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Please help finetuning llama-2 on custom dataset | 1 | Hey everyone,
I currently have about 40 questionnaires. They are about various topics and they are like questionnaires based on personality, preference etc. For example, Statement: I care about helping people. Options:
1. *Does not describe me*
2. *Slightly describes me*
3. *Moderately describes me*
4. *Describ... | 2024-04-06T22:33:00 | https://www.reddit.com/r/LocalLLaMA/comments/1bxo9du/please_help_finetuning_llama2_on_custom_dataset/ | phoenixonfires | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxo9du | false | null | t3_1bxo9du | /r/LocalLLaMA/comments/1bxo9du/please_help_finetuning_llama2_on_custom_dataset/ | false | false | self | 1 | null |
What was the most complex code generated with local LLM? | 29 | I’m curious what was the most complex piece of code or complete program you were able to generate with local LLM that runs without any issues and does most, if not all, of what you asked for?
I try mostly models under 40B range (plus mixtral) and while all of them can easily generate code for factorial or quick sort, ... | 2024-04-06T22:28:42 | https://www.reddit.com/r/LocalLLaMA/comments/1bxo5vq/what_was_the_most_complex_code_generated_with/ | gamesntech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxo5vq | false | null | t3_1bxo5vq | /r/LocalLLaMA/comments/1bxo5vq/what_was_the_most_complex_code_generated_with/ | false | false | self | 29 | null |
10.7b Mistral based model | 66 | 32k context length and performs really well for rag, math, and coding tasks
Trained a a variety of permissible conversational, math, and code datasets.
Model: https://huggingface.co/sanjay920/rubra-11b-h
GGUF: https://huggingface.co/sanjay920/rubra-11b-h-GGUF
Examples of some fun questions and needle in a haystack sc... | 2024-04-06T22:20:25 | https://www.reddit.com/r/LocalLLaMA/comments/1bxnyym/107b_mistral_based_model/ | tmacnadidas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxnyym | false | null | t3_1bxnyym | /r/LocalLLaMA/comments/1bxnyym/107b_mistral_based_model/ | false | false | self | 66 | {'enabled': False, 'images': [{'id': '-V6cjZrJhr-9JHCEd95PtnpaNRCBbcLnR4Dj1QS99q0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/9_MTfrHdC9koCQ4xbck8JgRPlooTGqJhp7g5R_YPAfk.jpg?width=108&crop=smart&auto=webp&s=ce1a4c54f3e03961914246f5dd29e9b4f2bcfcd5', 'width': 108}, {'height': 116, 'url': 'h... |
I'm really enjoying Gemma 1.1 for summarizing jobs | 28 | 2024-04-06T21:59:03 | https://v.redd.it/e24tf6celxsc1 | Account1893242379482 | /r/LocalLLaMA/comments/1bxnh5l/im_really_enjoying_gemma_11_for_summarizing_jobs/ | 1970-01-01T00:00:00 | 0 | {} | 1bxnh5l | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/e24tf6celxsc1/DASHPlaylist.mpd?a=1715162354%2CZDMxY2VlNWI3ZmJjMzIyOGU3N2VlMjc1OWNjNDRkYzBjNDRkMDE1MjEyYTY3OTI0YzhjZTY5Y2EwODg4YjUwNw%3D%3D&v=1&f=sd', 'duration': 47, 'fallback_url': 'https://v.redd.it/e24tf6celxsc1/DASH_1080.mp4?source=fallback', 'h... | t3_1bxnh5l | /r/LocalLLaMA/comments/1bxnh5l/im_really_enjoying_gemma_11_for_summarizing_jobs/ | false | false | 28 | {'enabled': False, 'images': [{'id': 'Y3h5dXBmdGlseHNjMX1hP7vaSY9bVF_RKVpKez5tJMj31GHEh5wliiAxPpSW', 'resolutions': [{'height': 106, 'url': 'https://external-preview.redd.it/Y3h5dXBmdGlseHNjMX1hP7vaSY9bVF_RKVpKez5tJMj31GHEh5wliiAxPpSW.png?width=108&crop=smart&format=pjpg&auto=webp&s=ef83995033695a498d7051f682995871bc4f... | ||
Phi-2 took less A100 hours than TinyLlama to train | 110 | The TinyLlama github says:
> The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs
Microsoft says:
> The training for Phi-2 took 14 days on 96 A100 GPUs.
Clearly, it's much be... | 2024-04-06T21:58:05 | https://www.reddit.com/r/LocalLLaMA/comments/1bxngcu/phi2_took_less_a100_hours_than_tinyllama_to_train/ | oof-baroomf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxngcu | false | null | t3_1bxngcu | /r/LocalLLaMA/comments/1bxngcu/phi2_took_less_a100_hours_than_tinyllama_to_train/ | false | false | self | 110 | null |
Asking for help: fine-tunning DeBERTa SQuAD, where do I start? | 3 |
Hello,
I have tried using the model available at [https://huggingface.co/timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2), and it has performed exceptionally well for my specific tasks. However, I believe there are certain aspects that could potentially be easily fine-tuned... | 2024-04-06T21:51:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bxnbaw/asking_for_help_finetunning_deberta_squad_where/ | Clasyc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxnbaw | false | null | t3_1bxnbaw | /r/LocalLLaMA/comments/1bxnbaw/asking_for_help_finetunning_deberta_squad_where/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'h0FYE_VeUJ20IqiArc429pCEzyB-j3z4vkbiMy1IKWE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/PgTQGlgIiiD-vH-Gq7QYPU2LBzd7YOB4pJ-jLcxhhDM.jpg?width=108&crop=smart&auto=webp&s=5357cc3218d4c813b7b3c957f865b14817d8e4dc', 'width': 108}, {'height': 116, 'url': 'h... |
Repeting sentences problem | 6 | I've touched on this topic before, but I still have a problem that after some time the character starts repeating sentences, even inserting the same dialogue at the same time. Changing the temperature, top k or top p does nothing. I'm currently using blue orchid 2x7b | 2024-04-06T20:40:15 | https://www.reddit.com/r/LocalLLaMA/comments/1bxln4l/repeting_sentences_problem/ | LonleyPaladin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxln4l | false | null | t3_1bxln4l | /r/LocalLLaMA/comments/1bxln4l/repeting_sentences_problem/ | false | false | self | 6 | null |
Forcing English-only output with LLMs like Qwen's with llama.cpp | 1 | [removed] | 2024-04-06T19:53:50 | https://www.reddit.com/r/LocalLLaMA/comments/1bxkjgt/forcing_englishonly_output_with_llms_like_qwens/ | zyyyzyxz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxkjgt | false | null | t3_1bxkjgt | /r/LocalLLaMA/comments/1bxkjgt/forcing_englishonly_output_with_llms_like_qwens/ | false | false | self | 1 | null |
10.7b 32k, mistral-0.2 based model | 1 | [removed] | 2024-04-06T19:29:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bxjywi/107b_32k_mistral02_based_model/ | tmacnadidas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxjywi | false | null | t3_1bxjywi | /r/LocalLLaMA/comments/1bxjywi/107b_32k_mistral02_based_model/ | false | false | 1 | {'enabled': False, 'images': [{'id': '-V6cjZrJhr-9JHCEd95PtnpaNRCBbcLnR4Dj1QS99q0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/9_MTfrHdC9koCQ4xbck8JgRPlooTGqJhp7g5R_YPAfk.jpg?width=108&crop=smart&auto=webp&s=ce1a4c54f3e03961914246f5dd29e9b4f2bcfcd5', 'width': 108}, {'height': 116, 'url': 'h... | |
Looking for Yi 34b finetuning guide. | 2 | Y'all got any colab notebooks lying around? | 2024-04-06T19:21:25 | https://www.reddit.com/r/LocalLLaMA/comments/1bxjrr7/looking_for_yi_34b_finetuning_guide/ | gaztrab | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxjrr7 | false | null | t3_1bxjrr7 | /r/LocalLLaMA/comments/1bxjrr7/looking_for_yi_34b_finetuning_guide/ | false | false | self | 2 | null |
'law' of transformers | 9 | After working with hundreds of transformer models over the past year and a half, GPT, Claude, Llama, Mixtral and friends, I've come up with a 'law' that I think might help people think more generally about what transformers can do, wanted to see if this tracks with y'alls experience?
