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Are there good open source text to speech models that I can run locally? What software do I need for this? | 1 | What software is needed to run this?
Do I need good hardware?
Is there a dedicated subreddit for this? | 2024-01-03T11:57:37 | https://www.reddit.com/r/LocalLLaMA/comments/18xhqa3/are_there_good_open_source_text_to_speech_models/ | panic_in_the_galaxy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xhqa3 | false | null | t3_18xhqa3 | /r/LocalLLaMA/comments/18xhqa3/are_there_good_open_source_text_to_speech_models/ | false | false | self | 1 | null |
Help me with some info | 1 | Locally running Ollama in docker
With ollama web ui.
I got an i3 8th Gen processor. So no iGPU support. Only running on CPU.
It takes a sweet 10-15 seconds to start typing but as i saw my server stats the CPU usage stays at 99% !
Am i doing something wrong? Or is this how it is? I just discovered ollama and this is m... | 2024-01-03T11:11:41 | https://www.reddit.com/r/LocalLLaMA/comments/18xgzk0/help_me_with_some_info/ | Tharunx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xgzk0 | false | null | t3_18xgzk0 | /r/LocalLLaMA/comments/18xgzk0/help_me_with_some_info/ | false | false | self | 1 | null |
Reminds me of how the USSR figured out that the US was working on the bomb because the best physicists all stopped publishing. | 1 | [removed] | 2024-01-03T11:10:28 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 18xgytc | false | null | t3_18xgytc | /r/LocalLLaMA/comments/18xgytc/reminds_me_of_how_the_ussr_figured_out_that_the/ | false | false | default | 1 | null | ||
Reminds me of how the USSR figured out that the US was working on the bomb because the best physicists all stopped publishing. | 1 | [removed] | 2024-01-03T11:09:46 | HOLUPREDICTIONS | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18xgybz | false | null | t3_18xgybz | /r/LocalLLaMA/comments/18xgybz/reminds_me_of_how_the_ussr_figured_out_that_the/ | false | false | 1 | {'enabled': True, 'images': [{'id': '8XSMXg0J5BJF3VFQ8iPFlFG0QR77mCkzfw93GPKCNuw', 'resolutions': [{'height': 115, 'url': 'https://preview.redd.it/kg5j730yj7ac1.jpeg?width=108&crop=smart&auto=webp&s=8c71e27f2daed8dd1ac677fd6e9d9fbe49a55655', 'width': 108}, {'height': 230, 'url': 'https://preview.redd.it/kg5j730yj7ac1.j... | ||
LLM model size on GPU and disk | 1 | Why does a llm model takes more memory on GPU(loaded in full precision) then it takes to store in on disk? | 2024-01-03T11:06:51 | https://www.reddit.com/r/LocalLLaMA/comments/18xgwoh/llm_model_size_on_gpu_and_disk/ | One-Difficulty3149 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xgwoh | false | null | t3_18xgwoh | /r/LocalLLaMA/comments/18xgwoh/llm_model_size_on_gpu_and_disk/ | false | false | self | 1 | null |
32GB RAM, RTX A2000 for 7b models | 1 | I am looking to run and fine tune 7b models locally. I have very little knowledge of hardware -- I'm ready to pull the trigger on a computer with 32GB RAM, RTX A2000. Is this a sufficient setup to run these models? My primary interest is rubbing data extraction models and RAG. | 2024-01-03T10:50:32 | https://www.reddit.com/r/LocalLLaMA/comments/18xgmnw/32gb_ram_rtx_a2000_for_7b_models/ | purple_sack_lunch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xgmnw | false | null | t3_18xgmnw | /r/LocalLLaMA/comments/18xgmnw/32gb_ram_rtx_a2000_for_7b_models/ | false | false | self | 1 | null |
Positional Encodings with QK kernels using FFT: Generalizing to long context windows | 1 | I've developed yet another method for positional encodings in transformers that has folowing features:
- Does not introduce any additional parameters or hyperparameters to the model
- Does not have any hard limits in terms of context window length
- Generalizes to at least 10x context window length it was trained on (... | 2024-01-03T10:41:35 | https://www.reddit.com/r/LocalLLaMA/comments/18xghqc/positional_encodings_with_qk_kernels_using_fft/ | alagagbar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xghqc | false | null | t3_18xghqc | /r/LocalLLaMA/comments/18xghqc/positional_encodings_with_qk_kernels_using_fft/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'nkhh65ujo5BznFJFojoMPaKjGuLSpPj6KGhRov-ykOg', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/0-fRWqjlLadVXj5pfYp4_Oe3xgBWE-_rdjVSn7hlohI.jpg?width=108&crop=smart&auto=webp&s=f34d2dfdbbfa7de0f1956f186fd8430ee96a1a55', 'width': 108}, {'height': 216, 'url': '... |
Anyone else find high-speed token generation when using very small models on GPU for roleplay overwhelming? | 1 | I don't know why, but when I use small 7B models for role play where the token generation speed is much higher than my reading speed, it feels very unnatural and breaks the immersion. Anyone else feel the same? | 2024-01-03T10:41:34 | https://www.reddit.com/r/LocalLLaMA/comments/18xghq6/anyone_else_find_highspeed_token_generation_when/ | StellarBeing25 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xghq6 | false | null | t3_18xghq6 | /r/LocalLLaMA/comments/18xghq6/anyone_else_find_highspeed_token_generation_when/ | false | false | self | 1 | null |
I have a 4090 laptop 16GB vram and will get 96GB DDR5 can I run 34B on both ram and vram? | 1 | It’s a Alienware M18 | 2024-01-03T10:02:27 | https://www.reddit.com/r/LocalLLaMA/comments/18xfwb1/i_have_a_4090_laptop_16gb_vram_and_will_get_96gb/ | 3DLaserPrint | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xfwb1 | false | null | t3_18xfwb1 | /r/LocalLLaMA/comments/18xfwb1/i_have_a_4090_laptop_16gb_vram_and_will_get_96gb/ | false | false | self | 1 | null |
Usage of Text Processing for RAG-applications | 1 | Hi,
i hope this is the right topic, since this is more about preprocessing than LLMs itself.
I'm experimenting with building RAG (documentation of certain user manuals) and one thing i read rarely about is the preprocessing of the text in this context. Most time i read about the way of chunking, chunk sizes and overl... | 2024-01-03T09:52:51 | https://www.reddit.com/r/LocalLLaMA/comments/18xfr5g/usage_of_text_processing_for_ragapplications/ | Purity1212 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xfr5g | false | null | t3_18xfr5g | /r/LocalLLaMA/comments/18xfr5g/usage_of_text_processing_for_ragapplications/ | false | false | self | 1 | null |
Where to host RAG? | 1 |
I'm working on a student project that involves a FastAPI backend serving a RAG (Retrieval-Augmented Generation) application, which interfaces with a frontend already hosted on Netlify. The app leverages the LLaMA index, and I recently made some enhancements following the "small to big retrieval" strategies outlined ... | 2024-01-03T08:09:47 | https://www.reddit.com/r/LocalLLaMA/comments/18xe8wh/where_to_host_rag/ | Notchampa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xe8wh | false | null | t3_18xe8wh | /r/LocalLLaMA/comments/18xe8wh/where_to_host_rag/ | false | false | self | 1 | null |
How to build a server setup using nvidia A100 GPU for experimentation | 1 | Can you guide me or point out any resources that can help me build a server setup with A100, all the different suitable hardware components needed to build this for LLMs and future machine learning models experimentation.
We are planning to build an in house experimentation setup (at our small company) but most of us... | 2024-01-03T07:47:50 | https://www.reddit.com/r/LocalLLaMA/comments/18xdwo8/how_to_build_a_server_setup_using_nvidia_a100_gpu/ | batWayne01 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xdwo8 | false | null | t3_18xdwo8 | /r/LocalLLaMA/comments/18xdwo8/how_to_build_a_server_setup_using_nvidia_a100_gpu/ | false | false | self | 1 | null |
AVX vs AVX2? | 1 | Hi guys, back with another question as I'm collecting parts for a dedicated AI system. Does AVX2 make a considerable difference in terms of speed and compatibility when running primarily on GPU? Hunting around for a 2u server that can comfortably take P40s or P100s has yielded models that support the E5 V2 platform for... | 2024-01-03T07:05:07 | https://www.reddit.com/r/LocalLLaMA/comments/18xd8z6/avx_vs_avx2/ | PaperboyNZ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xd8z6 | false | null | t3_18xd8z6 | /r/LocalLLaMA/comments/18xd8z6/avx_vs_avx2/ | false | false | self | 1 | null |
only gpt 4 has been able to solve this (simple?) coding task. | 1 | [removed] | 2024-01-03T07:04:17 | https://www.reddit.com/r/LocalLLaMA/comments/18xd8ia/only_gpt_4_has_been_able_to_solve_this_simple/ | Mountain_Creme_6225 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xd8ia | false | null | t3_18xd8ia | /r/LocalLLaMA/comments/18xd8ia/only_gpt_4_has_been_able_to_solve_this_simple/ | false | false | 1 | null | |
I want a local model for translation task , mostly english and chinese, any suggestions? | 1 | I know there are too many models , but currently I want to make some practical use of it, so I think translation is a good use , since I can use it in many places once I can use openai api to connect to local model
any one can suggest the best model currently available for local deployment for this task, thanks. | 2024-01-03T06:41:31 | https://www.reddit.com/r/LocalLLaMA/comments/18xcuvw/i_want_a_local_model_for_translation_task_mostly/ | fenghuangshan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xcuvw | false | null | t3_18xcuvw | /r/LocalLLaMA/comments/18xcuvw/i_want_a_local_model_for_translation_task_mostly/ | false | false | self | 1 | null |
What is the easiest way to serve a GGUF model as an OpenAI-compatible endpoint? | 1 | Currently, vLLM has a neat command to serve a model as an OpenAI-compatible endpoint.
