | false | 2 | {'enabled': False, 'images': [{'id': 'G2L7mQ06TJYYEYg9o_gu7C7fh5j-7xTd5vLE2Fi8W44', 'resolutions': [{'height': 52, 'url': 'https://external-preview.redd.it/aXjaA1WWE1aOo-6PcC50CiuSLBKia6T8YkiElzrvrR0.jpg?width=108&crop=smart&auto=webp&s=07a36108951d0409a54b3c2c7aa6008c94303a16', 'width': 108}, {'height': 105, 'url': 'h... | ||
Related Communities | 1 | [removed] | 2023-10-01T14:00:46 | https://www.reddit.com/r/LocalLLaMA/comments/16x1z84/related_communities/ | Calm_List3479 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x1z84 | false | null | t3_16x1z84 | /r/LocalLLaMA/comments/16x1z84/related_communities/ | false | false | self | 1 | null |
cheap prebuilt box for holding at least 2 nvidia cards? | 2 | Can anyone suggest some prebuilt boxes that I could buy to host at least 2 nvidia cards? I want to host 3090s. I built a box before (7+ years ago for deep learning), but while it still works, it is very fragile and will sometimes just hang, I believe it has as faulty part somewhere and I tested it a lot. I never want... | 2023-10-01T13:58:08 | https://www.reddit.com/r/LocalLLaMA/comments/16x1wtb/cheap_prebuilt_box_for_holding_at_least_2_nvidia/ | stylizebot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x1wtb | false | null | t3_16x1wtb | /r/LocalLLaMA/comments/16x1wtb/cheap_prebuilt_box_for_holding_at_least_2_nvidia/ | false | false | self | 2 | null |
Is there a way to effectively prompt a model to "show, don't tell?" | 21 | I've been playing around with a lot of models that have put out some pretty top-notch writing (Euryale and Xwin 70b are recent big winners for me) except for the critical flaw in that they tend to tell me what a character is thinking directly instead of demonstrating it through the character's actions. I've tried a nu... | 2023-10-01T13:48:51 | https://www.reddit.com/r/LocalLLaMA/comments/16x1p2r/is_there_a_way_to_effectively_prompt_a_model_to/ | tenmileswide | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16x1p2r | false | null | t3_16x1p2r | /r/LocalLLaMA/comments/16x1p2r/is_there_a_way_to_effectively_prompt_a_model_to/ | false | false | self | 21 | null |
Local llm project | 0 | I'm trying to create a tool used for incorporating LLM locally such as oogabooga
Can anyone suggest a unique feature i can add to the tool that could be very useful | 2023-10-01T12:30:19 | https://www.reddit.com/r/LocalLLaMA/comments/16wzx0g/local_llm_project/ | privateX0XO | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wzx0g | false | null | t3_16wzx0g | /r/LocalLLaMA/comments/16wzx0g/local_llm_project/ | false | false | self | 0 | null |
Using a local LLaMA or Mistral to give context window of several programming files | 5 | I want to get feedback on refactoring python code across several files in a development environment. Is there any way to extend the context window to allow for this? | 2023-10-01T11:59:47 | https://www.reddit.com/r/LocalLLaMA/comments/16wzab4/using_a_local_llama_or_mistral_to_give_context/ | adlabco | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wzab4 | false | null | t3_16wzab4 | /r/LocalLLaMA/comments/16wzab4/using_a_local_llama_or_mistral_to_give_context/ | false | false | self | 5 | null |
CodeLLama with Langchain on Rpi, YES IT WORKS FINE. | 77 | 2023-10-01T11:42:40 | Purple_Session_6230 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 16wyyul | false | null | t3_16wyyul | /r/LocalLLaMA/comments/16wyyul/codellama_with_langchain_on_rpi_yes_it_works_fine/ | false | false | 77 | {'enabled': True, 'images': [{'id': 'ZkIat8Kmebdl0QS2ZWyPpDo9uOx5m8gdF-2dyHXomCM', 'resolutions': [{'height': 55, 'url': 'https://preview.redd.it/vhdcun8wukrb1.png?width=108&crop=smart&auto=webp&s=6a3ff1f735f0b11e43a0bf208f383c0b4bff2070', 'width': 108}, {'height': 110, 'url': 'https://preview.redd.it/vhdcun8wukrb1.png... | |||
basedUX dataset | 7 | basedUX is a minimal dataset conisting og 363 Human & Assitant dialogs respectively. Most dialogs in the dataset adheres to the BDI model, aiming for the assistant to understand, learn, and adapt in ways that resonate with human interactions and emotions.
