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Using new workstation class CPUs such emerald rapids CPUs for inferencing? | 15 | Intel recently released a new server CPU (rumored to eventually come to workstation class for cheaper) that supports 8 channels of DDR5 (around 300GB/s of bandwidth, relatively cheap to get even 256GB or even 512GB of ram), and AMX instructions for AI acceleration.
[https://www.servethehome.com/5th-gen-intel-xeon-scal... | 2023-12-21T00:29:44 | https://www.reddit.com/r/LocalLLaMA/comments/18n9qui/using_new_workstation_class_cpus_such_emerald/ | EasternBeyond | self.LocalLLaMA | 2023-12-21T00:40:06 | 0 | {} | 18n9qui | false | null | t3_18n9qui | /r/LocalLLaMA/comments/18n9qui/using_new_workstation_class_cpus_such_emerald/ | false | false | self | 15 | {'enabled': False, 'images': [{'id': 'qy3eEaUB5-TvTxSb0F_d-T0TKsscMU9sJswOKf9TJKQ', 'resolutions': [{'height': 74, 'url': 'https://external-preview.redd.it/VPy4ulrY3fRqUsVUlxZw6BrIcvDlhi0WkcLUX2gbnD8.jpg?width=108&crop=smart&auto=webp&s=2560330829db222ce1de65f46c0e93aba8a5343a', 'width': 108}, {'height': 148, 'url': 'h... |
How can I contribute to the open LLM movement? | 52 | I have decent technical skills, and am pretty good at writing/editing. I have an M3 Pro MacBook with 36GB RAM.
Is there anything I could do for 5-10 hours per week to contribute to the open LLM movement? | 2023-12-20T23:44:26 | https://www.reddit.com/r/LocalLLaMA/comments/18n8svi/how_can_i_contribute_to_the_open_llm_movement/ | DevelopmentAcademic6 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n8svi | false | null | t3_18n8svi | /r/LocalLLaMA/comments/18n8svi/how_can_i_contribute_to_the_open_llm_movement/ | false | false | self | 52 | null |
Insight into the Role of Attention in LLMs | 10 | Hey there, LLM enthusiasts!
While we often dive deep into model distribution and hardware specifics in this sub, I recently had an 'aha' moment while experimenting that I'm eager to share.
We often hear about 'attention' in LLMs, but what does it really do? I've come to think of it as the magic that weaves words toge... | 2023-12-20T23:40:52 | https://www.reddit.com/r/LocalLLaMA/comments/18n8q2p/insight_into_the_role_of_attention_in_llms/ | Revolutionalredstone | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n8q2p | false | null | t3_18n8q2p | /r/LocalLLaMA/comments/18n8q2p/insight_into_the_role_of_attention_in_llms/ | false | false | self | 10 | null |
Fireworks.ai releases function calling model and API | 12 | 2023-12-20T23:39:06 | https://blog.fireworks.ai/fireworks-raises-the-quality-bar-with-function-calling-model-and-api-release-e7f49d1e98e9 | fireworks_anon | blog.fireworks.ai | 1970-01-01T00:00:00 | 0 | {} | 18n8omc | false | null | t3_18n8omc | /r/LocalLLaMA/comments/18n8omc/fireworksai_releases_function_calling_model_and/ | false | false | 12 | {'enabled': False, 'images': [{'id': 'Kc3narJZtgXX6rBjc1Gc_KGsTgaLewAc-A0pchcGocE', 'resolutions': [{'height': 20, 'url': 'https://external-preview.redd.it/x9fYym5IG59K-1HkiNbsuYvI5RIfwA2eFL-HrFsOgBA.jpg?width=108&crop=smart&auto=webp&s=f3e5d4f34e21c3fbd075b5dd90d68eba4b029f0f', 'width': 108}, {'height': 41, 'url': 'ht... | ||
Microsoft's Prompt engineering techniques | 44 | 2023-12-20T23:33:53 | https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions | StewArtMedia_Nick | learn.microsoft.com | 1970-01-01T00:00:00 | 0 | {} | 18n8kiz | false | null | t3_18n8kiz | /r/LocalLLaMA/comments/18n8kiz/microsofts_prompt_engineering_techniques/ | false | false | 44 | {'enabled': False, 'images': [{'id': 'RCFh0Kid3SAqWEkALMGNW1e9Vu6ayZpftekoayP00hY', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/CcTKId6ti1J-bMqj-jlWVD1tyE1LbM9FagmfDfaIVmQ.jpg?width=108&crop=smart&auto=webp&s=b3881e36da92b82c6947f6ca4ff3804ca47f2aea', 'width': 108}, {'height': 113, 'url': 'h... | ||
Career transitioning to local LLMs | 3 | I’m an Electrical Engineer and Programmer/web dev by trade, do a bit of SaaS too, and currently making an AI SaaS tool (it’s a Ai wrapper but it’s in a niche, hasn’t been done in this space yet)
I think software careers will transition, and I want to get ahead of the curve, I want to learn how to manage, train, and te... | 2023-12-20T23:14:03 | https://www.reddit.com/r/LocalLLaMA/comments/18n84u5/career_transitioning_to_local_llms/ | Putrid-Tough4558 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n84u5 | false | null | t3_18n84u5 | /r/LocalLLaMA/comments/18n84u5/career_transitioning_to_local_llms/ | false | false | self | 3 | null |
If all goes well, I will release open source offline note app with llama.cpp backend | 1 | [removed] | 2023-12-20T22:56:54 | https://www.reddit.com/r/LocalLLaMA/comments/18n7qu1/if_all_goes_well_i_will_release_open_source/ | adel_b | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n7qu1 | false | null | t3_18n7qu1 | /r/LocalLLaMA/comments/18n7qu1/if_all_goes_well_i_will_release_open_source/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'svvM2JRakfyljp_T_QZqWvkg6nabcv58y70nHQR3RVs', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/CjBQIXnC87bRJScAmKUndopTFoiXCE-koFmrOpuXO4I.jpg?width=108&crop=smart&auto=webp&s=b9772de63242872def8b82ff1aa09ba94ef8cba3', 'width': 108}, {'height': 123, 'url': 'h... |
Does LLM still hallucinate with rag? | 1 | [removed] | 2023-12-20T22:48:43 | https://www.reddit.com/r/LocalLLaMA/comments/18n7ke2/does_llm_still_hallucinate_with_rag/ | Puzzleheaded_Acadia1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n7ke2 | false | null | t3_18n7ke2 | /r/LocalLLaMA/comments/18n7ke2/does_llm_still_hallucinate_with_rag/ | false | false | self | 1 | null |
Local LLM with web access | 12 | Hi, I was wondering if there was any guide to give your local LLMs access to search the web and use that information like chat gpt uses bing. | 2023-12-20T22:47:46 | https://www.reddit.com/r/LocalLLaMA/comments/18n7jmv/local_llm_with_web_access/ | jbsan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n7jmv | false | null | t3_18n7jmv | /r/LocalLLaMA/comments/18n7jmv/local_llm_with_web_access/ | false | false | self | 12 | null |
best dataset for instruct fine-tuning? | 7 | since no one seems to be working on this i figured i’d try my hand at fine tuning phi-2 as the chat completion model is pretty useless for most use case.
as I understand qLora is still the way to go but how about datasets? are there any open source? | 2023-12-20T22:29:08 | https://www.reddit.com/r/LocalLLaMA/comments/18n74kh/best_dataset_for_instruct_finetuning/ | LyPreto | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n74kh | false | null | t3_18n74kh | /r/LocalLLaMA/comments/18n74kh/best_dataset_for_instruct_finetuning/ | false | false | self | 7 | null |
How can I download weights (llama.cpp)? | 1 | Hello, total beginner here. I'm sorry if this is a dumb question. I'm trying to download the Mixtral model from this link ([https://huggingface.co/mistralai/Mixtral-8x7B-v0.1/tree/main](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1/tree/main)) to run it with llama.cpp. I'm really confused as to what the actual wei... | 2023-12-20T22:18:02 | https://www.reddit.com/r/LocalLLaMA/comments/18n6vfu/how_can_i_download_weights_llamacpp/ | ThousandthStar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n6vfu | false | null | t3_18n6vfu | /r/LocalLLaMA/comments/18n6vfu/how_can_i_download_weights_llamacpp/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'CkOAaQsWIHHCboqd_f8Ion5_S4rDX-PNpvgXvzWgOMk', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/Lygx3uMu10olRbA3qHvPAXr9qK4MCyhuGHBCbozd95Y.jpg?width=108&crop=smart&auto=webp&s=669af07c54cdf5ccfa77ff741d052688dce2639d', 'width': 108}, {'height': 116, 'url': 'h... |
A Map Of The AI Industry | 35 | I'm trying to come up with a mental map of what all the category verticals are in AI, along with the biggest companies / products in those verticals.
