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How would I go about saving chat history of each customer in a customer sales bot which answers questions based on source documents. I want to use each cutsomers history and categorize them into a certain type of customer that could be used for targeted marketing. | 0 | Just a simple rag bot that uses open ai API. I don't want to complicate it too much other than this little feature. each user will have different types of queries, get each user's chat history, summarize it and do an analysis if the history is long and categorize it like this:
1. Potential buyer
2. Interested but ... | 2024-07-03T14:18:38 | https://www.reddit.com/r/LocalLLaMA/comments/1dufhqk/how_would_i_go_about_saving_chat_history_of_each/ | Professional_Bunch69 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dufhqk | false | null | t3_1dufhqk | /r/LocalLLaMA/comments/1dufhqk/how_would_i_go_about_saving_chat_history_of_each/ | false | false | self | 0 | null |
Recommendations for system to generate turn based chat conversations for training data | 4 | I want to build some custom data sets of turn based conversations so I'm looking for a chat interface where I can "play" both sides "assistant" and "user" and save the conversations in some format (db/json files etc.)
Bonus points if it can save conversation in an intermediate format and then generate datasets with di... | 2024-07-03T14:12:31 | https://www.reddit.com/r/LocalLLaMA/comments/1dufctr/recommendations_for_system_to_generate_turn_based/ | Key_Extension_6003 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dufctr | false | null | t3_1dufctr | /r/LocalLLaMA/comments/1dufctr/recommendations_for_system_to_generate_turn_based/ | false | false | self | 4 | null |
RAM or GPU bottleneck? | 1 | It's not clear to me what different jobs do the RAM and GPU's have in running LLMs. When downloading a model from LM studio it tells me that i can at most run Q4 GGUF of 9B models with my PC (8Gb DDR4 RAM and GTX 3060).
I want to upgrade the RAM to the max allowed on my PC (64 Gb DDR5) to be able to run better model... | 2024-07-03T14:08:13 | https://www.reddit.com/r/LocalLLaMA/comments/1duf995/ram_or_gpu_bottleneck/ | sebastianmicu24 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duf995 | false | null | t3_1duf995 | /r/LocalLLaMA/comments/1duf995/ram_or_gpu_bottleneck/ | false | false | self | 1 | null |
Looking to do sub-sentence-level sentiment analysis from audio. Any ideas? | 1 | [removed] | 2024-07-03T14:07:11 | https://www.reddit.com/r/LocalLLaMA/comments/1duf8gg/looking_to_do_subsentencelevel_sentiment_analysis/ | Lolologist | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duf8gg | false | null | t3_1duf8gg | /r/LocalLLaMA/comments/1duf8gg/looking_to_do_subsentencelevel_sentiment_analysis/ | false | false | self | 1 | null |
kyutai_labs just released Moshi, a real-time native multimodal foundation model - open source confirmed | 780 | 2024-07-03T13:32:45 | https://www.reddit.com/gallery/1duegr1 | Nunki08 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1duegr1 | false | null | t3_1duegr1 | /r/LocalLLaMA/comments/1duegr1/kyutai_labs_just_released_moshi_a_realtime_native/ | false | false | 780 | null | ||
Kyutai just released an impressive OSS multimodal model | 118 | It has super low latency, can run on consumer computers, "listen" and answer directly.
The demo was quite cool!
Release demo: https://www.youtube.com/live/hm2IJSKcYvo
Release summary: https://x.com/_philschmid/status/1808491737624592563 | 2024-07-03T13:30:59 | https://www.reddit.com/r/LocalLLaMA/comments/1dueff1/kyutai_just_released_an_impressive_oss_multimodal/ | clefourrier | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dueff1 | false | null | t3_1dueff1 | /r/LocalLLaMA/comments/1dueff1/kyutai_just_released_an_impressive_oss_multimodal/ | false | false | self | 118 | {'enabled': False, 'images': [{'id': 'Aq5hAUgCMl2VbpY53voxI_lYDA7u2SbXvrlLCIHsePI', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/X2aUK2F8Vc2VnGPIYW8N3VonSduEy6XXY8wW86UBHpo.jpg?width=108&crop=smart&auto=webp&s=4180e4e228ff5f218274d428e4a0954d1af067ab', 'width': 108}, {'height': 121, 'url': 'h... |
Fine-tune LLMs for classification task | 6 | I would like to use an LLM (Llama3 or Mistral for example) for a multilabel-classification task. I have a few 1000 examples to train the model on, but not sure what's the best way and library to do that. Is there any best practice how to fine-tune LLMs for classification tasks? | 2024-07-03T13:29:50 | https://www.reddit.com/r/LocalLLaMA/comments/1dueeea/finetune_llms_for_classification_task/ | Electronic-Letter592 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dueeea | false | null | t3_1dueeea | /r/LocalLLaMA/comments/1dueeea/finetune_llms_for_classification_task/ | false | false | self | 6 | null |
Impressive Kyutai multimodal release! | 1 | 2024-07-03T13:25:23 | https://x.com/_philschmid/status/1808491737624592563 | clefourrier | x.com | 1970-01-01T00:00:00 | 0 | {} | 1dueaz0 | false | null | t3_1dueaz0 | /r/LocalLLaMA/comments/1dueaz0/impressive_kyutai_multimodal_release/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'rEfO6URR01Z0w8D4T-YIu5STD4_JEN1MYB9WZKf4V0E', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/tm-2re9CSp38uRRK9LpOc3fZXOVvCeZBF_cn9FRHKcs.jpg?width=108&crop=smart&auto=webp&s=dc7e2291a3696c523ed1dbe6ce46ef6e61aa1e68', 'width': 108}, {'height': 120, 'url': 'h... | ||
How to train a model so it knows where to look for data on documents | 1 | [removed] | 2024-07-03T13:12:56 | https://www.reddit.com/r/LocalLLaMA/comments/1due1ev/how_to_train_a_model_so_it_knows_where_to_look/ | alexvazqueza | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1due1ev | false | null | t3_1due1ev | /r/LocalLLaMA/comments/1due1ev/how_to_train_a_model_so_it_knows_where_to_look/ | false | false | self | 1 | null |
Shout out to TabbyAPI - it's by far the best ExLlamaV2 server I've tried | 61 | I usually use GGUFs with Ollama or occasionally Text Generation webUI but recently I've been working with some larger context sizes and found that the lack of quantised KV cache with Ollama was getting in my way.
I tried vLLM, and mistral-rs (also failed to try TensortRT-LLM - that thing is a nightmare) but ended up s... | 2024-07-03T13:10:53 | https://www.reddit.com/r/LocalLLaMA/comments/1dudzvn/shout_out_to_tabbyapi_its_by_far_the_best/ | sammcj | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dudzvn | false | null | t3_1dudzvn | /r/LocalLLaMA/comments/1dudzvn/shout_out_to_tabbyapi_its_by_far_the_best/ | false | false | self | 61 | {'enabled': False, 'images': [{'id': '1IoW2tAwAXK8wzzssL-066S5v8-BgUi_3gN0LgQyWjU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/FXpig4H3if0Oh4FSAVyduCkM8MU4DY7Xc8tlIAfe6Kk.jpg?width=108&crop=smart&auto=webp&s=e3d493e4070c08e4ec4be26fae004548101b7cab', 'width': 108}, {'height': 108, 'url': 'h... |
I removed the alignment from Gemma 2 9B model and its awesome! | 1 | [removed] | 2024-07-03T13:10:47 | https://www.reddit.com/r/LocalLLaMA/comments/1dudzs8/i_removed_the_alignment_from_gemma_2_9b_model_and/ | medtech04 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dudzs8 | false | null | t3_1dudzs8 | /r/LocalLLaMA/comments/1dudzs8/i_removed_the_alignment_from_gemma_2_9b_model_and/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'KH8rP1laXrKX7kQH4ecJCjAPVRTJEoI3PEpjxFaNGbQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/eU5sgD7_61bCe717pQaE6Qr33QDNNyCz4qXGxrssAww.jpg?width=108&crop=smart&auto=webp&s=ef60162e69c0c9707b500c028514ac6a678840fe', 'width': 108}, {'height': 108, 'url': 'h... |
AnyMoE: Build a memory-efficient MoE model in seconds | 51 | We are excited to announce the introduction of a novel technique called AnyMoE into mistral.rs!
AnyMoE (based on [this paper](https://arxiv.org/abs/2405.19076)) is a technique to create an MoE model from a set of a base model and fine-tuned or LoRA adapter models.
