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Let's discuss about Groq, which model you use and why. | 97 | 2024-06-02T14:24:47 | Alkatane | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d6egfk | false | null | t3_1d6egfk | /r/LocalLLaMA/comments/1d6egfk/lets_discuss_about_groq_which_model_you_use_and/ | false | false | 97 | {'enabled': True, 'images': [{'id': 'lzOD_3X2tmqIIL094EyOQcPsHDx8BaEOiBlLJpi-hQM', 'resolutions': [{'height': 92, 'url': 'https://preview.redd.it/vcmy5xt7464d1.png?width=108&crop=smart&auto=webp&s=e876ee13d7ee09a285ebfaf498fca537771e31bf', 'width': 108}], 'source': {'height': 123, 'url': 'https://preview.redd.it/vcmy5x... | |||
llama3-V project is stealing a lot of academic work from MiniCPM-Llama3-V 2.5 ? | 2 | original discussion: [https://huggingface.co/openbmb/MiniCPM-Llama3-V-2\_5/discussions/23](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/discussions/23) & [https://x.com/yangzhizheng1](https://x.com/yangzhizheng1)
Several days ago Llama3-V ([https://github.com/mustafaaljadery/llama3v](https://github.com/musta... | 2024-06-02T14:17:35 | https://www.reddit.com/r/LocalLLaMA/comments/1d6eaww/llama3v_project_is_stealing_a_lot_of_academic/ | Delicious-Fly9546 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6eaww | false | null | t3_1d6eaww | /r/LocalLLaMA/comments/1d6eaww/llama3v_project_is_stealing_a_lot_of_academic/ | false | false | 2 | {'enabled': False, 'images': [{'id': 'vJcJ-Ga59DVsJdX1TrO-uPdXEPV2Y54Dy-QrI0HEgy4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/lgZWV4WISIIwewbbfXjyWzEFcmI6wgZUF_tSXWF5otY.jpg?width=108&crop=smart&auto=webp&s=3ef68bb35d7c333572403cec60134d3dc3b535ec', 'width': 108}, {'height': 116, 'url': 'h... | |
Book Chatbot wanted | 0 | Hi,
sorry for the long post that's coming...
I am new to LLaMA but basically I want a LLM with my own data. Creating from scratch is not possible because it is way to expensive (and probably not needed). Other possibilities are "finetuning", "RAG" and "Embeddings". But I don't know which one of these is the best a... | 2024-06-02T14:01:12 | https://www.reddit.com/r/LocalLLaMA/comments/1d6dyqw/book_chatbot_wanted/ | dapansen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6dyqw | false | null | t3_1d6dyqw | /r/LocalLLaMA/comments/1d6dyqw/book_chatbot_wanted/ | false | false | self | 0 | null |
Can I use GPT model like LLaMA3 to FineTuning BERT model to accomplish downstream task like text classification? | 6 | As I mentioned in the title, GPT and BERT models have different structures. GPT models, especially those with a large number of parameters, have outstanding text understanding capabilities. I want to use this capability to label text data and then use this labeled data to fine-tune a BERT model, which is more useful fo... | 2024-06-02T13:38:17 | https://www.reddit.com/r/LocalLLaMA/comments/1d6dieg/can_i_use_gpt_model_like_llama3_to_finetuning/ | Key_Phase_1400 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6dieg | false | null | t3_1d6dieg | /r/LocalLLaMA/comments/1d6dieg/can_i_use_gpt_model_like_llama3_to_finetuning/ | false | false | self | 6 | null |
Deepseek-v2 only answer Chinese! | 1 | [removed] | 2024-06-02T13:28:13 | mehdi199919 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d6dbjt | false | null | t3_1d6dbjt | /r/LocalLLaMA/comments/1d6dbjt/deepseekv2_only_answer_chinese/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'oKSngMupZ2Zxl2uaTHBOG4Dl5WWmW3F4Gmytg8gsGIE', 'resolutions': [{'height': 55, 'url': 'https://preview.redd.it/kythqb6cu54d1.jpeg?width=108&crop=smart&auto=webp&s=bd637878e2cb1a384be37225502f77ba3bdc148d', 'width': 108}, {'height': 111, 'url': 'https://preview.redd.it/kythqb6cu54d1.jp... | ||
Local llama office use. | 16 | Advise on a local llama set up.
Hello everyone,
I manage an office with around 50 employees. I use ChatGPT extensively for many professional tasks, and it has been a huge productivity boost for me. However, I am very cautious about not disclosing sensitive information.
I would like to encourage my staff to use AI w... | 2024-06-02T13:20:44 | https://www.reddit.com/r/LocalLLaMA/comments/1d6d6f4/local_llama_office_use/ | esteboune | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6d6f4 | false | null | t3_1d6d6f4 | /r/LocalLLaMA/comments/1d6d6f4/local_llama_office_use/ | false | false | self | 16 | null |
List of SLMs that can be deployed on embedded devices | 10 | Hi guys, I want to assess the feasibility of deploying GenAI models on embedded devices (mainly STM32MP2x) and I first need to start with a list of suitable models (i.e. RAM < 4GB). I already know TinyLlama ([TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF · Hugging Face](https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0... | 2024-06-02T13:18:56 | https://www.reddit.com/r/LocalLLaMA/comments/1d6d56k/list_of_slms_that_can_be_deployed_on_embedded/ | 4verage3ngineer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6d56k | false | null | t3_1d6d56k | /r/LocalLLaMA/comments/1d6d56k/list_of_slms_that_can_be_deployed_on_embedded/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': '6k2mrA__-UHEjt2yJyO4cpysMyneOG7NK5F1Ob1DMiE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/ktZsMDDBd4Bl84E96h_W7FdyQnnoGx3wkAjNXoFE47M.jpg?width=108&crop=smart&auto=webp&s=5a4fd15e77cefbf5447219905318aa2728707dd1', 'width': 108}, {'height': 116, 'url': 'h... |
VRAM powerhouse | 157 | Sharing my very first attempt (and early result) at building a 4x GPUs Ollama server, as other builds published here have shown me this was possible
This build is based on a Chinese X99 Dual Plus motherboard from AliExpress, 2x Xeon E5-2643v5 12c/24t and the 4x RTX3090FE for a total of 96GB of VRAM :-)
Side note: thi... | 2024-06-02T12:39:03 | ldenel | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d6cefm | false | null | t3_1d6cefm | /r/LocalLLaMA/comments/1d6cefm/vram_powerhouse/ | false | false | 157 | {'enabled': True, 'images': [{'id': '4exovHvkGjM1xuY8o4zwCMygameSroMrFN46AEtShNA', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/ba50f3nkl54d1.jpeg?width=108&crop=smart&auto=webp&s=427fea7cb4ea7406f35495c142def1027065d449', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/ba50f3nkl54d1.jp... | ||
GPU-poor experiments running MoEs on $20 hardware | 38 | This is kind of a followup to a post showing the Milk-V duo sbc: https://old.reddit.com/r/LocalLLaMA/comments/1cpy0w0/tinystories_llm_in_cheap_lowmem_4_computer_from/
I want to highlight some of the benefits of Mixture of Expert models, and also when running models **only** streamed from disc. (known as the mmap infe... | 2024-06-02T12:28:29 | https://www.reddit.com/r/LocalLLaMA/comments/1d6c7v2/gpupoor_experiments_running_moes_on_20_hardware/ | Aaaaaaaaaeeeee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6c7v2 | false | null | t3_1d6c7v2 | /r/LocalLLaMA/comments/1d6c7v2/gpupoor_experiments_running_moes_on_20_hardware/ | false | false | self | 38 | {'enabled': False, 'images': [{'id': 'F_fdmEDOXmue_Q7YL4m6e37LGk4fNvZzI4pEBUpLBYU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jOqJNmJ_kXXuVHlyYDRhtzDpGiKb5qNxLRCLE5_GwNw.jpg?width=108&crop=smart&auto=webp&s=5cca538de360a6f17f173db956fc8b7577115376', 'width': 108}, {'height': 108, 'url': 'h... |
When an LLM should and should not be used | 48 | I would argue that in order for LLMs to be used, the following 3 conditions have to be met:
1. An accuracy of 95% is good enough
2. We can reasonably assume that the train set contained something that is at least somewhat similar to the given task
3. The LLM is prompted well
There are many situations where all 3 cond... | 2024-06-02T12:21:30 | https://www.reddit.com/r/LocalLLaMA/comments/1d6c3dc/when_an_llm_should_and_should_not_be_used/ | Timotheeee1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6c3dc | false | null | t3_1d6c3dc | /r/LocalLLaMA/comments/1d6c3dc/when_an_llm_should_and_should_not_be_used/ | false | false | self | 48 | null |
Service Award for OIJ: Operation Infinite Jank (and detailed P40 setup tutorial) | 1 | [removed] | 2024-06-02T11:57:08 | https://www.reddit.com/r/LocalLLaMA/comments/1d6boew/service_award_for_oij_operation_infinite_jank_and/ | False_Grit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6boew | false | null | t3_1d6boew | /r/LocalLLaMA/comments/1d6boew/service_award_for_oij_operation_infinite_jank_and/ | false | false | self | 1 | null |