[https://docs.vllm.ai/en/latest/getting\_started/quickstart.html#using-openai-chat-api-with-vllm](https://docs.vllm.ai/en/latest/getting_started/quickstart.html#using-openai-chat-api-with-vllm)
​
I want to do the same for GG... | 2024-01-03T06:41:08 | https://www.reddit.com/r/LocalLLaMA/comments/18xcuni/what_is_the_easiest_way_to_serve_a_gguf_model_as/ | ai_waifu_enjoyer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xcuni | false | null | t3_18xcuni | /r/LocalLLaMA/comments/18xcuni/what_is_the_easiest_way_to_serve_a_gguf_model_as/ | false | false | self | 1 | null |
Export model without reloading | 1 | Hello all,
I am using llama\_index LlamaCPP to load the model before the start of flask api.
Scenario Expected: Load the model once and use it in all concurrent api calls.
These are some of the ways i tried,
When api call comes in I pass the loaded model as argument to a function which is located in another file. ... | 2024-01-03T06:03:41 | https://www.reddit.com/r/LocalLLaMA/comments/18xc78d/export_model_without_reloading/ | YuvarajVelu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xc78d | false | null | t3_18xc78d | /r/LocalLLaMA/comments/18xc78d/export_model_without_reloading/ | false | false | self | 1 | null |
Open LLM leaderboard is disgusting | 1 | It's hilarious how overfit the top models are to the evals. Take jeonsworld/CarbonVillain-en-10.7B-v4, which currently tops the leaderboard. It's a merge of:
* jeonsworld/CarbonVillain-en-10.7B-v2
* Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct
* VAGOsolutions/SauerkrautLM-SOLAR-Instruct
* fblgit/UNA-SOLAR-... | 2024-01-03T05:21:38 | https://www.reddit.com/r/LocalLLaMA/comments/18xbevs/open_llm_leaderboard_is_disgusting/ | keisukegoda3804 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xbevs | false | null | t3_18xbevs | /r/LocalLLaMA/comments/18xbevs/open_llm_leaderboard_is_disgusting/ | false | false | self | 1 | null |
Fast and good enough 3B models for CPU inference (storytelling, roleplaying, quick summarizing) | 1 | I'm using StableLM-Zephyr-3B as my daily driver so far because it uses very little RAM, enough for 8 GB or 16 GB laptops, and it outputs at 10 t/s using CPU inference. The quality is good enough for story frameworks that I then add on to.
Any other recommendations in the 1B to 3B class? The Phi 2-based models are hit-... | 2024-01-03T05:09:41 | https://www.reddit.com/r/LocalLLaMA/comments/18xb6zu/fast_and_good_enough_3b_models_for_cpu_inference/ | Some_Endian_FP17 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xb6zu | false | null | t3_18xb6zu | /r/LocalLLaMA/comments/18xb6zu/fast_and_good_enough_3b_models_for_cpu_inference/ | false | false | self | 1 | null |
Philip K. Dick would be impressed | 1 | 2024-01-03T05:07:43 | jacek2023 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18xb5o1 | false | null | t3_18xb5o1 | /r/LocalLLaMA/comments/18xb5o1/philip_k_dick_would_be_impressed/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'YUjEzeo8rRZSPFpJwf7DAifnB8NevndnvfRHy2tQxN8', 'resolutions': [{'height': 65, 'url': 'https://preview.redd.it/t878p4ycr5ac1.png?width=108&crop=smart&auto=webp&s=1a066a7e4cd07e5438483cd875af6cadad3a6e19', 'width': 108}, {'height': 130, 'url': 'https://preview.redd.it/t878p4ycr5ac1.png... | |||
Self-Play Fine-Tuning that improves LLMs | 1 | This new paper just came out today that looks really promising for the open-source community. Self-play fine-tuning that can significantly improve benchmark scores (and hopefully overall model performance). I'd really like to see this combined with self-merging, to make, say, a 14b Mistral variant (same weights duplica... | 2024-01-03T04:55:37 | https://www.reddit.com/r/LocalLLaMA/comments/18xax9k/selfplay_finetuning_that_improves_llms/ | jd_3d | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xax9k | false | null | t3_18xax9k | /r/LocalLLaMA/comments/18xax9k/selfplay_finetuning_that_improves_llms/ | false | false | 1 | {'enabled': False, 'images': [{'id': '4hQtrWQOEEY3KZ5f4VFRmvtrdbErT2Sk1iT1jVQaIJ4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/vJt9ZsXTd7MNCprCdbnJBaltLpU7JKbLATnE0TcSfcM.jpg?width=108&crop=smart&auto=webp&s=4874b9d19580dc7a832c0979602d0cf71ead60e0', 'width': 108}, {'height': 116, 'url': 'h... | |
Home LLM. Why? | 1 | Context is that I’m very new too this space and have some questions. Apologies if this is super noobie of me.
1. why host your own LLM. Is it a privacy concern or something else?
2. Do people load multiple LLMs on top of each other or just choose one?
3. how do you know which one to choose and why it’s best?
4. When... | 2024-01-03T04:48:12 | https://www.reddit.com/r/LocalLLaMA/comments/18xasd4/home_llm_why/ | Fluffy_Ad7392 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xasd4 | false | null | t3_18xasd4 | /r/LocalLLaMA/comments/18xasd4/home_llm_why/ | false | false | self | 1 | null |
Is there any advantage to building base/foundation models? | 1 | I see news and articles of base models being made for some local languages, or for certain niche domains, and the makers of said models are praised for doing so. Now, are those base models that were by definition created on a dataset of much smaller size than, say, the base model of chatGPT was created with. So my ques... | 2024-01-03T04:30:07 | https://www.reddit.com/r/LocalLLaMA/comments/18xafsr/is_there_any_advantage_to_building_basefoundation/ | ResearcherNo4728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xafsr | false | null | t3_18xafsr | /r/LocalLLaMA/comments/18xafsr/is_there_any_advantage_to_building_basefoundation/ | false | false | self | 1 | null |
Is TRL the most popular fine-tuning repo? | 1 | As title say, I am trying to stick to one fine-tuning repo, looks like the one open-source by hugginface seem to be pretty good. I am looking for other recommendation as well, thanks! | 2024-01-03T04:28:32 | https://www.reddit.com/r/LocalLLaMA/comments/18xaepa/is_trl_the_most_popular_finetuning_repo/ | Dense-Smf-6032 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xaepa | false | null | t3_18xaepa | /r/LocalLLaMA/comments/18xaepa/is_trl_the_most_popular_finetuning_repo/ | false | false | self | 1 | null |
Deploying a LLM model for high concurrency | 1 | Hi,
To begin with, I haven't found an answer to this problem in previous posts (I hope I looked hard enough, otherwise I apologize).