krw's 'law' - Outside of translati... | 2024-04-06T19:16:04 | https://www.reddit.com/r/LocalLLaMA/comments/1bxjn5m/law_of_transformers/ | 0x5f3759df-i | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxjn5m | false | null | t3_1bxjn5m | /r/LocalLLaMA/comments/1bxjn5m/law_of_transformers/ | false | false | spoiler | 9 | null |
Advice regarding a deep learning build focused on LLMs and multi modal models | 2 | I am currently working as an ML Engineer and our work mainly revolves around training computer vision models for video analytics. I'm presently looking to assemble a PC build for personal use, as I can't realistically utilize the GPUs at work for my personal requirements. I want to use this for LLMs, and multimodal mod... | 2024-04-06T19:04:41 | https://www.reddit.com/r/LocalLLaMA/comments/1bxjdpb/advice_regarding_a_deep_learning_build_focused_on/ | adlokib | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxjdpb | false | null | t3_1bxjdpb | /r/LocalLLaMA/comments/1bxjdpb/advice_regarding_a_deep_learning_build_focused_on/ | false | false | self | 2 | null |
[Project] Akin to that of Inflection AI's Pi | 1 | [removed] | 2024-04-06T18:32:29 | https://www.reddit.com/r/LocalLLaMA/comments/1bximgm/project_akin_to_that_of_inflection_ais_pi/ | EntrepreneurTimely34 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bximgm | false | null | t3_1bximgm | /r/LocalLLaMA/comments/1bximgm/project_akin_to_that_of_inflection_ais_pi/ | false | false | self | 1 | null |
Laptop + eGPU setup for llama.cpp local inference? | 1 | [removed] | 2024-04-06T18:03:23 | https://www.reddit.com/r/LocalLLaMA/comments/1bxhxh4/laptop_egpu_setup_for_llamacpp_local_inference/ | int_amp_123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxhxh4 | false | null | t3_1bxhxh4 | /r/LocalLLaMA/comments/1bxhxh4/laptop_egpu_setup_for_llamacpp_local_inference/ | false | false | self | 1 | null |
3090 24gb vs 4070super-Ti 16gb | 8 | Getting started on my own build for the first time. In a ML practitioner by profession but since a lot of GPU infra is abstracted at workplace, I wanted to know which one is better value for price+future proof. Getting either for ~700.
I plan to run llama13b (ideally 70b) and voicecraft inference for my local home-per... | 2024-04-06T18:01:52 | https://www.reddit.com/r/LocalLLaMA/comments/1bxhw28/3090_24gb_vs_4070superti_16gb/ | weight_matrix | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxhw28 | false | null | t3_1bxhw28 | /r/LocalLLaMA/comments/1bxhw28/3090_24gb_vs_4070superti_16gb/ | false | false | self | 8 | null |
Beginner issue: Converting HF model to GGUF. Llama.cpp won't install. Error in post. | 2 | Collecting numpy~=1.24.4 (from -r llama.cpp\./requirements/requirements-convert.txt (line 1))
Using cached numpy-1.24.4.tar.gz (10.9 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... error
error: subprocess-exited-with-error
× Getting requirements ... | 2024-04-06T17:27:07 | https://www.reddit.com/r/LocalLLaMA/comments/1bxh1xq/beginner_issue_converting_hf_model_to_gguf/ | DrinkCubaLibre | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxh1xq | false | null | t3_1bxh1xq | /r/LocalLLaMA/comments/1bxh1xq/beginner_issue_converting_hf_model_to_gguf/ | false | false | self | 2 | null |
Local LLM for learning in remote areas | 32 | I'm working with a refugee camp to deploy local learning programs and curious to explore and see if I can host a finetuned LLM on a local server and allow students to access via a web interface. This will act as an AI tutor for them.
Has someone done this or open to support this initiative? | 2024-04-06T17:16:39 | https://www.reddit.com/r/LocalLLaMA/comments/1bxgt25/local_llm_for_learning_in_remote_areas/ | iabheejit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxgt25 | false | null | t3_1bxgt25 | /r/LocalLLaMA/comments/1bxgt25/local_llm_for_learning_in_remote_areas/ | false | false | self | 32 | null |
Does the new request use the previous KVcache? | 1 | [removed] | 2024-04-06T17:13:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bxgqny/does_the_new_request_use_the_previous_kvcache/ | Pristine-Sentence-70 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxgqny | false | null | t3_1bxgqny | /r/LocalLLaMA/comments/1bxgqny/does_the_new_request_use_the_previous_kvcache/ | false | false | self | 1 | null |
Universal applicable method for increasing the training speed significantly | 0 | In the above images you can see that using my method I reduced the training time by almost 50%. Both models have the same parameters size and dataset, there's just an architecture thing I implemented
It is applicable to almost any LLM architecture.
- Easy to implement.
-Can improve the training speed significantly a... | 2024-04-06T17:07:07 | https://www.reddit.com/gallery/1bxgl18 | Trick-Independent469 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bxgl18 | false | null | t3_1bxgl18 | /r/LocalLLaMA/comments/1bxgl18/universal_applicable_method_for_increasing_the/ | false | false | 0 | null | |
What's the cheapest way to train models? | 49 | At the moment, if I rent 3090s online, the breakeven calculation shows it will be cheaper if I buy a 3090 second hand if I train for more than around 6 months.
Then I thought, maybe 2nd hand P100s could be even cheaper, they cost just $150-$200 but of course have less VRAM and is slower. Let's call it $300 to normaliz... | 2024-04-06T16:50:42 | https://www.reddit.com/r/LocalLLaMA/comments/1bxg6u1/whats_the_cheapest_way_to_train_models/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxg6u1 | false | null | t3_1bxg6u1 | /r/LocalLLaMA/comments/1bxg6u1/whats_the_cheapest_way_to_train_models/ | false | false | self | 49 | null |
Favorite model for coding? | 91 | What's your favorite model for coding, either writing or debugging? | 2024-04-06T16:27:04 | https://www.reddit.com/r/LocalLLaMA/comments/1bxfms3/favorite_model_for_coding/ | blackberrydoughnuts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxfms3 | false | null | t3_1bxfms3 | /r/LocalLLaMA/comments/1bxfms3/favorite_model_for_coding/ | false | false | self | 91 | null |
[D] LLM’s ability to find needles in a haystack signifies the death of RAG | 1 | This blog addresses the assertion that RAG will die to the rise of long-context LLM | 2024-04-06T15:51:50 | https://www.reddit.com/r/LocalLLaMA/comments/1bxeszx/d_llms_ability_to_find_needles_in_a_haystack/ | Vissidarte_2021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxeszx | false | null | t3_1bxeszx | /r/LocalLLaMA/comments/1bxeszx/d_llms_ability_to_find_needles_in_a_haystack/ | false | false | self | 1 | null |
reading a news article and generate a summary | 5 | How do I choose a good LLM model? | 2024-04-06T15:30:42 | https://www.reddit.com/r/LocalLLaMA/comments/1bxebih/reading_a_news_article_and_generate_a_summary/ | kim82351 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxebih | false | null | t3_1bxebih | /r/LocalLLaMA/comments/1bxebih/reading_a_news_article_and_generate_a_summary/ | false | false | self | 5 | null |
LLM’s ability to find needles in a haystack signifies the death of RAG? | 1 | 2024-04-06T15:25:35 | https://medium.com/@infiniflowai/llms-ability-to-find-needles-in-a-haystack-signifies-the-death-of-rag-0414d8818463 | Vissidarte_2021 | medium.com | 1970-01-01T00:00:00 | 0 | {} | 1bxe7dx | false | null | t3_1bxe7dx | /r/LocalLLaMA/comments/1bxe7dx/llms_ability_to_find_needles_in_a_haystack/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'aVCFRo3IqFNLitD5CHC01IlsB93h6Cgp9IuWsmHy6N8', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/Kk5ZVEBpuhYMPx_NEkKVvDY_eobqR5iKn58pkSkalfg.jpg?width=108&crop=smart&auto=webp&s=78fca4f022c6dc26aeed5aff9a5d73c3d8fe5098', 'width': 108}, {'height': 432, 'url': '... | ||
Using Edge TTS as a free TTS engine | 1 | [removed] | 2024-04-06T15:11:05 | https://www.reddit.com/r/LocalLLaMA/comments/1bxdvdi/using_edge_tts_as_a_free_tts_engine/ | and_human | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxdvdi | false | null | t3_1bxdvdi | /r/LocalLLaMA/comments/1bxdvdi/using_edge_tts_as_a_free_tts_engine/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'aChRPejHnTe9OuE-gJZbMPaaU8yddn4vL59EpuGDy-8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/fj1jLIYNmTklvb3wsa3oLW1NB61ybBFVR8ziacXpUds.jpg?width=108&crop=smart&auto=webp&s=62d6505980fcf386720287e09c5e025e2ee7c957', 'width': 108}, {'height': 121, 'url': 'h... |
Give me your fantasy (open source) dataset to train a LLM on. I'll get the big money. | 1 | Maybe this isnt the hard part, and the tuning is.