It requires a tiny dataset (of only 10 samples in o... | 2024-07-03T12:52:58 | https://www.reddit.com/r/LocalLLaMA/comments/1dudmax/anymoe_build_a_memoryefficient_moe_model_in/ | EricBuehler | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dudmax | false | null | t3_1dudmax | /r/LocalLLaMA/comments/1dudmax/anymoe_build_a_memoryefficient_moe_model_in/ | false | false | self | 51 | null |
InternLM2.5 - Collection | 48 | 2024-07-03T12:41:45 | https://huggingface.co/collections/internlm/internlm25-66853f32717072d17581bc13 | Dark_Fire_12 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1dude1y | false | null | t3_1dude1y | /r/LocalLLaMA/comments/1dude1y/internlm25_collection/ | false | false | 48 | {'enabled': False, 'images': [{'id': 'v_SJ1kySOKYTVNI7bfoQyrkp3cF44doze8Iffu5XY_E', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/wWVOdtA63tCaSC7flEwdWZw49XHixo4ibU42wIAI5EU.jpg?width=108&crop=smart&auto=webp&s=76c17daffb975b607f1006ccc3710bb20a7afc95', 'width': 108}, {'height': 116, 'url': 'h... | ||
Is there a better way for creating proper query to extract proper information for large SQL based database using LLM? | 1 | [removed] | 2024-07-03T12:35:03 | https://www.reddit.com/r/LocalLLaMA/comments/1dud97p/is_there_a_better_way_for_creating_proper_query/ | hackermud | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dud97p | false | null | t3_1dud97p | /r/LocalLLaMA/comments/1dud97p/is_there_a_better_way_for_creating_proper_query/ | false | false | self | 1 | null |
How can we support open source LLMs? | 1 | [removed] | 2024-07-03T12:32:21 | https://www.reddit.com/r/LocalLLaMA/comments/1dud7d1/how_can_we_support_open_source_llms/ | moarmagic | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dud7d1 | false | null | t3_1dud7d1 | /r/LocalLLaMA/comments/1dud7d1/how_can_we_support_open_source_llms/ | false | false | self | 1 | null |
Is there a better way to fetch information from Large SQL based database | 1 | [removed] | 2024-07-03T12:27:35 | https://www.reddit.com/r/LocalLLaMA/comments/1dud3x8/is_there_a_better_way_to_fetch_information_from/ | hackermud | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dud3x8 | false | null | t3_1dud3x8 | /r/LocalLLaMA/comments/1dud3x8/is_there_a_better_way_to_fetch_information_from/ | false | false | self | 1 | null |
Can't get LlaMa 2 to generate responses | 0 | I've been trying to get the llama-2-7b-hf model to generate text for a simple use case but it doesn't seem to be doing anything when I run it. I'm using this code:
\`
from langchain_huggingface import HuggingFacePipeline
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, Generation... | 2024-07-03T12:12:36 | https://www.reddit.com/r/LocalLLaMA/comments/1ducthu/cant_get_llama_2_to_generate_responses/ | Comfortable_Ad_3770 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ducthu | false | null | t3_1ducthu | /r/LocalLLaMA/comments/1ducthu/cant_get_llama_2_to_generate_responses/ | false | false | self | 0 | null |
local model with knowledge from pdf books - how to train it..? the best way? RAG? lora? finetune? | 9 | the best way to have llama as a smart student?
let's say I have all books in pdf, which are studied
during 5 years on University.
I want my local llama "learn" all pdf and then, when
answering a questions, it will preferably use knowledge
from those books.
how to do it? what are the possibilities?
1) mak... | 2024-07-03T12:01:06 | https://www.reddit.com/r/LocalLLaMA/comments/1duclyh/local_model_with_knowledge_from_pdf_books_how_to/ | ovnf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duclyh | false | null | t3_1duclyh | /r/LocalLLaMA/comments/1duclyh/local_model_with_knowledge_from_pdf_books_how_to/ | false | false | self | 9 | null |
Whisper with word-level confidence data | 2 | Is there a service where I can easily deploy this model: https://github.com/linto-ai/whisper-timestamped
I'd like to have an API that can output a transcription with word-level confidence from an audio input. OpenAI doesn't do have it, only timestamps.
Deepgram can do it but Whisper is very slow on their servers, pro... | 2024-07-03T11:54:23 | https://www.reddit.com/r/LocalLLaMA/comments/1duchbm/whisper_with_wordlevel_confidence_data/ | inglandation | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duchbm | false | null | t3_1duchbm | /r/LocalLLaMA/comments/1duchbm/whisper_with_wordlevel_confidence_data/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '5d1fnoSztVLVyVgOMcDgrr2N3cFrZ5NskV6u9A7kxjA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/tP_NXLf6HbYYRaK-ohJdgkJx0y9fFhbdZ9eOscCxhLI.jpg?width=108&crop=smart&auto=webp&s=84b48a52cf8733280243c7d9ff5dd2bc323a8c82', 'width': 108}, {'height': 108, 'url': 'h... |
How I Built AI Agents with Web Search and Knowledge Access Using LLaMA | 1 | [removed] | 2024-07-03T10:53:47 | https://www.reddit.com/r/LocalLLaMA/comments/1dubfvy/how_i_built_ai_agents_with_web_search_and/ | Pitiful_Yak_390 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dubfvy | false | null | t3_1dubfvy | /r/LocalLLaMA/comments/1dubfvy/how_i_built_ai_agents_with_web_search_and/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'V8ghh_dCBwTlNY8OrPjgpanKD1GJXZ-7jQWJAM0F3Gg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/vrQ98WHCObyIKaUSsC_cjzHZfMprk1y9ugKJTbGEQhc.jpg?width=108&crop=smart&auto=webp&s=b64a3d843d65cf578e6771c485585d4a6e0961a2', 'width': 108}, {'height': 108, 'url': 'h... |
Which notable LLMs are Apache licensed? | 24 | Which notable LLMs are Apache licensed? I know of:
* Mistral 7B, * Mixtral 8*7B, * Mixtral 8*22B
* Qwen2-0.5B, Qwen2-1.5B, Qwen2-7B, Qwen2-57B-A14B (MoE)
Are there any other ones to track? | 2024-07-03T10:42:39 | https://www.reddit.com/r/LocalLLaMA/comments/1dub9oe/which_notable_llms_are_apache_licensed/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dub9oe | false | null | t3_1dub9oe | /r/LocalLLaMA/comments/1dub9oe/which_notable_llms_are_apache_licensed/ | false | false | self | 24 | null |
Current best <4B models? | 37 | I'm reviewing the state-of-the-art of tiny models and I feel like Phi-3-mini is the best model among the ones below 4B. However, I found (online and here) that Qwen2 (0.5B, 1.5B), StableLM2 (1.6B) and also TinyLlama (1.1B) deserve a mention for some reasons (e.g. possibility to achieve decent performance by fine-tuning... | 2024-07-03T10:17:49 | https://www.reddit.com/r/LocalLLaMA/comments/1duavvm/current_best_4b_models/ | 4verage3ngineer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duavvm | false | null | t3_1duavvm | /r/LocalLLaMA/comments/1duavvm/current_best_4b_models/ | false | false | self | 37 | null |
Unlocking any model | 5 | Hey everyone,
For some of you, this is probably common knowledge, but for some, it isn't (I guess).
Actually, it is pretty easy to unlock any model, no matter if it is a Gemini, 4o, or Sonnet 3.5. I'd say Gemini definitely has the best protection.
The only thing you have to do is start easy. Your target might be som... | 2024-07-03T10:16:04 | https://www.reddit.com/r/LocalLLaMA/comments/1duauzf/unlocking_any_model/ | Suitable-Name | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duauzf | false | null | t3_1duauzf | /r/LocalLLaMA/comments/1duauzf/unlocking_any_model/ | false | false | self | 5 | null |
Fine-tune the LLM with DB Schema Information | 1 | [removed] | 2024-07-03T09:52:54 | https://www.reddit.com/r/LocalLLaMA/comments/1duail7/finetune_the_llm_with_db_schema_information/ | AcademicHedgehog4562 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1duail7 | false | null | t3_1duail7 | /r/LocalLLaMA/comments/1duail7/finetune_the_llm_with_db_schema_information/ | false | false | self | 1 | null |
7b model outlier is ranking strongly on creativity, just a lucky mix or is 2DPO experiment relevant? "Act like you've got a secret" Examples included | 37 | So I've been thinking this for a while, then I saw this leaderboard for creativity [https://huggingface.co/datasets/froggeric/creativity](https://huggingface.co/datasets/froggeric/creativity) the small 7b model ranked at number 10 among the big boys has been on my mind for a while:
[https://huggingface.co/crestf411/da... | 2024-07-03T09:32:08 | https://www.reddit.com/r/LocalLLaMA/comments/1dua8fh/7b_model_outlier_is_ranking_strongly_on/ | PopularPrivacyPeople | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dua8fh | false | null | t3_1dua8fh | /r/LocalLLaMA/comments/1dua8fh/7b_model_outlier_is_ranking_strongly_on/ | false | false | 37 | {'enabled': False, 'images': [{'id': 'xLD4NQoIPV1eaFtLOgdUw_GAQ35Q--_CJ0TXWZ8nr48', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/uGCxv8V6NIJQrJZBvXaPugH2J0o5OgSVfOhLRPmpC6I.jpg?width=108&crop=smart&auto=webp&s=338c73f1cc68ef6b91a421673c50249f15b49e33', 'width': 108}, {'height': 116, 'url': 'h... | |
Model recommendations for outputting consistent structures? | 6 | Okay maybe my Title is weird and I'm still figuring out the logic, so it's not so clear to me myself, but this is the gist of it.