Link : [https://huggingface.co/datasets/aloobun/basedUX](https:... | 2023-10-01T11:31:46 | https://www.reddit.com/r/LocalLLaMA/comments/16wyrrh/basedux_dataset/ | Roots91 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wyrrh | false | null | t3_16wyrrh | /r/LocalLLaMA/comments/16wyrrh/basedux_dataset/ | false | false | self | 7 | {'enabled': False, 'images': [{'id': 'q4XtGE5WWbBh2ejh7K-GDwYFA4sqj82y-ws3gopKer4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/XyzRHl2vzdhzwdO-Ml0PIKU41md-VblHpUFsrj-tp1k.jpg?width=108&crop=smart&auto=webp&s=690ceee91d5a0271675da78ac4579e8c8d0e4879', 'width': 108}, {'height': 116, 'url': 'h... |
Guides/Resources to prepare data for LLM finetuning? | 12 | Is anyone aware of any helpful resources (guides/libraries/etc) to assist with preparing unstructured data for LLM fine-tuning?
I have a large repository of domain-specific PDFs (thousands, along with some other far less prevalent filetypes) to work with.
While I could certainly extract the text myself and break into... | 2023-10-01T11:24:27 | https://www.reddit.com/r/LocalLLaMA/comments/16wymzv/guidesresources_to_prepare_data_for_llm_finetuning/ | aeapf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wymzv | false | null | t3_16wymzv | /r/LocalLLaMA/comments/16wymzv/guidesresources_to_prepare_data_for_llm_finetuning/ | false | false | self | 12 | null |
Does Langchain’s `create_csv_agent` and `create_pandas_dataframe_agent` functions work with non-OpenAl LLMs | 1 | Hey guys, have a question hoping if anyone knows the answer and can help.
Does Langchain's `create_csv_agent` and `create_pandas_dataframe_agent` functions work with non-OpenAl LLM models too like Llama
2 and Vicuna? The only example I have seen in the documentation (in the links below) are only using OpenAI API.
`cr... | 2023-10-01T09:51:06 | https://www.reddit.com/r/LocalLLaMA/comments/16wx0fp/does_langchains_create_csv_agent_and_create/ | redd-dev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wx0fp | false | null | t3_16wx0fp | /r/LocalLLaMA/comments/16wx0fp/does_langchains_create_csv_agent_and_create/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'C1O5S5WQ2zql4CQHBQC5FMwveJdPtaJ9r_xGWbzu48o', 'resolutions': [{'height': 59, 'url': 'https://external-preview.redd.it/iPPakYyMaTILXRW_82lqRAY0kjEFVZd46xhgVsuvUQE.jpg?width=108&crop=smart&auto=webp&s=4806821b19a384d8270fee66e851537817cdac4e', 'width': 108}, {'height': 118, 'url': 'h... |
Multimodal-LLM could be de-aligned with visual prompting too. Here is an example how I asked Bong to read the captcha | 360 | 2023-10-01T09:37:19 | https://www.reddit.com/gallery/16wwsc0 | Shir_man | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 16wwsc0 | false | null | t3_16wwsc0 | /r/LocalLLaMA/comments/16wwsc0/multimodalllm_could_be_dealigned_with_visual/ | false | false | 360 | null | ||
Fine-tuning llama model foe grammar and spelling correction | 9 | Hi everyone,
I want to train a llama 2 model which can check grammatical and spelling errors in a sentence...
Initially I tried the 13b model to test how it works...
well it worked well on simple English sentences.... however when I gave it a domain specific question, suppose a history question e.g who were the gret In... | 2023-10-01T07:16:34 | https://www.reddit.com/r/LocalLLaMA/comments/16wuhnd/finetuning_llama_model_foe_grammar_and_spelling/ | Slow-Associate-127 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wuhnd | false | null | t3_16wuhnd | /r/LocalLLaMA/comments/16wuhnd/finetuning_llama_model_foe_grammar_and_spelling/ | false | false | self | 9 | null |
Best developing country LLM? | 13 | I’m thinking about educating some folks on AI next trip I take to a developing country. Clearly they would need a cpu only / no internet model. I’m thinking GPT4ALL and perhaps a small quantized model that can run on cpu only.