So far, the best one I've found was from Sequoia ([https://www.sequoiacap.com/wp-content/uploads/sites/6/2023/09/generative-ai-market-map-3.png](https://www.sequoiacap.c... | 2023-12-20T22:03:45 | https://www.reddit.com/r/LocalLLaMA/comments/18n6jro/a_map_of_the_ai_industry/ | AttorneyJackKelly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n6jro | false | null | t3_18n6jro | /r/LocalLLaMA/comments/18n6jro/a_map_of_the_ai_industry/ | false | false | self | 35 | {'enabled': False, 'images': [{'id': 'kAINnzZ_FxB-ormwetUnK9QxtpjsbdbGGgwS7CJXi7g', 'resolutions': [{'height': 144, 'url': 'https://external-preview.redd.it/CZlw1ksRK9MrwDiJw3vSvfOYMdIIpUYQLfDGI5hLmC8.png?width=108&crop=smart&auto=webp&s=9c354fcb787d3727013ba6975e65961e3b500b6e', 'width': 108}, {'height': 288, 'url': '... |
I've searched the sub, no luck. Has anyone solved the "is this really a GGML file?" issue in llama.cpp? | 1 | [removed] | 2023-12-20T21:42:46 | https://www.reddit.com/r/LocalLLaMA/comments/18n62dn/ive_searched_the_sub_no_luck_has_anyone_solved/ | Ok-Training-7587 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n62dn | false | null | t3_18n62dn | /r/LocalLLaMA/comments/18n62dn/ive_searched_the_sub_no_luck_has_anyone_solved/ | false | false | self | 1 | null |
Discussion - Frameworks vs Proxies for AI | 1 | [removed] | 2023-12-20T20:37:32 | https://www.reddit.com/r/LocalLLaMA/comments/18n4khb/discussion_frameworks_vs_proxies_for_ai/ | InevitableSky2801 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n4khb | false | null | t3_18n4khb | /r/LocalLLaMA/comments/18n4khb/discussion_frameworks_vs_proxies_for_ai/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '3NcYUfsB2YXL8WNCkErZHN3PdctvlSh7hoiHfpWMWK0', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/RGUHZ__vdfaIkWEWC0GuSQoC02Ru6xtVLr9dxJ-FP3Q.jpg?width=108&crop=smart&auto=webp&s=94be6374a34b5fc8f0877e2ba4e9f4720af149b5', 'width': 108}, {'height': 113, 'url': 'h... |
Training model on a set of workplace stabdards, and checking future documents to make sure those standards are met | 4 | Hello!
I've been searching around in circles for hours now and can't find a answer to this, so hopefully someone point me in the right direction. I recently got privateGPT working, feeding it PDFs and being able to pull out summaries and analysis that looks great. What I'm trying to do now is do a step further and tra... | 2023-12-20T20:24:45 | https://www.reddit.com/r/LocalLLaMA/comments/18n49sv/training_model_on_a_set_of_workplace_stabdards/ | vyralsurfer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n49sv | false | null | t3_18n49sv | /r/LocalLLaMA/comments/18n49sv/training_model_on_a_set_of_workplace_stabdards/ | false | false | self | 4 | null |
HF AutoTokenizer and EOS/BOS tokens for fine tuning | 1 | [removed] | 2023-12-20T20:19:40 | https://www.reddit.com/r/LocalLLaMA/comments/18n45lz/hf_autotokenizer_and_eosbos_tokens_for_fine_tuning/ | cdreetz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n45lz | false | null | t3_18n45lz | /r/LocalLLaMA/comments/18n45lz/hf_autotokenizer_and_eosbos_tokens_for_fine_tuning/ | false | false | self | 1 | null |
HF AutoTokenizer and EOS/BOS tokens for fine tuning | 1 | [removed] | 2023-12-20T20:18:13 | https://www.reddit.com/r/LocalLLaMA/comments/18n44ed/hf_autotokenizer_and_eosbos_tokens_for_fine_tuning/ | cdreetz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n44ed | false | null | t3_18n44ed | /r/LocalLLaMA/comments/18n44ed/hf_autotokenizer_and_eosbos_tokens_for_fine_tuning/ | false | false | self | 1 | null |
"Nethena-MLewd-Xwin" assistance | 2 | I've been using Nethena-MLewd-Xwin for a while and its the best model (in my opinion) that I can run, however recently I've gone through the process of updating Oobabooga, what I use to run it. After the update I noticed that I'm unable to successfully deploy it. I get [this error](https://imgur.com/a/lVUSIea).
I unf... | 2023-12-20T20:17:47 | https://www.reddit.com/r/LocalLLaMA/comments/18n441k/nethenamlewdxwin_assistance/ | IZA_does_the_art | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n441k | false | null | t3_18n441k | /r/LocalLLaMA/comments/18n441k/nethenamlewdxwin_assistance/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'LxOcetGBhgNg_yEk2zaVP78_K3fl7fD3FPUkyRQ0mpE', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/zdwJJnhHeaswLOPlOd12Dusc0UEX1GoYhPFtxnuGRSw.jpg?width=108&crop=smart&auto=webp&s=a6a1d3c40b43e14f1b624b0600b71501cdc8f6ce', 'width': 108}, {'height': 163, 'url': 'h... |
Raw Text Training for Mistral 7B? | 1 | [removed] | 2023-12-20T20:10:18 | https://www.reddit.com/r/LocalLLaMA/comments/18n3xrk/raw_text_training_for_mistral_7b/ | Monochrome21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n3xrk | false | null | t3_18n3xrk | /r/LocalLLaMA/comments/18n3xrk/raw_text_training_for_mistral_7b/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '_EzSAy5ohFplZxSUfW8YjIOR3mc4jpEFy2jw9ijDBxw', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/EV42sTlsXFDu1i4kzx8iQoMXPApyTNJVyi9M-52fm6s.jpg?width=108&crop=smart&auto=webp&s=55b54523c4eee9f3b3be0c7cac62921c9332c3d8', 'width': 108}, {'height': 162, 'url': 'h... |
Generalization in Deep Reinforcement Learning | 3 | Adversarial Attacks, Robustness and Generalization in Deep Reinforcement Learning
[https://twitter.com/UCLSTEaPP/status/1737491297076675045](https://twitter.com/UCLSTEaPP/status/1737491297076675045) | 2023-12-20T19:43:17 | https://www.reddit.com/r/LocalLLaMA/comments/18n3b03/generalization_in_deep_reinforcement_learning/ | ml_dnn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n3b03 | false | null | t3_18n3b03 | /r/LocalLLaMA/comments/18n3b03/generalization_in_deep_reinforcement_learning/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': '9OswFqSSj-vIDOj1J7fiwGF348k_AmqLeiuxq2t0DSM', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/iuvIektsEPQgnufWubN4xGCwnoJQPwjKoQlXJNG8x5Q.jpg?width=108&crop=smart&auto=webp&s=cbf04c8902f4dddd6d8ef618b7b3bdab0846e254', 'width': 108}], 'source': {'height': 14... |
Karpathy on LLM evals | 1,133 | What do you think? | 2023-12-20T19:42:58 | deykus | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18n3ar3 | false | null | t3_18n3ar3 | /r/LocalLLaMA/comments/18n3ar3/karpathy_on_llm_evals/ | false | false | 1,133 | {'enabled': True, 'images': [{'id': 'x5j-IstjxADJPvbprVspPeQ16_BsUx8Wou5sC6cRga0', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/8g0zoors6i7c1.jpeg?width=108&crop=smart&auto=webp&s=3560b860f27047217b68aec52bf97ebf1fcefcaa', 'width': 108}, {'height': 112, 'url': 'https://preview.redd.it/8g0zoors6i7c1.jp... | ||
Rtx 4090 vs Dual Rtx 3090 (nvlink) | 6 | Hi there. I'm new here so I apologize if I break any rules. I have a pretty involved question so I'll try to keep this brief. I'm taking deep learning courses at my college for a cs masters. Our professor gave us the option of doing the coursework through the cloud/rent a gpu service supplied by the university. Or we c... | 2023-12-20T19:39:28 | https://www.reddit.com/r/LocalLLaMA/comments/18n37sb/rtx_4090_vs_dual_rtx_3090_nvlink/ | Any-Cobbler6161 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n37sb | false | null | t3_18n37sb | /r/LocalLLaMA/comments/18n37sb/rtx_4090_vs_dual_rtx_3090_nvlink/ | false | false | self | 6 | null |
NVIDIA A100 GPUs: A Cost and Availability Analysis | 1 | 2023-12-20T19:18:21 | https://www.shadeform.ai/blog/nvidia-a100?utm_source=reddit&utm_medium=social&utm_campaign=a100_blog | edsgoode | shadeform.ai | 1970-01-01T00:00:00 | 0 | {} | 18n2qbz | false | null | t3_18n2qbz | /r/LocalLLaMA/comments/18n2qbz/nvidia_a100_gpus_a_cost_and_availability_analysis/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'deoYlXtsCFUI1ewu13PgFnHi8uSLD6Jiru6qjWzfwgM', 'resolutions': [{'height': 63, 'url': 'https://external-preview.redd.it/kKQtXlYsKwOhF6JVuyy09cXQCUuqPEZHtxsW7gO2Q_c.jpg?width=108&crop=smart&auto=webp&s=b062f7772e00af822d7dd465bda7688cf8bce31e', 'width': 108}, {'height': 127, 'url': 'h... | ||
Seeking Solutions to Run Dolphin-Mixtral 8x7b in a Chat UI – Paid Options Welcome | 3 | Hello r/LocalLLAMA,
I’ve been on a quest to find a way to use the Dolphin-Mixtral 8x7b model in a continuous chat-style interface. I understand that platforms like Replicate allow interaction with the model, and Ollama offers a local download, but neither provides the seamless chatting experience I’m looking for.