"Mobile APP and LLMs: Understanding Codebases as a Script-Monkey" | 1 | [removed] | 2024-06-02T11:33:01 | https://www.reddit.com/r/LocalLLaMA/comments/1d6bank/mobile_app_and_llms_understanding_codebases_as_a/ | Financial_Bed6796 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6bank | false | null | t3_1d6bank | /r/LocalLLaMA/comments/1d6bank/mobile_app_and_llms_understanding_codebases_as_a/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'BcRpPi52ZaKTSP181LXh6AJvWJcbJAakCFbU2uUofs0', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/XjojvgiMWErKsko3UFMYGSGQ7FMZWl6n-jCrcseny3g.jpg?width=108&crop=smart&auto=webp&s=cc9c7265bb6a2e8a7c8441e894198435fa6f53a6', 'width': 108}, {'height': 113, 'url': 'h... |
Custom ollama llama 3 model | 1 | [removed] | 2024-06-02T11:00:38 | https://www.reddit.com/r/LocalLLaMA/comments/1d6ask4/custom_ollama_llama_3_model/ | TheRizzler2306 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6ask4 | false | null | t3_1d6ask4 | /r/LocalLLaMA/comments/1d6ask4/custom_ollama_llama_3_model/ | false | false | self | 1 | null |
Need help in re-training GPT2 with a new dataset | 1 | [removed] | 2024-06-02T11:00:13 | https://www.reddit.com/r/LocalLLaMA/comments/1d6as8m/need_help_in_retraining_gpt2_with_a_new_dataset/ | YogurtclosetTasty632 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6as8m | false | null | t3_1d6as8m | /r/LocalLLaMA/comments/1d6as8m/need_help_in_retraining_gpt2_with_a_new_dataset/ | false | false | self | 1 | null |
One of the craziest and most important paper that'll for sure help our opensource community | 1 | [removed] | 2024-06-02T10:54:40 | https://www.reddit.com/r/LocalLLaMA/comments/1d6apfy/one_of_the_craziest_and_most_important_paper/ | WaldToonnnnn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6apfy | false | null | t3_1d6apfy | /r/LocalLLaMA/comments/1d6apfy/one_of_the_craziest_and_most_important_paper/ | false | false | self | 1 | null |
Codellama 70b (instruct) won't stop generating when hitting stop on OpenWebUI | 0 | I'm having trouble with `codellama:70b` when using the OpenWebUI. Specifically, it doesn't stop generating text even after hitting the stop command.
The model starts and runs fine, but when I issue a stop command, it only stops when the max tokens are returned. For example:
Even with the stop sequence set, it keeps g... | 2024-06-02T10:27:47 | https://www.reddit.com/r/LocalLLaMA/comments/1d6abk9/codellama_70b_instruct_wont_stop_generating_when/ | chrisoutwright | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6abk9 | false | null | t3_1d6abk9 | /r/LocalLLaMA/comments/1d6abk9/codellama_70b_instruct_wont_stop_generating_when/ | false | false | self | 0 | null |
Lmstudio | 1 | [removed] | 2024-06-02T10:15:22 | https://www.reddit.com/r/LocalLLaMA/comments/1d6a5bf/lmstudio/ | Low_Egg4701 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6a5bf | false | null | t3_1d6a5bf | /r/LocalLLaMA/comments/1d6a5bf/lmstudio/ | false | false | self | 1 | null |
p40 vs p100 fp16 gguf | 12 | 2024-06-02T09:47:50 | https://www.reddit.com/user/Evening_Ad6637/comments/1d69quz/p40_vs_p100_in_fp16_gguf/ | Evening_Ad6637 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1d69rdf | false | null | t3_1d69rdf | /r/LocalLLaMA/comments/1d69rdf/p40_vs_p100_fp16_gguf/ | false | false | default | 12 | null | |
p40 vs p100 fp16 gguf | 1 | [removed] | 2024-06-02T09:18:50 | https://www.reddit.com/r/LocalLLaMA/comments/1d69dbx/p40_vs_p100_fp16_gguf/ | Evening_Ad6637 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d69dbx | false | null | t3_1d69dbx | /r/LocalLLaMA/comments/1d69dbx/p40_vs_p100_fp16_gguf/ | false | false | self | 1 | null |
p40 vs p100 fp16 gguf | 1 | [removed] | 2024-06-02T09:09:57 | https://www.reddit.com/r/LocalLLaMA/comments/1d698uz/p40_vs_p100_fp16_gguf/ | Evening_Ad6637 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d698uz | false | null | t3_1d698uz | /r/LocalLLaMA/comments/1d698uz/p40_vs_p100_fp16_gguf/ | false | false | self | 1 | null |
If Meta open sourced Llama 3.. how more powerful their closed models are? | 0 | I've always been wandering at this concept: if company open source a technology, they are just showcasing a fraction of what they have behind the scenes. It could seem obvious as a thing, but it fascinates me.
Back in 2017 when Google showcased Transformers, that was one of the first things I was thinking of.
It's al... | 2024-06-02T09:05:17 | https://www.reddit.com/r/LocalLLaMA/comments/1d696my/if_meta_open_sourced_llama_3_how_more_powerful/ | masc98 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d696my | false | null | t3_1d696my | /r/LocalLLaMA/comments/1d696my/if_meta_open_sourced_llama_3_how_more_powerful/ | false | false | self | 0 | null |
p40 vs p100 in fp16 gguf | 1 | [removed] | 2024-06-02T09:00:39 | https://www.reddit.com/r/LocalLLaMA/comments/1d6944e/p40_vs_p100_in_fp16_gguf/ | Evening_Ad6637 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6944e | false | null | t3_1d6944e | /r/LocalLLaMA/comments/1d6944e/p40_vs_p100_in_fp16_gguf/ | false | false | self | 1 | null |
p40 vs p100 fp16 gguf | 1 | [removed] | 2024-06-02T08:47:49 | https://www.reddit.com/r/LocalLLaMA/comments/1d68xw9/p40_vs_p100_fp16_gguf/ | Evening_Ad6637 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d68xw9 | false | null | t3_1d68xw9 | /r/LocalLLaMA/comments/1d68xw9/p40_vs_p100_fp16_gguf/ | false | false | self | 1 | null |
what's the most efficient runner for mac? | 0 | I've always been runing ollama. It's super easy to get through the inferencing door. athe question is - is it the fastest way for mac?
Got m2 max 96gb ram. Running command-r-plus at q4 gives me roughly 3-4t/s it's slightly too slow (5-7 is fine for me). So if there was a but more efficient way than ollama I'd hit my s... | 2024-06-02T08:47:42 | https://www.reddit.com/r/LocalLLaMA/comments/1d68xue/whats_the_most_efficient_runner_for_mac/ | kweglinski | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d68xue | false | null | t3_1d68xue | /r/LocalLLaMA/comments/1d68xue/whats_the_most_efficient_runner_for_mac/ | false | false | self | 0 | null |
How to efficiently find the probable k APls before function calling and stay within token limits? | 3 | I'm looking for an efficient method to identify customer query intent and select the appropriate API from a large set. Function calling works well with a limited number of APls, but it fails with too many. tried using a sentence transformer (l6-v2) to find the top k APls before function calling, but it struggles with c... | 2024-06-02T08:31:19 | https://www.reddit.com/r/LocalLLaMA/comments/1d68q36/how_to_efficiently_find_the_probable_k_apls/ | Top-Handle-5728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d68q36 | false | null | t3_1d68q36 | /r/LocalLLaMA/comments/1d68q36/how_to_efficiently_find_the_probable_k_apls/ | false | false | self | 3 | null |
FineWeb technical report + FineWeb-Edu, a 1.3 trillion tokens dataset | 74 | 2024-06-02T08:14:06 | https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1 | Nunki08 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1d68hvq | false | null | t3_1d68hvq | /r/LocalLLaMA/comments/1d68hvq/fineweb_technical_report_finewebedu_a_13_trillion/ | false | false | 74 | {'enabled': False, 'images': [{'id': 'jP0wsOJkrn5iiSpkccat2F_FtHBCfsJfR07LuUv39Mw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/_g0DgTEfnYw0QKujowEwzAVLxTCc83I_y3bUWfVOIu0.jpg?width=108&crop=smart&auto=webp&s=d0934792a0f29bf9a91de3dba274b1d05fdc975c', 'width': 108}, {'height': 109, 'url': 'h... | ||
How to distill an LLM? | 10 | Hello guys. I have a custom fine-tuned LLaMA 2 7B model and a massive dataset of instructions and novels in raw format. I want to turn my 7B model into a 3B model (it’s called distillation) without any pain. Do you know how to make it? I would very much appreciate any step-by-step tutorials (with code). Thank you
Note... | 2024-06-02T08:06:38 | https://www.reddit.com/r/LocalLLaMA/comments/1d68e8x/how_to_distill_an_llm/ | yukiarimo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d68e8x | false | null | t3_1d68e8x | /r/LocalLLaMA/comments/1d68e8x/how_to_distill_an_llm/ | false | false | self | 10 | null |
Best tool to create a fine tune model / generating synthetic data | 14 | Hi everyone,
I have a prompt that works well on big (expensive) models. However I’d like to make a fine tuned smaller model based on something like Phi3 or Llama3-7b.