If pooling resources to grind compute time is the only issue, I have a knack for this.
Basically, if we want a chatgpt4 quality, is there a dataset that exists and can do what we need? | 2024-04-06T14:33:43 | https://www.reddit.com/r/LocalLLaMA/comments/1bxd0bf/give_me_your_fantasy_open_source_dataset_to_train/ | Waterbottles_solve | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxd0bf | false | null | t3_1bxd0bf | /r/LocalLLaMA/comments/1bxd0bf/give_me_your_fantasy_open_source_dataset_to_train/ | false | false | self | 1 | null |
Trying to get some info about llama 3 from a spy | 1 | 2024-04-06T14:22:24 | celsowm | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bxcra3 | false | null | t3_1bxcra3 | /r/LocalLLaMA/comments/1bxcra3/trying_to_get_some_info_about_llama_3_from_a_spy/ | false | false | 1 | {'enabled': True, 'images': [{'id': '4S8mOqUrNPArMutW1pQzhnprqDZDEf539TEFgd5XZfM', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/qys82261cvsc1.jpeg?width=108&crop=smart&auto=webp&s=3e14d413be7e84a72b2796a28f22376fbcbd4ea9', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/qys82261cvsc1.j... | |||
STOP buying old GPUs, wait for B100! | 0 | 2024-04-06T13:50:33 | Wrong_User_Logged | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bxc1xc | false | null | t3_1bxc1xc | /r/LocalLLaMA/comments/1bxc1xc/stop_buying_old_gpus_wait_for_b100/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'Z0OYTqECR-zEupBR91O9wPiZA06vv-so2fdZatIBxMI', 'resolutions': [{'height': 64, 'url': 'https://preview.redd.it/hnq7z9ab6vsc1.png?width=108&crop=smart&auto=webp&s=93d103f92dd202d194bf76a50e210968ef4f569f', 'width': 108}, {'height': 128, 'url': 'https://preview.redd.it/hnq7z9ab6vsc1.png... | |||
Business use case | 9 | I have a business use case.
I tried Devika and I am trying to get the demo working at my end but I got to the extent of getting a pygame code with the prompt of the demo. I got a blank screen but it's a WIP.
I think what they have done is amazing! And has so much applications.
I have a business case.
We have a set... | 2024-04-06T13:48:20 | https://github.com/stitionai/devika | card_chase | github.com | 1970-01-01T00:00:00 | 0 | {} | 1bxc05z | false | null | t3_1bxc05z | /r/LocalLLaMA/comments/1bxc05z/business_use_case/ | false | false | 9 | {'enabled': False, 'images': [{'id': 'ydSI_pYlfoKZY9OHHqqznAhi38QY0C0McxYj_DSDELo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xCb9uvVOpn5qNEKRIVIt_K_fq_I8E_DFP1cBYU1CNN0.jpg?width=108&crop=smart&auto=webp&s=8caf799b31b3bf41f08e04416b97727bafb7af78', 'width': 108}, {'height': 108, 'url': 'h... | |
Would you buy H100 now or wait for B100? | 1 | 2024-04-06T13:44:02 | Wrong_User_Logged | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bxbwub | false | null | t3_1bxbwub | /r/LocalLLaMA/comments/1bxbwub/would_you_buy_h100_now_or_wait_for_b100/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'tUldal-TR2CxESLXdU8L3CBphEdoAqY_fpjwskJP_yc', 'resolutions': [{'height': 64, 'url': 'https://preview.redd.it/xu5avhtz4vsc1.png?width=108&crop=smart&auto=webp&s=3547dc534a293ba1f33b15c02caaac505521662c', 'width': 108}, {'height': 128, 'url': 'https://preview.redd.it/xu5avhtz4vsc1.png... | |||
Best practice for getting local models to follow instructions? | 1 | [removed] | 2024-04-06T13:17:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bxbcrn/best_practice_for_getting_local_models_to_follow/ | Minimum_Composer_761 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxbcrn | false | null | t3_1bxbcrn | /r/LocalLLaMA/comments/1bxbcrn/best_practice_for_getting_local_models_to_follow/ | false | false | self | 1 | null |
Automated regression testing for function calling? | 2 | I've got a chat app that has a bunch of tools available for function calling. What are ways people are making sure their function descriptions don't collide? When I get user feedback, I alter the descriptions to help their prompt work, but how can I be sure there aren't ripple effects? At an extreme example, if I set o... | 2024-04-06T13:16:32 | https://www.reddit.com/r/LocalLLaMA/comments/1bxbbt8/automated_regression_testing_for_function_calling/ | Beginning_Radish8041 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxbbt8 | false | null | t3_1bxbbt8 | /r/LocalLLaMA/comments/1bxbbt8/automated_regression_testing_for_function_calling/ | false | false | self | 2 | null |
Looking for guidance in selecting a GPU within my budget: $1k, Canada | 3 | I live in Canada and want to get into AI as a hobby. The rest of my gaming hardware is good, but I want a better card to run ai more than anything.
I've seen refurbished 24gb Nvidia cards going for above $2500, but that's well outside my price range. Are their trusted ways to buy used GPU? I've heard their are some t... | 2024-04-06T13:08:07 | https://www.reddit.com/r/LocalLLaMA/comments/1bxb5hu/looking_for_guidance_in_selecting_a_gpu_within_my/ | cribbageSTARSHIP | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxb5hu | false | null | t3_1bxb5hu | /r/LocalLLaMA/comments/1bxb5hu/looking_for_guidance_in_selecting_a_gpu_within_my/ | false | false | self | 3 | null |
7b 32k: I merged Dolphin with Mistral v0.2 and got this | 131 | I was looking for models based on Mistral v0.2 7B (32k context window) but so far there are not that many. Dolphin looks like the most interesting so far. Because Dolphin was trained on the v0.2 base model I wondered what happens when Dolphin gets merged with v0.2 Instruct 🤔
Ok here we go:
​
[better than ... | 2024-04-06T12:57:06 | https://www.reddit.com/r/LocalLLaMA/comments/1bxax9o/7b_32k_i_merged_dolphin_with_mistral_v02_and_got/ | __tosh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxax9o | false | null | t3_1bxax9o | /r/LocalLLaMA/comments/1bxax9o/7b_32k_i_merged_dolphin_with_mistral_v02_and_got/ | false | false | 131 | {'enabled': False, 'images': [{'id': 'LCWColUj3D7-ba-Pga2cKlA4M8BE7OBT5nfoT9bfjs8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/bJP-MKDFktRZR9elPeYF76P0BJphV1MLP49nbEo0lbY.jpg?width=108&crop=smart&auto=webp&s=90983531a813ff4ad07f415a2492d4c3e984d46c', 'width': 108}, {'height': 116, 'url': 'h... | |
Need a review of my learning speed - Andrej’s NN hero to zero series | 1 | [removed] | 2024-04-06T12:21:24 | https://www.reddit.com/r/LocalLLaMA/comments/1bxa83x/need_a_review_of_my_learning_speed_andrejs_nn/ | bethe09 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxa83x | false | null | t3_1bxa83x | /r/LocalLLaMA/comments/1bxa83x/need_a_review_of_my_learning_speed_andrejs_nn/ | false | false | self | 1 | null |
Good models for 24GB VRAM havers? | 1 | [removed] | 2024-04-06T12:19:12 | https://www.reddit.com/r/LocalLLaMA/comments/1bxa6le/good_models_for_24gb_vram_havers/ | BetterProphet5585 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxa6le | false | null | t3_1bxa6le | /r/LocalLLaMA/comments/1bxa6le/good_models_for_24gb_vram_havers/ | false | false | self | 1 | null |
TinyLlama after training is not giving desired results | 12 | I am learning to train tinyllama, on my own small (\[SmallDataSet\]\[1\]) dataset, using the Unsloth notebook.
Here is my notebook customized to my small dataset: \[Notebook\]\[2\]
Please advice why it is not able to answer instructions its trained on.