Run... | 2023-12-20T19:18:06 | https://www.reddit.com/r/LocalLLaMA/comments/18n2q51/seeking_solutions_to_run_dolphinmixtral_8x7b_in_a/ | qubitser | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n2q51 | false | null | t3_18n2q51 | /r/LocalLLaMA/comments/18n2q51/seeking_solutions_to_run_dolphinmixtral_8x7b_in_a/ | false | false | self | 3 | null |
NVIDIA A100 GPUs: A Cost and Availability Analysis | 1 | 2023-12-20T19:17:08 | https://www.shadeform.ai/blog/nvidia-a100?utm_source=reddit&utm_medium=social&utm_campaign=a100_blog | edsgoode | shadeform.ai | 1970-01-01T00:00:00 | 0 | {} | 18n2pc4 | false | null | t3_18n2pc4 | /r/LocalLLaMA/comments/18n2pc4/nvidia_a100_gpus_a_cost_and_availability_analysis/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'deoYlXtsCFUI1ewu13PgFnHi8uSLD6Jiru6qjWzfwgM', 'resolutions': [{'height': 63, 'url': 'https://external-preview.redd.it/kKQtXlYsKwOhF6JVuyy09cXQCUuqPEZHtxsW7gO2Q_c.jpg?width=108&crop=smart&auto=webp&s=b062f7772e00af822d7dd465bda7688cf8bce31e', 'width': 108}, {'height': 127, 'url': 'h... | ||
llama.cpp updated: up to 5.8x higher GPU t/s performance increase for Mixtral (GGUF) | 77 | 2023-12-20T19:04:10 | https://github.com/ggerganov/llama.cpp/pull/4538 | Trojaner | github.com | 1970-01-01T00:00:00 | 0 | {} | 18n2e52 | false | null | t3_18n2e52 | /r/LocalLLaMA/comments/18n2e52/llamacpp_updated_up_to_58x_higher_gpu_ts/ | false | false | 77 | {'enabled': False, 'images': [{'id': 'jwNNpdxj7uCAwQoyprqdnDrQinklD6hpYdPOB5LBxMs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/EQweq-MJagQ3TRwcpz5LpxIFHysJkiGLpvP4EZmVVMw.jpg?width=108&crop=smart&auto=webp&s=d96e4f350a4274d4b15580b0123bd5505cbe2adf', 'width': 108}, {'height': 108, 'url': 'h... | ||
I will do the fine-tuning for you, or here's my DIY guide | 273 | **Struggling with AI model fine-tuning? I can help.**
>**Disclaimer:** *I'm an AI enthusiast and practitioner and very much a beginner still, not a trained expert. My learning comes from experimentation and community learning, especially from this subreddit. You might recognize me from my previous posts here. The p... | 2023-12-20T19:01:36 | https://www.reddit.com/r/LocalLLaMA/comments/18n2bwu/i_will_do_the_finetuning_for_you_or_heres_my_diy/ | phoneixAdi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n2bwu | false | null | t3_18n2bwu | /r/LocalLLaMA/comments/18n2bwu/i_will_do_the_finetuning_for_you_or_heres_my_diy/ | false | false | self | 273 | null |
LLM on M1 MacBook Air (8gb Ram) | 1 | I am new to all this Large Language Model running locally so can someone help me a bit here. Whats the best way to run a model on a M1 Mac. I tried running mistral using ollama but it would take ages for an answer to be generated. Thanks | 2023-12-20T18:29:17 | https://www.reddit.com/r/LocalLLaMA/comments/18n1juo/llm_on_m1_macbook_air_8gb_ram/ | Ndh4k4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n1juo | false | null | t3_18n1juo | /r/LocalLLaMA/comments/18n1juo/llm_on_m1_macbook_air_8gb_ram/ | false | false | self | 1 | null |
10 commandments for AI | 1 | I was testing out Mixtral instruct in my local and asked it to create 10 commandments for AI. The response was absolutely hilarious at the same time thought provoking... What do you think? | 2023-12-20T18:27:17 | AstrionX | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18n1i3u | false | null | t3_18n1i3u | /r/LocalLLaMA/comments/18n1i3u/10_commandments_for_ai/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'hDiX8oTugqdYviGtQz3kFccoG8q1yMjqfeieg2uys9k', 'resolutions': [{'height': 144, 'url': 'https://preview.redd.it/u0xmu6cath7c1.jpeg?width=108&crop=smart&auto=webp&s=b2248f8bb5015fc6efe85c6a222f4521f2220a47', 'width': 108}, {'height': 288, 'url': 'https://preview.redd.it/u0xmu6cath7c1.j... | ||
GPU recommendation for automatic speech recognition | 1 | Hi!
I read a lot of redditers shared their local setup to run edge inference and it's great setup. I admire all of your efforts and interests.
I'm new to this and have to work with a fixed budget so looking for recommendation on GPU:
Is AMD Radeon RX 7900XT a good card or should I consider 2 RTX3060 12GB cards?
&#x... | 2023-12-20T18:24:21 | https://www.reddit.com/r/LocalLLaMA/comments/18n1fio/gpu_recommendation_for_automatic_speech/ | dummy_who_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n1fio | false | null | t3_18n1fio | /r/LocalLLaMA/comments/18n1fio/gpu_recommendation_for_automatic_speech/ | false | false | self | 1 | null |
Seeking Advice: Building a High-Performance PC for AI Inference and Gaming | 5 |
Hello, fellow PC and NLP enthusiasts! I'm a Privacy Research Scientist specializing in AI, working at a deep tech company. Currently, I have access to multiple A100 GPUs at work, but I'm looking to build my own powerhouse at home.
My primary goal is to set up a machine capable of efficient local inference for vario... | 2023-12-20T18:16:25 | https://www.reddit.com/r/LocalLLaMA/comments/18n18ff/seeking_advice_building_a_highperformance_pc_for/ | susmitds | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n18ff | false | null | t3_18n18ff | /r/LocalLLaMA/comments/18n18ff/seeking_advice_building_a_highperformance_pc_for/ | false | false | self | 5 | null |
Prompts for categorizing blocks of text? | 6 | Does anyone know any good prompts for sorting blocks of unstructured text into defined categories?
For example, I'm using Python to go through all of my saved Reddit posts, detect which ones are related to machine learning/AI, and tag them so that I can store them in a database for RAG purposes. Does anyone have any e... | 2023-12-20T18:02:23 | https://www.reddit.com/r/LocalLLaMA/comments/18n0vr1/prompts_for_categorizing_blocks_of_text/ | ishtarcrab | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n0vr1 | false | null | t3_18n0vr1 | /r/LocalLLaMA/comments/18n0vr1/prompts_for_categorizing_blocks_of_text/ | false | false | self | 6 | null |
h2ogpt on CPU: any experience on how long embeddings creation will take? | 4 | Newbie question: I've installed h2ogpt on my mini pc (64G RAM, AMD Ryzen 5500U) and have run the 'generate.py' command in miniconda shell, CPU use only. CPU usage is currently \~30% for running python scripts, and has been at this rate for about 75 minutes so far.
