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How do I NVLINK 3090's, and is it worth it? | 3 | Hello,
I want to run 70b models fast.
I have 2 3090's: 1 is a PNY the other an ASUS.
My board is an ASUS TUF GAMING B650-PLUS:
[https://www.asus.com/motherboards-components/motherboards/tuf-gaming/tuf-gaming-b650-plus/](https://www.asus.com/motherboards-components/motherboards/tuf-gaming/tuf-gaming-b650-plus/)... | 2024-02-18T22:16:18 | https://www.reddit.com/r/LocalLLaMA/comments/1au6lo9/how_do_i_nvlink_3090s_and_is_it_worth_it/ | TopeQuant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au6lo9 | false | null | t3_1au6lo9 | /r/LocalLLaMA/comments/1au6lo9/how_do_i_nvlink_3090s_and_is_it_worth_it/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'jxSo31p8grDnD7fKRAwLz4D9yAafihZ8fZJg5ANqDs4', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/FLAWSqbDTbDciHsR4Gk8XXVKEnp1LpaZM-ltQ-AWqKw.jpg?width=108&crop=smart&auto=webp&s=0d1f07ee01b3266d9abd2d297861aa17efd21e06', 'width': 108}, {'height': 216, 'url': '... |
RAG: Making multiple calls to LLMs | 2 | Let's consider a standard RAG (Retrieval-Augmented Generation) system. Suppose the prompt to an LLM says something like, "Don't make up stuff that is not presented in the text chunks below. If you didn't find information in the chunks below, respond with 'NO ANSWER FOUND.'" One of the metrics that would serve as a good... | 2024-02-18T21:43:11 | https://www.reddit.com/r/LocalLLaMA/comments/1au5rx6/rag_making_multiple_calls_to_llms/ | Impressive_Falcon706 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au5rx6 | false | null | t3_1au5rx6 | /r/LocalLLaMA/comments/1au5rx6/rag_making_multiple_calls_to_llms/ | false | false | self | 2 | null |
What are the differences/similarities between Llama 7B, 13B and 70B? | 8 | I'm pretty new to this. Besides the obvious count of parameters, what are the differences / similarities between the models?
Where are the extra parameters coming from? Extra attention layers?
Are the token embedding layers the same?
It's my understanding that they were trained independently of each other on the s... | 2024-02-18T21:38:28 | https://www.reddit.com/r/LocalLLaMA/comments/1au5nld/what_are_the_differencessimilarities_between/ | Equal_Newspaper_1000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au5nld | false | null | t3_1au5nld | /r/LocalLLaMA/comments/1au5nld/what_are_the_differencessimilarities_between/ | false | false | self | 8 | null |
I created a single-prompt benchmark (with 5-questions) that anyone can use to easily evaluate LLMs. Mistral-Next somehow vastly outperformed all others. Prompt and more details in the post. | 58 | First, here are the results:
|**Model**|**Intermediary Scores**|**Final Score**|
|:-|:-|:-|
|Mistal-Next|1+2+2+3+2|10/25|
|Mistral Medium|1+1+1+1+1|5/25|
|mixtral-8x7b-instruct-v0.1|1+1+1+1+1|5/25|
|GPT-4|0+1+0+0+2|4/25|
|miqu 70B Q4\_K\_M|1+1+1+0+1|4/25|
|Mistral 7b Instruct 0.2|0+0+0+1+1|2/25|
|qwen1.5-72b-chat|1+0+... | 2024-02-18T21:03:14 | https://www.reddit.com/r/LocalLLaMA/comments/1au4s0k/i_created_a_singleprompt_benchmark_with/ | jd_3d | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au4s0k | false | null | t3_1au4s0k | /r/LocalLLaMA/comments/1au4s0k/i_created_a_singleprompt_benchmark_with/ | false | false | self | 58 | null |
Are there any current LLM models that can play strategy games, like tic-tac-toe or chess, which require thinking one step ahead? | 1 | Hi, I'm on the lookout for an LLM model that demonstrates strong reasoning abilities. I'm currently evaluating them using the following scenario:
"Let's play a game with these rules: there are two players, and a score starts at 0. On each turn, a player can add either 1, 2, or 3 to the score. The objective is to be th... | 2024-02-18T20:36:12 | https://www.reddit.com/r/LocalLLaMA/comments/1au443k/are_there_any_current_llm_models_that_can_play/ | mshautsou | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au443k | false | null | t3_1au443k | /r/LocalLLaMA/comments/1au443k/are_there_any_current_llm_models_that_can_play/ | false | false | self | 1 | null |
Are there any LLM play strategy games (Like Tic-Tac-Toe or Chess) that require thinking one step ahead? | 1 | Hi, I'm on the lookout for an LLM model that demonstrates strong reasoning abilities. I'm currently evaluating them using the following scenario:
"Let's play a game with these rules: there are two players, and a score starts at 0. On each turn, a player can add either 1, 2, or 3 to the score. The objective is to be th... | 2024-02-18T20:32:43 | https://www.reddit.com/r/LocalLLaMA/comments/1au40w8/are_there_any_llm_play_strategy_games_like/ | mshautsou | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au40w8 | false | null | t3_1au40w8 | /r/LocalLLaMA/comments/1au40w8/are_there_any_llm_play_strategy_games_like/ | false | false | self | 1 | null |
I created a single-prompt benchmark (with 5-questions) that anyone can use to easily evaluate LLMs. Mistral-Next somehow vastly outperformed all others. Extensive details in the post. | 0 | First, here are the results:
|**Model**|**Intermediary Scores**|**Final Score**|
|:-|:-|:-|
|Mistal-Next|1+2+2+3+2|10/25|
|Mistral Medium|1+1+1+1+1|5/25|
|mixtral-8x7b-instruct-v0.1|1+1+1+1+1|5/25|
|GPT-4|0+1+0+0+2|4/25|
|miqu 70B Q4\_K\_M|1+1+1+0+1|4/25|
|Mistral 7b Instruct 0.2|0+0+0+1+1|2/25|
|qwen1.5-72b-chat|1+0+... | 2024-02-18T20:32:33 | https://www.reddit.com/r/LocalLLaMA/comments/1au40qm/i_created_a_singleprompt_benchmark_with/ | jd_3d | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au40qm | false | null | t3_1au40qm | /r/LocalLLaMA/comments/1au40qm/i_created_a_singleprompt_benchmark_with/ | false | false | self | 0 | null |
Anyone looked into Ollama python libraries? | 2 | Context: I am new to this and very ignorant so I've been trying a few things on my little laptop (macbookAir 8gb ram) and as you can imagine run into a lot of barriers.
I tried running autogen, crewAI, making my own scripts, and also just calling the collection of Ollama models on my laptop with different success ... | 2024-02-18T20:18:16 | https://www.reddit.com/r/LocalLLaMA/comments/1au3ntg/anyone_looked_into_ollama_python_libraries/ | Elses_pels | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au3ntg | false | null | t3_1au3ntg | /r/LocalLLaMA/comments/1au3ntg/anyone_looked_into_ollama_python_libraries/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '_KrMl-OT7L3lpUgST3Wm8AAwekLvGLxYkKdFrOwuQ84', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ZqKEDvVcSrjhFFAUrVoVoHTX-3QjgvQkEtSnnHPUvC0.jpg?width=108&crop=smart&auto=webp&s=2ce0395a902dbb09d4548890faeba63e79312809', 'width': 108}, {'height': 108, 'url': 'h... |
🤯 My Experience Running Ollama Windows Preview: 8x slower than docker! | 1 | [removed] | 2024-02-18T20:11:40 | https://www.reddit.com/r/LocalLLaMA/comments/1au3hwy/my_experience_running_ollama_windows_preview_8x/ | chibop1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au3hwy | false | null | t3_1au3hwy | /r/LocalLLaMA/comments/1au3hwy/my_experience_running_ollama_windows_preview_8x/ | false | false | self | 1 | null |
How jank is too jank? | 234 | Could not find a way to fit this inside. The second 3090 in the case is sitting free with a rubber tab holding it up from the front to let the fans get fresh air.
Has anyone been able to fit 3 air cooled 3090s in a case? Preferably with consumer/prosumer platforms? Looking for ideas. I remember seeing a pic like that... | 2024-02-18T19:50:04 | https://www.reddit.com/gallery/1au2ypg | hedonihilistic | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1au2ypg | false | null | t3_1au2ypg | /r/LocalLLaMA/comments/1au2ypg/how_jank_is_too_jank/ | false | false | 234 | null | |
New AI Builder Meetup in Austin Texas - LocalLLama'ers come out! | 2 | 2024-02-18T19:40:53 | https://www.meetup.com/austin-ai-startups-hackers/events/299262051/ | trumpza | meetup.com | 1970-01-01T00:00:00 | 0 | {} | 1au2qs1 | false | null | t3_1au2qs1 | /r/LocalLLaMA/comments/1au2qs1/new_ai_builder_meetup_in_austin_texas/ | false | false | 2 | {'enabled': False, 'images': [{'id': 'KkMvvfmT1553m3yJCDUreLuFZVjdgKlGGwE1g2u4JvM', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/heFnnhS2NXZCJu2Z7m57kqcIo-KvAmcC8tRcyrmEKAA.jpg?width=108&crop=smart&auto=webp&s=0e62cbdcee4dcef11003086c283ac2239a58192f', 'width': 108}, {'height': 123, 'url': 'h... | ||
The first generative state-of-the-art AI created for the Bulgarian government, users, public and private organizations. | 18 | 2024-02-18T19:31:23 | https://huggingface.co/INSAIT-Institute/BgGPT-7B-Instruct-v0.1 | svetlio2 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1au2ig9 | false | null | t3_1au2ig9 | /r/LocalLLaMA/comments/1au2ig9/the_first_generative_stateoftheart_ai_created_for/ | false | false | 18 | {'enabled': False, 'images': [{'id': '0twp3K1qxNJ7xV-a81EGXHInZ9yPBYe-icfA4G5ym3Y', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/dDP9nZemFddUImDc_9mQ1JGauhrsk-d8oqqFaDLxg7I.jpg?width=108&crop=smart&auto=webp&s=6e0f13499388649ac657a5da58436a0d0842f553', 'width': 108}, {'height': 116, 'url': 'h... | ||
Tools for LLM deployment and distribution | 6 | New to this field. Seeking for the tools that are commonly used for deploying, integrating and distributing llm models (or ml models in general).