Say my input is a product title from an e-commerce website. My output needs to be a "category tree" or taxonomy. I'll give you an example:
Input: Lapster Cleaner Kit Electronic Cleaning Ki... | 2024-07-03T09:26:57 | https://www.reddit.com/r/LocalLLaMA/comments/1dua5vp/model_recommendations_for_outputting_consistent/ | CaptTechno | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dua5vp | false | null | t3_1dua5vp | /r/LocalLLaMA/comments/1dua5vp/model_recommendations_for_outputting_consistent/ | false | false | self | 6 | null |
Multimodal Support | 5 | I’m really keen to try running a multimodal model locally, where I can upload a photo and ask questions. Is there a good model that’s in GGUF that works with LLaMa.cpp?
| 2024-07-03T09:24:31 | https://www.reddit.com/r/LocalLLaMA/comments/1dua4p4/multimodal_support/ | ababana97653 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dua4p4 | false | null | t3_1dua4p4 | /r/LocalLLaMA/comments/1dua4p4/multimodal_support/ | false | false | self | 5 | null |
What model can i use for OCR + JSON generation ? | 1 | [removed] | 2024-07-03T08:47:03 | https://www.reddit.com/r/LocalLLaMA/comments/1du9lrq/what_model_can_i_use_for_ocr_json_generation/ | DryUnderstanding2804 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du9lrq | false | null | t3_1du9lrq | /r/LocalLLaMA/comments/1du9lrq/what_model_can_i_use_for_ocr_json_generation/ | false | false | self | 1 | null |
Best STT model right now that I can self host? | 4 | which speech-to-text model has the human like quality and I can self host?
or is there a hosted cloud API with reasonable pricing that gives good transcription?
| 2024-07-03T08:46:33 | https://www.reddit.com/r/LocalLLaMA/comments/1du9li2/best_stt_model_right_now_that_i_can_self_host/ | andryxxx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du9li2 | false | null | t3_1du9li2 | /r/LocalLLaMA/comments/1du9li2/best_stt_model_right_now_that_i_can_self_host/ | false | false | self | 4 | null |
Accessing intermediate hidden states in llama.cpp | 11 | Hey beloved community!
I'm looking into evaluating various levels of LLM quants. I've been wanting to explore in intermediate representations (e.g. after each transformer block) for some time but can't seem to snatch an implementation that allows me to extract them. I'd prefer working directly with GGUF files as this ... | 2024-07-03T08:40:46 | https://www.reddit.com/r/LocalLLaMA/comments/1du9iot/accessing_intermediate_hidden_states_in_llamacpp/ | DonKanish | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du9iot | false | null | t3_1du9iot | /r/LocalLLaMA/comments/1du9iot/accessing_intermediate_hidden_states_in_llamacpp/ | false | false | self | 11 | {'enabled': False, 'images': [{'id': 'DJPqvteONpGwVVw6LzaG6b8vlDa2rv2hETCaqe0z57s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wyCM1fHzTa-IIqHgS1QTxdSYNXn668elDj0WmYMPf_k.jpg?width=108&crop=smart&auto=webp&s=d6fa197328d583bcae7a764b40fd1214265b6852', 'width': 108}, {'height': 108, 'url': 'h... |
Flash attention install on windows | 1 | [removed] | 2024-07-03T08:40:37 | https://www.reddit.com/r/LocalLLaMA/comments/1du9imb/flash_attention_install_on_windows/ | Acceptable-Today3600 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du9imb | false | null | t3_1du9imb | /r/LocalLLaMA/comments/1du9imb/flash_attention_install_on_windows/ | false | false | self | 1 | null |
Command-r works much better (when using a 'context' to a question) when sending the context into system message instead of user message. | 43 | Hello,
At the office we used a lot mistral for RAG, we used it shove the instruction prompt and the context (by context I mean the text/text chunk) right next to it.
Last week we started moving some of our queries to command-r v0.1.
By default, out of the box, [there are 3 prompts available](https://github.com/hu... | 2024-07-03T08:40:28 | https://www.reddit.com/r/LocalLLaMA/comments/1du9ija/commandr_works_much_better_when_using_a_context/ | LPN64 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du9ija | false | null | t3_1du9ija | /r/LocalLLaMA/comments/1du9ija/commandr_works_much_better_when_using_a_context/ | false | false | self | 43 | {'enabled': False, 'images': [{'id': 'wmYdTbY0dw6Rr2dRYUBJmQ3cCZ0eCEp7DPvMzckuExY', 'resolutions': [{'height': 46, 'url': 'https://external-preview.redd.it/3kdmNL0NIzfqsHyN_kqc_1U6e8vjqLK55NT6uG-YHMs.jpg?width=108&crop=smart&auto=webp&s=609f32e8148c30011d9500f95e07c9ac1fd1d9ce', 'width': 108}, {'height': 92, 'url': 'ht... |
13B Model that has a similar style to Dark Miqu? | 17 | Obviously not going to be anywhere near as good, but my GPU can't handle anything above 13B.
[https://huggingface.co/blockblockblock/Dark-Miqu-70B-bpw5-exl2](https://huggingface.co/blockblockblock/Dark-Miqu-70B-bpw5-exl2) | 2024-07-03T08:08:51 | https://www.reddit.com/r/LocalLLaMA/comments/1du92yc/13b_model_that_has_a_similar_style_to_dark_miqu/ | Euchale | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du92yc | false | null | t3_1du92yc | /r/LocalLLaMA/comments/1du92yc/13b_model_that_has_a_similar_style_to_dark_miqu/ | false | false | nsfw | 17 | {'enabled': False, 'images': [{'id': '1w2yuFyr2OoMxXCpELBLLjxguRGQqCu1pIj6xnd1wD4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/i9cRZ-PT3MEOOq-maZAyA5DAOnyxnDLT9CsJUdrcplA.jpg?width=108&crop=smart&auto=webp&s=229823587d2029dbd72c4bf52f50142a0c2f6c4d', 'width': 108}, {'height': 116, 'url': 'h... |
Advise on utilising multiple 1660 cards | 2 | I have a few 1660 lying around from the times when I was exploring crypto mining. I shut that "operation" down due to a number of reasons, but now i have some spare parts lying around. I put together one PC with 1660S x 2, a poor Ryzen 3 and 16GB RAM. I still have some 1660 cards lying around, also raisers, connectors,... | 2024-07-03T07:53:50 | https://www.reddit.com/r/LocalLLaMA/comments/1du8v8n/advise_on_utilising_multiple_1660_cards/ | CautiousSand | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du8v8n | false | null | t3_1du8v8n | /r/LocalLLaMA/comments/1du8v8n/advise_on_utilising_multiple_1660_cards/ | false | false | self | 2 | null |
Can anyone give me a estimate on how many words roughly = 1 token for llama3-70b-8192 30 | 1 | [removed] | 2024-07-03T06:50:36 | https://www.reddit.com/r/LocalLLaMA/comments/1du7ybz/can_anyone_give_me_a_estimate_on_how_many_words/ | Chemical_Scratch6992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du7ybz | false | null | t3_1du7ybz | /r/LocalLLaMA/comments/1du7ybz/can_anyone_give_me_a_estimate_on_how_many_words/ | false | false | self | 1 | null |
Best storywriting / script writing small LLM? | 1 | [removed] | 2024-07-03T06:35:03 | https://www.reddit.com/r/LocalLLaMA/comments/1du7q0e/best_storywriting_script_writing_small_llm/ | umarmnaq | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du7q0e | false | null | t3_1du7q0e | /r/LocalLLaMA/comments/1du7q0e/best_storywriting_script_writing_small_llm/ | false | false | self | 1 | null |
Extending olama | 0 | newby question, i wonder if it is possible to extend, olama
i'd like to give it a way to ceate and manage its own diary ?