The local data is 183 PDFs of academic journal article... | 2023-12-20T17:47:39 | https://www.reddit.com/r/LocalLLaMA/comments/18n0igo/h2ogpt_on_cpu_any_experience_on_how_long/ | tarasoraptor | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n0igo | false | null | t3_18n0igo | /r/LocalLLaMA/comments/18n0igo/h2ogpt_on_cpu_any_experience_on_how_long/ | false | false | self | 4 | null |
Building cost-effective Generative AI applications | 2 | Hi everyone,
I would like to share a blog post with you all that discusses the challenges of leveraging AI models for building AI-driven applications, focusing on the rising costs of running these models.
In the blog, we delve into how rate limiting and caching can help reduce the operational costs of AI models by... | 2023-12-20T17:44:13 | https://www.reddit.com/r/LocalLLaMA/comments/18n0fdw/building_costeffective_generative_ai_applications/ | tuscan-ninja | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18n0fdw | false | null | t3_18n0fdw | /r/LocalLLaMA/comments/18n0fdw/building_costeffective_generative_ai_applications/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'N11IvJiakJjDjnrE0iuD-xfXzSH35lpT4IUz-IcyGzQ', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/GWrARstOwFvQqDsXsyjRWGGX29fsUM4tpS-w3dDRx1k.jpg?width=108&crop=smart&auto=webp&s=05274294cd3869000ff152320fe9fc65fd37fcb4', 'width': 108}, {'height': 123, 'url': 'h... |
IFEval looks like a great benchmark for how AI Engineers would use LLMs. Here's a notebook showing how to use it. | 6 | 2023-12-20T17:40:31 | https://colab.research.google.com/drive/1UFBWOUbUUAHTf7ilCGhPtGDMDeYXrJzt | datascienceharp | colab.research.google.com | 1970-01-01T00:00:00 | 0 | {} | 18n0c3x | false | null | t3_18n0c3x | /r/LocalLLaMA/comments/18n0c3x/ifeval_looks_like_a_great_benchmark_for_how_ai/ | false | false | 6 | {'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': '... | ||
LM Studio not adhering to n_predict (amount of words to generate) | 3 | I am trying to generate longer outputs from Mixtral, but it doesn't seem to listen to the settings I give it. I want to get around 4000 words, but it always stops around 2000 tokens, even though I have spare RAM. I set n\_predict to 4000 and also tried asking for 4000 words in system prompt and normal prompt, nothing w... | 2023-12-20T17:24:13 | https://www.reddit.com/r/LocalLLaMA/comments/18mzxt0/lm_studio_not_adhering_to_n_predict_amount_of/ | Schmackofatzke | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mzxt0 | false | null | t3_18mzxt0 | /r/LocalLLaMA/comments/18mzxt0/lm_studio_not_adhering_to_n_predict_amount_of/ | false | false | self | 3 | null |
MLX Models on Hugging Face | 12 | 2023-12-20T17:13:39 | https://x.com/awnihannun/status/1737510739987120248?s=46&t=BVhfPLwVzzqRJOcJ7VU3tw | Hinged31 | x.com | 1970-01-01T00:00:00 | 0 | {} | 18mzogl | false | null | t3_18mzogl | /r/LocalLLaMA/comments/18mzogl/mlx_models_on_hugging_face/ | false | false | 12 | {'enabled': False, 'images': [{'id': 'Pu0dp2N6CvF3d4ucFcm4KWZw-rQy2Flz3R1A-Iv1ugA', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/_0kEEddKt5iagUtS8McdOM1NV_hCqdGGf6ZKe1ETFKQ.jpg?width=108&crop=smart&auto=webp&s=b19c082e314356acc1d174e11dcf430cb20798e8', 'width': 108}], 'source': {'height': 20... | ||
Mistral Instruct Fine-Tuning Problem | 2 | Hello, I'm new to instruction and fine-tuning. I'm encountering an issue with my fine-tuned Mistral Instruct model (using mistralai/Mistral-7B-Instruct-v0.1). The output appear in a certain way, and I'm unsure if this is due to the dataset I'm using or if it's related to the instructions for the llm. I'm using [know\_... | 2023-12-20T17:02:30 | https://www.reddit.com/r/LocalLLaMA/comments/18mzerf/mistral_instruct_finetuning_problem/ | laveriaroha | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mzerf | false | null | t3_18mzerf | /r/LocalLLaMA/comments/18mzerf/mistral_instruct_finetuning_problem/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'mOp8-lANRfB0z5npPUKQKv_cP7iMesp7ePsPn-lVMxQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/rUnqh1iTnLoKQGg8PfNgEEzxpReimQeH8iSHopCk25U.jpg?width=108&crop=smart&auto=webp&s=c71c53391f6a08f7b721445fd4c760ebc7da905e', 'width': 108}, {'height': 116, 'url': 'h... |
Pressure testing: Open LLMs | 43 | You might recall the \[GPT-4\]([https://twitter.com/GregKamradt/status/1722386725635580292](https://twitter.com/GregKamradt/status/1722386725635580292)) and \[Claude 2\]([https://twitter.com/GregKamradt/status/1727018183608193393](https://twitter.com/GregKamradt/status/1727018183608193393)) long context recall tests th... | 2023-12-20T17:00:17 | https://www.reddit.com/r/LocalLLaMA/comments/18mzchg/pressure_testing_open_llms/ | TelloLeEngineer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mzchg | false | null | t3_18mzchg | /r/LocalLLaMA/comments/18mzchg/pressure_testing_open_llms/ | false | false | 43 | {'enabled': False, 'images': [{'id': 'IoT0s6tjXE3aOsEkW4indDUmrC74ki_Fz3SI5GJktkU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/GqNLMBqKNQkV6iclmQ3oi6ZSbHsEZiESTWQR-rZsOUY.jpg?width=108&crop=smart&auto=webp&s=6f8fd85469dc8b95aa3e5ab0890e8d995dc0626c', 'width': 108}, {'height': 108, 'url': 'h... | |
Do not ask orca 2 to write a typical reddit ragebait post | 1 | Wrote this once already but it did not show up I guess due to words I used. But anyway, yes, Orca 2 seems to be very explicit if you ask it to write reddit ragebait post. I thought Orca 2 was sort of censored model? It was not in the instance I tried with llama.cpp | 2023-12-20T16:05:28 | https://www.reddit.com/r/LocalLLaMA/comments/18my2z2/do_not_ask_orca_2_to_write_a_typical_reddit/ | aluode | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18my2z2 | false | null | t3_18my2z2 | /r/LocalLLaMA/comments/18my2z2/do_not_ask_orca_2_to_write_a_typical_reddit/ | false | false | self | 1 | null |
Training a model with my own data | 1 | I'm using ollama to run my models. I want to use the mistral model, but create a lora to act as an assistant that primarily references data I've supplied during training. This data will include things like test procedures, diagnostics help, and general process flows for what to do in different scenarios. I downloaded a... | 2023-12-20T15:55:57 | https://www.reddit.com/r/LocalLLaMA/comments/18mxuq0/training_a_model_with_my_own_data/ | RidesFlysAndVibes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mxuq0 | false | null | t3_18mxuq0 | /r/LocalLLaMA/comments/18mxuq0/training_a_model_with_my_own_data/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'krjt_5uhqcaDfYjfO7lkezThehav9cAIRJgcK-OKAmM', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/s0D7i4Rco0trWh9Bu1uEkgnoJJLA3UNKUA9vs57seII.jpg?width=108&crop=smart&auto=webp&s=53486800d92d75b19d59502534fa9ba2785c14b0', 'width': 108}, {'height': 113, 'url': 'h... |
Need help in asding context awareness to LLM RAG pipeline | 7 | Hello all,
I want to add context awareness to my LLM RAG pipeline. Here are 2 approaches I am thinking of. Please help me if I am going in the right direction, and also what should be the ideal approach :
Approach 1 :