Like what's the trajectory after the model has been trained by ml researchers. What is the pipeline after that ?
I have found this [https://deepchecks.com/llm-evaluation/... | 2024-02-18T19:26:20 | https://www.reddit.com/r/LocalLLaMA/comments/1au2dpq/tools_for_llm_deployment_and_distribution/ | UpvoteBeast | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au2dpq | false | null | t3_1au2dpq | /r/LocalLLaMA/comments/1au2dpq/tools_for_llm_deployment_and_distribution/ | false | false | self | 6 | null |
Sem Score - Maybe the answer to RAG evaluation. (also LLM evaluation) | 1 | [removed] | 2024-02-18T19:01:38 | https://www.reddit.com/r/LocalLLaMA/comments/1au1rin/sem_score_maybe_the_answer_to_rag_evaluation_also/ | jeffrey-0711 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au1rin | false | null | t3_1au1rin | /r/LocalLLaMA/comments/1au1rin/sem_score_maybe_the_answer_to_rag_evaluation_also/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'BQzoBB6_4xiejoqzFYQia5EdGQ7Y1RPwypZvkR2SJb4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Dm4930IFHEQ5xDEcffpNFWNMrOk_Imkp2RCBX2qxHzE.jpg?width=108&crop=smart&auto=webp&s=13012b6d4d15c9e21f299ae7258cad7388696736', 'width': 108}, {'height': 108, 'url': 'h... |
Project Portfolio Management using RLHF with multiple LLMS. What's the best format for using this data for recurring fine tuning of other LMs? | 1 | First post. Title asks the question. I am now able to generate contextual RLHF data in mass. What would be the ideal data format for recurring fine tuning of other LMs locally or in private networks (e.g. on the edge), when talking about contextual project data e.g. (food processing, construction, live events, etc)... | 2024-02-18T19:01:13 | https://www.reddit.com/r/LocalLLaMA/comments/1au1r2z/project_portfolio_management_using_rlhf_with/ | BeyondPrograms | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au1r2z | false | null | t3_1au1r2z | /r/LocalLLaMA/comments/1au1r2z/project_portfolio_management_using_rlhf_with/ | false | false | self | 1 | null |
Updating Base Knowledge / Continued Pre-training on Colab with 0 Prior Experience | 15 | TL;DR, I put my money where my mouth was the other day when I asked about [what the SOTA was for knowledge injection](https://www.reddit.com/r/LocalLLaMA/comments/1as5bn4/comment/kqo5j8t/); and from having 0 prior experience in fine-tuning or dataset creation and no industry contacts or friends to lean on for help, I m... | 2024-02-18T18:59:11 | https://www.reddit.com/r/LocalLLaMA/comments/1au1p1g/updating_base_knowledge_continued_pretraining_on/ | OldAd9530 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au1p1g | false | null | t3_1au1p1g | /r/LocalLLaMA/comments/1au1p1g/updating_base_knowledge_continued_pretraining_on/ | false | false | self | 15 | null |
Implementing DoRA, a new promising variant of LoRA for parameter-efficient finetuning | 2 | 2024-02-18T18:57:32 | https://magazine.sebastianraschka.com/p/lora-and-dora-from-scratch | seraschka | magazine.sebastianraschka.com | 1970-01-01T00:00:00 | 0 | {} | 1au1nk6 | false | null | t3_1au1nk6 | /r/LocalLLaMA/comments/1au1nk6/implementing_dora_a_new_promising_variant_of_lora/ | false | false | 2 | {'enabled': False, 'images': [{'id': '8Bv1paACPsFzG5RBFhECr9QhaIG5Ir7YaoRzz5sLsl0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/G9LLKN__nlNfRDRLiOeiabrnV2CI1wGaUn2E-MqTvAc.jpg?width=108&crop=smart&auto=webp&s=316fdbd8b3105fad75a460d4703eeb6be17acf5b', 'width': 108}, {'height': 108, 'url': 'h... | ||
How much VRAM? | 1 | Hey all!
So I am planning to buy a new MacBook in the next month. I don’t have any experience with local LLMs but I very much looking forward to get into the whole thing!
I’ve read the reviews about the 128GB M3 Max being able to run the 70b model easily. To my understanding though a 70b model would also run on a 64GB ... | 2024-02-18T18:54:03 | https://www.reddit.com/r/LocalLLaMA/comments/1au1kjf/how_much_vram/ | Dr_Superfluid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au1kjf | false | null | t3_1au1kjf | /r/LocalLLaMA/comments/1au1kjf/how_much_vram/ | false | false | self | 1 | null |
Rocket League BotChat powered by TensorRT-LLM: My submission for NVIDIA's Generative AI on RTX PCs Developer Contest | 21 | 2024-02-18T18:48:22 | https://briancaffey.github.io/2024/02/17/rocket-league-botchat-nvidia-generative-ai-on-rtx-pcs-developer-contest | gamprin | briancaffey.github.io | 1970-01-01T00:00:00 | 0 | {} | 1au1fjq | false | null | t3_1au1fjq | /r/LocalLLaMA/comments/1au1fjq/rocket_league_botchat_powered_by_tensorrtllm_my/ | false | false | 21 | {'enabled': False, 'images': [{'id': 'SIemsaw9-cqWFRUp7npt55pgrdyNh2eNg0trkrJhn4c', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/WcrszDmjGFOb3V0xdHqy4jwISd84l5-cuQXnfuEVOgk.jpg?width=108&crop=smart&auto=webp&s=5cba5c1f28a88e38c38cf1b3b82fea390fea766e', 'width': 108}, {'height': 121, 'url': 'h... | ||
Multimodal LLM for Ethical Consumption Guidance? | 1 | [removed] | 2024-02-18T18:40:20 | https://www.reddit.com/r/LocalLLaMA/comments/1au18hi/multimodal_llm_for_ethical_consumption_guidance/ | openerotica | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au18hi | false | null | t3_1au18hi | /r/LocalLLaMA/comments/1au18hi/multimodal_llm_for_ethical_consumption_guidance/ | false | false | self | 1 | null |
What motherboard do you recommend for dual GPUs? | 4 | I'm thinking about two 3090s (I currently have one). The processor is an AMD Ryzen 9 7900X. Thanks in advance! | 2024-02-18T18:33:32 | https://www.reddit.com/r/LocalLLaMA/comments/1au12cq/what_motherboard_do_you_recommend_for_dual_gpus/ | Available_Driver6406 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au12cq | false | null | t3_1au12cq | /r/LocalLLaMA/comments/1au12cq/what_motherboard_do_you_recommend_for_dual_gpus/ | false | false | self | 4 | null |
Finetuning 7B model for new language | 4 | Hey all,
I have looked almost everywhere to find what resources do i need for the full training without lora.
I have at disposal a 2x rtx3090ti rig that sums up to 48gb. Would that fit into the rig or do I have to rent something?
Thanks
| 2024-02-18T18:18:22 | https://www.reddit.com/r/LocalLLaMA/comments/1au0ows/finetuning_7b_model_for_new_language/ | matovsetko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1au0ows | false | null | t3_1au0ows | /r/LocalLLaMA/comments/1au0ows/finetuning_7b_model_for_new_language/ | false | false | self | 4 | null |
What is the simplest (noob friendly) way to run a 3 - 7M parameter model locally on an iPhone/iOS device? | 1 | A link to tutorial would be much appreciated! | 2024-02-18T17:33:50 | https://www.reddit.com/r/LocalLLaMA/comments/1atzlpl/what_is_the_simplest_noob_friendly_way_to_run_a_3/ | blacktie_redstripes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atzlpl | false | null | t3_1atzlpl | /r/LocalLLaMA/comments/1atzlpl/what_is_the_simplest_noob_friendly_way_to_run_a_3/ | false | false | self | 1 | null |
Better Ways to Prompt a LLM? | 5 | I am currently combining a prompt I created with user input and sending that combined string to an LLM API. For example, my prompt is “fix the grammar of the following: ” which I combine with user input to fix their grammar. I was wondering if there was a better way to consistently ask an LLM to perform the same task? | 2024-02-18T17:07:04 | https://www.reddit.com/r/LocalLLaMA/comments/1atyxqz/better_ways_to_prompt_a_llm/ | nboeker1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atyxqz | false | null | t3_1atyxqz | /r/LocalLLaMA/comments/1atyxqz/better_ways_to_prompt_a_llm/ | false | false | self | 5 | null |
What would be the best benchmark on the Huggingface Open LLM Leaderboard to help determine a model's ability to follow complex CoT reasoning prompts? | 4 | I'm working on a complex CoT reasoning prompt and when testing it on models, I'd like to focus my testing on those that are likely to respond well, rather than just grabbing models at random and seeing how well they work. Can anyone who knows about these tests fill me in on which scores are likely to indicate a better... | 2024-02-18T17:02:38 | https://www.reddit.com/r/LocalLLaMA/comments/1atytsp/what_would_be_the_best_benchmark_on_the/ | Bite_It_You_Scum | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atytsp | false | null | t3_1atytsp | /r/LocalLLaMA/comments/1atytsp/what_would_be_the_best_benchmark_on_the/ | false | false | self | 4 | null |
Which LocalLLaMA focused YT Channels Do You Follow? | 80 | Hi, everything is evolving too fast, and thanks to this community, we can stay up to date by sharing our experiences.