just installed it, and used to python, but it ran under powershell so not sure how to extend it | 2024-07-03T06:30:37 | https://www.reddit.com/r/LocalLLaMA/comments/1du7no6/extending_olama/ | Illustrious_Matter_8 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du7no6 | false | null | t3_1du7no6 | /r/LocalLLaMA/comments/1du7no6/extending_olama/ | false | false | self | 0 | null |
RP prompts that doesn't mess with the output/ other instructions | 1 | [removed] | 2024-07-03T06:20:40 | https://www.reddit.com/r/LocalLLaMA/comments/1du7i5f/rp_prompts_that_doesnt_mess_with_the_output_other/ | abir_legend | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du7i5f | false | null | t3_1du7i5f | /r/LocalLLaMA/comments/1du7i5f/rp_prompts_that_doesnt_mess_with_the_output_other/ | false | false | nsfw | 1 | null |
How would you interface a local llama instance with devices? | 2 | Let's say I have some GPIOs in the machine running the model instance, how would you have the model drive a physical signal like on/off or an integer value? | 2024-07-03T06:09:36 | https://www.reddit.com/r/LocalLLaMA/comments/1du7bzu/how_would_you_interface_a_local_llama_instance/ | miguelelmerendero | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du7bzu | false | null | t3_1du7bzu | /r/LocalLLaMA/comments/1du7bzu/how_would_you_interface_a_local_llama_instance/ | false | false | self | 2 | null |
HuggingFace Pro API limits? | 3 | Hi all, starting to push the 8b llama 3 beyond its limits and really eyeing that 70b model. Will probably be another 6-10 months before I can get a workstation that can host it locally.
In the meantime I'm keen to start using the 70b for cypher/kg stuff and the $9 HF Pro sub looks interesting as you get access to the ... | 2024-07-03T05:43:33 | https://www.reddit.com/r/LocalLLaMA/comments/1du6xln/huggingface_pro_api_limits/ | rag_perplexity | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du6xln | false | null | t3_1du6xln | /r/LocalLLaMA/comments/1du6xln/huggingface_pro_api_limits/ | false | false | self | 3 | null |
GraphRAG & Ollama - intelligent Search of local data | 18 | GraphRag is now available on GitHub. Is Anyone aware any efforts to get this run and work with ollama?
If so this would be an incredibly powerful and intelligent tool compared to basic rag. | 2024-07-03T05:06:49 | https://www.reddit.com/r/LocalLLaMA/comments/1du6c8d/graphrag_ollama_intelligent_search_of_local_data/ | FX2021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du6c8d | false | null | t3_1du6c8d | /r/LocalLLaMA/comments/1du6c8d/graphrag_ollama_intelligent_search_of_local_data/ | false | false | self | 18 | null |
Fine tuning framework on Windows? | 3 | Hello,
For a couple of days I tried to fine tune a model on windows, I tried
- torch tune
- axolotl
- unsloth
But there is always a library that is not compatible with windows...
Is there a way de fine tune lama3 8B on windows ?
| 2024-07-03T05:03:01 | https://www.reddit.com/r/LocalLLaMA/comments/1du69vr/fine_tuning_framework_on_windows/ | No_Sleep_5543 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du69vr | false | null | t3_1du69vr | /r/LocalLLaMA/comments/1du69vr/fine_tuning_framework_on_windows/ | false | false | self | 3 | null |
Does Gemma2 share same vocabulary with Gemma? | 5 | I am considering using gemma-2b as a speculative model for gemma2-9b decoding.
Do they share the same vocabulary? | 2024-07-03T04:42:59 | https://www.reddit.com/r/LocalLLaMA/comments/1du5xph/does_gemma2_share_same_vocabulary_with_gemma/ | Dry_Cheesecake_8311 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du5xph | false | null | t3_1du5xph | /r/LocalLLaMA/comments/1du5xph/does_gemma2_share_same_vocabulary_with_gemma/ | false | false | self | 5 | null |
Claude Engineer vs Aider? | 4 | Claude Engineer vs Aider for "auto-generating" scripts and programs?
Anyone try both to have the LLM self generate applications or scripts? Wondering which is better.
Many seem to say using Claude Sonnet 3.5 API is the best for both. | 2024-07-03T04:32:24 | https://www.reddit.com/r/LocalLLaMA/comments/1du5rhc/claude_engineer_vs_aider/ | skeletor00 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du5rhc | false | null | t3_1du5rhc | /r/LocalLLaMA/comments/1du5rhc/claude_engineer_vs_aider/ | false | false | self | 4 | null |
MMLU-Pro is a math benchmark. | 85 | I just want to soapbox for a bit about what I think are some shortcomings of MMLU-Pro, as it seems to been rapidly adopted as the new darling of the benchmarking community.
I'm not sure if many have caught onto this yet, but [MMLU-Pro](https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro/viewer/default/test) is dominate... | 2024-07-03T03:52:51 | https://www.reddit.com/r/LocalLLaMA/comments/1du52gf/mmlupro_is_a_math_benchmark/ | _sqrkl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du52gf | false | null | t3_1du52gf | /r/LocalLLaMA/comments/1du52gf/mmlupro_is_a_math_benchmark/ | false | false | self | 85 | {'enabled': False, 'images': [{'id': 'KOIQu8xwiM6Yo0j2tqiXRLbxxWubzIux78s2MxmQLbg', 'resolutions': [{'height': 65, 'url': 'https://external-preview.redd.it/WZucxVgacKI4A8eJjh7c1mcLUyQB9KZlXpNos9aqpKs.png?width=108&crop=smart&auto=webp&s=04cd5ff54a09d084c0cb6d2ed70ad8d054fa2cbf', 'width': 108}, {'height': 130, 'url': 'h... |
Ollama adds /v1/models and /v1/completions OpenAI compatible APIs | 11 | - https://github.com/ollama/ollama/pull/5209
- https://github.com/ollama/ollama/pull/2476
Both merged into main today, if you're using their pre-built binaries you'll need to wait for the next release.
The models endpoint is nice as you query your models via the OpenAI compatible API and libraries, meaning that tools... | 2024-07-03T03:14:20 | https://www.reddit.com/r/LocalLLaMA/comments/1du4ddy/ollama_adds_v1models_and_v1completions_openai/ | sammcj | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du4ddy | false | null | t3_1du4ddy | /r/LocalLLaMA/comments/1du4ddy/ollama_adds_v1models_and_v1completions_openai/ | false | false | self | 11 | {'enabled': False, 'images': [{'id': 'HcuWnxSRGFPUuaFBLcvhhVAItAy-0A3hXUG6I6NwJho', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wdRwOza2OEeAxDZghaQwsz0F8zBg8pjrNnZQuL7HVjU.jpg?width=108&crop=smart&auto=webp&s=4c0f0ebf61f735c81cbfae40730b82d580b907af', 'width': 108}, {'height': 108, 'url': 'h... |
Request: How to run Qwen2 0.5B locally using Swift only? | 3 | Someone on my team is working on a feature that is using an LLM to just parse some unorganized text into JSON. Right now the plan is to run the LLM process through an API call.