I want to deploy a LLM via vLLM ([https://github.com/vllm-project/vllm](https://github.com/vllm-project/vllm)) in order to be able to respond to a "high" request concurrency. Due to the... | 2024-01-03T04:24:18 | https://www.reddit.com/r/LocalLLaMA/comments/18xabnv/deploying_a_llm_model_for_high_concurrency/ | Far-Pangolin-4096 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xabnv | false | null | t3_18xabnv | /r/LocalLLaMA/comments/18xabnv/deploying_a_llm_model_for_high_concurrency/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '0Lt256p-mqRs3s-w_4aUbfSqwcT4guz_9tlkZ7vb-ZY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/QrAf46jk8qjJc9KmjsCoUAo71DzCzURojoYmVMEp4S4.jpg?width=108&crop=smart&auto=webp&s=3c019eb9e27808a489433512ea52ee6462215fa1', 'width': 108}, {'height': 108, 'url': 'h... |
How do I learn more about LLMs? | 1 | Hi, so short story I don't really know much about LLMs. I've made a few posts here and I've managed to get SillyTavern running with oobabooga, automatic1111, tts and image captioning so it all works pretty well, I'm even using ngrok to get the port to open under a domain so that I can use it anywhere in the world (I tr... | 2024-01-03T04:17:05 | https://www.reddit.com/r/LocalLLaMA/comments/18xa6jf/how_do_i_learn_more_about_llms/ | OvercookedSatellite | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xa6jf | false | null | t3_18xa6jf | /r/LocalLLaMA/comments/18xa6jf/how_do_i_learn_more_about_llms/ | false | false | self | 1 | null |
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication | 1 | **Paper**: [https://arxiv.org/abs/2311.10207](https://arxiv.org/abs/2311.10207)
**Code**: [https://github.com/joennlae/halutmatmul](https://github.com/joennlae/halutmatmul)
**Abstract**:
>From classical HPC to deep learning, MatMul is at the heart of today's computing. The recent Maddness method approximates MatM... | 2024-01-03T04:15:19 | https://www.reddit.com/r/LocalLLaMA/comments/18xa5ab/stella_nera_achieving_161_topsw_with/ | APaperADay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18xa5ab | false | null | t3_18xa5ab | /r/LocalLLaMA/comments/18xa5ab/stella_nera_achieving_161_topsw_with/ | false | false | self | 1 | null |
LLMS | 1 | [removed] | 2024-01-03T03:57:56 | https://www.reddit.com/r/LocalLLaMA/comments/18x9sft/llms/ | nks_saini | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x9sft | false | null | t3_18x9sft | /r/LocalLLaMA/comments/18x9sft/llms/ | false | false | self | 1 | null |
Mistral context being lost every question | 1 | Apologize in advance if this has been answered but I cannot find the answer
I'm using LM Studio + latest version of Mistral
Is there some configuration where the LLM responds in the chat with context given my previous questions? It seems like every question I ask it starts over and doesn't build on my previous quest... | 2024-01-03T03:19:31 | https://www.reddit.com/r/LocalLLaMA/comments/18x90rb/mistral_context_being_lost_every_question/ | djbready | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x90rb | false | null | t3_18x90rb | /r/LocalLLaMA/comments/18x90rb/mistral_context_being_lost_every_question/ | false | false | self | 1 | null |
Introducing the Blossom Model - Optimized for Multi-Turn Chat | 1 | Hello everyone!
This model is specifically optimized for multi-turn chatting and has been trained on derivatives of datasets such as OpenOrca, Wizard, ShareGPT, GSM8K, and Math23K. The primary goal of this project is to build an open chat model that handles Chinese as proficiently as English. To achieve this, I didn't... | 2024-01-03T02:56:47 | https://www.reddit.com/r/LocalLLaMA/comments/18x8jhs/introducing_the_blossom_model_optimized_for/ | Witty-Sheepherder928 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x8jhs | false | null | t3_18x8jhs | /r/LocalLLaMA/comments/18x8jhs/introducing_the_blossom_model_optimized_for/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'MW98rQEwt7HFFjwUAtc2rDIV6kkSoda8vZ_EKOas1ak', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/Ah4sxdJZ9IxPRLA0ZewV3RFQplU8OYT0TMxzGq55HaA.jpg?width=108&crop=smart&auto=webp&s=e5dd65175c29436c2c0aa307a21c07f21b1ea32d', 'width': 108}, {'height': 116, 'url': 'h... |
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning | 1 | [https://arxiv.org/abs/2401.01325](https://arxiv.org/abs/2401.01325)
With only four lines of code modification, the proposed method can effortlessly extend existing LLMs’ context window without any fine-tuning.
This work elicits LLMs' inherent ability to handle long contexts without fine-tuning. The limite... | 2024-01-03T02:52:10 | https://www.reddit.com/r/LocalLLaMA/comments/18x8g6c/llm_maybe_longlm_selfextend_llm_context_window/ | metalman123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x8g6c | false | null | t3_18x8g6c | /r/LocalLLaMA/comments/18x8g6c/llm_maybe_longlm_selfextend_llm_context_window/ | false | false | 1 | null | |
Running LLMs on mobile phones? | 1 | [removed] | 2024-01-03T02:50:37 | https://www.reddit.com/r/LocalLLaMA/comments/18x8f1d/running_llms_on_mobile_phones/ | yungfishstick | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x8f1d | false | null | t3_18x8f1d | /r/LocalLLaMA/comments/18x8f1d/running_llms_on_mobile_phones/ | false | false | self | 1 | null |
Sparse MoE architecture improvement idea: variable expert selection | 1 | Just had a really interesting realization about what MoE architecturally *does* to a LLM that could be a part of the clue as to why it helps a model learn better, at least in the case of Mixtral vs the inferior Llama 70b, and how it could be improved further.
For those unaware, when a token is being calculated in a LL... | 2024-01-03T02:42:00 | https://www.reddit.com/r/LocalLLaMA/comments/18x88qr/sparse_moe_architecture_improvement_idea_variable/ | kindacognizant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x88qr | false | null | t3_18x88qr | /r/LocalLLaMA/comments/18x88qr/sparse_moe_architecture_improvement_idea_variable/ | false | false | 1 | null | |
Evaluation Loss Not Appearing? | 1 | [removed] | 2024-01-03T02:22:05 | https://www.reddit.com/r/LocalLLaMA/comments/18x7tpp/evaluation_loss_not_appearing/ | Known-South5279 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x7tpp | false | null | t3_18x7tpp | /r/LocalLLaMA/comments/18x7tpp/evaluation_loss_not_appearing/ | false | false | 1 | null | |
Is there a front end like ollama-webui, or something else, that can easily connect to Bard? | 1 | [removed] | 2024-01-03T02:04:25 | https://www.reddit.com/r/LocalLLaMA/comments/18x7fnv/is_there_a_front_end_like_ollamawebui_or/ | CincyTriGuy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x7fnv | false | null | t3_18x7fnv | /r/LocalLLaMA/comments/18x7fnv/is_there_a_front_end_like_ollamawebui_or/ | false | false | self | 1 | null |
Microsoft guidance not working in foreign language | 1 | Hi everyone,
​
I'm currently doing a project using Microsoft guidance and a local model.
I want to generate some chain of thought about a given text, and finally make the model to choose the category the input text belonged to.
The general flow should look like:
input text -> generate chain of thought -> de... | 2024-01-03T01:30:27 | https://www.reddit.com/r/LocalLLaMA/comments/18x6owo/microsoft_guidance_not_working_in_foreign_language/ | manjimin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x6owo | false | null | t3_18x6owo | /r/LocalLLaMA/comments/18x6owo/microsoft_guidance_not_working_in_foreign_language/ | false | false | self | 1 | null |
Multi-character chat templates? | 1 | I know it's a bit of a mess right now with standardization around LLM chat templates. OpenAI has pulled back from documenting and maintaining the ChatML standard. There seems to be a ton of fiddliness with Llama-2 chat templates. HuggingFace seems to be trying to fill the void [\[1\]](https://huggingface.co/docs/transf... | 2024-01-03T01:22:21 | https://www.reddit.com/r/LocalLLaMA/comments/18x6ifg/multicharacter_chat_templates/ | CodeGriot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x6ifg | false | null | t3_18x6ifg | /r/LocalLLaMA/comments/18x6ifg/multicharacter_chat_templates/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'jfeVG47nZdEkz9kXfW1CcS-Sy8l4DXGb9JErx6bLKfU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/IfMbJOxNUMUzsY1dCStb5zfgtucewbklqG7kssYhOLc.jpg?width=108&crop=smart&auto=webp&s=6c2099a4a9a69e9793ac03aec2e167bf75ab3eae', 'width': 108}, {'height': 116, 'url': 'h... |
LLMs opinion on the recent open-source vs GPT-4 tweet. Immediate counterarguments. Not saying LLMs opinions are 100% correct, but still pretty funny. | 1 | Tweet: [https://twitter.com/arnaudai/status/1741833299906175254](https://twitter.com/arnaudai/status/1741833299906175254)
Since the tweet created a pretty interesting discussion thread on this subreddit recently([www.reddit.com/r/LocalLLaMA/comments/18wasf8/if\_you\_think\_opensource\_models\_will\_beat\_gpt4/](https:... | 2024-01-03T01:05:41 | https://www.reddit.com/r/LocalLLaMA/comments/18x65bl/llms_opinion_on_the_recent_opensource_vs_gpt4/ | bot-333 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x65bl | false | null | t3_18x65bl | /r/LocalLLaMA/comments/18x65bl/llms_opinion_on_the_recent_opensource_vs_gpt4/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '44pBcMgE4Y86TBaAXldDfzEjE06-VM37rA03YWgCw-8', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/wlp-vyTKLOTgJ0C_44il4E2hwtcLFA8W20Lg5NANeE0.jpg?width=108&crop=smart&auto=webp&s=cef6fff434e4cdf09ed2307c8cfd9a3531a7e4ff', 'width': 108}], 'source': {'height': 14... |
DPO training strategy | 1 | When building a dataset for DPO training, should you try and build negative examples that are similar the positive examples, but with a small but important difference? Or should you set the negative example as something wildly different from the positive example?