I was wondering, which YouTubers do you follow or take a glance at when they release a video on 'LocalLLaMA' or AI in general?
PromptEngineering and Matthew Berman are the ones I actively follow and l... | 2024-02-18T16:43:09 | https://www.reddit.com/r/LocalLLaMA/comments/1atycgd/which_localllama_focused_yt_channels_do_you_follow/ | arbayi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atycgd | false | null | t3_1atycgd | /r/LocalLLaMA/comments/1atycgd/which_localllama_focused_yt_channels_do_you_follow/ | false | false | self | 80 | null |
Any Open-Source Multimodal LLMs out there? | 14 | So I am just goofing around with Stable Diffusion, and opted to get Gemini (formally Bard) to generate some prompts. It is doing fairly well, then I realized Gemini is multimodal. So I ask it to create a prompt based on a picture. Of course, it come back saying that because its " Google's AI Principles to return conten... | 2024-02-18T15:41:10 | https://www.reddit.com/r/LocalLLaMA/comments/1atww6l/any_opensource_multimodal_llms_out_there/ | ebonydad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atww6l | false | null | t3_1atww6l | /r/LocalLLaMA/comments/1atww6l/any_opensource_multimodal_llms_out_there/ | false | false | self | 14 | null |
program that does sensible model recommendations based on the current machine hardware? | 7 | I recall seeing such a tool in the past, where you run it on your PC and it tells you which models will be usable based on your machine hardware and if i recall well it allowed you to run them. It's been couple of months, are there still such tools available?
Not sure if the only parameters it takes into consideration... | 2024-02-18T15:18:43 | https://www.reddit.com/r/LocalLLaMA/comments/1atwdu6/program_that_does_sensible_model_recommendations/ | staticfull | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atwdu6 | false | null | t3_1atwdu6 | /r/LocalLLaMA/comments/1atwdu6/program_that_does_sensible_model_recommendations/ | false | false | self | 7 | null |
Qwen-1.5-8x7B | 8 | Someone created a sparse MoE Qwen model by merging and finetuning Qwen1.5-7B | 2024-02-18T15:07:27 | https://www.reddit.com/r/LocalLLaMA/comments/1atw4ud/qwen158x7b/ | Amgadoz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atw4ud | false | null | t3_1atw4ud | /r/LocalLLaMA/comments/1atw4ud/qwen158x7b/ | false | false | self | 8 | {'enabled': False, 'images': [{'id': 'Z5w1RksD_H4A6Kx1gyeDP86JU4Uf_k7ekXeLFltxw2M', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/qfrQ3-Ug1Z9vrTja--Xf3f8laqWX6lrifodfRFS3lFU.jpg?width=108&crop=smart&auto=webp&s=ee417f5cecb2374d957abae10726178368cea54c', 'width': 108}, {'height': 116, 'url': 'h... |
Data > model? | 17 | Looking at some of the research it seems the biggest gains are in tge quality of data we train the models on including synthetic data. However most of the things that get published are models.
Like is someone working on fixing the MMLU data, since the errors have been discovered?
Are we working on competing with the ... | 2024-02-18T15:00:49 | https://www.reddit.com/r/LocalLLaMA/comments/1atvzch/data_model/ | extreme4all | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atvzch | false | null | t3_1atvzch | /r/LocalLLaMA/comments/1atvzch/data_model/ | false | false | self | 17 | null |
Current state of training on AMD Radeon 7900 XTX (with benchmarks) | 147 | In my last post reviewing [AMD Radeon 7900 XT/XTX Inference Performance](https://www.reddit.com/r/LocalLLaMA/comments/191srof/amd_radeon_7900_xtxtx_inference_performance/) I mentioned that I would followup with some fine-tuning benchmarks. Sadly, a lot of the libraries I was hoping to get working... didn't. Over the we... | 2024-02-18T14:58:59 | https://www.reddit.com/r/LocalLLaMA/comments/1atvxu2/current_state_of_training_on_amd_radeon_7900_xtx/ | randomfoo2 | self.LocalLLaMA | 2024-02-18T21:13:07 | 0 | {} | 1atvxu2 | false | null | t3_1atvxu2 | /r/LocalLLaMA/comments/1atvxu2/current_state_of_training_on_amd_radeon_7900_xtx/ | false | false | self | 147 | {'enabled': False, 'images': [{'id': 'LVI9k0fh_RZkRc--0M6US_gjgAtTjLGNcNKdvCGt54E', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/bx2O8BPfwyCFkmWEtPfeTy5Pq8oebtWvGqMnMUeBbGM.jpg?width=108&crop=smart&auto=webp&s=80f8b9cd30ec6f6a608377590cd8dfb9ed23ffd1', 'width': 108}, {'height': 121, 'url': 'h... |
What's a **fair** way of computing similarity across sequence length? | 1 | I am currently working with an alignment problem with a contrastive learning methodology. As in with contrastive learning, we have an scenario in which we have a query, generally the sample we are currently working on with, and a set of positive pairs and negative pairs.
The key of contrastive learning is working wit... | 2024-02-18T14:57:01 | https://www.reddit.com/r/LocalLLaMA/comments/1atvwdd/whats_a_fair_way_of_computing_similarity_across/ | Its_All_Chain_Rules | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atvwdd | false | null | t3_1atvwdd | /r/LocalLLaMA/comments/1atvwdd/whats_a_fair_way_of_computing_similarity_across/ | false | false | self | 1 | null |
256 GB RAM + Mid GPU vs High End GPU? | 4 | Howdy everyone, I hate to add another "what can I run" thread but I'm trying to determine if I should purchase additional hardware to use my current components or just spend more and get a more powerful GPU.