Goal would be to improve speed (including reducing prompt size, and min viable model size), and be able to run it locally for privacy/speed.
Are the... | 2024-06-02T07:57:14 | https://www.reddit.com/r/LocalLLaMA/comments/1d689hv/best_tool_to_create_a_fine_tune_model_generating/ | davernow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d689hv | false | null | t3_1d689hv | /r/LocalLLaMA/comments/1d689hv/best_tool_to_create_a_fine_tune_model_generating/ | false | false | self | 14 | null |
[Tried Llama3 but no luck] Open-source LLM models for classification with predetermined categories | 1 | [removed] | 2024-06-02T07:43:47 | https://www.reddit.com/r/LocalLLaMA/comments/1d682xd/tried_llama3_but_no_luck_opensource_llm_models/ | wmaiouiru | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d682xd | false | null | t3_1d682xd | /r/LocalLLaMA/comments/1d682xd/tried_llama3_but_no_luck_opensource_llm_models/ | false | false | self | 1 | null |
Is Phi-3 medium worth it? | 1 | [removed]
[View Poll](https://www.reddit.com/poll/1d67zup) | 2024-06-02T07:37:13 | https://www.reddit.com/r/LocalLLaMA/comments/1d67zup/is_phi3_medium_worth_it/ | qualaric | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d67zup | false | null | t3_1d67zup | /r/LocalLLaMA/comments/1d67zup/is_phi3_medium_worth_it/ | false | false | self | 1 | null |
Share My Personal Memory-enabled AI Companion Used for Half Year | 285 | I'm about to share my memory-enabled AI companion used for half year already: https://github.com/v2rockets/Loyal-Elephie.
It was really useful for me during this period of time. I always share some of my emotional moments and misc thoughts when it is inconvinient to share with other people. When I decided to develop ... | 2024-06-02T06:38:14 | https://www.reddit.com/r/LocalLLaMA/comments/1d675o5/share_my_personal_memoryenabled_ai_companion_used/ | Fluid_Intern5048 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d675o5 | false | null | t3_1d675o5 | /r/LocalLLaMA/comments/1d675o5/share_my_personal_memoryenabled_ai_companion_used/ | false | false | 285 | {'enabled': False, 'images': [{'id': 'TV958RTCOpHUzG9u_OKQsCrX8atDq06GnrjrhGFWEik', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/zHc_7LL1kXWMYHuBJQtu0Knl_KHVqXysWN_NF2qSV7I.jpg?width=108&crop=smart&auto=webp&s=0ae4965194c380f79188303a817a0b35a11b9b7c', 'width': 108}, {'height': 108, 'url': 'h... | |
If we assume that 1 token ~= 4 chars in English, 1 token ~= ¾ words, 100 tokens ~= 75 words. Average adult reading speed in English is 175-320 words/ minute so 234-426 tokens/minute. Thus, average human reading speed is 4-7 tokens / second. | 101 | https://www.sciencedirect.com/science/article/abs/pii/S0749596X19300786 | 2024-06-02T05:58:07 | https://www.reddit.com/gallery/1d66k9f | No_Chain_2725 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1d66k9f | false | null | t3_1d66k9f | /r/LocalLLaMA/comments/1d66k9f/if_we_assume_that_1_token_4_chars_in_english_1/ | false | false | 101 | null | |
Hugging Face says it detected ‘unauthorized access’ to its AI model hosting platform | 1 | Late Friday afternoon, a time window companies usually reserve for unflattering disclosures, AI startup Hugging Face said that its security team earlier this week detected “unauthorized access” to Spaces, Hugging Face’s platform for creating, sharing, and hosting AI models and resources.
[https://huggingface.co/blog/s... | 2024-06-02T05:24:33 | https://www.reddit.com/r/LocalLLaMA/comments/1d66270/hugging_face_says_it_detected_unauthorized_access/ | MajesticFigure4240 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d66270 | false | null | t3_1d66270 | /r/LocalLLaMA/comments/1d66270/hugging_face_says_it_detected_unauthorized_access/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'ykF9GKdJzVyzheBOtnOMhlKTG6DeyRiHND5PLUscqAE', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/aupDcdJJdgklMJpexoCB9tWELzBvRkduAZRzYWZBMCI.jpg?width=108&crop=smart&auto=webp&s=0e7d6c99d93563eebac1bb5dcd77c022ff88094e', 'width': 108}, {'height': 112, 'url': 'h... |
Context Used Deviation Between System Prompt and Input Prompt | 2 | I have a prompt containing large text and it consumes about 47k tokens and it works great. But since I want to make it as system prompt, then I put the sampe text as system prompt with it's really small system contexts. How it could be on system prompt doubled to ±96k than on usual input prompt? The output is just nea... | 2024-06-02T05:22:40 | https://www.reddit.com/r/LocalLLaMA/comments/1d6616g/context_used_deviation_between_system_prompt_and/ | koesn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6616g | false | null | t3_1d6616g | /r/LocalLLaMA/comments/1d6616g/context_used_deviation_between_system_prompt_and/ | false | false | 2 | null | |
Quantization Loss in LLM Programming Capabilities | 1 | [removed] | 2024-06-02T05:20:06 | https://www.reddit.com/r/LocalLLaMA/comments/1d65zra/quantization_loss_in_llm_programming_capabilities/ | Zor-X-L | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d65zra | false | null | t3_1d65zra | /r/LocalLLaMA/comments/1d65zra/quantization_loss_in_llm_programming_capabilities/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'js1odsGoFxya0rgKEbJUATiv5GWr-vd8Q052-2IA7H8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/CQrsBaP38dcSNe9Hb4GevdFx-ag6jSr_RsdicWeFCyo.jpg?width=108&crop=smart&auto=webp&s=892c4451e714013b4c0dd9cd3aa4033e53db5f56', 'width': 108}, {'height': 108, 'url': 'h... |
You may live to see man-made horrors beyond your comprehension to compete with Nvidia | 1 | https://www.tomshardware.com/pc-components/cpus/worlds-first-bioprocessor-uses-16-human-brain-organoids-for-a-million-times-less-power-consumption-than-a-digital-chip | 2024-06-02T05:07:40 | No_Chain_2725 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d65t3c | false | null | t3_1d65t3c | /r/LocalLLaMA/comments/1d65t3c/you_may_live_to_see_manmade_horrors_beyond_your/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'V9bMEepBM1fLq12qZ6R3Gbslbn_zEUxpb5dDa5Z0q1g', 'resolutions': [{'height': 201, 'url': 'https://preview.redd.it/5hds2nc1d34d1.png?width=108&crop=smart&auto=webp&s=0550c61d3ced7382abdd47026a7592189bd17280', 'width': 108}, {'height': 402, 'url': 'https://preview.redd.it/5hds2nc1d34d1.pn... | ||
What would be the ultimate LocalLLaMA PC/Server Build? | 1 | [removed] | 2024-06-02T04:39:21 | Austinitered | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d65ds9 | false | null | t3_1d65ds9 | /r/LocalLLaMA/comments/1d65ds9/what_would_be_the_ultimate_localllama_pcserver/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'NITX8NVAzoqqt8ko-d-zcUMQN6EPs6CjfaYmvwC12pU', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/8umjvglz734d1.png?width=108&crop=smart&auto=webp&s=7836f24d579efabc1b3089de1775612526b8feb2', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/8umjvglz734d1.pn... | ||
Andrew Ng standing up for Open source. He is very big in the AI agents scene which might be considered more risky than Oracle like LLMs by doomers and regulators so his support is great. | 1 | [removed] | 2024-06-02T04:34:28 | https://www.reddit.com/gallery/1d65b2w | No_Chain_2725 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1d65b2w | false | null | t3_1d65b2w | /r/LocalLLaMA/comments/1d65b2w/andrew_ng_standing_up_for_open_source_he_is_very/ | false | false | 1 | null | |
Is there a database of models, GPUs + Macs, and tokens/s? | 17 | Is there some sort of database where we can find tokens per second for different GPUs and Macs with different RAM capacity and their corresponding tokens per second? | 2024-06-02T04:07:49 | https://www.reddit.com/r/LocalLLaMA/comments/1d64w50/is_there_a_database_of_models_gpus_macs_and/ | auradragon1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d64w50 | false | null | t3_1d64w50 | /r/LocalLLaMA/comments/1d64w50/is_there_a_database_of_models_gpus_macs_and/ | false | false | self | 17 | null |
I need a multimodal AI | 0 | Hello guys. I have my own fine-tuning of LLaMA 2 7B on a very huge dataset (so I also have a LoRA adapter). I have a few questions:
1. Can I apply my LoRA adapter to an existing LLaVA model to not re-train it?
2. Are there are any other models besides text+image models?
3. I heard about anyGPT. Can I run it locally on... | 2024-06-02T02:19:54 | https://www.reddit.com/r/LocalLLaMA/comments/1d631tm/i_need_a_multimodal_ai/ | yukiarimo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d631tm | false | null | t3_1d631tm | /r/LocalLLaMA/comments/1d631tm/i_need_a_multimodal_ai/ | false | false | self | 0 | null |
Why is LLaMA 3 405B taking so long to be fine tuned? | 143 | I think they want it to be competitive with:
GPT 4.5, Gemini 1.5 Ultra and Claude 3.5 Opus.
Maybe they are safety testing it a lot more since they are worried about releasing a SOTA open source model which might provoke a reaction from doomers and regulators if something undesirable happens.
Hopefully Zuckerberg doe... | 2024-06-02T02:12:03 | https://www.reddit.com/r/LocalLLaMA/comments/1d62wut/why_is_llama_3_405b_taking_so_long_to_be_fine/ | No_Chain_2725 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d62wut | false | null | t3_1d62wut | /r/LocalLLaMA/comments/1d62wut/why_is_llama_3_405b_taking_so_long_to_be_fine/ | false | false | self | 143 | null |
Implementing "Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet" paper for open source models. | 1 | [removed] | 2024-06-02T02:03:25 | https://www.reddit.com/r/LocalLLaMA/comments/1d62rj8/implementing_scaling_monosemanticity_extracting/ | No-Point1424 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d62rj8 | false | null | t3_1d62rj8 | /r/LocalLLaMA/comments/1d62rj8/implementing_scaling_monosemanticity_extracting/ | false | false | self | 1 | null |
Code for knowledge distillation | 7 | Is there any sort of open toolset to do knowledge distillation on models? I. E. Do knowledge distillation (training with latent probs) from Llama 70b to 8b? | 2024-06-02T01:29:09 | https://www.reddit.com/r/LocalLLaMA/comments/1d6257u/code_for_knowledge_distillation/ | Aischylos | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6257u | false | null | t3_1d6257u | /r/LocalLLaMA/comments/1d6257u/code_for_knowledge_distillation/ | false | false | self | 7 | null |
Is it a waste to store model files on an m2 drive if an HDD is available on the system? | 0 | If model startup is not an issue does the response speed from prompts make a difference? | 2024-06-02T01:21:40 | https://www.reddit.com/r/LocalLLaMA/comments/1d620kv/is_it_a_waste_to_store_model_files_on_an_m2_drive/ | Sand-Discombobulated | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d620kv | false | null | t3_1d620kv | /r/LocalLLaMA/comments/1d620kv/is_it_a_waste_to_store_model_files_on_an_m2_drive/ | false | false | self | 0 | null |
Is leCun being dishonest here? | 1 | [removed] | 2024-06-02T01:03:12 | randomrealname | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d61obg | false | null | t3_1d61obg | /r/LocalLLaMA/comments/1d61obg/is_lecun_being_dishonest_here/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'UkLBkU4W8HnrINW9jQnD8pANRyGeUW843H3Yrs2_8RE', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/9zau5gcf524d1.jpeg?width=108&crop=smart&auto=webp&s=e674cfc886367ff59a51596ce542a17ee6092d10', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/9zau5gcf524d1.j... | ||
Large context slows down responses (exlama / textgenui) | 0 | ive been met with this issue in text gen ui. the main issue is when the llm reaches a certain context the responses take 5 seconds to initiate and become extremely slow. the only way to resolve this is by deleting the chat and starting a new one. this is also evident in the api whcih is why i had to code a certain hist... | 2024-06-02T00:02:06 | https://www.reddit.com/r/LocalLLaMA/comments/1d60ili/large_context_slows_down_responses_exlama/ | TestHealthy2777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d60ili | false | null | t3_1d60ili | /r/LocalLLaMA/comments/1d60ili/large_context_slows_down_responses_exlama/ | false | false | self | 0 | null |
Detailed P40 setup guide | 1 | [removed] | 2024-06-01T23:44:53 | https://www.reddit.com/r/LocalLLaMA/comments/1d6065g/detailed_p40_setup_guide/ | False_Grit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6065g | false | null | t3_1d6065g | /r/LocalLLaMA/comments/1d6065g/detailed_p40_setup_guide/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'BSJREAk9n3L3BW5Uo9rqN16V0_Bp6mWcepf1XqKjIM8', 'resolutions': [{'height': 48, 'url': 'https://external-preview.redd.it/Bt9o0jYI6uyWkAeFdVqdmsl5P074yJzpSkspVPR7_VM.jpg?width=108&crop=smart&auto=webp&s=fdbc335dbea74ff85e5e8da9e73b5a98352c8830', 'width': 108}, {'height': 96, 'url': 'ht... |
Best place to get GPU for training from? | 1 | [removed] | 2024-06-01T23:36:43 | https://www.reddit.com/r/LocalLLaMA/comments/1d6006g/best_place_to_get_gpu_for_training_from/ | rmomcallsmedad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d6006g | false | null | t3_1d6006g | /r/LocalLLaMA/comments/1d6006g/best_place_to_get_gpu_for_training_from/ | false | false | self | 1 | null |
What is the best place to rent a GPU for model training? | 1 | [removed] | 2024-06-01T23:33:25 | https://www.reddit.com/r/LocalLLaMA/comments/1d5zxw3/what_is_the_best_place_to_rent_a_gpu_for_model/ | rmomcallsmedad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5zxw3 | false | null | t3_1d5zxw3 | /r/LocalLLaMA/comments/1d5zxw3/what_is_the_best_place_to_rent_a_gpu_for_model/ | false | false | self | 1 | null |
LLama V2 answering its own questions and talking to itself | 0 | I'm currently trying to build a chat bot using Llama 2 Chat 70B, and after a few prompts it seems to start talking to itself, placing \[INST\] and </s> tags in its answer as it goes. I'm calling the model from AWS bedrock via an API, is there anyway to implement some sort of stop token?? | 2024-06-01T23:30:28 | https://www.reddit.com/r/LocalLLaMA/comments/1d5zvn8/llama_v2_answering_its_own_questions_and_talking/ | SaucyPandy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5zvn8 | false | null | t3_1d5zvn8 | /r/LocalLLaMA/comments/1d5zvn8/llama_v2_answering_its_own_questions_and_talking/ | false | false | self | 0 | null |
Could an LLM be etched into silicon? | 24 | Is it feasible to implement a large language model (LLM) directly in hardware, such as by designing a custom chip or using a field-programmable gate array (FPGA), rather than running the model on general-purpose processors? | 2024-06-01T23:10:47 | https://www.reddit.com/r/LocalLLaMA/comments/1d5zhhv/could_an_llm_be_etched_into_silicon/ | estebansaa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5zhhv | false | null | t3_1d5zhhv | /r/LocalLLaMA/comments/1d5zhhv/could_an_llm_be_etched_into_silicon/ | false | false | self | 24 | null |
Is ChatGPT 4o the only LLM that can code + execute its own code? | 0 | I have no coding expertise or interest.