What would you recommend for model / technology and any other recommendations for educating... | 2023-10-01T06:59:40 | https://www.reddit.com/r/LocalLLaMA/comments/16wu7lm/best_developing_country_llm/ | revolved | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wu7lm | false | null | t3_16wu7lm | /r/LocalLLaMA/comments/16wu7lm/best_developing_country_llm/ | false | false | self | 13 | null |
(quantized Module) How to correctly download quantized Module ? Are the more bigger size better the result ? | 3 | 2023-10-01T06:19:48 | https://www.reddit.com/gallery/16wtjks | Merchant_Lawrence | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 16wtjks | false | null | t3_16wtjks | /r/LocalLLaMA/comments/16wtjks/quantized_module_how_to_correctly_download/ | false | false | 3 | null | ||
I finetuned on Sam Altman and Paul Graham's blog posts, I'm pretty happy with the results | 7 | 2023-10-01T05:11:20 | Chance_Confection_37 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 16wscrm | false | null | t3_16wscrm | /r/LocalLLaMA/comments/16wscrm/i_finetuned_on_sam_altman_and_paul_grahams_blog/ | false | false | 7 | {'enabled': True, 'images': [{'id': '5dAG03ZBAnuZFQ2EIwuRIKG2B9XLL_IqBjLj4L31hSc', 'resolutions': [{'height': 52, 'url': 'https://preview.redd.it/0njfhsu8yirb1.png?width=108&crop=smart&auto=webp&s=76e1f0bde8a4d3aaaf3139b866eeb4212b23d6d2', 'width': 108}, {'height': 104, 'url': 'https://preview.redd.it/0njfhsu8yirb1.png... | |||
"Successful" Run of pygmalion-1.3b.q4_1 on 4gb Ram Acer Windows 10 Laptop | 25 | 2023-10-01T04:25:10 | Merchant_Lawrence | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 16wrip4 | false | null | t3_16wrip4 | /r/LocalLLaMA/comments/16wrip4/successful_run_of_pygmalion13bq4_1_on_4gb_ram/ | false | false | 25 | {'enabled': True, 'images': [{'id': 'i20grV0W4G9CguAFLK8sczSAShlWTN_RJaqpERkHxQQ', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/e6od2gf3qirb1.png?width=108&crop=smart&auto=webp&s=6277f60c50132bf68b94f8927183bce1bf440d84', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/e6od2gf3qirb1.png... | |||
Does anyone want to design a low-cost single-board computer for model training and inference? | 0 | Can anyone try to design an open source single board computer with integrated memory and computing?
I can start a github project for those who should be able to design a single board computer.
ps: I'm not good at this kind of design and programming. | 2023-10-01T03:25:30 | https://www.reddit.com/r/LocalLLaMA/comments/16wqe2t/does_anyone_want_to_design_a_lowcost_singleboard/ | Mean_Language_3482 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wqe2t | false | null | t3_16wqe2t | /r/LocalLLaMA/comments/16wqe2t/does_anyone_want_to_design_a_lowcost_singleboard/ | false | false | self | 0 | null |
Is there a way to force output length smaller than x number of tokens w/o cut-off? | 5 | ‘max_tokens’ parameter seems to stop generation after the value but this leads to sentences being cut off. Is there a way to generate a complete output of under x number of tokens which is not incomplete?