For example, should you do this:
Prompt: What is the c... | 2024-01-03T00:29:24 | https://www.reddit.com/r/LocalLLaMA/comments/18x5bf9/dpo_training_strategy/ | SirStagMcprotein | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x5bf9 | false | null | t3_18x5bf9 | /r/LocalLLaMA/comments/18x5bf9/dpo_training_strategy/ | false | false | self | 1 | null |
Share your ways of making better characters | 1 | I mainly use ai for chatting with characters and developing roleplays. what are your best tips or guides? | 2024-01-03T00:03:26 | https://www.reddit.com/r/LocalLLaMA/comments/18x4pfj/share_your_ways_of_making_better_characters/ | so_schmuck | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x4pfj | false | null | t3_18x4pfj | /r/LocalLLaMA/comments/18x4pfj/share_your_ways_of_making_better_characters/ | false | false | self | 1 | null |
A6000 or RTX 3090? | 1 | Hello girls and boys!
I can get a6000 or rtx 3090 for the same price, which would you like to choose and why? Maybe You have any other proposes?
Budget 1k USD.
In future probably I will buy second one and next question would be about splitting models between two cards - can I do it by mixing a6000 and rtx?
Thanks... | 2024-01-02T23:18:48 | https://www.reddit.com/r/LocalLLaMA/comments/18x3mza/a6000_or_rtx_3090/ | StockRepeat7508 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x3mza | false | null | t3_18x3mza | /r/LocalLLaMA/comments/18x3mza/a6000_or_rtx_3090/ | false | false | self | 1 | null |
RAG over Knowledge Graphs | 1 | Anyone here have success with RAG applications which leverage knowledge graphs rather than (or alongside) traditional vector databases? For reference, I’m working on building reusable RAG pipelines in which custom data sources can be easily swapped out. I’ve had moderate success with traditional embedding-based search ... | 2024-01-02T23:18:35 | https://www.reddit.com/r/LocalLLaMA/comments/18x3ms3/rag_over_knowledge_graphs/ | rikiiyer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x3ms3 | false | null | t3_18x3ms3 | /r/LocalLLaMA/comments/18x3ms3/rag_over_knowledge_graphs/ | false | false | self | 1 | null |
LLM to help you write Text2Image prompts? | 1 | Hi,
is there such a thing? I struggle with text2image. I found some example images and their prompts online, it all looks like a codified way talk to the model.
Are there LLMs that are trained for that? The ones I tried just spit out sentences which seems to not be the optimal way to talk to Stable Diffusion. | 2024-01-02T22:49:52 | https://www.reddit.com/r/LocalLLaMA/comments/18x2y1e/llm_to_help_you_write_text2image_prompts/ | TahPenguin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x2y1e | false | null | t3_18x2y1e | /r/LocalLLaMA/comments/18x2y1e/llm_to_help_you_write_text2image_prompts/ | false | false | self | 1 | null |
gpt-fast now supports Mixtral. | 1 | 2024-01-02T22:47:44 | https://x.com/soumithchintala/status/1742295582264238360?t=IWq_xa7Fi2JhbKXImzEysg&s=34 | ninjasaid13 | x.com | 1970-01-01T00:00:00 | 0 | {} | 18x2wa0 | false | null | t3_18x2wa0 | /r/LocalLLaMA/comments/18x2wa0/gptfast_now_supports_mixtral/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'W6jTZIvW993dWQaiNQ4CPpRExYA5UpLaduBCLMulPD8', 'resolutions': [{'height': 33, 'url': 'https://external-preview.redd.it/braKeCdUEgZSor9yzKjxLbucFyDj_IQSg3zEjZTjujM.jpg?width=108&crop=smart&auto=webp&s=3270bb7b3ee88de02c0f988bf47686f039f0616a', 'width': 108}, {'height': 67, 'url': 'ht... | ||
How (or why) does model merging work? | 1 | Given the impressive performance of some of the recent frankenmerges, I'm beginning to wonder why model merging would work in the first place from a theoretical standpoint.
Why does selecting and interweaving some of the decoder midblocks (goliath/solar, for example) work for model merging, and why would this approac... | 2024-01-02T22:47:15 | https://www.reddit.com/r/LocalLLaMA/comments/18x2vuj/how_or_why_does_model_merging_work/ | Existing-Profile- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x2vuj | false | null | t3_18x2vuj | /r/LocalLLaMA/comments/18x2vuj/how_or_why_does_model_merging_work/ | false | false | self | 1 | null |
Deploying LLM app on cloud | 1 | Hello, I just finished a project in which i have used the Mistral 7B model, and now I'm diving into deploying my app for the first time. I'm a bit lost on how to figure out the costs for deploying the app on services like AWS or Azure. Also, how can i know which GPU to use for Mistral and what other stuff I need to ma... | 2024-01-02T22:19:31 | https://www.reddit.com/r/LocalLLaMA/comments/18x27e8/deploying_llm_app_on_cloud/ | AB3NZ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x27e8 | false | null | t3_18x27e8 | /r/LocalLLaMA/comments/18x27e8/deploying_llm_app_on_cloud/ | false | false | self | 1 | null |
Is there a way i can train pretrained LLMs without prompt using any other libraries. | 1 | [removed] | 2024-01-02T22:05:40 | https://www.reddit.com/r/LocalLLaMA/comments/18x1uqx/is_there_a_way_i_can_train_pretrained_llms/ | DearAd1074 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x1uqx | false | null | t3_18x1uqx | /r/LocalLLaMA/comments/18x1uqx/is_there_a_way_i_can_train_pretrained_llms/ | false | false | self | 1 | null |
How to set max_new_tokens above 4096 in oobabooga? | 1 | Slider max is at 4096 but I want a longer response from the AI | 2024-01-02T21:54:05 | https://www.reddit.com/r/LocalLLaMA/comments/18x1jv2/how_to_set_max_new_tokens_above_4096_in_oobabooga/ | GravyPoo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x1jv2 | false | null | t3_18x1jv2 | /r/LocalLLaMA/comments/18x1jv2/how_to_set_max_new_tokens_above_4096_in_oobabooga/ | false | false | self | 1 | null |
am i dumb? why is it censored? | 1 | [removed] | 2024-01-02T21:53:24 | https://www.reddit.com/r/LocalLLaMA/comments/18x1j8n/am_i_dumb_why_is_it_censored/ | xHomerly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x1j8n | false | null | t3_18x1j8n | /r/LocalLLaMA/comments/18x1j8n/am_i_dumb_why_is_it_censored/ | false | false | 1 | null | |
How to enable llama.cpp API and connect it to SillyTavern? | 4 | Sorry if this is a noob question, I never used llama.cpp directly before but I saw some people saying it's much faster when used directly compared to when used inside Oobabooga Text Gen. Problem is I don't understand how to enable the API server for this.
Can someone please explain how to enable API for llama.cpp and ... | 2024-01-02T21:04:58 | https://www.reddit.com/r/LocalLLaMA/comments/18x0b4v/how_to_enable_llamacpp_api_and_connect_it_to/ | VongolaJuudaimeHime | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x0b4v | false | null | t3_18x0b4v | /r/LocalLLaMA/comments/18x0b4v/how_to_enable_llamacpp_api_and_connect_it_to/ | false | false | self | 4 | null |
New to LLM's, currently tryin Mistral Instruct on LLM Studio but it's not following instructions | 1 | Hi all, using Mistral Instruct and some even smaller LLM's. I was hoping to make the LLM be a moderator for flagged user messages and only respond back with True or False for negative connotations. For some reason though, it does not follow through and will provide unnecessary context. I also gave it a list of words bu... | 2024-01-02T21:03:28 | https://www.reddit.com/r/LocalLLaMA/comments/18x09ua/new_to_llms_currently_tryin_mistral_instruct_on/ | Careful-Trifle4230 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18x09ua | false | null | t3_18x09ua | /r/LocalLLaMA/comments/18x09ua/new_to_llms_currently_tryin_mistral_instruct_on/ | false | false | self | 1 | null |
Building a chatbot to act as a salesperson | 1 | Hi guys, I'm trying to develop a chatbot to handle a company's customer service. I've tested some solutions like Chatbase and Chatthing, but they're a bit expensive, and the parameterization doesn't work properly (it's not assertive, and I can't get it to have a tendency to make the sale, induce the consumer to do so).... | 2024-01-02T20:52:18 | https://www.reddit.com/r/LocalLLaMA/comments/18wzzqz/building_a_chatbot_to_act_as_a_salesperson/ | drimpe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wzzqz | false | null | t3_18wzzqz | /r/LocalLLaMA/comments/18wzzqz/building_a_chatbot_to_act_as_a_salesperson/ | false | false | self | 1 | null |
Which frontend would you recommend that lets me use both local and GPT-4, make agents, and make them converse ? | 1 | The only frontends I know of are oobabooga (it's gradio so I refuse to it) and LM Studio (insanely broken all the time) and also I'd like to use GPT-4 sometimes. I need a strong management of system prompts as agents and conversations organized by agent. I would like to make the agents talk to one another as well so I ... | 2024-01-02T20:37:45 | https://www.reddit.com/r/LocalLLaMA/comments/18wzml1/which_frontend_would_you_recommend_that_lets_me/ | o_snake-monster_o_o_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wzml1 | false | null | t3_18wzml1 | /r/LocalLLaMA/comments/18wzml1/which_frontend_would_you_recommend_that_lets_me/ | false | false | self | 1 | null |
txtai 6.3 released: Adds new LLM inference methods, API Authorization and RAG improvements | 1 | 2024-01-02T20:27:05 | https://github.com/neuml/txtai | davidmezzetti | github.com | 1970-01-01T00:00:00 | 0 | {} | 18wzd2t | false | null | t3_18wzd2t | /r/LocalLLaMA/comments/18wzd2t/txtai_63_released_adds_new_llm_inference_methods/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'yGKZrozFSrxZ0GNIkYzBAA-oiN8XXsSqY2UCG70-iIQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/3YUWfMShRqBFpIZSqhV_lhLNmjlzewmtrNDGDU3Q81w.jpg?width=108&crop=smart&auto=webp&s=a45d34c509784843115a731230b0416de3bae7b8', 'width': 108}, {'height': 108, 'url': 'h... | ||
Best uncensored multimodal / vision model? | 1 | Looking for something small, 33B or less | 2024-01-02T19:49:49 | https://www.reddit.com/r/LocalLLaMA/comments/18wyevu/best_uncensored_multimodal_vision_model/ | yupignome | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wyevu | false | null | t3_18wyevu | /r/LocalLLaMA/comments/18wyevu/best_uncensored_multimodal_vision_model/ | false | false | self | 1 | null |
Best uncensored 30-70B parameter model for chatting/RP | 6 | What is the the best uncensored 30-70B parameter model for chatting/RP? | 2024-01-02T19:22:59 | https://www.reddit.com/r/LocalLLaMA/comments/18wxqvb/best_uncensored_3070b_parameter_model_for/ | ll_Teto_ll | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wxqvb | false | null | t3_18wxqvb | /r/LocalLLaMA/comments/18wxqvb/best_uncensored_3070b_parameter_model_for/ | false | false | default | 6 | null |
Question about data privacy | 1 | Hi all,
We have built an app that is mostly targeting B2B for their knowledge management on top of an open source model.