Current hardware :
2 x 2680 v2 (10 core each)
384 GB of DDR3 1866 RAM
980 Ti 6Gb
Or is something like a GTX ... | 2024-02-18T14:55:24 | https://www.reddit.com/r/LocalLLaMA/comments/1atvv3x/256_gb_ram_mid_gpu_vs_high_end_gpu/ | An_Original_ID | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atvv3x | false | null | t3_1atvv3x | /r/LocalLLaMA/comments/1atvv3x/256_gb_ram_mid_gpu_vs_high_end_gpu/ | false | false | self | 4 | null |
What's a **fair** way to compute similarity across a sequence length? | 1 | query embeddings: (1, 1030, 4096) # (samples, sequence length, embedding dims)
positive keys embeddings: (3, 1030, 4096)
What would It be a good way to compute the similarity? | 2024-02-18T14:55:07 | https://www.reddit.com/r/LocalLLaMA/comments/1atvuwi/whats_a_fair_way_to_compute_similarity_across_a/ | Its_All_Chain_Rules | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atvuwi | false | null | t3_1atvuwi | /r/LocalLLaMA/comments/1atvuwi/whats_a_fair_way_to_compute_similarity_across_a/ | false | false | self | 1 | null |
task_type in LoraConfig | 1 | hey everyone! i want to fine tune an LLM using a dataset that consists of Q/A using LoRA. what should i use in my case? i only came across task\_type="SEQ\_CLS" for sequence classification (sentiment analysis for instance) and causalLM | 2024-02-18T14:43:10 | https://www.reddit.com/r/LocalLLaMA/comments/1atvlma/task_type_in_loraconfig/ | Life_Ask2806 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atvlma | false | null | t3_1atvlma | /r/LocalLLaMA/comments/1atvlma/task_type_in_loraconfig/ | false | false | self | 1 | null |
Google blog post "What is a long context window?" states that the long context project whose results are used in Gemini 1.5 Pro required "a series of deep learning innovations," but doesn't specify what those innovations are | 84 | From [What is a long context window?](https://blog.google/technology/ai/long-context-window-ai-models/):
>"Our original plan was to achieve 128,000 tokens in context, and I thought setting an ambitious bar would be good, so I suggested 1 million tokens," says Google DeepMind Research Scientist Nikolay Savinov, one of ... | 2024-02-18T14:21:34 | https://www.reddit.com/r/LocalLLaMA/comments/1atv5e6/google_blog_post_what_is_a_long_context_window/ | Wiskkey | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atv5e6 | false | null | t3_1atv5e6 | /r/LocalLLaMA/comments/1atv5e6/google_blog_post_what_is_a_long_context_window/ | false | false | self | 84 | {'enabled': False, 'images': [{'id': 'i7pcPm9bqpPTMSysBTBq2Yr0NKEA_uUDxW_p9rbcnl4', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/f3r0sLYH0Hsn5plcgHC3UZVOg3ddgP4hSexm4SuM-Qs.jpg?width=108&crop=smart&auto=webp&s=fb7676a50ab3e5282858bca460c57837908f98ff', 'width': 108}, {'height': 121, 'url': 'h... |
Google blog post "What is a long context window?" states that the long context project whose results are used in Gemini 1.5 Pro required "a series of deep learning innovations," but doesn't specify what those innovations are | 1 | From [What is a long context window?](https://blog.google/technology/ai/long-context-window-ai-models/):
>"Our original plan was to achieve 128,000 tokens in context, and I thought setting an ambitious bar would be good, so I suggested 1 million tokens," says Google DeepMind Research Scientist Nikolay Savinov, one of ... | 2024-02-18T14:21:33 | https://www.reddit.com/r/LocalLLaMA/comments/1atv5dr/google_blog_post_what_is_a_long_context_window/ | Wiskkey | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atv5dr | false | null | t3_1atv5dr | /r/LocalLLaMA/comments/1atv5dr/google_blog_post_what_is_a_long_context_window/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'i7pcPm9bqpPTMSysBTBq2Yr0NKEA_uUDxW_p9rbcnl4', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/f3r0sLYH0Hsn5plcgHC3UZVOg3ddgP4hSexm4SuM-Qs.jpg?width=108&crop=smart&auto=webp&s=fb7676a50ab3e5282858bca460c57837908f98ff', 'width': 108}, {'height': 121, 'url': 'h... |
Please give your opinion on my PC setup | 1 | [removed] | 2024-02-18T13:59:40 | https://www.reddit.com/r/LocalLLaMA/comments/1atupcj/please_give_your_opinion_on_my_pc_setup/ | Competitive_Fox7811 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atupcj | false | null | t3_1atupcj | /r/LocalLLaMA/comments/1atupcj/please_give_your_opinion_on_my_pc_setup/ | false | false | self | 1 | null |
Seeking Feedback: Real-World Experiences with AQLM Quantization Method | 3 | I'm curious about the community's feedback on AQLM. Two weeks ago, there was significant buzz surrounding the introduction of the AQLM quantization method. I'm eager to hear about your experiences with it so far. Has it lived up to the hype, or was it an overpromise? Thank you for sharing your thoughts. | 2024-02-18T13:56:12 | https://www.reddit.com/r/LocalLLaMA/comments/1atumy1/seeking_feedback_realworld_experiences_with_aqlm/ | dewijones92 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atumy1 | false | null | t3_1atumy1 | /r/LocalLLaMA/comments/1atumy1/seeking_feedback_realworld_experiences_with_aqlm/ | false | false | self | 3 | null |
Model for extraction of organizations, products | 3 | I've been trying out a few different models (llama2, mistral, tinyllama, falcon) for pulling out things like names of products, names of orgs, with somewhat variable results. Tinyllama in particular was next to useless, mistral pretty good! Which is your go-to model for this kind of task, via a prompt? Is there another... | 2024-02-18T13:52:11 | https://www.reddit.com/r/LocalLLaMA/comments/1atuk3t/model_for_extraction_of_organizations_products/ | dazld | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atuk3t | false | null | t3_1atuk3t | /r/LocalLLaMA/comments/1atuk3t/model_for_extraction_of_organizations_products/ | false | false | self | 3 | null |
Looking to implement tts during text generation | 2 | Hello all English is not my first language please excuse me if i make any mistakes in the below post
## About myself ##
Im a college student and new to llm so our overall project is an interactive humanoid robot
In that my alloted work is to create a local voice chat system basecally Voice ->text-> llm->text->voice ... | 2024-02-18T13:51:49 | https://www.reddit.com/r/LocalLLaMA/comments/1atujv1/looking_to_implement_tts_during_text_generation/ | i_dont_care_about_vr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atujv1 | false | null | t3_1atujv1 | /r/LocalLLaMA/comments/1atujv1/looking_to_implement_tts_during_text_generation/ | false | false | self | 2 | null |
Are there ways to attach extra external GPU’s to a 6GB vram Laptop? | 1 | [removed] | 2024-02-18T13:51:42 | https://www.reddit.com/r/LocalLLaMA/comments/1atujru/are_there_ways_to_attach_extra_external_gpus_to_a/ | headbopper96 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atujru | false | null | t3_1atujru | /r/LocalLLaMA/comments/1atujru/are_there_ways_to_attach_extra_external_gpus_to_a/ | false | false | self | 1 | null |
GPT-3.5-Turbo-0125 is so much worse I need a replacement | 86 | Hi,
I am basically running a small project that uses GPT 3.5 and 0125 is so much worse, once GPT 3.5 1106 is depreciated next year I can't use OpenAI any longer.
Does anyone here have a good alternative that is at least as good as the old GPT 3.5 with comparable pricing? | 2024-02-18T13:49:03 | https://www.reddit.com/r/LocalLLaMA/comments/1atuhu3/gpt35turbo0125_is_so_much_worse_i_need_a/ | HeronAI_com | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atuhu3 | false | null | t3_1atuhu3 | /r/LocalLLaMA/comments/1atuhu3/gpt35turbo0125_is_so_much_worse_i_need_a/ | false | false | self | 86 | null |
VRAM on a budget: How to set up a higher-end gaming card (like a 3090) alongside with one (or more) Tesla K80 For LLM inference. | 1 | [removed] | 2024-02-18T13:25:46 | https://www.reddit.com/r/LocalLLaMA/comments/1atu1nl/vram_on_a_budget_how_to_set_up_a_higherend_gaming/ | Relative_Bit_7250 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atu1nl | false | {'oembed': {'author_name': 'BarTech TV', 'author_url': 'https://www.youtube.com/@BartechTV', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/XIDarSg2jqk?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; ... | t3_1atu1nl | /r/LocalLLaMA/comments/1atu1nl/vram_on_a_budget_how_to_set_up_a_higherend_gaming/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'PgG7ZQt4s5aBnz4LIiuk-5UfuRiOE5tTH_nMYkhLgQI', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/yuVzELSV4ABI3_aAAhBr7Q2ogP2-Ub_d_6T7o2G8-tg.jpg?width=108&crop=smart&auto=webp&s=02e61f4d0a1eea3b2cf2fefe9f43a385d72768fa', 'width': 108}, {'height': 162, 'url': 'h... | |
Guided Generation: How to Fully Control LLM Outputs [Tool Overview] | 12 | 2024-02-18T13:16:00 | https://ammar-alyousfi.com/2024/guided-generation-with-llms-how-to-fully-control-llm-outputs | ammar- | ammar-alyousfi.com | 1970-01-01T00:00:00 | 0 | {} | 1attusl | false | null | t3_1attusl | /r/LocalLLaMA/comments/1attusl/guided_generation_how_to_fully_control_llm/ | false | false | 12 | {'enabled': False, 'images': [{'id': '2BVDTnvvMEBshIJxA06jQ5M7gk_-DGkeif8VMmIi1UA', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/3fn9vbZm8K1_hrZEHMaUmwdj7KuNeA4pNAhkJxKKAXE.jpg?width=108&crop=smart&auto=webp&s=60a47098f2041d91d6fb53f34b121101e5382ad6', 'width': 108}, {'height': 121, 'url': 'h... | ||
what are the minimum requirement to run Code LLaMA -70B locally | 2 | I have a Laptop with I7-11800H - rtx3050 4Gb and 16 GB RAM- Win11
is this sufficient to run code llama -70B locally with LM Studio ? | 2024-02-18T12:33:27 | https://www.reddit.com/r/LocalLLaMA/comments/1att3w2/what_are_the_minimum_requirement_to_run_code/ | Cyberbunk2021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1att3w2 | false | null | t3_1att3w2 | /r/LocalLLaMA/comments/1att3w2/what_are_the_minimum_requirement_to_run_code/ | false | false | self | 2 | null |
Complete noob here. I am confused on how to run LLaMa locally in a python script after reading the wiki. | 1 | I have not worked with HuggingFace before, but I followed the wiki and ended up requesting access to this [repo](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf/tree/main). Access was granted and I could download the files from these repo. I see 3 .bin files here. I assume these are sharded? How do I load them?