\*\*And how do I fix this issue ?\*\*
\[1\]: [https://hug... | 2024-04-06T12:09:02 | https://www.reddit.com/r/LocalLLaMA/comments/1bx9zqz/tinyllama_after_training_is_not_giving_desired/ | AnuragVohra | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx9zqz | false | null | t3_1bx9zqz | /r/LocalLLaMA/comments/1bx9zqz/tinyllama_after_training_is_not_giving_desired/ | false | false | self | 12 | {'enabled': False, 'images': [{'id': 'BjH8c6DU_QpWFvgFUTzBUfXaDiilj7ss8WRWymjXgGM', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/TQJhitTyUjDELmOi_1mssvkHSBAmie15YwrnsiKBp_4.jpg?width=108&crop=smart&auto=webp&s=24dbf5839b0ece2e0459c70840971f212a9a1436', 'width': 108}, {'height': 116, 'url': 'h... |
Aggregating/summarizing data with numbers | 3 | I'm new to Llama and other language models, so I'm sorry for asking maybe stupid questions in advance..
I'm member of a sport club which participate in many matches/games. For each competition there's metadata such as date, location, players, scores and similar.
I thought it could be fun to process this data using a... | 2024-04-06T11:22:28 | https://www.reddit.com/r/LocalLLaMA/comments/1bx96y6/aggregatingsummarizing_data_with_numbers/ | BrilliantNose2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx96y6 | false | null | t3_1bx96y6 | /r/LocalLLaMA/comments/1bx96y6/aggregatingsummarizing_data_with_numbers/ | false | false | self | 3 | null |
I tried using Local GPT4All and Oobabooga to convert old Geocities style website to modern, just dump the whole code in vs suggesting to the A.I., in the video I show the failures and success. | 1 | 2024-04-06T11:14:19 | https://www.youtube.com/watch?v=nC7Tc1Bgau4 | Vitamin_C_is_awesome | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1bx923l | false | {'oembed': {'author_name': 'Bracer Jack', 'author_url': 'https://www.youtube.com/@BracerJack', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/nC7Tc1Bgau4?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope... | t3_1bx923l | /r/LocalLLaMA/comments/1bx923l/i_tried_using_local_gpt4all_and_oobabooga_to/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'x4ceJnMVRPp67ZCbq12Os7NFk5gJVXB0jU1QYWm_IO4', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/CMand7sKFciXZYO8E9JnnR1oKf3Fem3nyu4wFdIekjI.jpg?width=108&crop=smart&auto=webp&s=16686e82a12724a50d914ec6aaf6f40c1fa27b10', 'width': 108}, {'height': 162, 'url': 'h... | ||
Two papers CLAIMING superhuman performance in two important tasks: Superhuman chemists (LLMs) and Superhuman annotators (LLM agents). | 6 | SUPERHUMAN CHEMISTS:
https://arxiv.org/abs/2404.01475
SUPERHUMAN ANNOTATORS:
https://arxiv.org/abs/2403.18802 | 2024-04-06T09:41:01 | https://www.reddit.com/gallery/1bx7ndd | AprMayJunJul | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bx7ndd | false | null | t3_1bx7ndd | /r/LocalLLaMA/comments/1bx7ndd/two_papers_claiming_superhuman_performance_in_two/ | false | false | 6 | null | |
New AI News site with focus on LLMs: 'Neuronal Networks News' | 4 | New page with AI news updates. It is not exclusively tailored to LLMs, but that is where the music plays. Focus is also more on business/company developments and less on scientific details.
[http://techinvest.li/ai/](http://techinvest.li/ai/) | 2024-04-06T09:13:55 | https://www.reddit.com/r/LocalLLaMA/comments/1bx7937/new_ai_news_site_with_focus_on_llms_neuronal/ | leece3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx7937 | false | null | t3_1bx7937 | /r/LocalLLaMA/comments/1bx7937/new_ai_news_site_with_focus_on_llms_neuronal/ | false | false | self | 4 | null |
Is there a tutorial that could help me run dolphin-2.7-mixtral-8x7b model on 6900xt? | 1 | [removed] | 2024-04-06T08:57:03 | https://www.reddit.com/r/LocalLLaMA/comments/1bx6zy4/is_there_a_tutorial_that_could_help_me_run/ | C_umputer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx6zy4 | false | null | t3_1bx6zy4 | /r/LocalLLaMA/comments/1bx6zy4/is_there_a_tutorial_that_could_help_me_run/ | false | false | self | 1 | null |
How stop text models from going in loops | 1 | [removed] | 2024-04-06T08:44:57 | https://www.reddit.com/r/LocalLLaMA/comments/1bx6tip/how_stop_text_models_from_going_in_loops/ | mrmojoer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx6tip | false | null | t3_1bx6tip | /r/LocalLLaMA/comments/1bx6tip/how_stop_text_models_from_going_in_loops/ | false | false | self | 1 | null |
A reasoning test I came up with for LLMs | 1 | [removed] | 2024-04-06T07:49:54 | https://www.reddit.com/r/LocalLLaMA/comments/1bx60b1/a_reasoning_test_i_came_up_with_for_llms/ | Comfortaxis | self.LocalLLaMA | 2024-04-06T07:53:56 | 0 | {} | 1bx60b1 | false | null | t3_1bx60b1 | /r/LocalLLaMA/comments/1bx60b1/a_reasoning_test_i_came_up_with_for_llms/ | false | false | self | 1 | null |
to use or not to use auto batch size in HF trainer? | 2 | as title says, should i use using auto batch size?
i have some trouble when setting specified batch size, as such, i prefer to rely on auto batch size so i dont run into OOM errors.
does this have any adverse impact on training performance?
if it helps, i also noticed that my validation loss is not really changing m... | 2024-04-06T07:33:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bx5ri3/to_use_or_not_to_use_auto_batch_size_in_hf_trainer/ | M000lie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx5ri3 | false | null | t3_1bx5ri3 | /r/LocalLLaMA/comments/1bx5ri3/to_use_or_not_to_use_auto_batch_size_in_hf_trainer/ | false | false | self | 2 | null |
How would you rank the frontier models in terms of capability (from Best to Worst): | 0 | [deleted] | 2024-04-06T07:04:30 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bx5bp5 | false | null | t3_1bx5bp5 | /r/LocalLLaMA/comments/1bx5bp5/how_would_you_rank_the_frontier_models_in_terms/ | false | false | default | 0 | null | ||
Informal demographic survey of r/localLLaMA. What is your sex? | 1 | [removed]
[View Poll](https://www.reddit.com/poll/1bx52il) | 2024-04-06T06:49:01 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bx52il | false | null | t3_1bx52il | /r/LocalLLaMA/comments/1bx52il/informal_demographic_survey_of_rlocalllama_what/ | false | false | default | 1 | null | ||
Specific Yes/No question answering LLMs | 1 | [removed] | 2024-04-06T06:43:14 | https://www.reddit.com/r/LocalLLaMA/comments/1bx4z6a/specific_yesno_question_answering_llms/ | Ok_Agency8827 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx4z6a | false | null | t3_1bx4z6a | /r/LocalLLaMA/comments/1bx4z6a/specific_yesno_question_answering_llms/ | false | false | self | 1 | null |
How and Where can I deploy this fine tuned Mistral7b instruct? Question | Help | 2 | I have fine-tuned it in together.ai. I saw that stable diffusion model is also in safetensor format, but I did not get how to deploy it. I want to use it as an API, and talk with api calls
https://preview.redd.it/ikafn04awssc1.png?width=602&format=png&auto=webp&s=739c2fc8c13f3414fc9cefa1d5e8db0145e29a95 | 2024-04-06T06:10:44 | https://www.reddit.com/r/LocalLLaMA/comments/1bx4g73/how_and_where_can_i_deploy_this_fine_tuned/ | kenshi-Kz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx4g73 | false | null | t3_1bx4g73 | /r/LocalLLaMA/comments/1bx4g73/how_and_where_can_i_deploy_this_fine_tuned/ | false | false | 2 | null | |