For fun, I'm trying to see if I can program an LLM to predict sports games. That likely requires it to do machine learning, so ChatGPT not only creates python apps, it'll execute them within its own environment.
It can also ingest CSVs and XLSX.
Unfortunately, ChatGPT... | 2024-06-01T22:29:38 | https://www.reddit.com/r/LocalLLaMA/comments/1d5ynai/is_chatgpt_4o_the_only_llm_that_can_code_execute/ | Emperor-Kebab | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5ynai | false | null | t3_1d5ynai | /r/LocalLLaMA/comments/1d5ynai/is_chatgpt_4o_the_only_llm_that_can_code_execute/ | false | false | self | 0 | null |
What if gpt4-o was a bitnet gpt4? | 32 | While we are still stuck on 7B taking 24GB vram...
In theory we can run 7B in 1.8GB with a theoretical no loss in perf. But maybe in practice there is a drop in performance. And the authors of bitnet said it should be fairly easy to drop it in and with minimal code changes. Apart from the optimized kernels.
Best impl... | 2024-06-01T22:26:10 | https://www.reddit.com/r/LocalLLaMA/comments/1d5yktb/what_if_gpt4o_was_a_bitnet_gpt4/ | Eastwindy123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5yktb | false | null | t3_1d5yktb | /r/LocalLLaMA/comments/1d5yktb/what_if_gpt4o_was_a_bitnet_gpt4/ | false | false | self | 32 | null |
Hypothetically | 1 | [removed] | 2024-06-01T22:24:11 | https://www.reddit.com/r/LocalLLaMA/comments/1d5yjcb/hypothetically/ | boshbus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5yjcb | false | null | t3_1d5yjcb | /r/LocalLLaMA/comments/1d5yjcb/hypothetically/ | false | false | self | 1 | null |
It started with a simple ChatGPT request and ended with ChatGPT schooling me. Can any other model do this? | 0 | I'm getting lazy and feeding text processing commands into GPT when I could easily do this with standard commands.
After I get the answer, I ask for the command to do this, and explore some of the syntax with GPT.
As a test, I'd be glad if you ran your favourite model through the same sequence to see how well it does... | 2024-06-01T22:12:08 | https://www.reddit.com/r/LocalLLaMA/comments/1d5ya0n/it_started_with_a_simple_chatgpt_request_and/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5ya0n | false | null | t3_1d5ya0n | /r/LocalLLaMA/comments/1d5ya0n/it_started_with_a_simple_chatgpt_request_and/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '2w_rkyQ3BWK6Asx2BGrOb1-Pw-vVHOrItDRNEbEsOtM', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/G3IV4O7pVgcUCyakIjVe1t17f0e_P8_K64a1LJRBnd8.jpg?width=108&crop=smart&auto=webp&s=e910ff55aee46ac3668a1167b2d7d6bdfb084af6', 'width': 108}, {'height': 121, 'url': 'h... |
Bandwidth usage between dual GPU | 1 | [removed] | 2024-06-01T21:23:15 | https://www.reddit.com/r/LocalLLaMA/comments/1d5x85q/bandwidth_usage_between_dual_gpu/ | waltercrypto | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5x85q | false | null | t3_1d5x85q | /r/LocalLLaMA/comments/1d5x85q/bandwidth_usage_between_dual_gpu/ | false | false | self | 1 | null |
Using an LLM to Scan and Analyze a Book for Summaries and Q&A: How Do I Get Started? | 1 | [removed] | 2024-06-01T21:12:14 | https://www.reddit.com/r/LocalLLaMA/comments/1d5wzqh/using_an_llm_to_scan_and_analyze_a_book_for/ | Individual_Row_9419 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5wzqh | false | null | t3_1d5wzqh | /r/LocalLLaMA/comments/1d5wzqh/using_an_llm_to_scan_and_analyze_a_book_for/ | false | false | self | 1 | null |
Dual gpu bandwidth usage on PCIe bus | 1 | [removed] | 2024-06-01T21:00:24 | https://www.reddit.com/r/LocalLLaMA/comments/1d5wqf1/dual_gpu_bandwidth_usage_on_pcie_bus/ | waltercrypto | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5wqf1 | false | null | t3_1d5wqf1 | /r/LocalLLaMA/comments/1d5wqf1/dual_gpu_bandwidth_usage_on_pcie_bus/ | false | false | self | 1 | null |
Memory Management BSOD when loading some EXL2 model? | 1 | So I bought 2 3090’s and set them up in a spare server so I could run 70B models.
I have oobabooga for the loading of the models.
I downloaded midnight miqu 1.5 70B in the 4.0bpw and 4.5bpw exl2 quants…
The 4.0bpw one I can load on them fine even with 32k context. However, when trying to load the 4.5bpw version even... | 2024-06-01T20:44:39 | https://www.reddit.com/r/LocalLLaMA/comments/1d5weoc/memory_management_bsod_when_loading_some_exl2/ | DeSibyl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5weoc | false | null | t3_1d5weoc | /r/LocalLLaMA/comments/1d5weoc/memory_management_bsod_when_loading_some_exl2/ | false | false | self | 1 | null |
Is there an open source LLM that explains concepts visually? | 39 | I learnt about [https://www.eraser.io/diagramgpt](https://www.eraser.io/diagramgpt)
I am looking for an open source LLM that explain concepts visually.
For ex:
Input: Explain Kubernetes networking
Expected Output:
A mindmap/visual output
1. An image with different nodes
2. Some text below each node and connect... | 2024-06-01T20:38:38 | https://www.reddit.com/r/LocalLLaMA/comments/1d5wa15/is_there_an_open_source_llm_that_explains/ | Comprehensive_Tap64 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5wa15 | false | null | t3_1d5wa15 | /r/LocalLLaMA/comments/1d5wa15/is_there_an_open_source_llm_that_explains/ | false | false | self | 39 | {'enabled': False, 'images': [{'id': 'jX2IMyUMuy7bcm_HXTzlBd1rty4DaXJ4s6_LGgxKqjM', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/n-amo52SaRJZo4JaItoqV6iPZAVsYR1xnEHQW6z_BuQ.jpg?width=108&crop=smart&auto=webp&s=46dbcc2bd2478dedab7b9fa542093afa0742777f', 'width': 108}, {'height': 112, 'url': 'h... |
So I bought second 3090, here are my results Llama 3 70b results ollama and vllm (and how to run it) | 124 | Hi all,
Just bought second 3090, to run Llama 3 70b 4b quants. With single 3090 I got only about 2t/s and I wanted more.
https://preview.redd.it/ozh6n1xjp04d1.jpg?width=3072&format=pjpg&auto=webp&s=b6bbe925a3854febcb75ac8f85bfbbc1dbf59a21
My current setup is:
CPU Ryzen 3700x
MOBO MSI X470 gaming plus
RAM so... | 2024-06-01T20:21:47 | https://www.reddit.com/r/LocalLLaMA/comments/1d5vxe7/so_i_bought_second_3090_here_are_my_results_llama/ | koibKop4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5vxe7 | false | null | t3_1d5vxe7 | /r/LocalLLaMA/comments/1d5vxe7/so_i_bought_second_3090_here_are_my_results_llama/ | false | false | 124 | null | |
I Tested 12 Popular AI Models with a 65-Question Exam - Surprising Results! | 13 | [12 Different Models \(Table Made By Gemini 1.5\)](https://preview.redd.it/5wa4knn5o04d1.png?width=606&format=png&auto=webp&s=767b2559ef7cac256801584e4a2a08756fbb8b42)
Hi everyone,
I recently conducted a test to compare the performance of 12 different AI models. Using a custom-made 65-question exam, I evaluated each ... | 2024-06-01T20:10:11 | https://www.reddit.com/r/LocalLLaMA/comments/1d5vohr/i_tested_12_popular_ai_models_with_a_65question/ | Fair_Cook_819 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5vohr | false | null | t3_1d5vohr | /r/LocalLLaMA/comments/1d5vohr/i_tested_12_popular_ai_models_with_a_65question/ | false | false | self | 13 | null |
Best Local LLM for Open Interpreter?? | 1 | [removed] | 2024-06-01T19:53:17 | https://www.reddit.com/r/LocalLLaMA/comments/1d5vaie/best_local_llm_for_open_interpreter/ | Ni_Guh_69 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5vaie | false | null | t3_1d5vaie | /r/LocalLLaMA/comments/1d5vaie/best_local_llm_for_open_interpreter/ | false | false | self | 1 | null |
eGPU for LLM inferencing | 6 | Does anyone have a eGPU?
Which card are you running on that?
which llms are you running 7b, 13b, 22b, 70b?
and what performance are you getting out of the card for those models on the eGPU.