It uses llamacpp, and tensorflow models for semantic search with a vector database for RAG.
Trying to figure out the best way to provide real data privacy for the businesses.
OPTION 1: Letting the... | 2024-01-02T19:20:14 | https://www.reddit.com/r/LocalLLaMA/comments/18wxob8/question_about_data_privacy/ | kucukkanat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wxob8 | false | null | t3_18wxob8 | /r/LocalLLaMA/comments/18wxob8/question_about_data_privacy/ | false | false | self | 1 | null |
Why no (nous-)capybara-13b model? | 1 | [removed] | 2024-01-02T18:19:49 | https://www.reddit.com/r/LocalLLaMA/comments/18ww5qy/why_no_nouscapybara13b_model/ | redzorino | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18ww5qy | false | null | t3_18ww5qy | /r/LocalLLaMA/comments/18ww5qy/why_no_nouscapybara13b_model/ | false | false | self | 1 | null |
I want to learn the basics and how to setup LLM's locally | 10 | Hello,
I want to get into fine tuning and implementing RAG's with different models.
However I'm kinda new to this and already played with some models and also set up a few web ui's etc.
However i would like to learn the basics and not just download a model, throw in a web ui and pray it all runs.
1. I want to l... | 2024-01-02T18:13:59 | https://www.reddit.com/r/LocalLLaMA/comments/18ww0q5/i_want_to_learn_the_basics_and_how_to_setup_llms/ | Entire-Top3434 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18ww0q5 | false | null | t3_18ww0q5 | /r/LocalLLaMA/comments/18ww0q5/i_want_to_learn_the_basics_and_how_to_setup_llms/ | false | false | self | 10 | null |
WhiteRabbitNeo - AI for Cybersecurity | 1 | [removed] | 2024-01-02T18:13:49 | https://www.reddit.com/r/LocalLLaMA/comments/18ww0l7/whiterabbitneo_ai_for_cybersecurity/ | migtissera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18ww0l7 | false | null | t3_18ww0l7 | /r/LocalLLaMA/comments/18ww0l7/whiterabbitneo_ai_for_cybersecurity/ | false | false | 1 | null | |
Is there a formula for exllama vram usage? | 1 | These are the only data points I have.
|Parameters|BPW|VRAM|Context|
|:-|:-|:-|:-|
|34B|3|16.5 GB|8192|
|34B|4|21.2 GB|8192|
|34B|4.65|23.4 GB|8192|
|34B|5|24.8 GB|8192|
It literally took me 4 trial and error downloads to now know I should use 4.65bpw for fast inference in 24gb, or 5bpw for slower vram and shared gpu... | 2024-01-02T18:06:53 | https://www.reddit.com/r/LocalLLaMA/comments/18wvuew/is_there_a_formula_for_exllama_vram_usage/ | JawGBoi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wvuew | false | null | t3_18wvuew | /r/LocalLLaMA/comments/18wvuew/is_there_a_formula_for_exllama_vram_usage/ | false | false | self | 1 | null |
LLama2 on multiple pdf q-a? | 1 | Hi !
Does anyone know a good success story of using llama2 or similar to extract information from one or more PDF documents?
Thanks in advance | 2024-01-02T18:05:50 | https://www.reddit.com/r/LocalLLaMA/comments/18wvtei/llama2_on_multiple_pdf_qa/ | celsowm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wvtei | false | null | t3_18wvtei | /r/LocalLLaMA/comments/18wvtei/llama2_on_multiple_pdf_qa/ | false | false | self | 1 | null |
Create a frankenmerge in 40 lines of code | 1 | With the knowledge that some models can be improved by simply duplicating some layers, and inspired by [this post](https://www.reddit.com/r/LocalLLaMA/comments/18uybsm/are_we_missing_an_obvious_way_to_boost_inference/), I looked at the source code of mergekit and set out to implement layer reuse during inference myself... | 2024-01-02T17:53:09 | https://www.reddit.com/r/LocalLLaMA/comments/18wvhgt/create_a_frankenmerge_in_40_lines_of_code/ | Silphendio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wvhgt | false | null | t3_18wvhgt | /r/LocalLLaMA/comments/18wvhgt/create_a_frankenmerge_in_40_lines_of_code/ | false | false | self | 1 | null |
WhiteRabbitNeo - AI for offensive and defensive cybersecurity | 1 | [removed] | 2024-01-02T17:30:24 | https://www.reddit.com/r/LocalLLaMA/comments/18wuwq3/whiterabbitneo_ai_for_offensive_and_defensive/ | migtissera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wuwq3 | false | null | t3_18wuwq3 | /r/LocalLLaMA/comments/18wuwq3/whiterabbitneo_ai_for_offensive_and_defensive/ | false | false | 1 | null | |
Will finetuning on code interfere with the chat format? | 1 | I want to finetune a model like Llama2-chat on a programming language. My first idea would be to finetune on the source code of that language. Would this interefere with the chat format of the model? In other words, do I need to format the source code as a "chat" somehow in order to use it as finetuning training data? | 2024-01-02T16:45:17 | https://www.reddit.com/r/LocalLLaMA/comments/18wtske/will_finetuning_on_code_interfere_with_the_chat/ | mdnest_r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wtske | false | null | t3_18wtske | /r/LocalLLaMA/comments/18wtske/will_finetuning_on_code_interfere_with_the_chat/ | false | false | self | 1 | null |
What is your best technical guess for what Q* (pronounced Q-Star) is? It was reported by Reuters only 40 days ago? Do you think it will be significant this year? | 1 | [removed] | 2024-01-02T16:43:57 | https://www.reddit.com/r/LocalLLaMA/comments/18wtrfy/what_is_your_best_technical_guess_for_what_q/ | TysonUsykFury | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wtrfy | false | null | t3_18wtrfy | /r/LocalLLaMA/comments/18wtrfy/what_is_your_best_technical_guess_for_what_q/ | false | false | self | 1 | null |
LlamaTale - New years update (v0.20.0) | 70 | Hey. It's been a while, so I thought I'd give an update on the progress since last time (some 4 months ago?). I'll just give you the hightlights, for more info, check [releases](https://github.com/neph1/LlamaTale/releases)
* Most recently, ChatGPT and I have been working on [improving the user experience](https://gith... | 2024-01-02T15:50:56 | https://www.reddit.com/r/LocalLLaMA/comments/18wsi98/llamatale_new_years_update_v0200/ | neph1010 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wsi98 | false | null | t3_18wsi98 | /r/LocalLLaMA/comments/18wsi98/llamatale_new_years_update_v0200/ | false | false | 70 | {'enabled': False, 'images': [{'id': '7Ba-sh-M2dDrDaibZAIHNEyjYSoWQ2Yt9M-40QU4lYQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/zMxys9IwogFBwEwv7KfxqyTLbUrNJzUAqvLi3EzvLdQ.jpg?width=108&crop=smart&auto=webp&s=9083860062893ba43de9274525d0384d8a8e0dac', 'width': 108}, {'height': 108, 'url': 'h... | |
Seek advice for local API scalable to 500-1000 users. | 1 | Hello Everyone, and first of all, Happy New Year to all!