How and Where can I deploy this fine tuned Mistral7b instruct? | 1 | [deleted] | 2024-04-06T06:07:28 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bx4e9j | false | null | t3_1bx4e9j | /r/LocalLLaMA/comments/1bx4e9j/how_and_where_can_i_deploy_this_fine_tuned/ | false | false | default | 1 | null | ||
What is the best small model for RAG and summary | 2 | I am working on a project where there are 2 use cases of RAG and summarising chat transscripts. I am looking for a LLM which has a latency on 1-2 seconds on a A10G GPU systems and can perform answering questions based on chunks and summarising. I am seeing the 7b models still have a latency of 8-10 seconds on A10 GP... | 2024-04-06T05:53:21 | https://www.reddit.com/r/LocalLLaMA/comments/1bx4612/what_is_the_best_small_model_for_rag_and_summary/ | savvyzac | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx4612 | false | null | t3_1bx4612 | /r/LocalLLaMA/comments/1bx4612/what_is_the_best_small_model_for_rag_and_summary/ | false | false | self | 2 | null |
Required open source libraries/package in python for visualizing the data fetched from mongodb via prior prompt , | 1 | [removed] | 2024-04-06T05:33:11 | https://www.reddit.com/r/LocalLLaMA/comments/1bx3u2t/required_open_source_librariespackage_in_python/ | Bubbly-Platypus-8602 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx3u2t | false | null | t3_1bx3u2t | /r/LocalLLaMA/comments/1bx3u2t/required_open_source_librariespackage_in_python/ | false | false | self | 1 | null |
Exposing the ridiculous dual use and bad actor argument that Leading AI labs, Luddites and Doomers use to push for regulations: | 0 | [deleted] | 2024-04-06T05:29:47 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bx3rw1 | false | null | t3_1bx3rw1 | /r/LocalLLaMA/comments/1bx3rw1/exposing_the_ridiculous_dual_use_and_bad_actor/ | false | false | default | 0 | null | ||
Both Sam Altman and DemIs Hassabis, CEOs of OpenAI and Google Deepmind respectively, have stated that the current frontier models are not dangerous and future frontier models will not be dangerous for a few years. If so, why not release the weights and training data or make them uncensored? | 181 | Clip from this Sam Altman interview:
https://youtu.be/byYlC2cagLw?feature=shared
Publish on 21st October 2023
Timestamp: 34:26
Clip for this DemIs Hassabis Interview:
https://youtu.be/qTogNUV3CAI?feature=shared
Published on 28rh February 2024
Timestamp: 28:23 | 2024-04-06T05:07:40 | https://v.redd.it/jylpr2m2lssc1 | AprMayJunJul | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bx3egd | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/jylpr2m2lssc1/DASHPlaylist.mpd?a=1714980272%2CNDRlODA2MjFjZjBlOTllYzU1MjQyNGE2YWYwOTc3NmUxZTdjNjIyN2E4OTZhOTcwYTJkN2E4ZjczMWVkN2YxOQ%3D%3D&v=1&f=sd', 'duration': 20, 'fallback_url': 'https://v.redd.it/jylpr2m2lssc1/DASH_720.mp4?source=fallback', 'ha... | t3_1bx3egd | /r/LocalLLaMA/comments/1bx3egd/both_sam_altman_and_demis_hassabis_ceos_of_openai/ | false | false | 181 | {'enabled': False, 'images': [{'id': 'YWRqcGs5aDJsc3NjMRQYUbIXC4V00LOC6IMdyTTS4-IE9hp91TTPntI4Y9wj', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/YWRqcGs5aDJsc3NjMRQYUbIXC4V00LOC6IMdyTTS4-IE9hp91TTPntI4Y9wj.png?width=108&crop=smart&format=pjpg&auto=webp&s=2c6ccd5968a6e96ab3e8a368269c9c0a76198... | |
New to LLMS and Seeking Guidance for Projects with GDScript Context | 1 | [removed] | 2024-04-06T04:58:00 | https://www.reddit.com/r/LocalLLaMA/comments/1bx3862/new_to_llms_and_seeking_guidance_for_projects/ | GALYGIOUS | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx3862 | false | null | t3_1bx3862 | /r/LocalLLaMA/comments/1bx3862/new_to_llms_and_seeking_guidance_for_projects/ | false | false | self | 1 | null |
Forcing English-only output with LLMs like Qwen with llama.cpp | 1 | [removed] | 2024-04-06T04:56:36 | https://www.reddit.com/r/LocalLLaMA/comments/1bx37b2/forcing_englishonly_output_with_llms_like_qwen/ | zyyyzyxz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx37b2 | false | null | t3_1bx37b2 | /r/LocalLLaMA/comments/1bx37b2/forcing_englishonly_output_with_llms_like_qwen/ | false | false | self | 1 | null |
Advice regarding a deep learning build focused on LLMs and multi modal models | 2 | I am currently working as an ML Engineer and our work mainly revolves around training computer vision models for video analytics. I'm presently looking to assemble a PC build for personal use, as I can't realistically utilize the GPUs at work for my personal requirements. I want to use this for LLMs, and multimodal mod... | 2024-04-06T04:25:41 | https://www.reddit.com/r/LocalLLaMA/comments/1bx2njl/advice_regarding_a_deep_learning_build_focused_on/ | adlokib | self.LocalLLaMA | 2024-04-06T04:32:34 | 0 | {} | 1bx2njl | false | null | t3_1bx2njl | /r/LocalLLaMA/comments/1bx2njl/advice_regarding_a_deep_learning_build_focused_on/ | false | false | self | 2 | null |
Why are many large language models currently rejecting tasks and preferring to take shortcuts? | 7 | I am talking even about the opensource models. | 2024-04-06T04:11:08 | https://www.reddit.com/r/LocalLLaMA/comments/1bx2dpd/why_are_many_large_language_models_currently/ | RedditAdminCeo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx2dpd | false | null | t3_1bx2dpd | /r/LocalLLaMA/comments/1bx2dpd/why_are_many_large_language_models_currently/ | false | false | self | 7 | null |
24gb L4 on Dell poweredge r650 - good enough for Mixtral? | 5 | I have a dell poweredge r650 running rocky Linux that I use for deployment at work. We're currently working on getting a GPU for inference, and I have found the L4, which seems to be a good contender. I haven't been able to work out if this setup will work if I want to run Mixtral though, so what do you think? And do y... | 2024-04-06T03:44:12 | https://www.reddit.com/r/LocalLLaMA/comments/1bx1v7d/24gb_l4_on_dell_poweredge_r650_good_enough_for/ | _donau_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx1v7d | false | null | t3_1bx1v7d | /r/LocalLLaMA/comments/1bx1v7d/24gb_l4_on_dell_poweredge_r650_good_enough_for/ | false | false | self | 5 | null |
Advice regarding a deep learning build focused on LLMs and multi modal models | 1 | [removed] | 2024-04-06T03:42:18 | [deleted] | 2024-04-06T03:45:29 | 0 | {} | 1bx1txl | false | null | t3_1bx1txl | /r/LocalLLaMA/comments/1bx1txl/advice_regarding_a_deep_learning_build_focused_on/ | false | false | default | 1 | null | ||
I hope Meta and Yann LeCun incorporate some advanced scaled up versions of V-Jepa and I-Jepa into LLaMA 3. | 6 | https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/
https://arxiv.org/abs/2301.08243 | 2024-04-06T03:24:17 | https://www.reddit.com/gallery/1bx1hwn | AprMayJunJul | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bx1hwn | false | null | t3_1bx1hwn | /r/LocalLLaMA/comments/1bx1hwn/i_hope_meta_and_yann_lecun_incorporate_some/ | false | false | 6 | null | |