I recently heard about Qwen2 0.5B and feel like that could be ran decently on device for this really simple and quick job. So I want to tinker... | 2024-07-03T03:02:46 | https://www.reddit.com/r/LocalLLaMA/comments/1du45rp/request_how_to_run_qwen2_05b_locally_using_swift/ | Optimistic_Futures | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du45rp | false | null | t3_1du45rp | /r/LocalLLaMA/comments/1du45rp/request_how_to_run_qwen2_05b_locally_using_swift/ | false | false | self | 3 | null |
NASA & IBM just released INDUS, an LLM built for earth and planetary science | 76 | 2024-07-03T02:56:15 | https://science.nasa.gov/open-science/ai-language-model-science-research/ | MaDommeRose | science.nasa.gov | 1970-01-01T00:00:00 | 0 | {} | 1du414g | false | null | t3_1du414g | /r/LocalLLaMA/comments/1du414g/nasa_ibm_just_released_indus_an_llm_built_for/ | false | false | 76 | {'enabled': False, 'images': [{'id': '-fP_3-3R_E4W7BkmjHUggjVHTcGzPDEcyaalYXQ-X2I', 'resolutions': [{'height': 86, 'url': 'https://external-preview.redd.it/JXEtEQ87AzUsXUc3p5MwSHyQfftPW5R8H-wX3KL4-xk.jpg?width=108&crop=smart&auto=webp&s=ccd0a722c81dfe9ead1b8d6a65393c31b4dbae8c', 'width': 108}, {'height': 173, 'url': 'h... | ||
Workstation for LLM Research | 1 | [removed] | 2024-07-03T02:24:39 | https://www.reddit.com/r/LocalLLaMA/comments/1du3fg6/workstation_for_llm_research/ | bigsmokegun | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du3fg6 | false | null | t3_1du3fg6 | /r/LocalLLaMA/comments/1du3fg6/workstation_for_llm_research/ | false | false | self | 1 | null |
2 GPU setup. 1 running the LLM. 2nd doing on-the-fly TTS possible? | 2 | I was wondering if with 2 GPUs, it's possible to use 1 for running the LLM, and the 2nd GPU doing TTS from the LLM on-the-fly? I was messing with KoboldCpp and saw that it does TTS, but it waits for the entire generation to start speaking. So my thought was to spread out the workload between 2 GPUs. It may not be pr... | 2024-07-03T02:22:12 | https://www.reddit.com/r/LocalLLaMA/comments/1du3dt7/2_gpu_setup_1_running_the_llm_2nd_doing_onthefly/ | DoNotDisturb____ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du3dt7 | false | null | t3_1du3dt7 | /r/LocalLLaMA/comments/1du3dt7/2_gpu_setup_1_running_the_llm_2nd_doing_onthefly/ | false | false | self | 2 | null |
Accurately Query Large Resource Data Using LLMs? | 4 | Hi everyone,
I'm working on integrating AWS resource information from my AWS accounts, starting with dumping AWS S3 bucket details into a CSV file. This includes bucket name, creation date, policy, lifecycle configuration, etc. I'm dealing with large data volumes (300+ buckets per account).
I've tried AWS services li... | 2024-07-03T01:49:55 | https://www.reddit.com/r/LocalLLaMA/comments/1du2r3o/accurately_query_large_resource_data_using_llms/ | insty | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du2r3o | false | null | t3_1du2r3o | /r/LocalLLaMA/comments/1du2r3o/accurately_query_large_resource_data_using_llms/ | false | false | self | 4 | null |
Efficiently Query Large Resource Data Using LLMs? | 1 | [removed] | 2024-07-03T01:40:54 | https://www.reddit.com/r/LocalLLaMA/comments/1du2kvm/efficiently_query_large_resource_data_using_llms/ | Plane-Speed-8418 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du2kvm | false | null | t3_1du2kvm | /r/LocalLLaMA/comments/1du2kvm/efficiently_query_large_resource_data_using_llms/ | false | false | self | 1 | null |
Andrej Karpathy's Zero to GPT Hero - 4 weeks AI Study Group @ Block | 1 | [removed] | 2024-07-03T01:20:29 | https://www.reddit.com/r/LocalLLaMA/comments/1du26n8/andrej_karpathys_zero_to_gpt_hero_4_weeks_ai/ | sigmoidp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du26n8 | false | null | t3_1du26n8 | /r/LocalLLaMA/comments/1du26n8/andrej_karpathys_zero_to_gpt_hero_4_weeks_ai/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'mJWDFxsP9aHXVmnGmNwkcXV00pCwpkOcb_l7Nd3rwT8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/aDoEX3vczUJz8R45BgjaT8MsBzzHgWRje8SmE4fTUeg.jpg?width=108&crop=smart&auto=webp&s=2bef344fd8feb611745d1ca4be7ca42d727e7eff', 'width': 108}, {'height': 121, 'url': 'h... |
Trained an LLM on synthetic data from Gutenberg books on historical warfare. Open-sourced the dataset, datagen pipeline, and the model itself! | 1 | **I feel like we need more niche domain-expert LLMs, so I made one**, **partly as a joke**, but also partly **as a demonstration of what's possible now.** Everything's open-sourced. Hope this is useful, or at least funny lol.
# The links:
Dataset: [https://huggingface.co/datasets/Heralax/antiquated-warfare](https://h... | 2024-07-03T00:48:48 | https://www.reddit.com/r/LocalLLaMA/comments/1du1jo5/trained_an_llm_on_synthetic_data_from_gutenberg/ | Heralax_Tekran | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du1jo5 | false | null | t3_1du1jo5 | /r/LocalLLaMA/comments/1du1jo5/trained_an_llm_on_synthetic_data_from_gutenberg/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'tGAzirdW4X18cbxixciTuiweFrcDhVm3VO3S-IbZ808', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/nQ1h-7uopnL4-BcNjI7mOjHu8TuOnHTaUgiAMknhthU.jpg?width=108&crop=smart&auto=webp&s=950369d259cb6760e8c3bc1d0d24243c38b82fe7', 'width': 108}, {'height': 116, 'url': 'h... | |
Small Model MMLU-Pro Comparisons: Llama3 8b, Mistral, Phi Medium and Yi! | 86 | *Note - Reposted with approval! Thank you!*
Inspired by [this post series ](https://www.reddit.com/r/LocalLLaMA/comments/1ds6da5/mmlupro_all_category_test_results_for_llama_3_70b/)comparing 70b models, I decided to try running[ the same program](https://github.com/chigkim/Ollama-MMLU-Pro) against some smaller (8ish b)... | 2024-07-03T00:09:55 | https://www.reddit.com/r/LocalLLaMA/comments/1du0rka/small_model_mmlupro_comparisons_llama3_8b_mistral/ | Invectorgator | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1du0rka | false | null | t3_1du0rka | /r/LocalLLaMA/comments/1du0rka/small_model_mmlupro_comparisons_llama3_8b_mistral/ | false | false | self | 86 | {'enabled': False, 'images': [{'id': 'srgYZDSB1vlVLNYMuNmxuZvtG7OTIEUd25LR3kA9x94', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/IcFABQclLcmpVHnwwQfPwKGuMPpY4nhZPyKR-He1620.jpg?width=108&crop=smart&auto=webp&s=3b64f771857e98b95489166039c98984e243ff76', 'width': 108}, {'height': 108, 'url': 'h... |
Seeking Suggestions for Fine-Tuning an LLM for Code Generation. | 1 | [removed] | 2024-07-02T23:23:50 | https://www.reddit.com/r/LocalLLaMA/comments/1dtzt9p/seeking_suggestions_for_finetuning_an_llm_for/ | yeaahIknow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtzt9p | false | null | t3_1dtzt9p | /r/LocalLLaMA/comments/1dtzt9p/seeking_suggestions_for_finetuning_an_llm_for/ | false | false | self | 1 | null |
Best TTS model right now that I can self host? | 125 | which TTS has the human like quality and I can self host ?
or is there a cheap API that gives good natural voice? | 2024-07-02T23:06:26 | https://www.reddit.com/r/LocalLLaMA/comments/1dtzfte/best_tts_model_right_now_that_i_can_self_host/ | Wonderful-Top-5360 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtzfte | false | null | t3_1dtzfte | /r/LocalLLaMA/comments/1dtzfte/best_tts_model_right_now_that_i_can_self_host/ | false | false | self | 125 | null |
Speccing a professional workstation for ML + GenAI workloads; which, if any, multi-GPU setups are worthwhile? | 1 | [removed] | 2024-07-02T22:49:23 | https://www.reddit.com/r/LocalLLaMA/comments/1dtz262/speccing_a_professional_workstation_for_ml_genai/ | hyouko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtz262 | false | null | t3_1dtz262 | /r/LocalLLaMA/comments/1dtz262/speccing_a_professional_workstation_for_ml_genai/ | false | false | self | 1 | null |
How to connect a Telegram Bot with Open WebUI? | 1 | [removed] | 2024-07-02T22:30:32 | https://www.reddit.com/r/LocalLLaMA/comments/1dtyn0l/how_to_connect_a_telegram_bot_with_open_webui/ | Vinsens33 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtyn0l | false | null | t3_1dtyn0l | /r/LocalLLaMA/comments/1dtyn0l/how_to_connect_a_telegram_bot_with_open_webui/ | false | false | self | 1 | null |
Why am I getting this weird output from the HF Mixtral 7x8B instruct model? It's completely off-prompt! | 2 | 2024-07-02T22:19:05 | crispin97 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1dtye26 | false | null | t3_1dtye26 | /r/LocalLLaMA/comments/1dtye26/why_am_i_getting_this_weird_output_from_the_hf/ | false | false | 2 | {'enabled': True, 'images': [{'id': 'LOtkCXjXDKN2S5y88OU_kDFMNc7rQmRUVk1t4uCp7fc', 'resolutions': [{'height': 139, 'url': 'https://preview.redd.it/z97zcz2dk6ad1.png?width=108&crop=smart&auto=webp&s=2cf87a15aefc30af6a38d43cd9cf78c3bd8198c7', 'width': 108}, {'height': 279, 'url': 'https://preview.redd.it/z97zcz2dk6ad1.pn... | |||
Best small base models? | 5 | Hey y'all, I'm using LLM for autocorrect. That means no instruct/chat fine-tuning.