I am reaching out for your advice on a project I'm planning. My goal is to create a Large Language Model (LLM) API capable of handling requests from 500-1000 users, operating at about 75% of its maximum capacity. I intend to run this on a single GPU and am cons... | 2024-01-02T15:29:40 | https://www.reddit.com/r/LocalLLaMA/comments/18ws0ny/seek_advice_for_local_api_scalable_to_5001000/ | GregLeSang | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18ws0ny | false | null | t3_18ws0ny | /r/LocalLLaMA/comments/18ws0ny/seek_advice_for_local_api_scalable_to_5001000/ | false | false | self | 1 | null |
Anyone tried quantized models on Jetson Nano 4GB? | 1 | [removed] | 2024-01-02T14:58:14 | https://www.reddit.com/r/LocalLLaMA/comments/18wrbgt/anyone_tried_quantized_models_on_jetson_nano_4gb/ | bangarangguy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wrbgt | false | null | t3_18wrbgt | /r/LocalLLaMA/comments/18wrbgt/anyone_tried_quantized_models_on_jetson_nano_4gb/ | false | false | self | 1 | null |
mlx llm | 1 | Found currently running HF format llama models via MLX is a bit tricky. Just create a repository to help convert HF format llama models and inferencing. It's not perfect yet, but it kind of works for common llama-like models.
[https://github.com/mzbac/mlx-llm](https://github.com/mzbac/mlx-llm)
​ | 2024-01-02T14:55:07 | https://www.reddit.com/r/LocalLLaMA/comments/18wr91u/mlx_llm/ | mzbacd | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wr91u | false | null | t3_18wr91u | /r/LocalLLaMA/comments/18wr91u/mlx_llm/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '43Gotj2dZ5e_CtWhreTrGjSz5tFYEsllGcnDkEOBH-Y', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jnNhUnBafdcpx92-YigqjjbIYrW8eK6LHlDAfxn1JiA.jpg?width=108&crop=smart&auto=webp&s=d841ec8a6dc9b4be219ca83c7c4f441a02f28d04', 'width': 108}, {'height': 108, 'url': 'h... |
Clipboard Conqueror now supports multi-agent and multi-backend interaction chains with some debugging even. I need some testing and feedback. | 1 | I just plowed it in there and haven't messed with it other than getting it pretty working. I could use some feedback on the project and confirmation on what it works to point it at.
[aseichter2007/ClipboardConqueror: Clipboard conqueror is a novel omnipresent copilot alternative designed to bring your very own LL... | 2024-01-02T14:47:24 | https://www.reddit.com/r/LocalLLaMA/comments/18wr33h/clipboard_conqueror_now_supports_multiagent_and/ | aseichter2007 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wr33h | false | null | t3_18wr33h | /r/LocalLLaMA/comments/18wr33h/clipboard_conqueror_now_supports_multiagent_and/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'gn85iSDn83tw6wx7jxeWi3Wce6GMvy-Geczg1qA4EKQ', 'resolutions': [{'height': 33, 'url': 'https://external-preview.redd.it/pvyQwlLtR012wu7agcl3C8T6tgUe_tMYBGnXykjRn68.jpg?width=108&crop=smart&auto=webp&s=13c43de44c4501c4a0e011cb6dcf46194057250c', 'width': 108}, {'height': 67, 'url': 'ht... |
vLLM on Windows PC | 1 | [removed] | 2024-01-02T14:40:27 | https://github.com/aneeshjoy/vllm-windows | a4ai | github.com | 1970-01-01T00:00:00 | 0 | {} | 18wqxkl | false | null | t3_18wqxkl | /r/LocalLLaMA/comments/18wqxkl/vllm_on_windows_pc/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'FsJYyfl4eD44aVKUW5di9PuVFcQCMcMe_XoXVmXhPNo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/_m-S0oBFsjdKcKPgwD4xAS6xzkygCqWuwm9KB4v6GG8.jpg?width=108&crop=smart&auto=webp&s=794bbcca4f83011545bd89fa399f9a10be38463a', 'width': 108}, {'height': 108, 'url': 'h... | |
Is nobody making Qwen-72B finetunes? | 1 | Ever since [Qwen 72B](https://huggingface.co/Qwen/Qwen-72B) was released, there's only been a single tune on hf: CausalLM's finetune.
I thought there would be at least one more, or at least some qlora available, but no, there's only the one.
That's strange, it looks like a free bilingual llama-3 with 32k.
Are there ... | 2024-01-02T14:31:00 | https://www.reddit.com/r/LocalLLaMA/comments/18wqqek/is_nobody_making_qwen72b_finetunes/ | Aaaaaaaaaeeeee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wqqek | false | null | t3_18wqqek | /r/LocalLLaMA/comments/18wqqek/is_nobody_making_qwen72b_finetunes/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'DjQDKVca7jshegyjol7yRGCNFC94ki2c8ClGhXhbrvA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/4ZzXBGlLP_rXnSwrYT7AL4WIc5iE8INqs7mEBVGsIyk.jpg?width=108&crop=smart&auto=webp&s=96bcb6037d85a8f924ba7ffc294c5b0429445137', 'width': 108}, {'height': 116, 'url': 'h... |
vLLM on Windows PC | 1 | [removed] | 2024-01-02T14:11:32 | https://github.com/aneeshjoy/vllm-windows | AstrionX | github.com | 1970-01-01T00:00:00 | 0 | {} | 18wqblt | false | null | t3_18wqblt | /r/LocalLLaMA/comments/18wqblt/vllm_on_windows_pc/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'FsJYyfl4eD44aVKUW5di9PuVFcQCMcMe_XoXVmXhPNo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/_m-S0oBFsjdKcKPgwD4xAS6xzkygCqWuwm9KB4v6GG8.jpg?width=108&crop=smart&auto=webp&s=794bbcca4f83011545bd89fa399f9a10be38463a', 'width': 108}, {'height': 108, 'url': 'h... | |
What's the best & fastest way to do context analysis? | 2 | I am working on a company AI that sometimes requires features capable of analyzing a given query for specific contexts, such as "is this query asking to call the CEO."
Currently, I achieve this by using GPT-3.5, which provides a yes/no answer. This method has proven to be 95% accurate, which is good, but in a company... | 2024-01-02T14:04:56 | https://www.reddit.com/r/LocalLLaMA/comments/18wq6k3/whats_the_best_fastest_way_to_do_context_analysis/ | freecodeio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wq6k3 | false | null | t3_18wq6k3 | /r/LocalLLaMA/comments/18wq6k3/whats_the_best_fastest_way_to_do_context_analysis/ | false | false | self | 2 | null |
Has anyone tried yayi-30b already? | 1 | Has anyone tried yayi-30b already?
There is one fine tune I know of, downloading it. A few days ago there was also a llamafied release of the base model. Curious to see new fine tunes on it.
​
[https://huggingface.co/mzbac/yayi2-30b-guanaco-gguf](https://huggingface.co/mzbac/yayi2-30b-guanaco-gguf) | 2024-01-02T13:59:25 | https://www.reddit.com/r/LocalLLaMA/comments/18wq20s/has_anyone_tried_yayi30b_already/ | MLTyrunt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wq20s | false | null | t3_18wq20s | /r/LocalLLaMA/comments/18wq20s/has_anyone_tried_yayi30b_already/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'NBL1lEVtCLhSWs2YDjnU-h1a_1S37xzP1QtOGTUYv98', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/N0VoPi-wYma0LYQWV0qGDL93ko19O1mkuBKyjAC5C7Y.jpg?width=108&crop=smart&auto=webp&s=31db5fce9fcee5d7c821a8382016cbec8ab9e50e', 'width': 108}, {'height': 116, 'url': 'h... |
Why is Mixtral so slow on a Ryzen 3900 12 core/24 thread? Do I need a powerful GPU? | 1 | I've run Mixtral 4Q and 3Q on a good CPU (can't use my GPU as it's old).
Why are the results so awful? 2.5 minutes just to generate first token?