New 11b mistral based model trained with block expansion | 1 | [removed] | 2024-04-06T03:15:16 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bx1bo5 | false | null | t3_1bx1bo5 | /r/LocalLLaMA/comments/1bx1bo5/new_11b_mistral_based_model_trained_with_block/ | false | false | default | 1 | null | ||
New 11b mistral model trained with block expansion | 1 | [removed] | 2024-04-06T03:07:43 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bx16ju | false | null | t3_1bx16ju | /r/LocalLLaMA/comments/1bx16ju/new_11b_mistral_model_trained_with_block_expansion/ | false | false | default | 1 | null | ||
New Viking model family pre-release (trained on Nordic languages) 7B, 13B, 33B | 71 | These have been trained using a Llama 2 type architecture with 4k context length for 1 trillion tokens and they will continue training them for 2 trillion tokens in total. It's trained on Finnish, Swedish, Norwegian, Danish, Icelandic and English. More info on their [blog post](https://www.silo.ai/blog/viking-7b-13b-33... | 2024-04-06T02:55:25 | https://www.reddit.com/r/LocalLLaMA/comments/1bx0xvr/new_viking_model_family_prerelease_trained_on/ | mpasila | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx0xvr | false | null | t3_1bx0xvr | /r/LocalLLaMA/comments/1bx0xvr/new_viking_model_family_prerelease_trained_on/ | false | false | self | 71 | {'enabled': False, 'images': [{'id': 'rqCyBxgL3raAVPUbU9oeLg8hSawcCjhJ4gELgzALhYM', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/jj60iNs7hWDDiABGqbbVpDdXrQ44ARxRvso1p2FiMKE.jpg?width=108&crop=smart&auto=webp&s=322a209fed66ae372ae3086e2c38d6b40486d981', 'width': 108}, {'height': 121, 'url': 'h... |
Training LLMs over Neurally Compressed Text - Interesting research paper by Google DeepMind & Anthropic AI | 16 | **📝 Research paper**: [https://arxiv.org/abs/2404.03626v1](https://arxiv.org/abs/2404.03626v1)
**🤔 Problem?**:
The research paper addresses the problem of training large language models (LLMs) over highly compressed text. This is important because standard subword tokenizers can only achieve a small level of compr... | 2024-04-06T02:25:43 | https://www.reddit.com/r/LocalLLaMA/comments/1bx0cp9/training_llms_over_neurally_compressed_text/ | dippatel21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx0cp9 | false | null | t3_1bx0cp9 | /r/LocalLLaMA/comments/1bx0cp9/training_llms_over_neurally_compressed_text/ | false | false | self | 16 | null |
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent | 32 | 🔗C**ode:** [**https://github.com/THUDM/AutoWebGLM**](https://github.com/THUDM/AutoWebGLM?utm_source=llm.beehiiv.com&utm_medium=newsletter&utm_campaign=summary-of-top-llms-related-research-papers-published-on-april-4th-2024)
This research paper proposes a solution called **AutoWebGLM, which is an automated web naviga... | 2024-04-06T02:19:39 | https://www.reddit.com/r/LocalLLaMA/comments/1bx08b6/autowebglm_bootstrap_and_reinforce_a_large/ | dippatel21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bx08b6 | false | null | t3_1bx08b6 | /r/LocalLLaMA/comments/1bx08b6/autowebglm_bootstrap_and_reinforce_a_large/ | false | false | 32 | {'enabled': False, 'images': [{'id': 'nKSOFVm3bt_YmZZKFa9WUqJWuHjdznV0zpkqVuZbCeU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/0Tml0wjDguMKLPzz_ZMV5UAA0oX9ClKS5jdL_R5dUWI.jpg?width=108&crop=smart&auto=webp&s=6aea85fbcfbbda3f64da336fa0e6c18c44c35d58', 'width': 108}, {'height': 108, 'url': 'h... | |
How to Convert Mixtral 8x7B to GGUF ? | 5 | As the title says, how can I do it? I'm training it locally and have the safetensors file and so on, I want to convert it to GGUF somehow. Thanks | 2024-04-06T02:02:19 | https://www.reddit.com/r/LocalLLaMA/comments/1bwzvhq/how_to_convert_mixtral_8x7b_to_gguf/ | Educational_Rent1059 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwzvhq | false | null | t3_1bwzvhq | /r/LocalLLaMA/comments/1bwzvhq/how_to_convert_mixtral_8x7b_to_gguf/ | false | false | self | 5 | null |
Best Service to Host RAG and LLM | 4 | I am in the process of deploying a Retrieval-Augmented Generation (RAG) system that crafts specific prompts to query a LLaMA model. This setup functions well locally, and I'm now exploring suitable cloud platforms for hosting. Ideally, the service should offer extensive GPU resources or scalable architecture, given th... | 2024-04-06T00:48:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bwycvl/best_service_to_host_rag_and_llm/ | bradendev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwycvl | false | null | t3_1bwycvl | /r/LocalLLaMA/comments/1bwycvl/best_service_to_host_rag_and_llm/ | false | false | self | 4 | null |
April 5th 2024- Local LLM Weekend Projects/Doings | 6 | What are you going to be doing this weekend with your Local LLM?
* I did grab 3.5bpw DBRX for exllamav2 2 days ago and played with it a bit yesterday. Wasn't happy with the output, it's not as good as people are saying, so I'll give it a go again and if it doesn't meet the standard, I'll grab the pure weights and tr... | 2024-04-06T00:47:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bwyc6g/april_5th_2024_local_llm_weekend_projectsdoings/ | segmond | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwyc6g | false | null | t3_1bwyc6g | /r/LocalLLaMA/comments/1bwyc6g/april_5th_2024_local_llm_weekend_projectsdoings/ | false | false | self | 6 | null |
Gemma 1.1 Instruct 2B and 7B released by Google | 215 | 2024-04-06T00:38:22 | https://huggingface.co/google/gemma-1.1-7b-it | ayyndrew | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1bwy4vy | false | null | t3_1bwy4vy | /r/LocalLLaMA/comments/1bwy4vy/gemma_11_instruct_2b_and_7b_released_by_google/ | false | false | 215 | {'enabled': False, 'images': [{'id': 'QE8unCy_6FOIWdfHHNAuF6eX1BQUEy-NwI-mCZO6zvs', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/uqbwfBf0pY_vEL4D9rIM5RsteRKHOe_2xX1WfoeFFqY.jpg?width=108&crop=smart&auto=webp&s=b9af675b7cbf92987ad75cf1fd676fe8ae7c9ab6', 'width': 108}, {'height': 116, 'url': 'h... | ||
Using MLX with LibreChat or LM Studio | 0 | [removed] | 2024-04-06T00:20:04 | https://www.reddit.com/r/LocalLLaMA/comments/1bwxqyc/using_mlx_with_librechat_or_lm_studio/ | davewolfs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwxqyc | false | null | t3_1bwxqyc | /r/LocalLLaMA/comments/1bwxqyc/using_mlx_with_librechat_or_lm_studio/ | false | false | self | 0 | null |
Gemma 1.1 Instruct 2B and 7B released | 5 | [deleted] | 2024-04-06T00:19:01 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bwxq6z | false | {'oembed': {'author_name': 'Omar Sanseviero', 'author_url': 'https://twitter.com/osanseviero', 'cache_age': 3153600000, 'height': None, 'html': '<blockquote class="twitter-video"><p lang="en" dir="ltr">Happy Friday! New Gemma instruct model is out 🔥have a fun weekend! 🤗<a href="https://t.co/NSiN9UOJzu">https://t.co/N... | t3_1bwxq6z | /r/LocalLLaMA/comments/1bwxq6z/gemma_11_instruct_2b_and_7b_released/ | false | false | default | 5 | null | ||
$2000 Cheapest 192GB VRam build possible | 168 | I'm using two Tesla P40 and get like 20 tok/s on llama.cpp llama 70b 4bit
decided to see just how this would cost for a 8x GPU system would be, 6of the GPUs will be on pcie 3.0 8x but not bad since each CPU has 40 pcie lanes, combined to 80 lanes.