Thanks! | 2023-10-01T01:47:54 | https://www.reddit.com/r/LocalLLaMA/comments/16wofiw/is_there_a_way_to_force_output_length_smaller/ | RepresentativeOdd276 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wofiw | false | null | t3_16wofiw | /r/LocalLLaMA/comments/16wofiw/is_there_a_way_to_force_output_length_smaller/ | false | false | self | 5 | null |
24 updated comparisons with 2-bit through 8-bit, AWQ, and GGUF vs GGML to test how quantization affects model output | 67 | I hit the rentry character limit so I had to split it up into two parts for each
GGUF part 1 [https://rentry.org/quants\_gguf](https://rentry.org/quants_gguf)
GGUF part 2 [https://rentry.org/quants\_gguf\_part2](https://rentry.org/quants_gguf_part2)
GGML part 1 [https://rentry.org/quants](https://rentry.org/quants)
... | 2023-10-01T01:46:10 | https://www.reddit.com/r/LocalLLaMA/comments/16woe95/24_updated_comparisons_with_2bit_through_8bit_awq/ | GrapeCharacter2747 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16woe95 | false | null | t3_16woe95 | /r/LocalLLaMA/comments/16woe95/24_updated_comparisons_with_2bit_through_8bit_awq/ | false | false | self | 67 | {'enabled': False, 'images': [{'id': 'b1E8sI-kTet-3YOFKrYAUVQ9ABbay60W7WEBpTM34S8', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/sld18DTFrG0vgxxCwlYEGWKS7hjSXmQsKHgNjUEATAk.jpg?width=108&crop=smart&auto=webp&s=5f7d74321748816977c2c47d74607125fd510a17', 'width': 108}, {'height': 216, 'url': '... |
Perplexity Testing Mac vs Windows Pt 4: CPU test time. Results continue to point to a fundamental difference of Metal inference | 27 | [Part 3](https://www.reddit.com/r/LocalLLaMA/comments/16usja8/perplexity_testing_mac_vs_windows_pt_3_adding/)
tl;dr- Today's test was against a 7b comparing first CPU perplexity and then GPU perplexity, followed by a Q/A using CPU inference only. Unlike yesterday's Q/A of CUDA vs Metal, **the CPU inference Q/A tests c... | 2023-10-01T01:42:51 | https://www.reddit.com/r/LocalLLaMA/comments/16wobnx/perplexity_testing_mac_vs_windows_pt_4_cpu_test/ | LearningSomeCode | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wobnx | false | null | t3_16wobnx | /r/LocalLLaMA/comments/16wobnx/perplexity_testing_mac_vs_windows_pt_4_cpu_test/ | false | false | self | 27 | {'enabled': False, 'images': [{'id': 'Vl4mQ8Z2VWTGgRicNK34_JKccepoJvrZPtVq1rc9mqU', 'resolutions': [{'height': 72, 'url': 'https://external-preview.redd.it/gyeyfXdCLxr_OP2q854eH-jyxFg0eD3dlWyAUCRGQy0.jpg?width=108&crop=smart&auto=webp&s=16ac29c582172a41c76ceb0fdab8a8361126ce5d', 'width': 108}, {'height': 144, 'url': 'h... |
24 updated comparisons with 2-bit through 8-bit, AWQ, and GGUF vs GGML to test how quantization affects model output | 1 | [removed] | 2023-10-01T00:40:23 | https://www.reddit.com/r/LocalLLaMA/comments/16wmztc/24_updated_comparisons_with_2bit_through_8bit_awq/ | GrapeCharacter2746 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wmztc | false | null | t3_16wmztc | /r/LocalLLaMA/comments/16wmztc/24_updated_comparisons_with_2bit_through_8bit_awq/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'b1E8sI-kTet-3YOFKrYAUVQ9ABbay60W7WEBpTM34S8', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/sld18DTFrG0vgxxCwlYEGWKS7hjSXmQsKHgNjUEATAk.jpg?width=108&crop=smart&auto=webp&s=5f7d74321748816977c2c47d74607125fd510a17', 'width': 108}, {'height': 216, 'url': '... |
Local sugar | 1 | [removed] | 2023-10-01T00:06:14 | https://www.reddit.com/r/LocalLLaMA/comments/16wm8tf/local_sugar/ | Glittering-Driver-39 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wm8tf | false | null | t3_16wm8tf | /r/LocalLLaMA/comments/16wm8tf/local_sugar/ | false | false | self | 1 | null |
Is there a way to extract text generated from Alpaca in chat.exe onto a text file in order to use it elsewhere? | 1 | Alpaca's instruct format is surprisingly good for what it is and I would like to use its text output to generate dialogue but I don't know if its possible to do that since the whole program is run in chat.exe. Anyone know how to do this or if its even possible? I tried messing around with the llama.cpp source code but ... | 2023-09-30T23:27:42 | https://www.reddit.com/r/LocalLLaMA/comments/16wlcwy/is_there_a_way_to_extract_text_generated_from/ | swagonflyyyy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wlcwy | false | null | t3_16wlcwy | /r/LocalLLaMA/comments/16wlcwy/is_there_a_way_to_extract_text_generated_from/ | false | false | self | 1 | null |
Inference on seq_len > 8k | 4 | Hi folks, I have two 24GB 3090s available and I want to evaluate Llama 7b for various long-context tasks.