**Are there any config options I am doing incorrectly? Should I buy a powerful Tesla v100 or got any recommendations?**
[Results on Dolphine 2.5 Mixtral - Q3\_K\_M](https... | 2024-01-02T13:55:01 | https://www.reddit.com/r/LocalLLaMA/comments/18wpyty/why_is_mixtral_so_slow_on_a_ryzen_3900_12_core24/ | SnooPaintings5407 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wpyty | false | null | t3_18wpyty | /r/LocalLLaMA/comments/18wpyty/why_is_mixtral_so_slow_on_a_ryzen_3900_12_core24/ | false | false | 1 | null | |
Noromaid v0.1 Mixtral 8x7b Instruct v3 now on Infermatic.ai | 1 | For those who wanted to try the Noromaid finetuned with Mixtral the release is here, you can try it here on [Infermatic.ai](https://Infermatic.ai) | 2024-01-02T13:27:16 | https://www.reddit.com/r/LocalLLaMA/comments/18wpeq0/noromaid_v01_mixtral_8x7b_instruct_v3_now_on/ | Horror_Echo6243 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wpeq0 | false | null | t3_18wpeq0 | /r/LocalLLaMA/comments/18wpeq0/noromaid_v01_mixtral_8x7b_instruct_v3_now_on/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'W-pCh47ZuoTaTpwtRXWs755SzkkFQzHW6A1NS1MJI_A', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/IoUbWrubYyEjhlVchwRPNergZFyoEfUZRDayK06XMTM.jpg?width=108&crop=smart&auto=webp&s=aa7b8a73d9f4825dcec8d2a7d8805a9c50369d0b', 'width': 108}, {'height': 216, 'url': '... |
[Demo App] Can we have an oss always-on assistant in 2024? | 1 | tl;dr: I built a small tech demo of an always-on AI assistant. Just open the index.html, set an AI endpoint, and try it out! [https://github.com/AndrewVeee/assistant-demo](https://github.com/AndrewVeee/assistant-demo)
Imagine...
Overnight, you received 10 new emails. You wake up, open your personal assistant, and:
*... | 2024-01-02T13:22:28 | https://www.reddit.com/r/LocalLLaMA/comments/18wpbdq/demo_app_can_we_have_an_oss_alwayson_assistant_in/ | AndrewVeee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wpbdq | false | null | t3_18wpbdq | /r/LocalLLaMA/comments/18wpbdq/demo_app_can_we_have_an_oss_alwayson_assistant_in/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '5tsnd5LvmAW-FBCzj2F0L_7bpUcVrU17fPCRNg_Rv1I', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/HH4a8hK3jLSID4FmXbcCtTzE38lFjnQnSk3ZjzFu27I.jpg?width=108&crop=smart&auto=webp&s=b7d09a579d9d8550ab805040769158e5fb5cff56', 'width': 108}, {'height': 108, 'url': 'h... |
Add P40 24gb to RTX 2070 Super system? Compatible? | 1 | Hi! I recently got into oobabooga and language models and quickly realized that my otherwise sturdy RTX 2070 Super 8gb is pretty underpowered when it comes to language models.
Now Ive read about adding a P40 24gb with custom cooling, so my question is if this will be compatible to be added alongside my 2070 super inst... | 2024-01-02T13:00:00 | https://www.reddit.com/r/LocalLLaMA/comments/18wovad/add_p40_24gb_to_rtx_2070_super_system_compatible/ | blyatbob | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wovad | false | null | t3_18wovad | /r/LocalLLaMA/comments/18wovad/add_p40_24gb_to_rtx_2070_super_system_compatible/ | false | false | self | 1 | null |
CPU and motherboard - how important are pci lanes and what is a good cheap ddr4 option for 72gb of vram? | 1 | A lot of motherboards even for new ryzen CPUs only have 1 full speed pci x16 slot and the rest at 1x or 2x speeds.
What's a good option that costs about 4-500 (mobo and CPU) and can handle something like a 3090 and 2 p40s or 3 p40s? There's no real info I can find anywhere except a few builds with ancient server CPUs ... | 2024-01-02T12:52:22 | https://www.reddit.com/r/LocalLLaMA/comments/18woqgw/cpu_and_motherboard_how_important_are_pci_lanes/ | FourthDeerSix | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18woqgw | false | null | t3_18woqgw | /r/LocalLLaMA/comments/18woqgw/cpu_and_motherboard_how_important_are_pci_lanes/ | false | false | self | 1 | null |
multiple classifier using LLM | 1 | Hello everyone,
I am currently utilizing GPT-4 to classify text into 15 different categories. My dataset, which is manually annotated and curated, consists of 500 examples. This dataset is being used to measure the accuracy of my classification.
I've observed that different prompting methods yield slightly different ... | 2024-01-02T12:39:19 | https://www.reddit.com/r/LocalLLaMA/comments/18woi2q/multiple_classifier_using_llm/ | LookTheDataAgain | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18woi2q | false | null | t3_18woi2q | /r/LocalLLaMA/comments/18woi2q/multiple_classifier_using_llm/ | false | false | self | 1 | null |
Requesting help with my planned PC setup | 1 | Hey, Im planning to buy a new pc setup for local LLM execution and I have established the following list of components. I would appreciate if you would review & critique the components I have chosen. I want to be cost-efficient, but also have some room for future improvements - for now the plan is to buy 64 GB RAM and ... | 2024-01-02T12:08:39 | https://www.reddit.com/r/LocalLLaMA/comments/18wnypf/requesting_help_with_my_planned_pc_setup/ | BalticLion | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wnypf | false | null | t3_18wnypf | /r/LocalLLaMA/comments/18wnypf/requesting_help_with_my_planned_pc_setup/ | false | false | self | 1 | null |
TinyMix-8x1b-chat | 1 | Following in the footsteps of mixtral. It's rumoured that mixtral was initialised with 8 mistral 7b, as the weight correlation is too high to be a coincidence. So tinymix is a scaled down version of that.
By using tinyllama 1.1b chat. I merged 8 of them together to make TinyMix-8x1b-chat.
This shouldn't improve perfo... | 2024-01-02T11:25:05 | https://huggingface.co/eastwind/tinymix-8x1b-chat | Eastwindy123 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 18wn95p | false | null | t3_18wn95p | /r/LocalLLaMA/comments/18wn95p/tinymix8x1bchat/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'XNvt4-Yw_hbYKUNS3J582aO4gyuQzN9WfzyqwToj0Ec', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/nswgOyJHWytyP2dj24PHBmml9f2hjEKSXB69ee8UaWk.jpg?width=108&crop=smart&auto=webp&s=49993839436a137ceada9a0362a66dc2aa5cecb3', 'width': 108}, {'height': 116, 'url': 'h... | |
"AI capabilities can be significantly improved without expensive retraining" - survey and analysis of post-training enhancements | 1 | **Paper**: [https://arxiv.org/abs/2312.07413](https://arxiv.org/abs/2312.07413)
**Blog post**: [https://epochai.org/blog/ai-capabilities-can-be-significantly-improved-without-expensive-retraining](https://epochai.org/blog/ai-capabilities-can-be-significantly-improved-without-expensive-retraining)
**Abstract**:
>Stat... | 2024-01-02T11:14:19 | https://www.reddit.com/r/LocalLLaMA/comments/18wn2wg/ai_capabilities_can_be_significantly_improved/ | APaperADay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wn2wg | false | null | t3_18wn2wg | /r/LocalLLaMA/comments/18wn2wg/ai_capabilities_can_be_significantly_improved/ | false | false | 1 | null | |
Is there a timeline of benchmarks? | 1 | I've been following different leaderboards like [chat-bot arena](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard), [open llm](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard), and [eval plus](https://evalplus.github.io/leaderboard.html). These are great snapshots of how things are right n... | 2024-01-02T10:16:42 | https://www.reddit.com/r/LocalLLaMA/comments/18wm6o8/is_there_a_timeline_of_benchmarks/ | Choice-Sea1917 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wm6o8 | false | null | t3_18wm6o8 | /r/LocalLLaMA/comments/18wm6o8/is_there_a_timeline_of_benchmarks/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'NznMM59j5wdrY5wQI7NFIvCCSvI_r5DiWbV6Yttjt4U', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/iSUILmL8Tti0RghUlTbIZ6nEn3EKOmcy3dQow7O4d7Y.jpg?width=108&crop=smart&auto=webp&s=f88179d6f196d4a898eb5ee06f7a5f6f84025708', 'width': 108}, {'height': 116, 'url': 'h... |
Can't quite seem to get my P40s to work. Any tips? 'not enough resources' | 1 | [removed] | 2024-01-02T10:13:20 | https://www.reddit.com/r/LocalLLaMA/comments/18wm4tq/cant_quite_seem_to_get_my_p40s_to_work_any_tips/ | TopRecognition9302 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wm4tq | false | null | t3_18wm4tq | /r/LocalLLaMA/comments/18wm4tq/cant_quite_seem_to_get_my_p40s_to_work_any_tips/ | false | false | self | 1 | null |
Model reponse is too short | 1 | [removed] | 2024-01-02T10:01:54 | https://www.reddit.com/r/LocalLLaMA/comments/18wlyha/model_reponse_is_too_short/ | Enkay55 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wlyha | false | null | t3_18wlyha | /r/LocalLLaMA/comments/18wlyha/model_reponse_is_too_short/ | false | false | self | 1 | null |
LLM 2023 summary | 1 | \# Large Models 2023 Summary
​
\## OpenAI
​
\- \*\*ChatGPT\*\* - Released on November 30, 2022, with a context window size of 4096 tokens.