Step 1. Use an LLM to do co reference resolution in the new query, based on immediate last convers... | 2023-12-20T15:40:46 | https://www.reddit.com/r/LocalLLaMA/comments/18mxi7d/need_help_in_asding_context_awareness_to_llm_rag/ | Impressive_Gate2102 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mxi7d | false | null | t3_18mxi7d | /r/LocalLLaMA/comments/18mxi7d/need_help_in_asding_context_awareness_to_llm_rag/ | false | false | self | 7 | null |
Pressure Testing: Open LLMs | 1 | You might recall the [GPT-4](https://twitter.com/GregKamradt/status/1722386725635580292) and [Claude 2](https://twitter.com/GregKamradt/status/1727018183608193393) long context recall tests that were floating around Twitter about a month or so ago. Well, I was very intrigued by the results and am here to share an ongoi... | 2023-12-20T15:40:45 | https://www.reddit.com/r/LocalLLaMA/comments/18mxi71/pressure_testing_open_llms/ | TelloLeEngineer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mxi71 | false | {'oembed': {'author_name': 'Greg Kamradt', 'author_url': 'https://twitter.com/GregKamradt', 'cache_age': 3153600000, 'height': None, 'html': '<blockquote class="twitter-video"><p lang="en" dir="ltr">Pressure Testing GPT-4-128K With Long Context Recall<br><br>128K tokens of context is awesome - but what's performanc... | t3_18mxi71 | /r/LocalLLaMA/comments/18mxi71/pressure_testing_open_llms/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'ymU6YX_LHVJfaun7NAOa91DelnsTFGnDzZWqRSjSd4U', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/kQmRHC1FSkwCzZAeppncbozkxAY9vBYDmfL2nz9w7g0.jpg?width=108&crop=smart&auto=webp&s=a35f25e7df63b0f56c89ba653f84fe28a8b9871c', 'width': 108}], 'source': {'height': 73,... | |
SJTU-IPADS/PowerInfer: High-speed Large Language Model Serving on PCs with Consumer-grade GPUs | 117 | Abstract
We introduce PowerInfer, a high-speed Large Language Model (LLM) inference engine on a personal computer (PC) equipped with a single consumer-grade GPU. The key underlying the design of PowerInfer is exploiting the high locality inherent in LLM inference, characterized by a power-law distribution in neuron ac... | 2023-12-20T15:36:12 | https://github.com/SJTU-IPADS/PowerInfer | alchemist1e9 | github.com | 1970-01-01T00:00:00 | 0 | {} | 18mxefa | false | null | t3_18mxefa | /r/LocalLLaMA/comments/18mxefa/sjtuipadspowerinfer_highspeed_large_language/ | false | false | 117 | {'enabled': False, 'images': [{'id': 'GRSs8mzfWIMNc4kAZlQg25hwQm3iLPKcUOfqneN2qdQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ZR0kQQW8nMpHvK7IZEDXmo0ECPcBmADHHDT7Sl66yfQ.jpg?width=108&crop=smart&auto=webp&s=15f7b4267fbd23b262aa04c970a582203f1f38ed', 'width': 108}, {'height': 108, 'url': 'h... | |
Pressure Testing: Open LLMs | 1 | 2023-12-20T15:30:34 | https://github.com/LeonEricsson/llmcontext | TelloLeEngineer | github.com | 1970-01-01T00:00:00 | 0 | {} | 18mx9pa | false | null | t3_18mx9pa | /r/LocalLLaMA/comments/18mx9pa/pressure_testing_open_llms/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'IoT0s6tjXE3aOsEkW4indDUmrC74ki_Fz3SI5GJktkU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/GqNLMBqKNQkV6iclmQ3oi6ZSbHsEZiESTWQR-rZsOUY.jpg?width=108&crop=smart&auto=webp&s=6f8fd85469dc8b95aa3e5ab0890e8d995dc0626c', 'width': 108}, {'height': 108, 'url': 'h... | ||
Recommended hardware (Windows or Linux)? | 10 | Hello,
I currently own i7-6700 with 16GB and RTX 2070 with 8GB
I was able to run some gguf models with good speed
I should upgrade my PC soon and I am trying to do research related to AI requirements
Looks like nVidia is carefully trying not to give us memory, so even card with 24GB are ultra premium priced and card... | 2023-12-20T15:11:30 | https://www.reddit.com/r/LocalLLaMA/comments/18mwtqf/recommended_hardware_windows_or_linux/ | jacek2023 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mwtqf | false | null | t3_18mwtqf | /r/LocalLLaMA/comments/18mwtqf/recommended_hardware_windows_or_linux/ | false | false | self | 10 | null |
how is the scene currently ? | 8 | so i'm pretty familiar with the open source image generation scene , but i know nearly nothing about text generation or any of the major events recently , can someone please summarize what's happening currently or what major events happened in the last few months ? thanks | 2023-12-20T14:51:29 | https://www.reddit.com/r/LocalLLaMA/comments/18mwd6j/how_is_the_scene_currently/ | FindingSea3777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mwd6j | false | null | t3_18mwd6j | /r/LocalLLaMA/comments/18mwd6j/how_is_the_scene_currently/ | false | false | self | 8 | null |
Does increasing context length require more memory, or does it just slow down processing? | 20 | For context, I'm running a 13B model on an RTX 3080 with 10GB VRAM and 39 GPU layers, and I'm getting 10 T/s at 2048 context length. I'm considering trying out 4096 context length: will this just make the model slower (and hopefully smarter), or will I need to fiddle with GPU layers some more? | 2023-12-20T14:09:00 | https://www.reddit.com/r/LocalLLaMA/comments/18mvfsu/does_increasing_context_length_require_more/ | RomulanLurkingDevice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mvfsu | false | null | t3_18mvfsu | /r/LocalLLaMA/comments/18mvfsu/does_increasing_context_length_require_more/ | false | false | self | 20 | null |
Perplexity isn’t everything! : A real world example of Mixtral with variable experts. | 1 | [removed] | 2023-12-20T13:59:15 | https://medium.com/@nivibilla/perplexity-isnt-everything-a-real-world-example-of-mixtral-with-variable-experts-6cfeb8d12183?source=friends_link&sk=2eb493e1de5530e876c582785b5b7340 | Eastwindy123 | medium.com | 1970-01-01T00:00:00 | 0 | {} | 18mv86c | false | null | t3_18mv86c | /r/LocalLLaMA/comments/18mv86c/perplexity_isnt_everything_a_real_world_example/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'dCmQfuQBoMke8LO9La5qVQzWPJXIkIOYHxNTKvzyRZE', 'resolutions': [{'height': 50, 'url': 'https://external-preview.redd.it/f9lF6-0pUsg3tXn-y4cVL4I2DF_IavAluTnLtyaq47Q.jpg?width=108&crop=smart&auto=webp&s=e6f38857ce56cc5e142d9ced866b74e9c05ea879', 'width': 108}, {'height': 100, 'url': 'h... | |
Dumb question? Mixtral in onnx format. | 5 | Hello all - first post here so I thought I'd start with a dumb question!
I'm looking into using mixtral for semantic search in typesense. First off: is that a good idea or are there better open models out there for that purpose?
For that to work they require the model to be in onnx format. If I understand correctly,... | 2023-12-20T13:50:28 | https://www.reddit.com/r/LocalLLaMA/comments/18mv1l8/dumb_question_mixtral_in_onnx_format/ | pierredugland | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mv1l8 | false | null | t3_18mv1l8 | /r/LocalLLaMA/comments/18mv1l8/dumb_question_mixtral_in_onnx_format/ | false | false | self | 5 | null |
Do not ask orca 2 to write a typical reddit ragebait post | 1 | [removed] | 2023-12-20T13:46:49 | https://www.reddit.com/r/LocalLLaMA/comments/18muyub/do_not_ask_orca_2_to_write_a_typical_reddit/ | aluode | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18muyub | false | null | t3_18muyub | /r/LocalLLaMA/comments/18muyub/do_not_ask_orca_2_to_write_a_typical_reddit/ | false | false | self | 1 | null |
Newbi question, loading LMMs with HF Transformers | 2 | I have a question on the loading settings, what is the difference between using load\_in\_4bit and torch\_dtype=torch.float16?