Till now I am only able to evaluate a context length of 8,192 (using only one GPU, 4bit quantization + flash attention with Llama-7B) but I want to make my code compatible with context lengths much longer than... | 2023-09-30T23:26:37 | https://www.reddit.com/r/LocalLLaMA/comments/16wlbzk/inference_on_seq_len_8k/ | vijetakd | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wlbzk | false | null | t3_16wlbzk | /r/LocalLLaMA/comments/16wlbzk/inference_on_seq_len_8k/ | false | false | self | 4 | null |
What LLM can I run on this HW? | 0 | The question is very simple I want to test drive something similar to Character.AI locally
My hardware specs:
Proxmox 8.0 box
2x Intel Xeon X5650 12c/24t (25% in use already)
192GB RAM (between 64/96GB usable)
4x 1TB RAID0
I have tried running certain models like Pygmalion2 7B 4bit from huggingface but the inferenc... | 2023-09-30T22:22:24 | https://www.reddit.com/r/LocalLLaMA/comments/16wjry8/what_llm_can_i_run_on_this_hw/ | ultrahkr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wjry8 | false | null | t3_16wjry8 | /r/LocalLLaMA/comments/16wjry8/what_llm_can_i_run_on_this_hw/ | false | false | self | 0 | null |
How do you account for varying llm output with multiple choice questions? | 5 | I'm confused around how benchmarks like hellaswag, anli know that an llm has chosen the correct answer.
For example, take this question:
```
There are three sisters in a room alone. Anna is reading a book. Alice is playing a game called Zonda. Zonda requires two people to play it. What is the third sister, Amanda, m... | 2023-09-30T20:57:24 | https://www.reddit.com/r/LocalLLaMA/comments/16whnun/how_do_you_account_for_varying_llm_output_with/ | Zyguard7777777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16whnun | false | null | t3_16whnun | /r/LocalLLaMA/comments/16whnun/how_do_you_account_for_varying_llm_output_with/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'P2HGX8FBu9injyXrd07ad3WwxLVueqb1A2o52FLQzLk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/8gTozi81NK4E_ZTk09u25j5kk1H1N8uuU_Y0mdl0lKM.jpg?width=108&crop=smart&auto=webp&s=89fad5c604431f0e37b13e9f83387d5bb0760895', 'width': 108}, {'height': 108, 'url': 'h... |
Changing swappiness helps even if you have a lot of RAM | 5 | I am using Linux, llama.cpp, CPU and RAM without GPU. The default value swappiness=60 causes the memory in swap, even if it is less than half occupied and the model starts to slow down a lot. Changing this value to swappiness=10 gives stable performance. This may be important for those who need swap for hibernate.