... | 2024-02-18T12:19:33 | https://www.reddit.com/r/LocalLLaMA/comments/1atsvkc/complete_noob_here_i_am_confused_on_how_to_run/ | shank9717 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atsvkc | false | null | t3_1atsvkc | /r/LocalLLaMA/comments/1atsvkc/complete_noob_here_i_am_confused_on_how_to_run/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '5vFdCOltfpaghv8BBRADP1zFEeauod4jTRF2rW1FwBs', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/JGo8VeH6OpKJJcb_zh3Dtj0KmZjS-bP-JiC7uBL_TpQ.jpg?width=108&crop=smart&auto=webp&s=67d4e4c12de563732f1da5130334427659190974', 'width': 108}, {'height': 116, 'url': 'h... |
enhance load on LLM Hosted GPU VM? | 1 | Newbie here ,I have one A100 and A10 VM linked to one VM , I can barely host medium size models(Defog SQL coder 34B , llama 13 B) , even if execute one program it taking 80% GPU consumption , how to enhance it ,if it give it gets two requests it is collapsing , heard VLLM is better than Huggingface for the better archi... | 2024-02-18T11:43:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ats9vx/enhance_load_on_llm_hosted_gpu_vm/ | Leelaah_saiee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ats9vx | false | null | t3_1ats9vx | /r/LocalLLaMA/comments/1ats9vx/enhance_load_on_llm_hosted_gpu_vm/ | false | false | self | 1 | null |
Petals Alternative | 1 | [removed] | 2024-02-18T11:24:40 | https://www.reddit.com/r/LocalLLaMA/comments/1atrzeh/petals_alternative/ | Lopsided_Dot_4557 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atrzeh | false | null | t3_1atrzeh | /r/LocalLLaMA/comments/1atrzeh/petals_alternative/ | false | false | self | 1 | null |
nomic-embed-text-v1.5: Resizable Production Embeddings with Matryoshka Representation Learning - Scalable Vector Embeddings from 64 to 768 dimensions | 35 | 2024-02-18T11:12:41 | https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 | davidmezzetti | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1atrsng | false | null | t3_1atrsng | /r/LocalLLaMA/comments/1atrsng/nomicembedtextv15_resizable_production_embeddings/ | false | false | 35 | {'enabled': False, 'images': [{'id': 'SbdA6G51r2Q8llTpijU5gywaT3Y_u0KJjVgCC9GYWLo', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/P9EW7bWI5q-8hggyLqB427eKyfTcxpGyJQxswY8FMKk.jpg?width=108&crop=smart&auto=webp&s=32fb32beb42a2ce4bfd0bb8fd1196e447d7ba888', 'width': 108}, {'height': 116, 'url': 'h... | ||
Using family relationship quizzes to measure the "cognitive capacity" of LLMs | 6 | Recently I had the idea of measuring the "cognitive capacity" of large language models meant as the number of individual facts that the model can associate with each other and use to perform logical reasoning. I wanted the test to be simple, use commonly known concepts, have a uniform structure and incremental difficu... | 2024-02-18T10:21:09 | https://www.reddit.com/r/LocalLLaMA/comments/1atr1df/using_family_relationship_quizzes_to_measure_the/ | fairydreaming | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atr1df | false | null | t3_1atr1df | /r/LocalLLaMA/comments/1atr1df/using_family_relationship_quizzes_to_measure_the/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'OgFzGCIRw1ZxjMOSkfV1OiH-_nQiZl8rzSonmOAuhGs', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/P8lS0kk6BFe2IEo6TxCZd1LVwksc34IkzGTVx_SCc8w.jpg?width=108&crop=smart&auto=webp&s=3d74dbe4f1d67cc8b587db9aa01762f26e269bcf', 'width': 108}], 'source': {'height': 15... |
I'm Open Sourcing Our RAG Backend: Our CQH, GQL & CHS | 224 | I’m open sourcing the backbone of our tech stack, including three major components that have been pivotal in enhancing our capabilities in processing and managing complex queries, logging, and chat session optimizations. Whether you're into APIs, data logging, or improving chatbot interactions, there's something here f... | 2024-02-18T10:08:43 | https://www.reddit.com/r/LocalLLaMA/comments/1atquor/im_open_sourcing_our_rag_backend_our_cqh_gql_chs/ | multiplexers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atquor | false | null | t3_1atquor | /r/LocalLLaMA/comments/1atquor/im_open_sourcing_our_rag_backend_our_cqh_gql_chs/ | false | false | self | 224 | {'enabled': False, 'images': [{'id': 'HBPyMLZWAU5fzfgAdUYpohsSBbDiJaJFMMUg2Q7Zm6U', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/5kOcbO3jEgKjfliOJMa-7DsbxOQcse-Ha21Whb4vyaQ.jpg?width=108&crop=smart&auto=webp&s=e331ec33e4a77d407b8dfa1393eff642854b961c', 'width': 108}, {'height': 216, 'url': '... |
Cheapest CPU build for 400gb/s bandwith? | 1 | [removed] | 2024-02-18T09:50:47 | https://www.reddit.com/r/LocalLLaMA/comments/1atql4l/cheapest_cpu_build_for_400gbs_bandwith/ | kpodkanowicz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atql4l | false | null | t3_1atql4l | /r/LocalLLaMA/comments/1atql4l/cheapest_cpu_build_for_400gbs_bandwith/ | false | false | self | 1 | null |
Control vectors: add a meaningful bias in each layer | 50 | 2024-02-18T09:47:17 | https://vgel.me/posts/representation-engineering/ | _supert_ | vgel.me | 1970-01-01T00:00:00 | 0 | {} | 1atqj7f | false | null | t3_1atqj7f | /r/LocalLLaMA/comments/1atqj7f/control_vectors_add_a_meaningful_bias_in_each/ | false | false | default | 50 | null | |
Cheap way to use your own smol models in prod? | 1 | [removed] | 2024-02-18T09:08:44 | https://www.reddit.com/r/LocalLLaMA/comments/1atpynw/cheap_way_to_use_your_own_smol_models_in_prod/ | Few-Strike4130 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atpynw | false | null | t3_1atpynw | /r/LocalLLaMA/comments/1atpynw/cheap_way_to_use_your_own_smol_models_in_prod/ | false | false | self | 1 | null |
What are the latest, recommended libraries for fine tuning? | 10 | Hi, I'm interested in fine tuning Mixtral / Qwen / etc, ... (or any better ones recently?), and perhaps on the top of other fine-tuned releases if that's better. Though things are changing so fast and it's hard to keep up with the latest tools. :)
It seems like Unsloth is somewhat popular, is this the goto library to... | 2024-02-18T08:50:01 | https://www.reddit.com/r/LocalLLaMA/comments/1atpozr/what_are_the_latest_recommended_libraries_for/ | kkimdev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atpozr | false | null | t3_1atpozr | /r/LocalLLaMA/comments/1atpozr/what_are_the_latest_recommended_libraries_for/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': 'DAftDPkSg4_H4CSJguIhj1K4WFf2S_ipf5rL1bOmNh4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/0ClBRNxmPnuT4BWpYiWYzmp909zHcMafZmdX-yVp50g.jpg?width=108&crop=smart&auto=webp&s=b147967438bcc63f2b83ff41450866e7163fb92d', 'width': 108}, {'height': 108, 'url': 'h... |
Good server expirence | 6 | Hi there. I am looking a to setup a very simple service, that should be run on my local LLM instance. What are possible options for my back-end implementation to handle LLM models?
I tried:
Ollama - no parallel request handling, i.e. only one request can be processed at once.
llama.cpp - no parallel serve out-of-... | 2024-02-18T08:48:18 | https://www.reddit.com/r/LocalLLaMA/comments/1atpo73/good_server_expirence/ | MrVodnik | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atpo73 | false | null | t3_1atpo73 | /r/LocalLLaMA/comments/1atpo73/good_server_expirence/ | false | false | self | 6 | null |
LLM Deployment | 1 | I am a student working on an app and I want to create an LLM api so that my app can send prompts to and receive reply from LLM as a stream. Are there any cheap ways to deploy LLMs and still get a low inference time? I know it's a long shot but I thought I'd give it a try😅 | 2024-02-18T07:49:03 | https://www.reddit.com/r/LocalLLaMA/comments/1atoszo/llm_deployment/ | warhawk128 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atoszo | false | null | t3_1atoszo | /r/LocalLLaMA/comments/1atoszo/llm_deployment/ | false | false | self | 1 | null |
Experimental Prompt Style: In-line Role-Playing | 21 | I've been experimenting the last few days with a different approach to prompting (to my limited knowledge). I've begun engineering my prompts with inline roleplay. That is: provide a framework for the LLM to reflect and strategically plan based around internalized agents. For example, consider the following prompt:
... | 2024-02-18T06:34:43 | https://www.reddit.com/r/LocalLLaMA/comments/1atno2w/experimental_prompt_style_inline_roleplaying/ | cddelgado | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atno2w | false | null | t3_1atno2w | /r/LocalLLaMA/comments/1atno2w/experimental_prompt_style_inline_roleplaying/ | false | false | self | 21 | null |
Best vision model for dense OCR?
I have some file full of car plate and wanted to try taking pictures of the pages, extracting the text with a vision model, and import in excel. tesseract can do this without doing mistake? | 1 |
I have some file full of car plate and wanted to try taking pictures of the pages, extracting the text with a vision model, and import in excel. tesseract can do this without doing mistake? | 2024-02-18T05:48:25 | https://www.reddit.com/r/LocalLLaMA/comments/1atmw9s/best_vision_model_for_dense_ocr_i_have_some_file/ | SadChampionship8616 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atmw9s | false | null | t3_1atmw9s | /r/LocalLLaMA/comments/1atmw9s/best_vision_model_for_dense_ocr_i_have_some_file/ | false | false | self | 1 | null |
SORA and theoretical methods for creating coherent series of frames in generated images. | 1 | **The problem:**
I've been considering SORA and its consistency and what kind of outside the box ideas might have resulted in it and I have an idea for consideration. What if they aren't directly using pixel images to train the model at all? Pixel data represents alot of challenges when applied to a time series. Speci... | 2024-02-18T05:36:22 | https://www.reddit.com/r/LocalLLaMA/comments/1atmp0z/sora_and_theoretical_methods_for_creating/ | Radiant_Dog1937 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atmp0z | false | null | t3_1atmp0z | /r/LocalLLaMA/comments/1atmp0z/sora_and_theoretical_methods_for_creating/ | false | false | self | 1 | null |
Can a local LLM tell an original joke? if not, how far are we from this? | 28 | I have tired asking Mistral 34B to tell me an original one liner. One that has not been ever said before. It fails.
each joke can easily be found in Google.