Since all the weights get loaded into the vram for inferencing and stay there as long as inference is taking place
the 40Gbps... | 2024-06-01T19:50:30 | https://www.reddit.com/r/LocalLLaMA/comments/1d5v873/egpu_for_llm_inferencing/ | Omnic19 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5v873 | false | null | t3_1d5v873 | /r/LocalLLaMA/comments/1d5v873/egpu_for_llm_inferencing/ | false | false | self | 6 | null |
How do 120B models work? | 9 | If A model like Goliath 120b is really just two 70b parameter models combined wouldn't the resulting merged model have 140 billion parameters instead of just 120? I guess my question is what happens to the other 20 billion parameters? 🧐🤔 | 2024-06-01T19:14:18 | https://www.reddit.com/r/LocalLLaMA/comments/1d5ug1t/how_do_120b_models_work/ | RekTek4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5ug1t | false | null | t3_1d5ug1t | /r/LocalLLaMA/comments/1d5ug1t/how_do_120b_models_work/ | false | false | self | 9 | null |
Kobold CPP Frankenstein with KV cache Q8_0 enabled is here! | 76 | Just fresh from this saturday !
Cuda version only, and KV Q8\_0 enabled by default.
Which means, in layman's terms, that the context size is halved in your graphic card VRAM (more like -45% actually).
[https://github.com/Nexesenex/kobold.cpp/releases/tag/v1.67a\_b3063](https://github.com/Nexesenex/kobold.cpp/releas... | 2024-06-01T19:08:35 | https://www.reddit.com/r/LocalLLaMA/comments/1d5ubcu/kobold_cpp_frankenstein_with_kv_cache_q8_0/ | Nexesenex | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5ubcu | false | null | t3_1d5ubcu | /r/LocalLLaMA/comments/1d5ubcu/kobold_cpp_frankenstein_with_kv_cache_q8_0/ | false | false | self | 76 | {'enabled': False, 'images': [{'id': 'NIj6Nrj3sahfgUYWYyG7CY0Pc6NfUy4fnaTTdr-J8qY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/dK9vAZsfcK_xd_CFQy5giCq8LkiOkMe18J2GA9N9vpw.jpg?width=108&crop=smart&auto=webp&s=02f47674c428b0d03626c67bc1e113f51abce542', 'width': 108}, {'height': 108, 'url': 'h... |
No code platform for fine-tuning on custom dataset along with quantization | 1 | [removed] | 2024-06-01T19:06:12 | https://youtu.be/KLhIFumQnuY?si=Gc7vKpD5JOhDF2Qc | Nandakishor_ml | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1d5u9kv | false | {'oembed': {'author_name': 'Generative AI With Nandakishor ', 'author_url': 'https://www.youtube.com/@GenAIWithNandakishor', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/KLhIFumQnuY?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-wri... | t3_1d5u9kv | /r/LocalLLaMA/comments/1d5u9kv/no_code_platform_for_finetuning_on_custom_dataset/ | false | false | 1 | {'enabled': False, 'images': [{'id': '2Mq4t88ykFfUhIIGIAw4FQU6NW5EKNRk_UKVawDJVjg', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/uNo28mGuc54rV2Bm1frCest25zzlQIS1zTZeiZYLXSE.jpg?width=108&crop=smart&auto=webp&s=5ff273e95b45c3516032870805e96586bf53b1b9', 'width': 108}, {'height': 162, 'url': 'h... | |
Amd Epyc Genoa | 15 |
I have a quick question because I’ve seen that epyc 4th gen can have up to 12 channels of ddr5 4800Mhz. And considering huge models like llama 3 400b on the horizon I’m contemplating between buying a mac studio m2 192gb(or maybe waiting for the m4) or an amd epyc with about 750gb Ram. I know that the bandwidth of the ... | 2024-06-01T18:58:06 | https://www.reddit.com/r/LocalLLaMA/comments/1d5u33o/amd_epyc_genoa/ | Ashefromapex | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5u33o | false | null | t3_1d5u33o | /r/LocalLLaMA/comments/1d5u33o/amd_epyc_genoa/ | false | false | self | 15 | null |
Looking for a web application (self-hosted or SAAS hosted) that simply lets you put in an API key and then you can chat with a model. | 7 | For example, I would login to www.useyourownkeys.com (made up) and login to my account, and I keep my API keys there from services like TogetherAI, or OpenAI, etc.
I can then choose a model, like GPT-4 or a cheap 7B model or whatever else, and then have a chat web interface that replicates the feature-set of ChatGPT.
... | 2024-06-01T18:53:32 | https://www.reddit.com/r/LocalLLaMA/comments/1d5tzl1/looking_for_a_web_application_selfhosted_or_saas/ | javatextbook | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5tzl1 | false | null | t3_1d5tzl1 | /r/LocalLLaMA/comments/1d5tzl1/looking_for_a_web_application_selfhosted_or_saas/ | false | false | self | 7 | null |
Service Award for OIJ: Operation Infinite Jank (and detailed P40 setup tutorial)
| 1 | [removed] | 2024-06-01T18:26:29 | https://www.reddit.com/r/LocalLLaMA/comments/1d5te4y/service_award_for_oij_operation_infinite_jank_and/ | False_Grit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5te4y | false | null | t3_1d5te4y | /r/LocalLLaMA/comments/1d5te4y/service_award_for_oij_operation_infinite_jank_and/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'BSJREAk9n3L3BW5Uo9rqN16V0_Bp6mWcepf1XqKjIM8', 'resolutions': [{'height': 48, 'url': 'https://external-preview.redd.it/Bt9o0jYI6uyWkAeFdVqdmsl5P074yJzpSkspVPR7_VM.jpg?width=108&crop=smart&auto=webp&s=fdbc335dbea74ff85e5e8da9e73b5a98352c8830', 'width': 108}, {'height': 96, 'url': 'ht... | |
Does the size of the model meaningfully effect speed, assuming the model fits completely in RAM or VRAM? | 1 | [removed] | 2024-06-01T18:21:51 | https://www.reddit.com/r/LocalLLaMA/comments/1d5tafm/does_the_size_of_the_model_meaningfully_effect/ | redoubt515 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5tafm | false | null | t3_1d5tafm | /r/LocalLLaMA/comments/1d5tafm/does_the_size_of_the_model_meaningfully_effect/ | false | false | self | 1 | null |
Noob question: what are the privacy benefits of using an open source LLM vs using a service like Azure OpenAI? | 0 | The main benefit of using open source LLM seems to be privacy but do they offer more privacy than services like Azure OpenAI which keeps your data in separate cloud tenants? How would that be less private than, say, hosting your open source LLM on a cloud VM? | 2024-06-01T18:16:22 | https://www.reddit.com/r/LocalLLaMA/comments/1d5t651/noob_question_what_are_the_privacy_benefits_of/ | AgreeableCaptain1372 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5t651 | false | null | t3_1d5t651 | /r/LocalLLaMA/comments/1d5t651/noob_question_what_are_the_privacy_benefits_of/ | false | false | self | 0 | null |
Noob question about vllm and llama 70b | 1 | [removed] | 2024-06-01T18:08:06 | https://www.reddit.com/r/LocalLLaMA/comments/1d5szng/noob_question_about_vllm_and_llama_70b/ | koibKop4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5szng | false | null | t3_1d5szng | /r/LocalLLaMA/comments/1d5szng/noob_question_about_vllm_and_llama_70b/ | false | false | self | 1 | null |
So running locally on a GPU desktop what use cases (and performance) can one get with video / image / multi-modal classification / detection / captioning / Q&A etc.? | 3 | So running locally on a GPU desktop what use cases (and performance) can one get with video / image / multi-modal classification / detection / captioning / Q&A etc.?