I found both settings in HF solar description.... any tips are welcomed!
tokenizer = AutoTokenizer.from\_pretrained("Upstage/SOLAR-10.7B-Instruct-v1.0")
model = AutoModelForCausalLM.from\_pr... | 2023-12-20T13:46:32 | https://www.reddit.com/r/LocalLLaMA/comments/18muymz/newbi_question_loading_lmms_with_hf_transformers/ | Ecstatic_Sale1739 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18muymz | false | null | t3_18muymz | /r/LocalLLaMA/comments/18muymz/newbi_question_loading_lmms_with_hf_transformers/ | false | false | self | 2 | null |
Has anyone managed to use knowledge/fact editing techniques such as Memit or use the EasyEdit library on limited (V)RAM? | 9 | It's possible to edit facts directly into an LLM without retraining or finetuning using techniques such as Memit. A popular library to do so that supports multiple fact editing algorithms is EasyEdit. You for do e.g. change "The president of the USA is Barack Obama" -> "The president of the USA is Joe Biden", without a... | 2023-12-20T13:39:42 | https://www.reddit.com/r/LocalLLaMA/comments/18mutj9/has_anyone_managed_to_use_knowledgefact_editing/ | PMMEYOURSMIL3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mutj9 | false | null | t3_18mutj9 | /r/LocalLLaMA/comments/18mutj9/has_anyone_managed_to_use_knowledgefact_editing/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': 'FP6OZUMhfluzHyRcx34PEpctJWPBV0eNwFzwdkdBZfg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Mj8AHhOmuFMI3ID5K6FXuc5tnKClCK0sXm-XNlZXitU.jpg?width=108&crop=smart&auto=webp&s=72f247327c06d7e6abfa444fbe52a30a886d26ed', 'width': 108}, {'height': 108, 'url': 'h... |
Low vram, 100 pdf - Text classification (by topics) | 5 | Hi,
I'm hoping AI text generation might be able to do it, but I've only got a low GPU with 4GB of RAM. Obviously, I'm not going to be running anything crazy 128GB models! \[ I am non-coder :( \]
It might be crazy to think it may be, but can I process 100 books of text to categorize by topic—I'm just hoping it is p... | 2023-12-20T13:25:34 | https://www.reddit.com/r/LocalLLaMA/comments/18mujf1/low_vram_100_pdf_text_classification_by_topics/ | Holiday-Regret-1896 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mujf1 | false | null | t3_18mujf1 | /r/LocalLLaMA/comments/18mujf1/low_vram_100_pdf_text_classification_by_topics/ | false | false | self | 5 | null |
Fine Tuning for Classification? | 4 | I recently scoped some work to build a traditional ML model for classifying unique business day (insurance claims and if the insurance provider would accept a new claim, based on historical data).
As I was writing up my quote I thought to myself... Could this be done faster/cheaper with a fine tuned LLM?
I messed aro... | 2023-12-20T13:05:24 | https://www.reddit.com/r/LocalLLaMA/comments/18mu57c/fine_tuning_for_classification/ | Defektivex | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mu57c | false | null | t3_18mu57c | /r/LocalLLaMA/comments/18mu57c/fine_tuning_for_classification/ | false | false | self | 4 | null |
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. "enable running models up to twice the size of the available DRAM, with a 4-5x and 20-25x increase in inference speed" | 236 | 2023-12-20T13:05:08 | https://huggingface.co/papers/2312.11514 | rationalkat | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 18mu4z4 | false | null | t3_18mu4z4 | /r/LocalLLaMA/comments/18mu4z4/llm_in_a_flash_efficient_large_language_model/ | false | false | 236 | {'enabled': False, 'images': [{'id': '0WhVUSV5SwStzdYD55KrzVCUDKQ9pGfDlCDaeQq-nFA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/KAi3zm5rNue2TOHK6anYe1qMF5KM6T49KZhVM-N7NVk.jpg?width=108&crop=smart&auto=webp&s=d7a4aab053390b7f6a8e173e52ad38e3ce9b7908', 'width': 108}, {'height': 116, 'url': 'h... | ||
Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training | 4 | **Video tutorial**: [https://www.youtube.com/watch?v=0VdNflU08yA](https://www.youtube.com/watch?v=0VdNflU08yA)
**Code**: [https://github.com/hkproj/quantization-notes](https://github.com/hkproj/quantization-notes)
**PDF Slides**: [https://github.com/hkproj/quantization-notes/blob/main/Slides.pdf](https://github.com/h... | 2023-12-20T13:01:31 | https://www.reddit.com/r/LocalLLaMA/comments/18mu2dx/quantization_explained_with_pytorch_posttraining/ | APaperADay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mu2dx | false | null | t3_18mu2dx | /r/LocalLLaMA/comments/18mu2dx/quantization_explained_with_pytorch_posttraining/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'OVAjBU6FcN6AVohzmOeS1gHarNIdee8uAUAIONerctk', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/km0gf62jmo0Q34vp6OLQxGofBIo2kKlrFvWM47lXX9A.jpg?width=108&crop=smart&auto=webp&s=1106652addb6976efbff7edf9fab70b8458290d6', 'width': 108}, {'height': 162, 'url': 'h... |
Best local llm for typescript code generation? | 1 | I know this has been asked many times, but as there are new LLMs released daily, I'd like to know your opinion.
My goal is to experiment with different models that would be capable of writing unit/component tests for my **typescript** react app. I've read about WizardCoder, DeepSeek Coder, CodeLlama, ...
As I underst... | 2023-12-20T12:56:20 | https://www.reddit.com/r/LocalLLaMA/comments/18mtyqy/best_local_llm_for_typescript_code_generation/ | sugy777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mtyqy | false | null | t3_18mtyqy | /r/LocalLLaMA/comments/18mtyqy/best_local_llm_for_typescript_code_generation/ | false | false | self | 1 | null |
"ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models" - Experiments demonstrate that ASVD can compress network by 10%-20% without losing reasoning capacities. | 21 | **Paper**: [https://arxiv.org/abs/2312.05821](https://arxiv.org/abs/2312.05821)
**GitHub**: [https://github.com/hahnyuan/ASVD4LLM](https://github.com/hahnyuan/ASVD4LLM)
**Hugging Face**: [https://huggingface.co/hahnyuan](https://huggingface.co/hahnyuan)
**Abstract**:
>This paper explores a new post-hoc training-fre... | 2023-12-20T12:24:42 | https://www.reddit.com/r/LocalLLaMA/comments/18mteeo/asvd_activationaware_singular_value_decomposition/ | APaperADay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mteeo | false | null | t3_18mteeo | /r/LocalLLaMA/comments/18mteeo/asvd_activationaware_singular_value_decomposition/ | false | false | self | 21 | null |
Can I do anything using a GeForce RTX 4050 with 6GB GDDR6? | 6 | So I bought a laptop with a GPU because I thought it would be nice to be able to do some local ML stuff... But seems like I seriously underestimated how much VRAM you need to run models. What's the best model I could realistically get use out of on my laptop running locally? Thanks! | 2023-12-20T12:20:27 | https://www.reddit.com/r/LocalLLaMA/comments/18mtbv1/can_i_do_anything_using_a_geforce_rtx_4050_with/ | xjustwaitx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mtbv1 | false | null | t3_18mtbv1 | /r/LocalLLaMA/comments/18mtbv1/can_i_do_anything_using_a_geforce_rtx_4050_with/ | false | false | self | 6 | null |
One-command line to run Self-hosted open source LLM models on Mac/across devices | 1 | 2023-12-20T12:19:49 | https://www.secondstate.io/articles/run-llm-sh/ | smileymileycoin | secondstate.io | 1970-01-01T00:00:00 | 0 | {} | 18mtbe4 | false | null | t3_18mtbe4 | /r/LocalLLaMA/comments/18mtbe4/onecommand_line_to_run_selfhosted_open_source_llm/ | false | false | default | 1 | null | |
model layers distribution on a dual gpu setup | 2 | Hi all,
I'm desperately searching for a way (if it exists) to load and distribute the model inference on a dual GPU setup on the same machine. To be clear, I am not trying to speed up the inference by loading all the layers on both GPUs but to distribute the layers 50-50. I intensively searched online, but I did not f... | 2023-12-20T12:10:45 | https://www.reddit.com/r/LocalLLaMA/comments/18mt60j/model_layers_distribution_on_a_dual_gpu_setup/ | MethodParking7226 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mt60j | false | null | t3_18mt60j | /r/LocalLLaMA/comments/18mt60j/model_layers_distribution_on_a_dual_gpu_setup/ | false | false | self | 2 | null |
I suggest a Lingual Mu-zero experiment | 1 | I suggest someone with skill and resources try making a group of LLM scientists.