Is this possible currently with any of the LLM or even the big 3 ?
​
tia | 2024-02-18T05:23:38 | https://www.reddit.com/r/LocalLLaMA/comments/1atmh8y/can_a_local_llm_tell_an_original_joke_if_not_how/ | Sand-Discombobulated | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atmh8y | false | null | t3_1atmh8y | /r/LocalLLaMA/comments/1atmh8y/can_a_local_llm_tell_an_original_joke_if_not_how/ | false | false | self | 28 | null |
llama-cpp-python cloud serving | 1 | I used llama-cpp-python with llama2 13B model, which takes 6-10 sec to answer one question out of 1000 documents on my local Mac pro M3.
**Config**:
vectorstore = Chroma.from\_documents(
documents=all\_splits,
collection\_name="rag-private",
embedding=GPT4AllEmbeddings(),
)
retriever = vectorstore.as\... | 2024-02-18T05:11:22 | https://www.reddit.com/r/LocalLLaMA/comments/1atm9us/llamacpppython_cloud_serving/ | stevengpn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atm9us | false | null | t3_1atm9us | /r/LocalLLaMA/comments/1atm9us/llamacpppython_cloud_serving/ | false | false | self | 1 | null |
Open-Aditi-Hi-v2 SOTA Language Model for Hindi language | 27 | Excited To Release: Open-Aditi-Hi-v2, our SOTA Language Model for Hindi language, bridges the gaps in current open LLMs for Hindi-specific applications.
Checkout manishiitg/open-aditi-hi-v2 for all benchmark comparisons
Trained on approx 500k rows on hindi data.
Easily beats models like Airavata, OpenHati, OpenHe... | 2024-02-18T04:34:03 | https://www.reddit.com/r/LocalLLaMA/comments/1atlmqm/openaditihiv2_sota_language_model_for_hindi/ | manishiitg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atlmqm | false | null | t3_1atlmqm | /r/LocalLLaMA/comments/1atlmqm/openaditihiv2_sota_language_model_for_hindi/ | false | false | self | 27 | {'enabled': False, 'images': [{'id': 'nkhh65ujo5BznFJFojoMPaKjGuLSpPj6KGhRov-ykOg', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/0-fRWqjlLadVXj5pfYp4_Oe3xgBWE-_rdjVSn7hlohI.jpg?width=108&crop=smart&auto=webp&s=f34d2dfdbbfa7de0f1956f186fd8430ee96a1a55', 'width': 108}, {'height': 216, 'url': '... |
How to build chatbot with multiple, granular PDFs for data source and citations? | 4 | I'm building a Q&A chatbot that interacts with 10-15 different company reports, each a very long PDF (over 40 pages). When I ask a question, I also want the chatbot to cite its source (RAG), specifically the name of the report and the excerpt it's drawing info from.
Two questions:
1. What would be the best way for me... | 2024-02-18T04:24:34 | https://www.reddit.com/r/LocalLLaMA/comments/1atlgwx/how_to_build_chatbot_with_multiple_granular_pdfs/ | otaku2sday | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atlgwx | false | null | t3_1atlgwx | /r/LocalLLaMA/comments/1atlgwx/how_to_build_chatbot_with_multiple_granular_pdfs/ | false | false | self | 4 | null |
Text corpus to Q&A model | 4 | A while back I saw (probably) on here somebody suggested a hugging face model that can take large unstructured text corpus and turn them into a question and answer pair.
Anybody know what it’s called? Have searched for hours.
| 2024-02-18T04:16:18 | https://www.reddit.com/r/LocalLLaMA/comments/1atlbqa/text_corpus_to_qa_model/ | blackpantera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atlbqa | false | null | t3_1atlbqa | /r/LocalLLaMA/comments/1atlbqa/text_corpus_to_qa_model/ | false | false | self | 4 | null |
Using LLM to analyze large PDF/Text Documents and make notes/terms | 14 | So, I've been looking into running some sort of local or cloud AI setup for about two weeks now.
My goal is to somehow run a system either locally or in a somewhat cost-friendly online method that can take in 1000s of pages of a PDF document and take down important notes or mark down important keywords/phrases inside... | 2024-02-18T02:20:25 | https://www.reddit.com/r/LocalLLaMA/comments/1atj6eg/using_llm_to_analyze_large_pdftext_documents_and/ | Mr_Feelz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atj6eg | false | null | t3_1atj6eg | /r/LocalLLaMA/comments/1atj6eg/using_llm_to_analyze_large_pdftext_documents_and/ | false | false | self | 14 | null |
Do you include negative examples in few-shot learning? | 8 | I'm trying to write a good system prompt for role-playing and I want to teach my LLM to use the out-of-character (OOC) mode. Here's a few examples:
\### User
John Doe: He leaned against the wall and tapped his pockets. "Where did I leave my cigars?" he pondered.
\### AI
Jane Doe: Upon hearing John she rolled her ey... | 2024-02-18T01:32:49 | https://www.reddit.com/r/LocalLLaMA/comments/1ati8ha/do_you_include_negative_examples_in_fewshot/ | Revolutionary_Ad6574 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ati8ha | false | null | t3_1ati8ha | /r/LocalLLaMA/comments/1ati8ha/do_you_include_negative_examples_in_fewshot/ | false | false | self | 8 | null |
Looking for a workstation recommendation to run small/medium LLM models. | 3 | After running Ollama on a 5 years old laptop (despite a decent GPU, CPU, and a 64GB RAM), I decided it is time to invest for a new machine.
I am sincerely asking people here for suggestion for spec and websites where I can purchase workstation for a reasonable price that is capable of running LLM models. My budget ... | 2024-02-18T01:11:56 | https://www.reddit.com/r/LocalLLaMA/comments/1atht59/looking_for_a_workstation_recommendation_to_run/ | jiejenn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atht59 | false | null | t3_1atht59 | /r/LocalLLaMA/comments/1atht59/looking_for_a_workstation_recommendation_to_run/ | false | false | self | 3 | null |
Need an excuse to add a 4090 | 38 | I've been running LLMs locally for a while now on a single 3090Ti (system also has a Ryzen 9 7950X and 64GB RAM). Now that 4090 prices are dropping under $2k I'm thinking about upgrading for 48GB VRAM across two cards. This would make it easier to load 30B models and probably a reasonable quantization of Mixtral8x7B. W... | 2024-02-18T01:01:45 | https://www.reddit.com/r/LocalLLaMA/comments/1athlut/need_an_excuse_to_add_a_4090/ | Brigadier | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1athlut | false | null | t3_1athlut | /r/LocalLLaMA/comments/1athlut/need_an_excuse_to_add_a_4090/ | false | false | self | 38 | null |
Using Mixtral + piper TTS (locally) to help me keep up with AI (open source repo below) | 1 | 2024-02-18T01:00:03 | https://v.redd.it/6t9u8jm3t8jc1 | Chance_Confection_37 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1athkdx | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/6t9u8jm3t8jc1/DASHPlaylist.mpd?a=1710810016%2COGI4ODg4NzBlOWYzMzg4NDY4ZGUwZTFkYjFjZGMyOTI1MDVlNmI1MDEzOTA2ZjliZDhjZWUwZjM4ZmMyYjBmNg%3D%3D&v=1&f=sd', 'duration': 58, 'fallback_url': 'https://v.redd.it/6t9u8jm3t8jc1/DASH_720.mp4?source=fallback', 'ha... | t3_1athkdx | /r/LocalLLaMA/comments/1athkdx/using_mixtral_piper_tts_locally_to_help_me_keep/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'eG4xcndxMzV0OGpjMXOlTNYC774XMivubF8t0dEfNsY4sPHC7F0tklPFh1Q1', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/eG4xcndxMzV0OGpjMXOlTNYC774XMivubF8t0dEfNsY4sPHC7F0tklPFh1Q1.png?width=108&crop=smart&format=pjpg&auto=webp&s=522b8df34d093b771c1814e8eec3c53a436e0... | ||
Local RAG solution using SQL DB instead of Vector DB ? | 3 | Hi everyone, long time lurker here and playing with local llms, autogen and crewAI since I got my 3090 few months ago :D
Even though I'm trying to stay up to date with all the possibilities, I feel quite overwhelmed and I'm reaching out to ask about a use case that I believe is quite common and can be useful for the ... | 2024-02-18T00:56:56 | https://www.reddit.com/r/LocalLLaMA/comments/1athi72/local_rag_solution_using_sql_db_instead_of_vector/ | skini26 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1athi72 | false | null | t3_1athi72 | /r/LocalLLaMA/comments/1athi72/local_rag_solution_using_sql_db_instead_of_vector/ | false | false | self | 3 | null |
How do I have "Chat With RTX" run an arbitrary LLM, and not just the provided one? | 14 | Hello /r/localLLaMA,
I'm a complete n00b to this scene. I saw the "chat with rtx" release and thought that would be a fun thing to tinker with, as a I have a 3080 FE GPU. I have been searching for how to run an arbitrary model from huggingface, but I'm not seeing any instructions for how to get the chat with rtx ap... | 2024-02-18T00:26:57 | https://www.reddit.com/r/LocalLLaMA/comments/1atgvla/how_do_i_have_chat_with_rtx_run_an_arbitrary_llm/ | Ogi010 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atgvla | false | null | t3_1atgvla | /r/LocalLLaMA/comments/1atgvla/how_do_i_have_chat_with_rtx_run_an_arbitrary_llm/ | false | false | self | 14 | null |
"Local LLM Glossary" & "Simple Llama + SillyTavern Setup Guide" | 85 | I've published two writeups for local LLMs on GitHub as gists.