I found posts asking 6 mos ago but things change so fast.
* Looking for SOTA base models
* Size 200m to 8b with quants
* Minimal censoring or abliterated
* Multi-language desired
* Supported in popular runtime like Llama.cpp or vllm ... | 2024-07-02T21:49:39 | https://www.reddit.com/r/LocalLLaMA/comments/1dtxqbe/best_small_base_models/ | eydivrks | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtxqbe | false | null | t3_1dtxqbe | /r/LocalLLaMA/comments/1dtxqbe/best_small_base_models/ | false | false | self | 5 | null |
Which specs have the biggest performance impact for CPU GGUF inference? | 11 | RAM latency? Frequency? Both? CPU? I know memory is the main bottleneck but RAM is complicated and I’m not sure if you’d be better off with low MHz high CAS, vice versa, or want both to be balanced, and if CPU speed plays any role at all. | 2024-07-02T21:45:34 | https://www.reddit.com/r/LocalLLaMA/comments/1dtxmxb/which_specs_have_the_biggest_performance_impact/ | Cressio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtxmxb | false | null | t3_1dtxmxb | /r/LocalLLaMA/comments/1dtxmxb/which_specs_have_the_biggest_performance_impact/ | false | false | self | 11 | null |
New Research from JHU found LLMs are more aware of long context than they show | 1 | [removed] | 2024-07-02T21:23:43 | https://www.reddit.com/r/LocalLLaMA/comments/1dtx53k/new_research_from_jhu_found_llms_are_more_aware/ | Shot-Contribution-79 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtx53k | false | null | t3_1dtx53k | /r/LocalLLaMA/comments/1dtx53k/new_research_from_jhu_found_llms_are_more_aware/ | false | false | self | 1 | null |
Just me ranting a bit :) | 48 | I get many here wants everyone to freely share with open source, and really it's great whenever people or orgs choose to do so!
But this dev stuff requires a lot of work, time, expertise and energy expended, so it's perfectly understandable that people wants to get paid for the work they do.
I swear I get so angry w... | 2024-07-02T21:19:34 | https://www.reddit.com/r/LocalLLaMA/comments/1dtx1im/just_me_ranting_a_bit/ | Severin_Suveren | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtx1im | false | null | t3_1dtx1im | /r/LocalLLaMA/comments/1dtx1im/just_me_ranting_a_bit/ | false | false | self | 48 | null |
Partial quanitization - keep the output and embed tensors af f16? | 4 | [This discussion on HuggingFace](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf/discussions/19#668441ad45d8ceb446caf4b7) regarding Phi3 Mini caught my eye.
Here's a screenshot from the first post:
https://preview.redd.it/k53lsecs56ad1.png?width=1380&format=png&auto=webp&s=4d351c2b2a084b41aef7d461237a547... | 2024-07-02T21:00:54 | https://www.reddit.com/r/LocalLLaMA/comments/1dtwlv2/partial_quanitization_keep_the_output_and_embed/ | privacyparachute | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtwlv2 | false | null | t3_1dtwlv2 | /r/LocalLLaMA/comments/1dtwlv2/partial_quanitization_keep_the_output_and_embed/ | false | false | 4 | {'enabled': False, 'images': [{'id': '3Drz6KQMXYdSR29c6_Doi-RpfZb7RhM9RFSAuJGcWFw', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/6yPVaUH1japspiJZv5zhIvThgOQ8oo49lUZTJEte8Tk.jpg?width=108&crop=smart&auto=webp&s=488f18c41df561d63d3d5ac08522bdad93a5dbd9', 'width': 108}, {'height': 116, 'url': 'h... | |
A comprehensive guide on finetuning a large language model | 1 | [removed] | 2024-07-02T20:55:08 | https://www.reddit.com/r/LocalLLaMA/comments/1dtwgzv/a_comprehensive_guide_on_finetuning_a_large/ | paulrohan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtwgzv | false | null | t3_1dtwgzv | /r/LocalLLaMA/comments/1dtwgzv/a_comprehensive_guide_on_finetuning_a_large/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'omjNsLoadDqQZRDXZK7zxGNRXlJ1cAFYUzTFlwgnuQs', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/fQ9odsDXknoL4dzBwYX1jBBk3nuLjbIihzF3kLIA9_g.jpg?width=108&crop=smart&auto=webp&s=eb4d35dd4e5a9b9a3f730e8b7f929273e7bbc754', 'width': 108}, {'height': 121, 'url': 'h... |
LLM SPPO works FAR better than most people realize! | 1 | [removed] | 2024-07-02T20:35:57 | https://www.reddit.com/r/LocalLLaMA/comments/1dtw18m/llm_sppo_works_far_better_than_most_people_realize/ | Revolutionalredstone | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtw18m | false | null | t3_1dtw18m | /r/LocalLLaMA/comments/1dtw18m/llm_sppo_works_far_better_than_most_people_realize/ | false | false | self | 1 | null |
Advice required for multi-user local LLM QnA chatbot for sales team
| 2 | [removed] | 2024-07-02T20:34:29 | https://www.reddit.com/r/LocalLLaMA/comments/1dtw00s/advice_required_for_multiuser_local_llm_qna/ | thedarkpassenger747 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtw00s | false | null | t3_1dtw00s | /r/LocalLLaMA/comments/1dtw00s/advice_required_for_multiuser_local_llm_qna/ | false | false | self | 2 | null |
What am I looking for when picking roleplay models? | 0 | I am browsing the leatherboard on huggingface and I wonder what benchmark I'd look for concerning models for roleplay. | 2024-07-02T20:16:51 | https://www.reddit.com/r/LocalLLaMA/comments/1dtvl3a/what_am_i_looking_for_when_picking_roleplay_models/ | dreamyrhodes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtvl3a | false | null | t3_1dtvl3a | /r/LocalLLaMA/comments/1dtvl3a/what_am_i_looking_for_when_picking_roleplay_models/ | false | false | self | 0 | null |
Context packing | 0 | I have an idea to improve the way the context window works. What if, instead of putting all the prompts and responses into a new prompt for context, some extra step would be taken to package that text? For example, using a specially trained LLM to pack context into relatively short and detailed text.
This way, the LLM... | 2024-07-02T20:12:01 | https://www.reddit.com/r/LocalLLaMA/comments/1dtvgqm/context_packing/ | mrsilverfr0st | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtvgqm | false | null | t3_1dtvgqm | /r/LocalLLaMA/comments/1dtvgqm/context_packing/ | false | false | self | 0 | null |
Current best NSFW 70b model? | 243 | I’ve been out of the loop for a bit, and looking for opinions on the current best 70b model for ERP type stuff, preferably something with decent GGUF quants out there. Last one I was running Lumimaid but I wanted to know if there was anything more advanced now. Thanks for any input. | 2024-07-02T19:20:37 | https://www.reddit.com/r/LocalLLaMA/comments/1dtu8g7/current_best_nsfw_70b_model/ | ThatHorribleSound | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtu8g7 | false | null | t3_1dtu8g7 | /r/LocalLLaMA/comments/1dtu8g7/current_best_nsfw_70b_model/ | false | false | nsfw | 243 | null |
My simple Django app for llama.cpp and RAG use | 1 | [removed] | 2024-07-02T19:05:33 | https://www.reddit.com/r/LocalLLaMA/comments/1dttvmd/my_simple_django_app_for_llamacpp_and_rag_use/ | BPCodes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dttvmd | false | null | t3_1dttvmd | /r/LocalLLaMA/comments/1dttvmd/my_simple_django_app_for_llamacpp_and_rag_use/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'ORo_XK-4Fc2rNY3frzKxH5Y5J3pUVRln92ZRacPRbCw', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/ycVRP0VEZPLkaWG1ccqhdocD9U-WYGe0ztUdhEyjNjI.jpg?width=108&crop=smart&auto=webp&s=b7b6bbe52589b64a9e0140d8fd7f6e670927c5c5', 'width': 108}, {'height': 162, 'url': 'h... |
Easy way to let customers connect their data (sharepoint, gdrive) to our RAG chatbot? | 1 | [removed] | 2024-07-02T18:58:56 | https://www.reddit.com/r/LocalLLaMA/comments/1dttpre/easy_way_to_let_customers_connect_their_data/ | Kind_Parking_2695 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dttpre | false | null | t3_1dttpre | /r/LocalLLaMA/comments/1dttpre/easy_way_to_let_customers_connect_their_data/ | false | false | self | 1 | null |
i need help installing oogabooga | 1 | [removed] | 2024-07-02T18:44:11 | https://www.reddit.com/r/LocalLLaMA/comments/1dttcwr/i_need_help_installing_oogabooga/ | SoftChain2455 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dttcwr | false | null | t3_1dttcwr | /r/LocalLLaMA/comments/1dttcwr/i_need_help_installing_oogabooga/ | false | false | self | 1 | null |
I need help installing oobabooga | 1 | [removed] | 2024-07-02T18:39:43 | https://www.reddit.com/r/LocalLLaMA/comments/1dtt93x/i_need_help_installing_oobabooga/ | SoftChain2455 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtt93x | false | null | t3_1dtt93x | /r/LocalLLaMA/comments/1dtt93x/i_need_help_installing_oobabooga/ | false | false | self | 1 | null |
How to run a Local LLM with a MacBook? | 2 | Hey guys, I recently switched over from my gaming desktop to an M3 MacBook for convenience. I'm not sure how well this will run a local LLM since it doesn't have an NVIDIA GPU, and was wondering how to go about it
Any help is appreciated! | 2024-07-02T18:34:45 | https://www.reddit.com/r/LocalLLaMA/comments/1dtt4uo/how_to_run_a_local_llm_with_a_macbook/ | Monochrome21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtt4uo | false | null | t3_1dtt4uo | /r/LocalLLaMA/comments/1dtt4uo/how_to_run_a_local_llm_with_a_macbook/ | false | false | self | 2 | null |
New collection of Llama, Mistral, Phi, Qwen, and Gemma models for function/tool calling | 52 | Introducing Rubra v0.1: a Collection of Open-Weight, Tool-Calling LLMs
Try it out [here](https://huggingface.co/spaces/sanjay920/rubra-v0.1-function-calling) in Hugging Face Spaces for free!