I honestly don't think performance is getting beat without reduc... | 2024-04-05T23:36:51 | https://www.reddit.com/r/LocalLLaMA/comments/1bwwsvq/2000_cheapest_192gb_vram_build_possible/ | danikhan632 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwwsvq | false | null | t3_1bwwsvq | /r/LocalLLaMA/comments/1bwwsvq/2000_cheapest_192gb_vram_build_possible/ | false | false | self | 168 | null |
GPU Docking Station TH3P4 | 87 | I like this configuration I daisychain them together to an intel nuc via thunderbolt. Thought I would share. This is my 4th GPU. | 2024-04-05T23:12:44 | https://www.reddit.com/gallery/1bww961 | AutomaticDriver5882 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bww961 | false | null | t3_1bww961 | /r/LocalLLaMA/comments/1bww961/gpu_docking_station_th3p4/ | false | false | 87 | null | |
Every time I install python LLM stuff... | 48 | 2024-04-05T23:07:09 | miaowara | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bww4c7 | false | null | t3_1bww4c7 | /r/LocalLLaMA/comments/1bww4c7/every_time_i_install_python_llm_stuff/ | false | false | 48 | {'enabled': True, 'images': [{'id': '3lwz7iBEtn9_vamEvrTIBZC94Y680XE12iLyN6u1UoQ', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/3v06gsv9sqsc1.png?width=108&crop=smart&auto=webp&s=48e25d9fb995ffff07eca9dce8d5b14d697c42ba', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/3v06gsv9sqsc1.png... | |||
Mistral odd one shot responses and corrections | 5 | I have noticed that Mistral 7b is making a lot of small errors for simple geography, history question so really question it should get the answer. Then I say "you are wrong" and give it the answer I am getting a message "I apologize ..." and it gives the right answer. But I feel it could give me any answer and he would... | 2024-04-05T21:50:34 | https://www.reddit.com/r/LocalLLaMA/comments/1bwu8ay/mistral_odd_one_shot_responses_and_corrections/ | akasaka99 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwu8ay | false | null | t3_1bwu8ay | /r/LocalLLaMA/comments/1bwu8ay/mistral_odd_one_shot_responses_and_corrections/ | false | false | self | 5 | null |
Why you shouldn't use an instruct model for chat. | 23 | 2024-04-05T21:30:55 | I_M_Scott | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bwtqgv | false | null | t3_1bwtqgv | /r/LocalLLaMA/comments/1bwtqgv/why_you_shouldnt_use_an_instruct_model_for_chat/ | false | false | 23 | {'enabled': True, 'images': [{'id': '1W5ruI8L6aYiQU5w4peoDDtBreJqwjTho-yAdvGZNBs', 'resolutions': [{'height': 26, 'url': 'https://preview.redd.it/v1lv4amebqsc1.png?width=108&crop=smart&auto=webp&s=737c362ea811228fea3d1160a400bd0c441e95bc', 'width': 108}, {'height': 52, 'url': 'https://preview.redd.it/v1lv4amebqsc1.png?... | |||
I cannot believe this was just 8 years ago. Makes Sydney seem like she is same. | 12 | 2024-04-05T21:26:36 | https://www.reddit.com/gallery/1bwtmh8 | AprMayJunJul | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bwtmh8 | false | null | t3_1bwtmh8 | /r/LocalLLaMA/comments/1bwtmh8/i_cannot_believe_this_was_just_8_years_ago_makes/ | false | false | 12 | null | ||
Best Big model? | 36 | With the release of some really good big models that are 70B+. What would you say the best model is out of Qwen 72B, Cohere R+ (104B) and DBRX (132B).
I know Qwen is the oldest and smallest but, it is highest ranking OS model on the chatbot arena. So, do you think any of the newer models might beat it? | 2024-04-05T20:59:20 | https://www.reddit.com/r/LocalLLaMA/comments/1bwsxpm/best_big_model/ | Figai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwsxpm | false | null | t3_1bwsxpm | /r/LocalLLaMA/comments/1bwsxpm/best_big_model/ | false | false | self | 36 | null |
nano or iphone 3 | 0 | what is the smallest devices can you run a local llm on | 2024-04-05T20:28:14 | https://www.reddit.com/r/LocalLLaMA/comments/1bws6c9/nano_or_iphone_3/ | ifiniteblm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bws6c9 | false | null | t3_1bws6c9 | /r/LocalLLaMA/comments/1bws6c9/nano_or_iphone_3/ | false | false | self | 0 | null |
Mantella (AI NPCs) ported to Fallout 4, XTTS support | 1 | [removed] | 2024-04-05T20:14:39 | https://www.reddit.com/r/LocalLLaMA/comments/1bwrucs/mantella_ai_npcs_ported_to_fallout_4_xtts_support/ | Art_from_the_Machine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwrucs | false | null | t3_1bwrucs | /r/LocalLLaMA/comments/1bwrucs/mantella_ai_npcs_ported_to_fallout_4_xtts_support/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'W_QBihzZElTlzw-VTY-6PmvzfmZgSuImKf-y-kJsnZs', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/uv5MLn8F6eFyuCfQZCtllc529sq2lEhATw0RUkNUx8c.jpg?width=108&crop=smart&auto=webp&s=4a0c4ddc8d85262b39590dd7db4002962fbdbb42', 'width': 108}, {'height': 122, 'url': 'h... |
Is this on the LMSYS Arena Leaderboard? | 1 | 2024-04-05T20:09:43 | AprMayJunJul | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bwrq4b | false | null | t3_1bwrq4b | /r/LocalLLaMA/comments/1bwrq4b/is_this_on_the_lmsys_arena_leaderboard/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'qygqK0b_WAsO5G803Ixw5JQJDpBbt4Ctdht8KH0KVx0', 'resolutions': [{'height': 182, 'url': 'https://preview.redd.it/ffarqdq3xpsc1.png?width=108&crop=smart&auto=webp&s=aab8bcfe7cb4810fd4e70481b641254c472181e2', 'width': 108}, {'height': 365, 'url': 'https://preview.redd.it/ffarqdq3xpsc1.pn... | |||
What is the ‘Open source’ SOTA right now? | 0 | Proprietary SOTA seems to be Claude 3 Opus.
Open weights SOTA seems to be the recently released Command R+ by Cohere.
What is the best model that has open weights plus the full training data is also released with the MIT license? | 2024-04-05T19:40:56 | https://www.reddit.com/r/LocalLLaMA/comments/1bwr10j/what_is_the_open_source_sota_right_now/ | AprMayJunJul | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwr10j | false | null | t3_1bwr10j | /r/LocalLLaMA/comments/1bwr10j/what_is_the_open_source_sota_right_now/ | false | false | self | 0 | null |
Its astonishing how many important terms in AI are so hard to define. No one can be sure what people mean when they say that AI can or cannot ‘reason'.............. | 0 | Or what AGI means,
Or what consciousness means,
Or what synthetic data means,
Or what intelligence means,
Or what ASI means,
And most surprisingly, what ‘Open’ in OpenAI means. | 2024-04-05T19:06:55 | https://www.reddit.com/r/LocalLLaMA/comments/1bwq80g/its_astonishing_how_many_important_terms_in_ai/ | AprMayJunJul | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwq80g | false | null | t3_1bwq80g | /r/LocalLLaMA/comments/1bwq80g/its_astonishing_how_many_important_terms_in_ai/ | false | false | self | 0 | null |
EFFICIENCY ALERT: Some papers and approaches in the last few months which reduces pretraining and/or fintuning and/or inference costs generally or for specific use cases. | 179 | 2024-04-05T18:49:04 | https://www.reddit.com/gallery/1bwpsly | AprMayJunJul | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bwpsly | false | null | t3_1bwpsly | /r/LocalLLaMA/comments/1bwpsly/efficiency_alert_some_papers_and_approaches_in/ | false | false | 179 | null | ||
GGUF My Repo - HF Space for creating quantized models | 83 | Georgi Gerganov (creator of GGML/GGUF) just announced a HuggingFace space where you can easily create quantized model version of your own HF models!
https://preview.redd.it/if110q3dhpsc1.png?width=1466&format=png&auto=webp&s=124dea01eb6a16bb32af5689b136cf91db20df84
Link to HF space
[https://huggingface.co/spaces/ggm... | 2024-04-05T18:42:20 | https://www.reddit.com/r/LocalLLaMA/comments/1bwpmw9/gguf_my_repo_hf_space_for_creating_quantized/ | reallmconnoisseur | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwpmw9 | false | null | t3_1bwpmw9 | /r/LocalLLaMA/comments/1bwpmw9/gguf_my_repo_hf_space_for_creating_quantized/ | false | false | 83 | {'enabled': False, 'images': [{'id': 'KtXU0Zrkmj3Q6R3PD-O5Kz9_w5WZDGsSTtcw8zxcL3c', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/6ZeT9wcPxJoAm4MmG56Wjed8qqPJJlz0E1UXDqlI8BY.jpg?width=108&crop=smart&auto=webp&s=3796be6431c446a6b10dc354693d2455b350c194', 'width': 108}, {'height': 116, 'url': 'h... | |
RAG evaluation framework | 4 | Hi,
I am looking for some good resources for RAG evaluation. | 2024-04-05T18:14:15 | https://www.reddit.com/r/LocalLLaMA/comments/1bwoycr/rag_evaluation_framework/ | Diligent_Eye1248 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwoycr | false | null | t3_1bwoycr | /r/LocalLLaMA/comments/1bwoycr/rag_evaluation_framework/ | false | false | self | 4 | null |
RAG and Redis | 4 | I want to start learning more about RAG, but also then storing those embeddings in Redis.
Does anyone have good beginner links or resources to share?