One is a starter guide for loading and using .gguf models with koboldcpp & SillyTavern: [https://gist.github.com/kalomaze/d98efdf334f250e644159ec6937fd21d](https://gist.github.com/kalomaze/d98efdf334f250e644159ec6937fd21d)
And the other is a general local... | 2024-02-18T00:08:42 | https://www.reddit.com/r/LocalLLaMA/comments/1atghbb/local_llm_glossary_simple_llama_sillytavern_setup/ | kindacognizant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atghbb | false | null | t3_1atghbb | /r/LocalLLaMA/comments/1atghbb/local_llm_glossary_simple_llama_sillytavern_setup/ | false | false | self | 85 | {'enabled': False, 'images': [{'id': 'OAXSl8SY6T3JK9MGQyKxkoYbqZ71HQRYXLeB8CV0NXg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/DaucjXMGsNHM-CtmdilC9-Be6MC8V2z4ykjVCgOkTFc.jpg?width=108&crop=smart&auto=webp&s=9bcab7b79864ff27bf48116cb335a6f825bfb124', 'width': 108}, {'height': 108, 'url': 'h... |
Best Local writing assistant model that I can run on laptop to write nsfw stories? | 1 | [removed] | 2024-02-17T23:42:33 | https://www.reddit.com/r/LocalLLaMA/comments/1atfwt5/best_local_writing_assistant_model_that_i_can_run/ | Darquealla | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atfwt5 | false | null | t3_1atfwt5 | /r/LocalLLaMA/comments/1atfwt5/best_local_writing_assistant_model_that_i_can_run/ | false | false | nsfw | 1 | {'enabled': False, 'images': [{'id': 'BFqR9N3RF4YoEw1p1nLLb0NFoqvY3cGzUBls5LrYdGQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/2512mmRv4SaCK9vM61e7HMBug996-EpkOK-Uphyd0II.jpg?width=108&crop=smart&auto=webp&s=494417b5845e3ad2819778351bc31c9cffe933cb', 'width': 108}, {'height': 116, 'url': 'h... |
TheBloke is still alive? | 1 | [removed] | 2024-02-17T23:39:28 | https://www.reddit.com/r/LocalLLaMA/comments/1atfubd/thebloke_is_still_alive/ | Extraltodeus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atfubd | false | null | t3_1atfubd | /r/LocalLLaMA/comments/1atfubd/thebloke_is_still_alive/ | false | false | self | 1 | null |
7b or 13b? | 1 | [removed] | 2024-02-17T23:19:06 | https://www.reddit.com/r/LocalLLaMA/comments/1atfdxb/7b_or_13b/ | Deep-Yoghurt878 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atfdxb | false | null | t3_1atfdxb | /r/LocalLLaMA/comments/1atfdxb/7b_or_13b/ | false | false | self | 1 | null |
First app on Play Store to run LLMs locally! | 1 | Hello! Excited to share something cool I've been working on: an app that lets you run LLMs right on your Android phone using embedded llama.cpp. With this app, you can download AI models and use them offline. Even the larger models work, though they might be slower if they don't fit fully in your phone's memory.
This ... | 2024-02-17T22:39:37 | https://www.reddit.com/r/LocalLLaMA/comments/1atehn0/first_app_on_play_store_to_run_llms_locally/ | ValleZZ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atehn0 | false | null | t3_1atehn0 | /r/LocalLLaMA/comments/1atehn0/first_app_on_play_store_to_run_llms_locally/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'jnCaTs7rufMnFCnhUFwL6nQu8TKLbaF5I6Zi-88_MXw', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/aAHkArnkr8Y_KVEnIL3oScR7-NIl9NtJ0L9MOuVqTVM.jpg?width=108&crop=smart&auto=webp&s=39e85e441f2e74faa7811c2a3faa5601cff2db5c', 'width': 108}, {'height': 216, 'url': '... |
What settings are recommended when running a 20B model on a 3090? | 2 | I am able to run several 20B models using LM Studio on my 3090 without issues, but on SillyTavern when I use any models past 13B responses go from \~15 seconds, to anywhere between 60 to 90 seconds, to sometimes not replying at all.
30B models were always slow on LM Studio, but 20B were no problem, so are there an... | 2024-02-17T22:33:26 | https://www.reddit.com/r/LocalLLaMA/comments/1atecl3/what_settings_are_recommended_when_running_a_20b/ | mald55 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atecl3 | false | null | t3_1atecl3 | /r/LocalLLaMA/comments/1atecl3/what_settings_are_recommended_when_running_a_20b/ | false | false | self | 2 | null |
What would be the best model currently for 16GB VRam. | 3 | Looking for a model with Q4-Q6 Quantsize . I want to do a medical Reporting system with defined format.
I am going to give it a medical consultation Transcript and Example report output it should generate.
Context need to be long - Transcript would be about 2 KB , and output would be about 1KB.
i had tried mis... | 2024-02-17T22:25:11 | https://www.reddit.com/r/LocalLLaMA/comments/1ate5o1/what_would_be_the_best_model_currently_for_16gb/ | Voxandr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ate5o1 | false | null | t3_1ate5o1 | /r/LocalLLaMA/comments/1ate5o1/what_would_be_the_best_model_currently_for_16gb/ | false | false | self | 3 | null |
Can anyone restart TheBloke? | 1 | [removed] | 2024-02-17T21:47:32 | https://www.reddit.com/r/LocalLLaMA/comments/1atda5u/can_anyone_restart_thebloke/ | jacek2023 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atda5u | false | null | t3_1atda5u | /r/LocalLLaMA/comments/1atda5u/can_anyone_restart_thebloke/ | false | false | self | 1 | null |
Is this a Mistral 7b issue or Chat with RTX issue? Never used this model before | 59 | 2024-02-17T21:37:23 | GodGMN | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1atd1p4 | false | null | t3_1atd1p4 | /r/LocalLLaMA/comments/1atd1p4/is_this_a_mistral_7b_issue_or_chat_with_rtx_issue/ | false | false | 59 | {'enabled': True, 'images': [{'id': 'ssHhgf3oKuszjM2x92ztFr4T6kaZf5CNKHNpe3QNDAs', 'resolutions': [{'height': 92, 'url': 'https://preview.redd.it/5cbprhlws7jc1.png?width=108&crop=smart&auto=webp&s=62300dd71306e05287b587f73ca9262e4a63e986', 'width': 108}, {'height': 185, 'url': 'https://preview.redd.it/5cbprhlws7jc1.png... | |||
What happened to The bloke? No more models? | 1 | [removed] | 2024-02-17T21:34:17 | https://www.reddit.com/r/LocalLLaMA/comments/1atcyzq/what_happened_to_the_bloke_no_more_models/ | TwistNecessary7182 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atcyzq | false | null | t3_1atcyzq | /r/LocalLLaMA/comments/1atcyzq/what_happened_to_the_bloke_no_more_models/ | false | false | self | 1 | null |
Chat with RTX problem | 1 | Here's what happens when I try and run Chat with RTX. Any insights as to why this thing is failing to run? My computer has an RTX3060 GPU and 32 GB RAM. All this thing seems to do is use Gigabytes of bandwidth.
https://preview.redd.it/dt3mxal7s7jc1.png?width=3835&format=png&auto=webp&s=0c1ba40734357156aed2e51f2a1a519a... | 2024-02-17T21:34:12 | https://www.reddit.com/r/LocalLLaMA/comments/1atcywh/chat_with_rtx_problem/ | BlueIdoru | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atcywh | false | null | t3_1atcywh | /r/LocalLLaMA/comments/1atcywh/chat_with_rtx_problem/ | false | false | 1 | null | |
What do you call this sofware? | 1 | [removed] | 2024-02-17T21:25:04 | https://www.reddit.com/r/LocalLLaMA/comments/1atcrfc/what_do_you_call_this_sofware/ | JeepyTea | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atcrfc | false | null | t3_1atcrfc | /r/LocalLLaMA/comments/1atcrfc/what_do_you_call_this_sofware/ | false | false | self | 1 | null |
Mistral-Next is weird. What is your experience? | 47 | I see ppl saying Mistral-Next is above GPT-4 level, and from my experience it hasn't even been close. It is weird though because for some reasoning questions it is really really good.