Ho... | 2023-09-30T20:40:20 | https://www.reddit.com/r/LocalLLaMA/comments/16wh9fd/changing_swappiness_helps_even_if_you_have_a_lot/ | nihnuhname | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wh9fd | false | null | t3_16wh9fd | /r/LocalLLaMA/comments/16wh9fd/changing_swappiness_helps_even_if_you_have_a_lot/ | false | false | self | 5 | null |
Elon Musk announced a huge give away for Bitcoins, limited time. | 15 | 2023-09-30T20:35:26 | Amazed_Alloy | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 16wh571 | false | null | t3_16wh571 | /r/LocalLLaMA/comments/16wh571/elon_musk_announced_a_huge_give_away_for_bitcoins/ | false | false | 15 | {'enabled': True, 'images': [{'id': 'soO_dzldA1k7KVEuZw7tn2gx_CZ97rCwL1Q5pmjxWjs', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/ncsz5txaegrb1.gif?width=108&crop=smart&format=png8&s=1b4f1cbe87d3e70682189bd26afdaee8001422fb', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/ncsz5txaegrb1.... | |||
Changing swappeness helps even if you have a lot of RAM | 1 | I am using Linux, llama.cpp and RAM with CPU only (without GPU). Although some models take up little memory space, but the system with default value of swappiness=60 started to gradually use swap. I changed the value to swappiness=10 and the models started to run consistently faster. I hope this helps someone. | 2023-09-30T20:25:57 | https://www.reddit.com/r/LocalLLaMA/comments/16wgwwy/changing_swappeness_helps_even_if_you_have_a_lot/ | nihnuhname | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wgwwy | false | null | t3_16wgwwy | /r/LocalLLaMA/comments/16wgwwy/changing_swappeness_helps_even_if_you_have_a_lot/ | false | false | self | 1 | null |
Can't tell why the Llama 2 is running on the GPU | 7 | I am new to running models locally. Recently I downloaded llama-2-13b-chat.ggmlv3.q6\_K.bin
***My PC params:***
|**GPU**|Nvidia GeForce 3090|
|:-|:-|
|**Processor**|AMD Ryzen Threadripper 3970X 32-Core Processor, 3901 Mhz, 32 Core(s), 64 Logical Processor(s)|
|**Motherboard**|ROG STRIX TRX40-E GAMING|
|**RAM**|256GB... | 2023-09-30T20:14:58 | https://www.reddit.com/r/LocalLLaMA/comments/16wgn01/cant_tell_why_the_llama_2_is_running_on_the_gpu/ | Amazing-Protection87 | self.LocalLLaMA | 2023-09-30T20:20:49 | 0 | {} | 16wgn01 | false | null | t3_16wgn01 | /r/LocalLLaMA/comments/16wgn01/cant_tell_why_the_llama_2_is_running_on_the_gpu/ | false | false | 7 | null | |
What is the best LLM for a 24gb Card? | 49 | I just bought a 3090 and i want to test some good models wich would be the best for assistent purposes like asking when napolen was born or basic knowledge questions (uncensored would also be good but not that big of a point for me)
i dont want to test to many models because my internet is so slow that i need half a ... | 2023-09-30T19:51:55 | https://www.reddit.com/r/LocalLLaMA/comments/16wg32h/what_is_the_best_llm_for_a_24gb_card/ | Otherwise_Weather_57 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wg32h | false | null | t3_16wg32h | /r/LocalLLaMA/comments/16wg32h/what_is_the_best_llm_for_a_24gb_card/ | false | false | self | 49 | null |
Interpret Llama.cpp embeddings | 9 | Llama.cpp is working very well for me and I've just started running the server and using the API endpoints. In particular I'm interested in using /embedding. Again, it works really well and I can send sentences and get back a vector.
In other applications I retrieve last\_hidden\_state, and that is a vector fo... | 2023-09-30T19:51:34 | https://www.reddit.com/r/LocalLLaMA/comments/16wg2qw/interpret_llamacpp_embeddings/ | Simusid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wg2qw | false | null | t3_16wg2qw | /r/LocalLLaMA/comments/16wg2qw/interpret_llamacpp_embeddings/ | false | false | self | 9 | null |
Need some help to build characters with chat models, how do I make villans/bad guys? | 8 | I've been playing with a few models from huggingface. I'm having better luck with the chat focused models rather than the instructional based. Adding character prompts in systems prompt.
I have some **good characters** that I wrote out that act as expected using most of the model, guardrails work with these. But I ... | 2023-09-30T19:44:13 | https://www.reddit.com/r/LocalLLaMA/comments/16wfwcb/need_some_help_to_build_characters_with_chat/ | Touch-of-the-Tisms | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wfwcb | false | null | t3_16wfwcb | /r/LocalLLaMA/comments/16wfwcb/need_some_help_to_build_characters_with_chat/ | false | false | self | 8 | null |
Does more RAM help? | 2 | Not talking about GPU's Vram but rather motherboard RAM. I already have 128gb RAM and was wondering if doubling that to 256gb for another $300 is worth it. TY
​
​ | 2023-09-30T19:31:38 | https://www.reddit.com/r/LocalLLaMA/comments/16wflfm/does_more_ram_help/ | Infamous_Charge2666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wflfm | false | null | t3_16wflfm | /r/LocalLLaMA/comments/16wflfm/does_more_ram_help/ | false | false | self | 2 | null |
Best way to run local LLaMa for interrogating my own docs on Windows 11 | 6 | I have been trying to run a local Llama to interrogate my own documents but I'm not having much luck. I can't get my GPU to be recognised and when I do interrogate my documents the responses cut out.