Thanks! | 2024-04-05T17:41:48 | https://www.reddit.com/r/LocalLLaMA/comments/1bwo5qm/rag_and_redis/ | blakestarkenburg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwo5qm | false | null | t3_1bwo5qm | /r/LocalLLaMA/comments/1bwo5qm/rag_and_redis/ | false | false | self | 4 | null |
Does setting a lower max_seq_length when fine-tuning make the max context window size smaller? | 1 | [removed] | 2024-04-05T17:39:36 | https://www.reddit.com/r/LocalLLaMA/comments/1bwo3q0/does_setting_a_lower_max_seq_length_when/ | bingeeit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwo3q0 | false | null | t3_1bwo3q0 | /r/LocalLLaMA/comments/1bwo3q0/does_setting_a_lower_max_seq_length_when/ | false | false | self | 1 | null |
Looking for beta testers for AI companion | 1 | [removed] | 2024-04-05T17:30:22 | https://www.reddit.com/r/LocalLLaMA/comments/1bwnvoj/looking_for_beta_testers_for_ai_companion/ | Guizkane | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwnvoj | false | null | t3_1bwnvoj | /r/LocalLLaMA/comments/1bwnvoj/looking_for_beta_testers_for_ai_companion/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'eIr9ZN9cEoWGWBrx7lQnPmrEF8ENjjcenamj0L27fNw', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/4egQ63WFCtJZMFggWqcLwWWADqkiiR25vsFcBZU3pLI.jpg?width=108&crop=smart&auto=webp&s=3fa695a6c6532f4844eeb9d80e4369d356579471', 'width': 108}, {'height': 113, 'url': 'h... |
Which GPU do I use for playing with local models? | 3 | Hi everyone - I am new to running models locally (being using API a lot), and I am thinking about upgrading my desktop to begin playing with local models.
CPU: i7-8700k
Motherboard: MSI Z390 Gaming Edge AC
RAM: GDDR4 16GB *2
GPU: MSI GTX960
I have a 850w power and two SSD that sum to 1.5 T. I would like to upgrade... | 2024-04-05T17:08:12 | https://www.reddit.com/r/LocalLLaMA/comments/1bwnc9d/which_gpu_do_i_use_for_playing_with_local_models/ | Setsunaku | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwnc9d | false | null | t3_1bwnc9d | /r/LocalLLaMA/comments/1bwnc9d/which_gpu_do_i_use_for_playing_with_local_models/ | false | false | self | 3 | null |
How LLM training avoid reading into the benchmarking eval dataset? | 8 | This is probably gonna sound dumb to few people but I was wondering that if the dataset used for training the LLMs is the entire web then how do they make sure that they do not contaminate the eval dataset for all the benchmarks we see in the public leaderboard? | 2024-04-05T17:04:38 | https://www.reddit.com/r/LocalLLaMA/comments/1bwn95z/how_llm_training_avoid_reading_into_the/ | AmoghMishra2303 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwn95z | false | null | t3_1bwn95z | /r/LocalLLaMA/comments/1bwn95z/how_llm_training_avoid_reading_into_the/ | false | false | self | 8 | null |
Does this comment deserve a downvote or up ote | 0 | https://www.reddit.com/r/ClaudeAI/s/AFjLBDgrmr
[View Poll](https://www.reddit.com/poll/1bwn41k) | 2024-04-05T16:58:54 | https://www.reddit.com/r/LocalLLaMA/comments/1bwn41k/does_this_comment_deserve_a_downvote_or_up_ote/ | Temporary-Data9219 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwn41k | false | null | t3_1bwn41k | /r/LocalLLaMA/comments/1bwn41k/does_this_comment_deserve_a_downvote_or_up_ote/ | false | false | self | 0 | null |
If I use a RAG system like AnythingLLM etc., do I still have to ask to browse the uploaded files in my (system-)prompt? | 0 | I always wondering if i need to do this or not.
What do I have to do so that it only looks for the answer in the files provided and communicates this if it cannot find any suitable information?
And what are your (system-)promps for asking some files? | 2024-04-05T16:50:34 | https://www.reddit.com/r/LocalLLaMA/comments/1bwmwyh/if_i_use_a_rag_system_like_anythingllm_etc_do_i/ | executor55 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwmwyh | false | null | t3_1bwmwyh | /r/LocalLLaMA/comments/1bwmwyh/if_i_use_a_rag_system_like_anythingllm_etc_do_i/ | false | false | self | 0 | null |
Summarizing chunks of text using previous chunks as context using ollama python and mistral ? | 2 | Hi, there. Currently i am looking for suggestions on how can i use chunk summaries as context for next chunks and perform a combined summary . So basically to recursively summarize chunks to get a final chunk summary. So for example lets say i have
chunk\_list = \[chunk1 , chunk2, chunk3,chunk4\] summary\_chunk1 = ol... | 2024-04-05T16:41:10 | https://www.reddit.com/r/LocalLLaMA/comments/1bwmoqq/summarizing_chunks_of_text_using_previous_chunks/ | TheAmendingMonk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwmoqq | false | null | t3_1bwmoqq | /r/LocalLLaMA/comments/1bwmoqq/summarizing_chunks_of_text_using_previous_chunks/ | false | false | self | 2 | null |
GGUF version of finetuned Mistral makes spelling mistakes - how to fix? | 3 | I've trained 7B Mistral base into a "quote" extractor from longform content. I used unsloth and a private curated dataset.
It's doing quite reasonably when I run inference as a 4-bit via unsloth. After converting to a GGUF 5\_K\_M, the quote extraction still works, and I'd say the quality is more or less on par with ... | 2024-04-05T16:30:41 | https://www.reddit.com/r/LocalLLaMA/comments/1bwmfgc/gguf_version_of_finetuned_mistral_makes_spelling/ | regstuff | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwmfgc | false | null | t3_1bwmfgc | /r/LocalLLaMA/comments/1bwmfgc/gguf_version_of_finetuned_mistral_makes_spelling/ | false | false | self | 3 | null |
Eurus suite of open source models with accompanying dataset | 7 | 2024-04-05T16:28:54 | https://github.com/OpenBMB/Eurus | throwaway2676 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1bwmdtb | false | null | t3_1bwmdtb | /r/LocalLLaMA/comments/1bwmdtb/eurus_suite_of_open_source_models_with/ | false | false | 7 | {'enabled': False, 'images': [{'id': 'b7gEeNen-vXRSvq0MD09lWvwTgLhprOyA0d884vFNx4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/VXip9MG2nXXjgHMYmT-nbksEBuacms9mm-r7vjWHWY0.jpg?width=108&crop=smart&auto=webp&s=ed1b0b3f39ac71810c3f72c4814d69706e85cdf0', 'width': 108}, {'height': 108, 'url': 'h... | ||
Can llama.cpp use GTT with ROCm as backend? | 0 | It's 2:20 in the morning and I spent all evening looking for a solution but couldn't find any. My 12G 6700 XT struggles to run anything larger than a quantized Psyfighter and I wanted to fix that, but it seemingly ignores GTT and uses only VRAM. What do I do? I use the text-generation-webui and SillyTavern as the 'fron... | 2024-04-05T16:25:27 | https://www.reddit.com/r/LocalLLaMA/comments/1bwmaq5/can_llamacpp_use_gtt_with_rocm_as_backend/ | Mangooo256 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwmaq5 | false | null | t3_1bwmaq5 | /r/LocalLLaMA/comments/1bwmaq5/can_llamacpp_use_gtt_with_rocm_as_backend/ | false | false | self | 0 | null |
Training LLMs over Neurally Compressed Text - Google DeepMind team | 29 | This research paper proposes a novel compression technique called **Equal-Info Windows**. This method involves segmenting the text into blocks that each compress to the same bit length. This allows for effective learning over neurally compressed text that improves with scale. The method outperforms byte-level baselines... | 2024-04-05T16:22:04 | https://www.reddit.com/r/LocalLLaMA/comments/1bwm7ts/training_llms_over_neurally_compressed_text/ | dippatel21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwm7ts | false | null | t3_1bwm7ts | /r/LocalLLaMA/comments/1bwm7ts/training_llms_over_neurally_compressed_text/ | false | false | self | 29 | null |
[Experiment] Recognising text from speech with Mistral-7B. Because, why not | 1 | [removed] | 2024-04-05T16:20:10 | https://www.reddit.com/r/LocalLLaMA/comments/1bwm63i/experiment_recognising_text_from_speech_with/ | ramprasad27 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bwm63i | false | null | t3_1bwm63i | /r/LocalLLaMA/comments/1bwm63i/experiment_recognising_text_from_speech_with/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'qN60TDm19ZrFSTMWPkEjzo5nc45px9P1517olDD5oq0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/h3ejiyR4UJS5f7mdMnVcxQUtVwlYyqvcUxAdJpw2glw.jpg?width=108&crop=smart&auto=webp&s=23ec9914abf5020e133c399e61a962d1f9bab9b6', 'width': 108}, {'height': 116, 'url': 'h... |
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