Maybe somebody who has better tested it, can tell if we all coping, or it is actually genuinely good? | 2024-02-17T20:57:53 | https://www.reddit.com/r/LocalLLaMA/comments/1atc56g/mistralnext_is_weird_what_is_your_experience/ | Consistent_Bit_3295 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atc56g | false | null | t3_1atc56g | /r/LocalLLaMA/comments/1atc56g/mistralnext_is_weird_what_is_your_experience/ | false | false | self | 47 | null |
Make any GGUF model multimodal? | 1 | I suppose I'm a little unclear as to how multimodal models work, but is there any way to make any GGUF model (like a Mixtral or Miqu) multimodal? Like can you just add an adapter that tokenizes an image, tokenize the prompt, and throw it all at any ol' model to interpret? | 2024-02-17T20:37:51 | https://www.reddit.com/r/LocalLLaMA/comments/1atborf/make_any_gguf_model_multimodal/ | logkn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atborf | false | null | t3_1atborf | /r/LocalLLaMA/comments/1atborf/make_any_gguf_model_multimodal/ | false | false | self | 1 | null |
Is there currently an off-the-shelf end-user application to run inference on one machine and output it on a phone? | 8 | I don’t know anything about programming and I’m too busy to bootstrap it myself, but I just want to load a model at home and be able to talk to it from my phone — what’s the best option? | 2024-02-17T20:16:53 | https://www.reddit.com/r/LocalLLaMA/comments/1atb75a/is_there_currently_an_offtheshelf_enduser/ | jon-flop-boat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atb75a | false | null | t3_1atb75a | /r/LocalLLaMA/comments/1atb75a/is_there_currently_an_offtheshelf_enduser/ | false | false | self | 8 | null |
Encoder for bidirectional text | 1 | If generative LLMs are so useless because of error accumulation, as Le Cun does not tire to explain, then why not use encoders? E.g. one provides some initial prompt and adds a randomly seeded text, masks randomly part of the new text and lets the encoder predict the masked words. Then iterate until the text does not ... | 2024-02-17T20:13:21 | https://www.reddit.com/r/LocalLLaMA/comments/1atb44m/encoder_for_bidirectional_text/ | Majestic-Explorer315 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atb44m | false | null | t3_1atb44m | /r/LocalLLaMA/comments/1atb44m/encoder_for_bidirectional_text/ | false | false | self | 1 | null |
This sub helped me build a model that measures growth potential of any creator. | 1 | [removed] | 2024-02-17T19:58:35 | https://www.kaggle.com/code/ivysdad/munchkin-demo-v1/notebook | GeeBrain | kaggle.com | 1970-01-01T00:00:00 | 0 | {} | 1atarcy | false | null | t3_1atarcy | /r/LocalLLaMA/comments/1atarcy/this_sub_helped_me_build_a_model_that_measures/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'p15coSqe7L8wApjnVlwASEYE50BcnmvRuPbSVpGUPaM', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/hIZn74UCUzMss02AeqYwTjjr9Q4P0f4_c6SjRwG_mWM.jpg?width=108&crop=smart&auto=webp&s=b0ef6b067fd0b46d01dc9f262edb560782bc9f2c', 'width': 108}], 'source': {'height': 16... | |
Feed data to llm | 1 | i'm new to LLMs and id like some help. I pulled and ran dolphin mistral from ollama, how do i feed , say a PDF or smth so that the model could infer and asnswer questions from it? | 2024-02-17T19:53:02 | https://www.reddit.com/r/LocalLLaMA/comments/1atamp3/feed_data_to_llm/ | meme_watcher69420 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1atamp3 | false | null | t3_1atamp3 | /r/LocalLLaMA/comments/1atamp3/feed_data_to_llm/ | false | false | self | 1 | null |
Terminal-based implementation with document ingestion? | 5 | I have been using PrivateGPT and it has been great. But I'd like to interact with the system using just the terminal.
Anyone have a suggestion for a terminal-based local GPT project that can also ingest files? Thanks. | 2024-02-17T18:55:26 | https://www.reddit.com/r/LocalLLaMA/comments/1at99m6/terminalbased_implementation_with_document/ | youre__ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at99m6 | false | null | t3_1at99m6 | /r/LocalLLaMA/comments/1at99m6/terminalbased_implementation_with_document/ | false | false | self | 5 | null |
LLaVA for json input and output | 1 | [removed] | 2024-02-17T18:49:35 | https://www.reddit.com/r/LocalLLaMA/comments/1at94lu/llava_for_json_input_and_output/ | Logical-Juggernaut99 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at94lu | false | null | t3_1at94lu | /r/LocalLLaMA/comments/1at94lu/llava_for_json_input_and_output/ | false | false | self | 1 | null |
Improve GPU Memory Utilization? | 2 | Can someone point me in the right direction? I'm not even sure what question to ask exactly.
I have a windows machine running with i7-13700K, 3400 Mhz, 16 cores, 24 Logical Processors (not sure what any of this means). I also have a NVIDIA GeForce RTX 4070.
I tried to download and run Mistral-7B-v0.1 to test th... | 2024-02-17T18:48:38 | https://www.reddit.com/r/LocalLLaMA/comments/1at93to/improve_gpu_memory_utilization/ | Psychological-Ad5390 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at93to | false | null | t3_1at93to | /r/LocalLLaMA/comments/1at93to/improve_gpu_memory_utilization/ | false | false | self | 2 | null |
What is the most cost effective solution to serve a local model? | 4 | I'm exploring different computational options, such as llama.cpp with Intel AMX or vLLM with EAGLE, but haven't reached a conclusion yet due to limited resources. Historically, we shifted to using GPUs because they offered a more cost-effective solution compared to CPUs at that time. However, CPUs are much cheaper than... | 2024-02-17T18:30:39 | https://www.reddit.com/r/LocalLLaMA/comments/1at8oop/what_is_the_most_cost_effective_solution_to_serve/ | OldPin8654 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at8oop | false | null | t3_1at8oop | /r/LocalLLaMA/comments/1at8oop/what_is_the_most_cost_effective_solution_to_serve/ | false | false | self | 4 | null |
Buy Google Voice Accounts | 1 | 2024-02-17T17:59:31 | https://trustreviewsit.com/ | Conscious-Cherry-833 | trustreviewsit.com | 1970-01-01T00:00:00 | 0 | {} | 1at7ycx | false | null | t3_1at7ycx | /r/LocalLLaMA/comments/1at7ycx/buy_google_voice_accounts/ | false | false | default | 1 | null | |
OOM google colab error. | 1 | Suggest some LLM models that won't give me the OOM (Out of Memory) error in the google colab free version, for the text generation task. I am trying to make a chatbot and fine-tune some models such as mistral-7b, and tiny-llama in the Google colab free version, but I'm getting an OOM error. Please suggest some low para... | 2024-02-17T17:52:41 | https://www.reddit.com/r/LocalLLaMA/comments/1at7syl/oom_google_colab_error/ | Babachika_Banana_003 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at7syl | false | null | t3_1at7syl | /r/LocalLLaMA/comments/1at7syl/oom_google_colab_error/ | false | false | self | 1 | null |
Framework for LLM based Simulations - anybody used that? How is it better? | 2 | 2024-02-17T17:49:59 | https://github.com/simulatrex/simulatrex-engine | I_am_unique6435 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1at7qof | false | null | t3_1at7qof | /r/LocalLLaMA/comments/1at7qof/framework_for_llm_based_simulations_anybody_used/ | false | false | default | 2 | {'enabled': False, 'images': [{'id': 'ZZoVj0p1FV4Av7gkRSAwwm_YJ6FMODfidvrk-mTbPVo', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/IE9LCK0LAvCSu7Ri9CgfzPP6r4gy_zo8BGjoblPFUcs.jpg?width=108&crop=smart&auto=webp&s=e3ce8f495d68047db09c6ebe1763c6c0d7c4c370', 'width': 108}, {'height': 216, 'url': '... | |
Constraining Output Format vs Fine Tuning | 2 | What are best practices for constraining output from an LLM?
I'm trying to extract structure from contract documents, for example periods of performance in months. I have a prompt that does a good job returning an integer number of months either by reading months or converting years to months, and that also returns "... | 2024-02-17T17:39:09 | https://www.reddit.com/r/LocalLLaMA/comments/1at7hk5/constraining_output_format_vs_fine_tuning/ | Mbando | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at7hk5 | false | null | t3_1at7hk5 | /r/LocalLLaMA/comments/1at7hk5/constraining_output_format_vs_fine_tuning/ | false | false | self | 2 | null |
What LLM resources, if any, offer a better way to search existing erotic literature for specific story lines and interests? | 2 | Bing's Copilot won't help me search Literotica or other erotica databases and I'm wondering if there are any LLM tools or approaches I could run locally to search erotica better than past methods of looking for tags, keywords, or phrases in hopes of matching a niche interest. There can be so much variation on exactly w... | 2024-02-17T17:37:12 | https://www.reddit.com/r/LocalLLaMA/comments/1at7fy3/what_llm_resources_if_any_offer_a_better_way_to/ | ShywayRobbery | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1at7fy3 | false | null | t3_1at7fy3 | /r/LocalLLaMA/comments/1at7fy3/what_llm_resources_if_any_offer_a_better_way_to/ | false | false | self | 2 | null |
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