We also extended vLLM and llama.cpp so you can get started really easily. Check out our docs: [Rubra Documentation](https://doc... | 2024-07-02T18:32:35 | https://www.reddit.com/r/LocalLLaMA/comments/1dtt32y/new_collection_of_llama_mistral_phi_qwen_and/ | sanjay920 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtt32y | false | null | t3_1dtt32y | /r/LocalLLaMA/comments/1dtt32y/new_collection_of_llama_mistral_phi_qwen_and/ | false | false | self | 52 | null |
FPHam-L3-8B-Everything-COT Chain of Thought model | 50 | Remember the COT (chain of thought) models in the "past" ? (past is a funny word)
Here is an *experimental* Llama 3 8B COT model that questions everything to the point of being almost paranoid.
This was a bit of experiment of course, and I'm not sure if you want or need this, but here it is regardless.
Works fine ... | 2024-07-02T18:16:35 | https://www.reddit.com/r/LocalLLaMA/comments/1dtsozo/fphaml38beverythingcot_chain_of_thought_model/ | FPham | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtsozo | false | null | t3_1dtsozo | /r/LocalLLaMA/comments/1dtsozo/fphaml38beverythingcot_chain_of_thought_model/ | false | false | 50 | {'enabled': False, 'images': [{'id': 'yV1pb7ozeyUinR3L9_TKlB6gU8p57tivCvKNfqWL4eE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/J6QXKtDI_W0m48mpD7Djp2IRA-mrd9ucCXsZsTs5O_0.jpg?width=108&crop=smart&auto=webp&s=b000f25cf404b02e9117c97ae9fb4bbdbe723dbd', 'width': 108}, {'height': 116, 'url': 'h... | |
Self-host Llama 3 on your own cloud in Python | 10 | From what I’ve inferred from past posts, **local** often means finding a way to privately self-host Llama or other LLM. If you don’t have the correct hardware on hand, deploying GPU instances on your cloud provider (AWS, GCP, etc) is an ideal way to efficiently host Llama to run locally - or as a backend for an app - o... | 2024-07-02T18:07:44 | https://www.reddit.com/r/LocalLLaMA/comments/1dtshho/selfhost_llama_3_on_your_own_cloud_in_python/ | KanDoAttitude | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtshho | false | null | t3_1dtshho | /r/LocalLLaMA/comments/1dtshho/selfhost_llama_3_on_your_own_cloud_in_python/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': '4oGwQJOdnLRAHcf2PnKdqTjb4oIFpcvJcmD3iNjOazs', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/-Si2063875nocDacLYhk47CzCdoJs0HuO37a-9AZ0ew.jpg?width=108&crop=smart&auto=webp&s=b88a68a1c6781846f03a98fd3500a0327ad6f61e', 'width': 108}, {'height': 113, 'url': 'h... |
Would it infringe copyright to train a local (none distributed) llm on company data to boost your workflow? | 0 | Please don’t provide your personal opinions although they may be heartfelt. What I need are references to the law. EU law if possible. | 2024-07-02T17:29:22 | https://www.reddit.com/r/LocalLLaMA/comments/1dtrjwq/would_it_infringe_copyright_to_train_a_local_none/ | Shadowarchcat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtrjwq | false | null | t3_1dtrjwq | /r/LocalLLaMA/comments/1dtrjwq/would_it_infringe_copyright_to_train_a_local_none/ | false | false | self | 0 | null |
Using Adapters with VLLM or LMDeploy | 1 | [removed] | 2024-07-02T17:25:11 | https://www.reddit.com/r/LocalLLaMA/comments/1dtrg92/using_adapters_with_vllm_or_lmdeploy/ | Great-Hall-1516 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtrg92 | false | null | t3_1dtrg92 | /r/LocalLLaMA/comments/1dtrg92/using_adapters_with_vllm_or_lmdeploy/ | false | false | self | 1 | null |
Best ui for llm inference where i can setup local server for family | 8 | i been using lmstudio for now and want to check out other ui, there is local server option in lmstudio but i guess its only used for api queries, currently i have a 3090 so whats the best ui for llm inference where i can setup local server, so that my family members can do queries directly from their pc or mobile. I ha... | 2024-07-02T17:19:37 | https://www.reddit.com/r/LocalLLaMA/comments/1dtrbgy/best_ui_for_llm_inference_where_i_can_setup_local/ | throwwwawwway1818 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtrbgy | false | null | t3_1dtrbgy | /r/LocalLLaMA/comments/1dtrbgy/best_ui_for_llm_inference_where_i_can_setup_local/ | false | false | self | 8 | null |
Converting hugging face model to onnx format | 1 | [removed] | 2024-07-02T17:02:26 | https://www.reddit.com/r/LocalLLaMA/comments/1dtqw8m/converting_hugging_face_model_to_onnx_format/ | nikmaikl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtqw8m | false | null | t3_1dtqw8m | /r/LocalLLaMA/comments/1dtqw8m/converting_hugging_face_model_to_onnx_format/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'e8QwQncxMIDxr9JHjgpGQzS7LoNVT0cdp-JPqKeaTQI', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/G-gOAlSSiUGr8e34RsMrnn7pk62DBml_0lkLlm7CMHg.jpg?width=108&crop=smart&auto=webp&s=67729f36cf88be9203784ccf7bfe32c125d4502c', 'width': 108}, {'height': 116, 'url': 'h... |
Agent RAG (Parallel Quotes) - How we built RAG on 10,000's of docs with extremely high accuracy | 1 | [removed] | 2024-07-02T16:59:48 | https://www.reddit.com/r/LocalLLaMA/comments/1dtqtjy/agent_rag_parallel_quotes_how_we_built_rag_on/ | coolcloud | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtqtjy | false | null | t3_1dtqtjy | /r/LocalLLaMA/comments/1dtqtjy/agent_rag_parallel_quotes_how_we_built_rag_on/ | false | false | 1 | null | |
Buying a new laptop, which one of these can utilize LLaMA 3 the best? | 1 | [removed] | 2024-07-02T16:52:20 | https://www.reddit.com/r/LocalLLaMA/comments/1dtqn0l/buying_a_new_laptop_which_one_of_these_can/ | Adhyonysus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtqn0l | false | null | t3_1dtqn0l | /r/LocalLLaMA/comments/1dtqn0l/buying_a_new_laptop_which_one_of_these_can/ | false | false | self | 1 | null |
LLM without MatMul... interesting paper. | 18 | [2406.02528 (arxiv.org)](https://arxiv.org/pdf/2406.02528) | 2024-07-02T16:21:11 | https://www.reddit.com/r/LocalLLaMA/comments/1dtpvya/llm_without_matmul_interesting_paper/ | Robert__Sinclair | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtpvya | false | null | t3_1dtpvya | /r/LocalLLaMA/comments/1dtpvya/llm_without_matmul_interesting_paper/ | false | false | self | 18 | null |
Multi-GPU Usage Scaling Issue | 1 | [removed] | 2024-07-02T16:06:44 | https://www.reddit.com/r/LocalLLaMA/comments/1dtpjg7/multigpu_usage_scaling_issue/ | Any_Progress8559 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtpjg7 | false | null | t3_1dtpjg7 | /r/LocalLLaMA/comments/1dtpjg7/multigpu_usage_scaling_issue/ | false | false | self | 1 | null |