Say, they study a game. Chess, checkers, reversi, solitaire, Sudoku, Sokoban or Minesweeper. You provide an interface, such as asking for lingual expression of a board configuration and legal moves. (LLMs may or may not have vision)
A gr... | 2023-12-20T11:54:59 | https://www.reddit.com/r/LocalLLaMA/comments/18mswc8/i_suggest_a_lingual_muzero_experiment/ | SpecialNothingness | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mswc8 | false | null | t3_18mswc8 | /r/LocalLLaMA/comments/18mswc8/i_suggest_a_lingual_muzero_experiment/ | false | false | self | 1 | null |
OpenAI’s investor return used to be capped at 100x, but they changed the rule so the cap will roughly double every 4 years starting 2025. I am thankful for Open source community. OpenAI structure is a scam and they claim to do it for the ‘good of humanity’ while building on top of Open source. | 1 | [removed] | 2023-12-20T10:16:42 | Iboxelephants | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18mrdov | false | null | t3_18mrdov | /r/LocalLLaMA/comments/18mrdov/openais_investor_return_used_to_be_capped_at_100x/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'mvNV5SYlBbpZBS7ELyyWodUrF46eG0NphQrD_ntD5Bo', 'resolutions': [{'height': 26, 'url': 'https://preview.redd.it/ysbirflrdf7c1.png?width=108&crop=smart&auto=webp&s=8658df54f7fe1e6f1f3583a4c13c4a4a061f4031', 'width': 108}, {'height': 52, 'url': 'https://preview.redd.it/ysbirflrdf7c1.png?... | ||
Best practice for RAG with follow-up chat questions and LLM conversation? | 15 | I am building something like a personal AI tutor for a hobby. I have done a few POCs using Langchain and Autogen, but I am still not sure what the right "architecture" would look like.
Simple example: discuss with the student which subject (e.g. history), and which particular topic (e.g. ancient Rome) should be studi... | 2023-12-20T09:44:42 | https://www.reddit.com/r/LocalLLaMA/comments/18mqwg6/best_practice_for_rag_with_followup_chat/ | bbence84 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mqwg6 | false | null | t3_18mqwg6 | /r/LocalLLaMA/comments/18mqwg6/best_practice_for_rag_with_followup_chat/ | false | false | self | 15 | null |
What is the optimal model to run on 64GB +16 VRAM? | 25 | I want to run an LLM locally, the smartest possible one, not necessarily getting an immediate answer but achieving a speed of 5-10 tokens per second. As for the model's skills, I don't need it for character-based chatting. I want something that can assist with:
\- text writing
\- coding in py, js, php
My hardware... | 2023-12-20T09:32:18 | https://www.reddit.com/r/LocalLLaMA/comments/18mqpuv/what_is_the_optimal_model_to_run_on_64gb_16_vram/ | kitten888 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mqpuv | false | null | t3_18mqpuv | /r/LocalLLaMA/comments/18mqpuv/what_is_the_optimal_model_to_run_on_64gb_16_vram/ | false | false | self | 25 | null |
I predict that in late 2024, we will see alternate architecture LLMs that significantly outperform transformers of the same size / parameters on Ultra long context ( 1 -10 million context tokens). Also, I am not affiliated with this company. I am just excited about Mamba, Stripedhyena and this. | 28 | 2023-12-20T08:58:53 | https://www.reddit.com/gallery/18mq81h | Iboxelephants | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 18mq81h | false | null | t3_18mq81h | /r/LocalLLaMA/comments/18mq81h/i_predict_that_in_late_2024_we_will_see_alternate/ | false | false | 28 | null | ||
Does LLAMMA have local memory of previous prompts? How does it work? Does it use special layer or does it just add everything to one big promt? | 8 |
Does LLAMMA have local memory of previous prompts? How does it work? Does it use a special layer, or does it just add everything to one big prompt?
I have seen some posts (but I am not sure if it was LocalLLaMA) where some guy made a game similar to Dungeons and Dragons. The neural network answered his questions an... | 2023-12-20T08:13:02 | https://www.reddit.com/r/LocalLLaMA/comments/18mpkez/does_llamma_have_local_memory_of_previous_prompts/ | glorsh66 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mpkez | false | null | t3_18mpkez | /r/LocalLLaMA/comments/18mpkez/does_llamma_have_local_memory_of_previous_prompts/ | false | false | self | 8 | null |
Mixtral not yet at the level of gpt3.5 | 1 | arxiv.org/abs/2312.11444 | 2023-12-20T07:50:18 | Eastwindy123 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18mp8lr | false | null | t3_18mp8lr | /r/LocalLLaMA/comments/18mp8lr/mixtral_not_yet_at_the_level_of_gpt35/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'oCBKvHls1wE_jtHUS55eXChvc05xg1OH3GZ9o1ZgpCI', 'resolutions': [{'height': 48, 'url': 'https://preview.redd.it/67gudt8nne7c1.png?width=108&crop=smart&auto=webp&s=0af7a6398bc4a62f3dd4b5074305d454443979c7', 'width': 108}, {'height': 97, 'url': 'https://preview.redd.it/67gudt8nne7c1.png?... | ||
Recommendations on locally runnable LLMs with large input token limits? | 3 | I'm familiar with LLAMA/2 and it's derivatives, but it only supports \~4k tokens out of the box. Are there any other open source LLMs that I can run locally on my machine with larger input limits? My use case is summarizing a large amount of text and figuring out chapters to group them by.
I'm familiar with LLAMA/2 a... | 2023-12-20T07:10:57 | https://www.reddit.com/r/LocalLLaMA/comments/18moo27/recommendations_on_locally_runnable_llms_with/ | CorerMaximus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18moo27 | false | null | t3_18moo27 | /r/LocalLLaMA/comments/18moo27/recommendations_on_locally_runnable_llms_with/ | false | false | self | 3 | null |
Looking for on premise Huggingface Autotrain that able to deploy and train model locally | 1 | [removed] | 2023-12-20T06:38:08 | https://www.reddit.com/r/LocalLLaMA/comments/18mo5mn/looking_for_on_premise_huggingface_autotrain_that/ | awakendragon82 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mo5mn | false | null | t3_18mo5mn | /r/LocalLLaMA/comments/18mo5mn/looking_for_on_premise_huggingface_autotrain_that/ | false | false | self | 1 | null |
200k usd machine capabilities? | 1 | [removed] | 2023-12-20T06:35:59 | https://www.reddit.com/r/LocalLLaMA/comments/18mo4i2/200k_usd_machine_capabilities/ | Noname6425 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mo4i2 | false | null | t3_18mo4i2 | /r/LocalLLaMA/comments/18mo4i2/200k_usd_machine_capabilities/ | false | false | default | 1 | null |
How does one merge smaller model with larger model? | 3 | Is it possible to merge tiny llama with llama 2? I have this idea, to create a tiny 124M param model with domain specific knowledge and then merge that with a larger post training.
Any suggestions or ideas 💡:) | 2023-12-20T06:33:24 | https://www.reddit.com/r/LocalLLaMA/comments/18mo31h/how_does_one_merge_smaller_model_with_larger_model/ | Independent_Key1940 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mo31h | false | null | t3_18mo31h | /r/LocalLLaMA/comments/18mo31h/how_does_one_merge_smaller_model_with_larger_model/ | false | false | self | 3 | null |
AI development Future | 2 | ​
I am curious about the future trajectory in AI development - is it more beneficial for a fresher like me to specialize in customizing pre-trained models to meet specific needs, or should I focus on building models from the ground up? Given the prevalent use of services like OpenAI in companies, it seems the r... | 2023-12-20T06:23:54 | https://www.reddit.com/r/LocalLLaMA/comments/18mnx9t/ai_development_future/ | Amanporwal | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mnx9t | false | null | t3_18mnx9t | /r/LocalLLaMA/comments/18mnx9t/ai_development_future/ | false | false | default | 2 | null |
Finetune the base/causal model and then merge with an instruct tuned model... | 2 | I want to finetune the base model(Mistral-7B-v0.1) on some pdfs of a subject(anthropology) and then merge it with a finetuned instruct model (teknium/OpenHermes-2.5-Mistral-7B) resulting in a 7b model with both instruct layer and the base layers finetuned on my data. I do believe the base/causal for OpenHermes-2.5-Mist... | 2023-12-20T06:09:34 | https://www.reddit.com/r/LocalLLaMA/comments/18mnoi6/finetune_the_basecausal_model_and_then_merge_with/ | Yyc889 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mnoi6 | false | null | t3_18mnoi6 | /r/LocalLLaMA/comments/18mnoi6/finetune_the_basecausal_model_and_then_merge_with/ | false | false | self | 2 | null |
Creating a Blackbox Leaderboard | 13 | I don't need to tell you how important blackbox questions are for evaluating LLMs -- and we should start crowdsourcing a blackbox leaderboard immediately.