I have Windows 11 with a 4090 GPU but I can't seem to get PrivateGPT or Chatdocs to activate the GPU. I've followed all... | 2023-09-30T19:12:18 | https://www.reddit.com/r/LocalLLaMA/comments/16wf4vl/best_way_to_run_local_llama_for_interrogating_my/ | Britlantine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wf4vl | false | null | t3_16wf4vl | /r/LocalLLaMA/comments/16wf4vl/best_way_to_run_local_llama_for_interrogating_my/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'djexa4PJ9iUjXvx60xrnf3IHh_H2pWet80I9o75_p4k', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/2x1CtrggUuSAVjz9LVWGBB27jU-mBBFr5sZNWYxANIg.jpg?width=108&crop=smart&auto=webp&s=73da62b312ed193875106d4e0e3f7d00f82d93e4', 'width': 108}, {'height': 108, 'url': 'h... |
GGML BNF Grammar: The Key to Autonomous Agents ? | 20 | I wondered why we don't hear more about output constraining method for LLMs.
I've trying out various methods like LMQL, guidance, and GGML BNF Grammar in llama.cpp.
LMQL is so slow. Guidance is alright, but development seems sluggish. GGML BNF Grammar in llama.cpp works like a charm. Even with llama-2-7B, it can d... | 2023-09-30T19:11:11 | https://www.reddit.com/r/LocalLLaMA/comments/16wf3w5/ggml_bnf_grammar_the_key_to_autonomous_agents/ | Similar_Tea_8349 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wf3w5 | false | null | t3_16wf3w5 | /r/LocalLLaMA/comments/16wf3w5/ggml_bnf_grammar_the_key_to_autonomous_agents/ | false | false | self | 20 | null |
Fine tuning Llama2 7B Chat version | 1 | Anyone tried to finetune 7B chat model in multiple iterations? I have a VM that has a limit of 6 hours and model training duration is going over 6 so i was planning to breakm, save, load and retrain the model. Considering there is no config.json present in base model or when saving the model it has become impossible to... | 2023-09-30T19:06:00 | https://www.reddit.com/r/LocalLLaMA/comments/16wezej/fine_tuning_llama2_7b_chat_version/ | Optimal_Original_815 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 16wezej | false | null | t3_16wezej | /r/LocalLLaMA/comments/16wezej/fine_tuning_llama2_7b_chat_version/ | false | false | self | 1 | null |
Current state of the iOS App I’m working on. Interact with text-generation-webui and your your local llms from everywhere. What features would you like to see implemented? | 63 | It’s work in progress and I’m calling for feedback and collect wishes/ideas for features you want to see implemented. AMA | 2023-09-30T19:04:41 | https://v.redd.it/1zpudsl3yfrb1 | frapastique | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 16weyas | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/1zpudsl3yfrb1/DASHPlaylist.mpd?a=1698692693%2CN2NjMjcwOGJmMzc0Yjk2YmNlOTA1MDliMWYxZjA4ZDkwNTZhODM1NTc1ZThkMWFiMTFhYjExMDY5N2Y0Yzc5NQ%3D%3D&v=1&f=sd', 'duration': 59, 'fallback_url': 'https://v.redd.it/1zpudsl3yfrb1/DASH_720.mp4?source=fallback', 'he... | t3_16weyas | /r/LocalLLaMA/comments/16weyas/current_state_of_the_ios_app_im_working_on/ | false | false | 63 | {'enabled': False, 'images': [{'id': 'xGNI0ldHivYLUPrqHVfNqYMo-TLIpNC4o9a-0bKhdRg', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/dIivobx_JNd2s007cXY-vwvl-vOBcJ4E6R3GKrWEbEQ.png?width=108&crop=smart&format=pjpg&auto=webp&s=21f8052612b5f2b7a49448eac819e57b8c4c2c8d', 'width': 108}, {'height': 4... |
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