It's a basic question, I know, and performance will scale with available HW of course, but I'm just talking about for a better-end-mid-range consumer GPU... | 2024-06-01T17:48:39 | https://www.reddit.com/r/LocalLLaMA/comments/1d5sk0n/so_running_locally_on_a_gpu_desktop_what_use/ | Calcidiol | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5sk0n | false | null | t3_1d5sk0n | /r/LocalLLaMA/comments/1d5sk0n/so_running_locally_on_a_gpu_desktop_what_use/ | false | false | self | 3 | null |
Looking for Feedback on My New Model: Awanllm-Llama-3-8B-Cumulus-v1.0-GGUF | 10 | 2024-06-01T17:30:46 | https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0-GGUF | nero10578 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1d5s62d | false | null | t3_1d5s62d | /r/LocalLLaMA/comments/1d5s62d/looking_for_feedback_on_my_new_model/ | false | false | 10 | {'enabled': False, 'images': [{'id': '-Jlec_q4xickKVAuXvQeVAkt7VrkUvgTgR3uUipqK8Y', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/w8-N3NsxT02KHmfxmlsacdM8lidpLZOurVxpXCP8JI0.jpg?width=108&crop=smart&auto=webp&s=1bc55513fec97c6f8af5483eb8a81c409d46c0b7', 'width': 108}, {'height': 116, 'url': 'h... | ||
Technologies that are now trivially easy? OCR, Handwriting Recognition, etc | 87 | In terms of use cases for LLMs, but also TOOLS that the LLM can use (OCR, Handwriting Recognition, object-in-image recognition, etc), which use cases, technologies/tools, etc have become trivially easy or dramatically easier or dramatically BETTER recently - for the integrator - than they have been in the past? I woul... | 2024-06-01T17:24:34 | https://www.reddit.com/r/LocalLLaMA/comments/1d5s1cs/technologies_that_are_now_trivially_easy_ocr/ | inyourfaceplate | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5s1cs | false | null | t3_1d5s1cs | /r/LocalLLaMA/comments/1d5s1cs/technologies_that_are_now_trivially_easy_ocr/ | false | false | self | 87 | null |
Large volume transaction data | 1 | [removed] | 2024-06-01T17:22:05 | https://www.reddit.com/r/LocalLLaMA/comments/1d5rzfn/large_volume_transaction_data/ | shirin_boo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5rzfn | false | null | t3_1d5rzfn | /r/LocalLLaMA/comments/1d5rzfn/large_volume_transaction_data/ | false | false | self | 1 | null |
Best memory/price card | 1 | [removed] | 2024-06-01T17:00:23 | https://www.reddit.com/r/LocalLLaMA/comments/1d5rie1/best_memoryprice_card/ | ionik007 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5rie1 | false | null | t3_1d5rie1 | /r/LocalLLaMA/comments/1d5rie1/best_memoryprice_card/ | false | false | self | 1 | null |
Comparing 2 PDFs (one 700pgs the other 900pgs) | 0 | Charlie Kaufman's novel "Antkind" is 700 pages, but I also have a PDF of a pre-print advance readers copy that's 900 pages. The differences aren't obvious but Kaufman said that he did have to eliminate about 200 pages.
Are there any tools that would be able to enumerate what the differences are? (IE: This paragraph is... | 2024-06-01T16:55:04 | https://www.reddit.com/r/LocalLLaMA/comments/1d5rea5/comparing_2_pdfs_one_700pgs_the_other_900pgs/ | NullOfficer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5rea5 | false | null | t3_1d5rea5 | /r/LocalLLaMA/comments/1d5rea5/comparing_2_pdfs_one_700pgs_the_other_900pgs/ | false | false | self | 0 | null |
How to efficiently find the probable k APIs before function calling and stay within token limits? | 1 | [removed] | 2024-06-01T16:48:10 | https://www.reddit.com/r/LocalLLaMA/comments/1d5r92f/how_to_efficiently_find_the_probable_k_apis/ | Top-Handle-5728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5r92f | false | null | t3_1d5r92f | /r/LocalLLaMA/comments/1d5r92f/how_to_efficiently_find_the_probable_k_apis/ | false | false | self | 1 | null |
Why is my Ollama models disappearing? | 1 | This is the second time this is happening, I'm accessing my Ollama models using WebUi. Today, when I start a new chat, all the models (around 15GB worth) are gone and the only model available is llama3:latest. When I do a "ollama list" using my terminal I'm getting only llama3:latest as model and everything else is gon... | 2024-06-01T16:45:59 | https://www.reddit.com/r/LocalLLaMA/comments/1d5r7ee/why_is_my_ollama_models_disappearing/ | Michaelscarn69- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5r7ee | false | null | t3_1d5r7ee | /r/LocalLLaMA/comments/1d5r7ee/why_is_my_ollama_models_disappearing/ | false | false | self | 1 | null |
NSFW model with the BEST dialogues? | 1 | [removed] | 2024-06-01T16:43:19 | https://www.reddit.com/r/LocalLLaMA/comments/1d5r5dn/nsfw_model_with_the_best_dialogues/ | Tri0don | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5r5dn | false | null | t3_1d5r5dn | /r/LocalLLaMA/comments/1d5r5dn/nsfw_model_with_the_best_dialogues/ | false | false | nsfw | 1 | null |
LLama3 keeps giving the same answer | 5 | I've tried llama3:70b on both ollama and text-gen-ui in chat mode.
I ask for a joke, and i always get the same joke back.
wtf | 2024-06-01T16:37:05 | https://www.reddit.com/r/LocalLLaMA/comments/1d5r0ia/llama3_keeps_giving_the_same_answer/ | Able_Conflict3308 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5r0ia | false | null | t3_1d5r0ia | /r/LocalLLaMA/comments/1d5r0ia/llama3_keeps_giving_the_same_answer/ | false | false | self | 5 | null |
Shout out to GPT4All | 1 | That's the easiest way I have discovered to get LLama 3 to work. | 2024-06-01T16:34:18 | https://www.reddit.com/r/LocalLLaMA/comments/1d5qy8x/shout_out_to_gpt4all/ | ImaginaryRea1ity | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5qy8x | false | null | t3_1d5qy8x | /r/LocalLLaMA/comments/1d5qy8x/shout_out_to_gpt4all/ | false | false | self | 1 | null |
Is Claude-like “tool use” currently feasible locally? | 1 | 2024-06-01T16:28:40 | https://www.anthropic.com/news/tool-use-ga | B_Ray18 | anthropic.com | 1970-01-01T00:00:00 | 0 | {} | 1d5qtum | false | null | t3_1d5qtum | /r/LocalLLaMA/comments/1d5qtum/is_claudelike_tool_use_currently_feasible_locally/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'pMrBhua7llpu5vGPAa__nWIoflBcIZDb6LThSZOjBy4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/nwrnUnGh3uTnp4aWpnUVZ-aZA8160fW4XCiI4rNEHhg.jpg?width=108&crop=smart&auto=webp&s=eea3a529c8b5cfe9e47af19eaee1babbce7f8f98', 'width': 108}, {'height': 116, 'url': 'h... | ||
Are NPUs just marketing hype or can we use them for training/inference? | 32 | I've been hearing more and more about the supposed capabilities of the NPUs esp in the new Intel Core CPUs and I was wondering if we could run a local text model with them and how would I go about using say Ollama with it? Has anyone tried? I am looking to purchase a new laptop anyways should I go for one with an NPU? | 2024-06-01T16:21:59 | https://www.reddit.com/r/LocalLLaMA/comments/1d5qor5/are_npus_just_marketing_hype_or_can_we_use_them/ | basyt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5qor5 | false | null | t3_1d5qor5 | /r/LocalLLaMA/comments/1d5qor5/are_npus_just_marketing_hype_or_can_we_use_them/ | false | false | self | 32 | null |
LLM Powered Web Scrapers Experience | 32 | Does anyone have any experience with LLM powered web scrapers? There seems to be quite a few options on a search and curious if anyone has had a good experience with one of these options out there.