\- \*\*\*GPT-4\*\*\* - Released on March 11, 2023, a larger model brings better performance, with the context window expanded to 8192 tokens.
\- \*\*DALL·E\*\* -... | 2024-01-02T09:56:48 | https://www.reddit.com/r/LocalLLaMA/comments/18wlvla/llm_2023_summary/ | Fit_Constant1335 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wlvla | false | null | t3_18wlvla | /r/LocalLLaMA/comments/18wlvla/llm_2023_summary/ | false | false | self | 1 | {'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... |
Nous-Hermes-2-SOLAR-10.7B | 1 | > Hermes on Solar gets very close to our Yi release from Christmas at 1/3rd the size!
> In terms of benchmarks, it sits between OpenHermes 2.5 7B on Mistral and our Yi-34B finetune from Christmas.
- [Announcement tweet](https://twitter.com/Teknium1/status/1742041640775348460)
- [Hugging Face](https://huggingface.co/N... | 2024-01-02T09:32:44 | https://www.reddit.com/r/LocalLLaMA/comments/18wlj6s/noushermes2solar107b/ | itsuka_k2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wlj6s | false | null | t3_18wlj6s | /r/LocalLLaMA/comments/18wlj6s/noushermes2solar107b/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'QNpz59yG9R9kWfL6whVNjKVVx-CatVEjkCjAQPZc2IY', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/W0_o0z-d2SBfldLDI0nmAWx5uO9uXE1sOLBYsD0YdsM.jpg?width=108&crop=smart&auto=webp&s=f2f09d9de359ced6f0e218553d77510d38aa7956', 'width': 108}], 'source': {'height': 14... |
Teaching mistral 7b a new language | 1 | Hi everyone! I have been using mistral 7b (and some of its fine tuned variants) to power various RAG applications in english since it came out and so far it has been amazing. The problem I am facing right now is I would like to create a version of mistral for my native language, as its peformance with non-english queri... | 2024-01-02T09:30:30 | https://www.reddit.com/r/LocalLLaMA/comments/18wlhxx/teaching_mistral_7b_a_new_language/ | Scared-Tip7914 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wlhxx | false | null | t3_18wlhxx | /r/LocalLLaMA/comments/18wlhxx/teaching_mistral_7b_a_new_language/ | false | false | self | 1 | null |
Distributed Inference and Fine-tuning of Large Language Models Over The Internet | 1 | 2024-01-02T09:17:19 | https://arxiv.org/abs/2312.08361 | zepmck | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 18wlazl | false | null | t3_18wlazl | /r/LocalLLaMA/comments/18wlazl/distributed_inference_and_finetuning_of_large/ | false | false | default | 1 | null | |
Deepseek models Reverse Engineered API | 1 | Unofficial API Wrapper for Deepseek (chat.deepseek.com) in Python.
This is a reverse-engineered API for the Deepseek coder and Deepseek code chatbots.
This API is not affiliated with Deepseek in any way.
Supported models:
1. Deepseek Chat 67B
2. Deepseek Code 33B
Project GitHub: https://github.com/rabilrbl/deepse... | 2024-01-02T08:51:25 | rabilrbl | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18wkxcu | false | null | t3_18wkxcu | /r/LocalLLaMA/comments/18wkxcu/deepseek_models_reverse_engineered_api/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'VEYrVDrEUA_hv2QjN4-1MabEd9BXMiP4SIrje6WadJk', 'resolutions': [{'height': 54, 'url': 'https://preview.redd.it/2yjfkx7eqz9c1.jpeg?width=108&crop=smart&auto=webp&s=6b79b4aaefa35ac26003266f4cecd23f9617b9d7', 'width': 108}, {'height': 108, 'url': 'https://preview.redd.it/2yjfkx7eqz9c1.jp... | ||
The different levels of censorship in Mistral 7b | 1 | Dolphin variant 2.2.1 is still the best when it comes to enlightened linguistic creativity.
https://preview.redd.it/fe8jk987pz9c1.jpg?width=2000&format=pjpg&auto=webp&s=2a54180004bd5c995c27b331d9648af8797026d2 | 2024-01-02T08:45:35 | https://www.reddit.com/r/LocalLLaMA/comments/18wkuc6/the_different_levels_of_censorship_in_mistral_7b/ | Internet--Traveller | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wkuc6 | false | null | t3_18wkuc6 | /r/LocalLLaMA/comments/18wkuc6/the_different_levels_of_censorship_in_mistral_7b/ | false | false | 1 | null | |
Anyone managed to successfully use textgen-webui API in place of OpenAI api, in local LLM apps (and docker)? | 1 | Hi
As title says, I can't figure this out.
As I understand, textgen-webui, with the right flags enabled, is supposed to mimic the OpenAI API. But I can't get this work in anything local, with the sole exception of SillyTavern.
When launched, the terminal (windows) says:
`INFO:OpenAI-compatible API URL:`
[`ht... | 2024-01-02T07:49:33 | https://www.reddit.com/r/LocalLLaMA/comments/18wk06z/anyone_managed_to_successfully_use_textgenwebui/ | TheWebbster | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wk06z | false | null | t3_18wk06z | /r/LocalLLaMA/comments/18wk06z/anyone_managed_to_successfully_use_textgenwebui/ | false | false | 1 | null | |
Which models are best for generating code? | 1 | For my next project, I am looking for a model that would work well to generate code (similar to GitHub Copilot).
I would like to run it on a MacBook Pro with M1/2/3 chip with 64GB shared RAM.
Which model would you recommend? | 2024-01-02T07:39:26 | https://www.reddit.com/r/LocalLLaMA/comments/18wjukd/which_models_are_best_for_generating_code/ | tspwd | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wjukd | false | null | t3_18wjukd | /r/LocalLLaMA/comments/18wjukd/which_models_are_best_for_generating_code/ | false | false | self | 1 | null |
Using XTuner to fine-tuning any LLMs | 1 | 1. Support full-parameter, LoRA, QLoRA fine-tuning for any LLMs (including Llama, Mixtral-8x7b...)
2. Compatible with DeepSpeed ZeRO strategies, enabling effortless integration and utilization.
3. Support multi-modal VLM pre-training and fine-tuning (e.g., LLaVA)!
[https://github.com/InternLM/xtuner/](https://github.c... | 2024-01-02T07:34:08 | https://www.reddit.com/r/LocalLLaMA/comments/18wjrph/using_xtuner_to_finetuning_any_llms/ | LZHgrla | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wjrph | false | null | t3_18wjrph | /r/LocalLLaMA/comments/18wjrph/using_xtuner_to_finetuning_any_llms/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '6Z_tNS6twmAzMGq0xauXKhvXtvjKg7s86kX9Y6O8fYM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/HQYRqVU4ztfGyqDIPAi10xeeLh8Cvcsdi8fQOlpUpf4.jpg?width=108&crop=smart&auto=webp&s=aa178774d1b50db317d48a514b0edea49e6b03f1', 'width': 108}, {'height': 108, 'url': 'h... |
Easy Setup! Self-host Mixtral-8x7B across devices with a 2M inference app | 1 | 2024-01-02T07:33:34 | https://www.secondstate.io/articles/mixtral-8-7b/ | smileymileycoin | secondstate.io | 1970-01-01T00:00:00 | 0 | {} | 18wjrez | false | null | t3_18wjrez | /r/LocalLLaMA/comments/18wjrez/easy_setup_selfhost_mixtral8x7b_across_devices/ | false | false | default | 1 | null | |
How do you do roleplay games? | 1 | As the title says. I’ve been planning to try a large roleplay game - as in, an ongoing story/adventure over a few sessions - and was looking for all tips/advice on models, front ends, settings, how to handle it/pitfalls to avoid, etc. if there’s a good guide somewhere, I’d love to be pointed to it.
I’m restricted to G... | 2024-01-02T07:28:55 | https://www.reddit.com/r/LocalLLaMA/comments/18wjoqg/how_do_you_do_roleplay_games/ | NotTheTitanic | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18wjoqg | false | null | t3_18wjoqg | /r/LocalLLaMA/comments/18wjoqg/how_do_you_do_roleplay_games/ | false | false | self | 1 | null |
Web UI NSFW model that is light? | 1 | [removed] | 2024-01-02T06:47:54 | Green_Young_7328 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18wj1c0 | false | null | t3_18wj1c0 | /r/LocalLLaMA/comments/18wj1c0/web_ui_nsfw_model_that_is_light/ | false | false | nsfw | 1 | {'enabled': True, 'images': [{'id': 'mQ5LQocTw3AsHZF4BU8rarfm2O9GtqxQqoUDiYXBups', 'resolutions': [{'height': 192, 'url': 'https://preview.redd.it/nkh5yz7d4z9c1.jpeg?width=108&crop=smart&auto=webp&s=4e218668914f6448138ce8ca63a7c4ea23fdf27e', 'width': 108}, {'height': 384, 'url': 'https://preview.redd.it/nkh5yz7d4z9c1.j... |
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