GPT4All 3.0: The Open-Source Local LLM Desktop Application | 153 | 2024-07-02T15:52:42 | https://x.com/nomic_ai/status/1808162955806097767 | NomicAI | x.com | 1970-01-01T00:00:00 | 0 | {} | 1dtp71h | false | null | t3_1dtp71h | /r/LocalLLaMA/comments/1dtp71h/gpt4all_30_the_opensource_local_llm_desktop/ | false | false | 153 | {'enabled': False, 'images': [{'id': '_CzH6tK7Lbk7Ba8-wHgPJqZ-VvyIvQZ-ykL1XYd4TKc', 'resolutions': [{'height': 59, 'url': 'https://external-preview.redd.it/fImF3SGREIJO8klkZIjylhGZIWQvsqOlU5p8JEJwtus.jpg?width=108&crop=smart&auto=webp&s=63476722a8dfbf2a1d81aff66a03656f8ce338fc', 'width': 108}, {'height': 119, 'url': 'h... | ||
Llama3 on vllm quantization | 1 | [removed] | 2024-07-02T15:43:40 | https://www.reddit.com/r/LocalLLaMA/comments/1dtoz7w/llama3_on_vllm_quantization/ | masalapav69 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtoz7w | false | null | t3_1dtoz7w | /r/LocalLLaMA/comments/1dtoz7w/llama3_on_vllm_quantization/ | false | false | self | 1 | null |
GPT4All 3.0: The Open-Source Local LLM Desktop Application | 22 | 2024-07-02T15:42:17 | https://x.com/nomic_ai/status/1808162957492187415 | NomicAI | x.com | 1970-01-01T00:00:00 | 0 | {} | 1dtoxxd | false | null | t3_1dtoxxd | /r/LocalLLaMA/comments/1dtoxxd/gpt4all_30_the_opensource_local_llm_desktop/ | false | false | 22 | {'enabled': False, 'images': [{'id': 'BHfFpJ9sPW4S81BQCo8JLJPDnOmRPVdI64MlU6GEe-I', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/srEz8AfTsY493aBO7tiqCprAn02tJhdNTb87nWq1JB8.jpg?width=108&crop=smart&auto=webp&s=d3f6d1fa67f599299603aee64d053dffc97ba684', 'width': 108}], 'source': {'height': 20... | ||
LLM config | 1 | [removed] | 2024-07-02T15:35:13 | https://www.reddit.com/r/LocalLLaMA/comments/1dtors2/llm_config/ | Imaginary_Ask3560 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtors2 | false | null | t3_1dtors2 | /r/LocalLLaMA/comments/1dtors2/llm_config/ | false | false | self | 1 | null |
Beginner / Question - Chatbot LLM for Public Services | 1 | [removed] | 2024-07-02T15:20:36 | https://www.reddit.com/r/LocalLLaMA/comments/1dtof43/beginner_question_chatbot_llm_for_public_services/ | babal80198 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtof43 | false | null | t3_1dtof43 | /r/LocalLLaMA/comments/1dtof43/beginner_question_chatbot_llm_for_public_services/ | false | false | self | 1 | null |
Has Anyone Successfully Deployed CLIP Model Inference with TensorRT? Looking for Tips and Performance Insights! | 1 | [removed] | 2024-07-02T15:20:10 | https://www.reddit.com/r/LocalLLaMA/comments/1dtoeql/has_anyone_successfully_deployed_clip_model/ | Puzzleheaded-Brief25 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtoeql | false | null | t3_1dtoeql | /r/LocalLLaMA/comments/1dtoeql/has_anyone_successfully_deployed_clip_model/ | false | false | self | 1 | null |
Fine-Tuning Llama3 on a New Programming Language? | 14 | Hello,
I have a new programming language that I would like Llama3 to understand and be able to generate. This language was not included in the Llama3 training dataset at all, but follows conventions similar to commonly used languages, most notably Java. What is the best approach for achieving this goal? Is it fine-... | 2024-07-02T15:07:00 | https://www.reddit.com/r/LocalLLaMA/comments/1dto3om/finetuning_llama3_on_a_new_programming_language/ | Heart_Routine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dto3om | false | null | t3_1dto3om | /r/LocalLLaMA/comments/1dto3om/finetuning_llama3_on_a_new_programming_language/ | false | false | self | 14 | null |
What is the current best Mistral 7b v0.3 finetune? | 36 | After [yesterday's small model MMLU-Pro results post](https://www.reddit.com/r/LocalLLaMA/comments/1dt8s0k/small_model_mmlupro_comparisons_llama3_8b_mistral/), seeing how Mistral 7b v0.3 was punching high above its weight not only against Llama 3 8b but also against Phi Medium 14b, I realized that it either is better a... | 2024-07-02T15:04:04 | https://www.reddit.com/r/LocalLLaMA/comments/1dto14u/what_is_the_current_best_mistral_7b_v03_finetune/ | SomeOddCodeGuy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dto14u | false | null | t3_1dto14u | /r/LocalLLaMA/comments/1dto14u/what_is_the_current_best_mistral_7b_v03_finetune/ | false | false | self | 36 | null |
Options for hardware (T3600) | 1 | [removed] | 2024-07-02T15:01:30 | https://www.reddit.com/r/LocalLLaMA/comments/1dtnyv2/options_for_hardware_t3600/ | FragmentedCode | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtnyv2 | false | null | t3_1dtnyv2 | /r/LocalLLaMA/comments/1dtnyv2/options_for_hardware_t3600/ | false | false | self | 1 | null |
Has Anyone Successfully Used TensorRT for CLIP Model Inference? | 1 | [removed] | 2024-07-02T14:49:55 | https://www.reddit.com/r/LocalLLaMA/comments/1dtnorf/has_anyone_successfully_used_tensorrt_for_clip/ | dhaivat19196 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtnorf | false | null | t3_1dtnorf | /r/LocalLLaMA/comments/1dtnorf/has_anyone_successfully_used_tensorrt_for_clip/ | false | false | self | 1 | null |
ChatGPT can handle dates in tables? | 1 | [removed] | 2024-07-02T14:40:53 | https://www.reddit.com/r/LocalLLaMA/comments/1dtnhap/chatgpt_can_handle_dates_in_tables/ | SonicDasherX | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtnhap | false | null | t3_1dtnhap | /r/LocalLLaMA/comments/1dtnhap/chatgpt_can_handle_dates_in_tables/ | false | false | self | 1 | null |
[Discussion] Has Anyone Successfully Used TensorRT for CLIP Model Inference? | 1 | [removed] | 2024-07-02T14:27:01 | https://www.reddit.com/r/LocalLLaMA/comments/1dtn5z3/discussion_has_anyone_successfully_used_tensorrt/ | Mysterious_End_8021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1dtn5z3 | false | null | t3_1dtn5z3 | /r/LocalLLaMA/comments/1dtn5z3/discussion_has_anyone_successfully_used_tensorrt/ | false | false | self | 1 | null |
GPUs can now use PCIe-attached memory or SSDs to boost VRAM capacity —Panmnesia's CXL IP claims double-digit nanosecond latency | 193 | 2024-07-02T14:21:59 | https://www.tomshardware.com/pc-components/gpus/gpus-get-a-boost-from-pcie-attached-memory-that-boosts-capacity-and-delivers-double-digit-nanosecond-latency-ssds-can-also-be-used-to-expand-gpu-memory-capacity-via-panmnesias-cxl-ip | DeltaSqueezer | tomshardware.com | 1970-01-01T00:00:00 | 0 | {} | 1dtn1ye | false | null | t3_1dtn1ye | /r/LocalLLaMA/comments/1dtn1ye/gpus_can_now_use_pcieattached_memory_or_ssds_to/ | false | false | 193 | {'enabled': False, 'images': [{'id': 'NW4qg5aFYzpsJuHeJXIGHRvCsA03H1ntG-Zjni4BBl8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/r1M-Rxfhi1Z1FBMXqlNqL57x-qZvy8jYHVmh0ADjuKw.jpg?width=108&crop=smart&auto=webp&s=8e6a36da8cd704e814950e4c41b8ce1d0e7a38dc', 'width': 108}, {'height': 121, 'url': 'h... |
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