I'm thinking of something that is only semi-automated, and mainly uses the LLM to give some flexibility in how it scrapes... | 2024-06-01T15:59:35 | https://www.reddit.com/r/LocalLLaMA/comments/1d5q6o7/llm_powered_web_scrapers_experience/ | Mr_International | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5q6o7 | false | null | t3_1d5q6o7 | /r/LocalLLaMA/comments/1d5q6o7/llm_powered_web_scrapers_experience/ | false | false | self | 32 | null |
System prompt seems to not enforce behavior | 1 | [removed] | 2024-06-01T15:58:48 | https://www.reddit.com/r/LocalLLaMA/comments/1d5q62b/system_prompt_seems_to_not_enforce_behavior/ | Telion-Fondrad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5q62b | false | null | t3_1d5q62b | /r/LocalLLaMA/comments/1d5q62b/system_prompt_seems_to_not_enforce_behavior/ | false | false | 1 | null | |
Quantifying the Impact of Quantization on LLM Programming Abilities | 1 | [removed] | 2024-06-01T15:44:40 | https://www.reddit.com/r/LocalLLaMA/comments/1d5puyb/quantifying_the_impact_of_quantization_on_llm/ | Zor-X-L | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5puyb | false | null | t3_1d5puyb | /r/LocalLLaMA/comments/1d5puyb/quantifying_the_impact_of_quantization_on_llm/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'js1odsGoFxya0rgKEbJUATiv5GWr-vd8Q052-2IA7H8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/CQrsBaP38dcSNe9Hb4GevdFx-ag6jSr_RsdicWeFCyo.jpg?width=108&crop=smart&auto=webp&s=892c4451e714013b4c0dd9cd3aa4033e53db5f56', 'width': 108}, {'height': 108, 'url': 'h... |
Updated: How does progress on AI interpretability by Anthropic change your perception of AI risk? | 0 | https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html?s=09%2F/
https://youtu.be/jqdoauxvKUM?si=7mPx1TyUE5bMxX5K
Redoing the poll. Thanks to everyone who pointed out the errors and inconsistencies with my initial poll. Hopefully, this captures a better distribution of perceptions around this researc... | 2024-06-01T15:03:23 | https://www.reddit.com/r/LocalLLaMA/comments/1d5oyfe/updated_how_does_progress_on_ai_interpretability/ | onil_gova | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5oyfe | false | null | t3_1d5oyfe | /r/LocalLLaMA/comments/1d5oyfe/updated_how_does_progress_on_ai_interpretability/ | false | false | self | 0 | null |
Cohere's Command R Plus deserves more love! This model is at the GPT-4 league, and the fact that we can download and run it on our own servers gives me hope about the future of Open-Source/Weight models. | 260 | I keep getting impressed by the quality of responses by Command R+. I use it through Open-Router/Cohere's API, and am amazed how the responses are detailed, in depth, and to the point, and sensible. It reminds me of early the GPT-4 model which felt "mature" and "deep" about subjects. | 2024-06-01T14:31:33 | https://www.reddit.com/r/LocalLLaMA/comments/1d5o9ng/coheres_command_r_plus_deserves_more_love_this/ | nderstand2grow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5o9ng | false | null | t3_1d5o9ng | /r/LocalLLaMA/comments/1d5o9ng/coheres_command_r_plus_deserves_more_love_this/ | false | false | self | 260 | null |
Fine tune embeddings model | 25 | Made a video on **fine tuning** open soruce embeddings model like **BGE** or **nomic-embed-text**.
A solid way to boost embeddings performance for retrieval or other application of embeddings.
This can be fine tuned quite quickly and cost effectively.
Hope somebody finds it useful
[https://youtu.be/hdFHYNCmO8U](htt... | 2024-06-01T14:30:51 | https://www.reddit.com/r/LocalLLaMA/comments/1d5o92x/fine_tune_embeddings_model/ | Mosh_98 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5o92x | false | {'oembed': {'author_name': 'Mosleh Mahamud', 'author_url': 'https://www.youtube.com/@moslehmahamud9574', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/hdFHYNCmO8U?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media;... | t3_1d5o92x | /r/LocalLLaMA/comments/1d5o92x/fine_tune_embeddings_model/ | false | false | 25 | {'enabled': False, 'images': [{'id': '_ck9VpK_8yd442dlj6j5BB3ZUSn2b6DjJf8sDXsjbC8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/rmz_Y4ZNa_-6GbLhuIN1gCfcDHupoblt7HVPUt_dO7Y.jpg?width=108&crop=smart&auto=webp&s=8710821b65b12e3db144b72e44758fe26a960f7c', 'width': 108}, {'height': 162, 'url': 'h... | |
How can I add custom tokens to the LLaMa 3 tokenizer? | 1 | [removed] | 2024-06-01T14:16:29 | https://www.reddit.com/r/LocalLLaMA/comments/1d5ny9x/how_can_i_add_custom_tokens_to_the_llama_3/ | Equivalent_Award7202 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5ny9x | false | null | t3_1d5ny9x | /r/LocalLLaMA/comments/1d5ny9x/how_can_i_add_custom_tokens_to_the_llama_3/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'xUB4wq4MgzcbZrXohnJTluff5IoHZuh8Ac76FVXu_SQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/-q7N-H7xCO9u7LG5bzGO6c1wWUYMPAZyxZ4lntGQQIE.jpg?width=108&crop=smart&auto=webp&s=b6c7e6c15ccff3740ea55f4b52ec9ff619e82770', 'width': 108}, {'height': 108, 'url': 'h... |
A way to visualize relationships between large language models? | 8 | I have been looking around for potential candidates for local large language models on huggingface and have found that there are particular models that do better for my specific use case. But as more and more models are tested, it becomes increasingly difficult to compare how these models are related to each other. For... | 2024-06-01T13:32:38 | https://www.reddit.com/r/LocalLLaMA/comments/1d5n2u6/a_way_to_visualize_relationships_between_large/ | Slomberer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5n2u6 | false | null | t3_1d5n2u6 | /r/LocalLLaMA/comments/1d5n2u6/a_way_to_visualize_relationships_between_large/ | false | false | self | 8 | null |
Hugging Face says it detected ‘unauthorized access’ to its AI model hosting platform | TechCrunch | 131 | [https://techcrunch.com/2024/05/31/hugging-face-says-it-detected-unauthorized-access-to-its-ai-model-hosting-platform/](https://techcrunch.com/2024/05/31/hugging-face-says-it-detected-unauthorized-access-to-its-ai-model-hosting-platform/)
Not a lot of details for now. The Hacker News:
[https://thehackernews.com/2024... | 2024-06-01T13:18:35 | https://www.reddit.com/r/LocalLLaMA/comments/1d5mt26/hugging_face_says_it_detected_unauthorized_access/ | Nunki08 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5mt26 | false | null | t3_1d5mt26 | /r/LocalLLaMA/comments/1d5mt26/hugging_face_says_it_detected_unauthorized_access/ | false | false | self | 131 | {'enabled': False, 'images': [{'id': 'b78RhDj33kVUnQSTTA4Tb7bhGJXnKF1-b91F9MaNNXs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/VhO1mWlp35SKTU0DyZad9gCfvYBCpH4rVAPBcoDf2gQ.jpg?width=108&crop=smart&auto=webp&s=48afdba8aceba3275bef9a459ee4dd0583be0565', 'width': 108}, {'height': 108, 'url': 'h... |
Its all linear algebra | 1 | 2024-06-01T12:59:52 | Cute_Praline_5314 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d5mfzc | false | null | t3_1d5mfzc | /r/LocalLLaMA/comments/1d5mfzc/its_all_linear_algebra/ | false | false | 1 | {'enabled': True, 'images': [{'id': '_1FIMC7FX9TskOx7yx2HxSkcSYwVTGqqfpzlnOdKAEE', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/8vs3wojcky3d1.png?width=108&crop=smart&auto=webp&s=bee7877b141cdf4ea94e9c9d15876147c3a01d31', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/8vs3wojcky3d1.png... | |||
Its all linear algebra | 1 | 2024-06-01T12:57:03 | Cute_Praline_5314 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1d5me8f | false | null | t3_1d5me8f | /r/LocalLLaMA/comments/1d5me8f/its_all_linear_algebra/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'lo-iKMbY5ri0Hv-jC0ahSEtbau8MAE7w1EmZEawzFVg', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/70zjgm8hjy3d1.png?width=108&crop=smart&auto=webp&s=c30f8d146f58efc689385f03c984285762888acd', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/70zjgm8hjy3d1.png... | |||
Can the LLM use less RAM ? | 1 | [removed] | 2024-06-01T12:15:59 | https://www.reddit.com/r/LocalLLaMA/comments/1d5looj/can_the_llm_use_less_ram/ | BigFuckingStonk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5looj | false | null | t3_1d5looj | /r/LocalLLaMA/comments/1d5looj/can_the_llm_use_less_ram/ | false | false | self | 1 | null |
Is there a way to use less RAM ? | 1 | [removed] | 2024-06-01T12:13:18 | https://www.reddit.com/r/LocalLLaMA/comments/1d5ln1q/is_there_a_way_to_use_less_ram/ | BlackberryNo3768 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5ln1q | false | null | t3_1d5ln1q | /r/LocalLLaMA/comments/1d5ln1q/is_there_a_way_to_use_less_ram/ | false | false | self | 1 | null |
Can I use GPT model like LLaMA3 to FineTuning BERT model to accomplish downstream task like text classification? | 1 | [removed] | 2024-06-01T12:11:42 | https://www.reddit.com/r/LocalLLaMA/comments/1d5lm1j/can_i_use_gpt_model_like_llama3_to_finetuning/ | Key_Phase_1400 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1d5lm1j | false | null | t3_1d5lm1j | /r/LocalLLaMA/comments/1d5lm1j/can_i_use_gpt_model_like_llama3_to_finetuning/ | false | false | self | 1 | null |
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