The site rewards "Writers" with karma when they create quality blackbox questions. The highest karma questions are aggregated server-side as the "Blackbox Evalu... | 2023-12-20T06:05:42 | https://www.reddit.com/r/LocalLLaMA/comments/18mnm7n/creating_a_blackbox_leaderboard/ | Sweet_Protection_163 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mnm7n | false | null | t3_18mnm7n | /r/LocalLLaMA/comments/18mnm7n/creating_a_blackbox_leaderboard/ | false | false | self | 13 | null |
Is this currently possible before I invest time | 16 | I don’t mind putting in the time and effort needed to learn something. But damn this AI/ML is a lot to learn.
I train soldiers on army doctrine. What an order is, how to write it, etc. In the process I basically write orders for them. This is all based on published rules/doctrine. You can think of it as everything has... | 2023-12-20T05:36:57 | https://www.reddit.com/r/LocalLLaMA/comments/18mn3md/is_this_currently_possible_before_i_invest_time/ | FatGuyQ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mn3md | false | null | t3_18mn3md | /r/LocalLLaMA/comments/18mn3md/is_this_currently_possible_before_i_invest_time/ | false | false | self | 16 | null |
What model would you use to train a “recipe” bot locally? | 3 | Basically I want to train a bot to come up with recipe ideas based on some given data.
Eg if I give it a typical shopping list and some info about food usage life, I want it to come up with the optimal recipes to use all the food etc.
I have a 3070 and I’m going to be upgrading to 64Gb RAM or maybe even more.
I’m n... | 2023-12-20T05:20:15 | https://www.reddit.com/r/LocalLLaMA/comments/18mmt1w/what_model_would_you_use_to_train_a_recipe_bot/ | Putrid-Tough4558 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mmt1w | false | null | t3_18mmt1w | /r/LocalLLaMA/comments/18mmt1w/what_model_would_you_use_to_train_a_recipe_bot/ | false | false | self | 3 | null |
What are your predictions/wants for 2024 | 42 | I’ve been hearing lots of theories floating around. Just wanted to know what this sub thinks is coming in 2024??
One promising theory I heard that I believe will happen in 2024 is that local LLM’s will make it big! I believe Julien Chaumond was the one who made the prediction and I can see myself agreeing with him. | 2023-12-20T05:08:27 | https://www.reddit.com/r/LocalLLaMA/comments/18mmlg9/what_are_your_predictionswants_for_2024/ | GoodUnderstanding728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mmlg9 | false | null | t3_18mmlg9 | /r/LocalLLaMA/comments/18mmlg9/what_are_your_predictionswants_for_2024/ | false | false | self | 42 | null |
What is required to run deepseek coder? | 1 | I am trying to run 33B and 6.7B Deepseek Coder on an nvidia 3090, but both are terminating when I try to run it. | 2023-12-20T04:33:35 | https://www.reddit.com/r/LocalLLaMA/comments/18mlyzh/what_is_required_to_run_deepseek_coder/ | SillyLilBear | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mlyzh | false | null | t3_18mlyzh | /r/LocalLLaMA/comments/18mlyzh/what_is_required_to_run_deepseek_coder/ | false | false | self | 1 | null |
LLM resources for beginners | 1 | [removed] | 2023-12-20T04:19:46 | https://www.reddit.com/r/LocalLLaMA/comments/18mlpo7/llm_resources_for_beginners/ | TriDoHuu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mlpo7 | false | null | t3_18mlpo7 | /r/LocalLLaMA/comments/18mlpo7/llm_resources_for_beginners/ | false | false | self | 1 | null |
Better LLM than Pivot_Evil for RP? | 8 | It’s been my go to in it’s sheer versatility and willingness to Go There when I ask it to. I can run 7Bs and some smaller 13Bs. I haven’t tried any quants of larger.
THANKS! | 2023-12-20T04:11:30 | https://www.reddit.com/r/LocalLLaMA/comments/18mlk44/better_llm_than_pivot_evil_for_rp/ | AmericanKamikaze | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mlk44 | false | null | t3_18mlk44 | /r/LocalLLaMA/comments/18mlk44/better_llm_than_pivot_evil_for_rp/ | false | false | self | 8 | null |
Any prompt experts know how to force a model to not ask a question at the end of every response in a chat conversation? | 3 | I realized one thing that feels fake about multi-turn conversations is the LLM is always asking a question at the end of each response. This is not the normal flow of most conversations I have. I tried adjusting the system prompt and told it to not ask questions at the end of a response but it didn't help. I used Mytho... | 2023-12-20T04:07:02 | https://www.reddit.com/r/LocalLLaMA/comments/18mlh2g/any_prompt_experts_know_how_to_force_a_model_to/ | DangerousBenefit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mlh2g | false | null | t3_18mlh2g | /r/LocalLLaMA/comments/18mlh2g/any_prompt_experts_know_how_to_force_a_model_to/ | false | false | self | 3 | null |
Having Difficulty Getting Mixtral 8x7b to Be Consistent and Stay on Task | 4 | I'm trying to run Mixtral 8x7b (mistral-8x7b-q4\_k\_m) locally to build a Context/Question/Answer dataset from a set of classical (Hellenic/Roman) history works, but's it's really wonky. Sometimes my question generation function produces great results: "Who was Aspasia?" or "N/A" if the question type doesn't match the... | 2023-12-20T03:55:22 | https://www.reddit.com/r/LocalLLaMA/comments/18ml8p9/having_difficulty_getting_mixtral_8x7b_to_be/ | Mbando | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18ml8p9 | false | null | t3_18ml8p9 | /r/LocalLLaMA/comments/18ml8p9/having_difficulty_getting_mixtral_8x7b_to_be/ | false | false | self | 4 | null |
Mistral 7b is amazing but error rate is 60%, fine-tuning made it worse.. any fine-tuning tips? | 7 | I ran Mistral to create a data set of 3k good examples, 40% of my original set. I curated a perfect set of examples, ran a fine-tuning training for 8 epochs loss rate went from 4 to 0.003xxxx and error rate shot up to 100%.. I figured it would get more accurate..
Anyone have any advice.. no idea why the model lost th... | 2023-12-20T03:33:43 | https://www.reddit.com/r/LocalLLaMA/comments/18mktu0/mistral_7b_is_amazing_but_error_rate_is_60/ | Tiny_Arugula_5648 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mktu0 | false | null | t3_18mktu0 | /r/LocalLLaMA/comments/18mktu0/mistral_7b_is_amazing_but_error_rate_is_60/ | false | false | self | 7 | null |
Maybe we will be able to run far larger models on Apple hardware than previously thought | 128 | [https://huggingface.co/papers/2312.11514](https://huggingface.co/papers/2312.11514)
Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their intensive computational and memory requirements present challenges, especially for dev... | 2023-12-20T03:12:38 | https://www.reddit.com/r/LocalLLaMA/comments/18mkeu1/maybe_we_will_be_able_to_run_far_larger_models_on/ | Ward_0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mkeu1 | false | null | t3_18mkeu1 | /r/LocalLLaMA/comments/18mkeu1/maybe_we_will_be_able_to_run_far_larger_models_on/ | false | false | self | 128 | {'enabled': False, 'images': [{'id': '0WhVUSV5SwStzdYD55KrzVCUDKQ9pGfDlCDaeQq-nFA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/KAi3zm5rNue2TOHK6anYe1qMF5KM6T49KZhVM-N7NVk.jpg?width=108&crop=smart&auto=webp&s=d7a4aab053390b7f6a8e173e52ad38e3ce9b7908', 'width': 108}, {'height': 116, 'url': 'h... |
OpenChat 3.5 thinks that it is OpenAssistant | 1 | 2023-12-20T02:48:13 | PolyPenguinDev | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18mjx3u | false | null | t3_18mjx3u | /r/LocalLLaMA/comments/18mjx3u/openchat_35_thinks_that_it_is_openassistant/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'IwZCSGrx5Pke_MPSKmnjPMXtyFfrrMY5stvhFghkppI', 'resolutions': [{'height': 16, 'url': 'https://preview.redd.it/ollnsfvn5d7c1.png?width=108&crop=smart&auto=webp&s=653e5f4fd5c291e08a87c081526fc938b630df5a', 'width': 108}, {'height': 33, 'url': 'https://preview.redd.it/ollnsfvn5d7c1.png?... | |||
4x64GB ram for local LLMs | 2 | Hi, I want to run 128GB of ram so I can run local LLMs at the highest speed possible. The kit with the best overall speed that I found available to buy is 4000 c18:
https://www.gskill.com/product/165/166/1601284727/F4-4000C18Q-128GTZR
CPU:5950x
Motherboard: MSI x570 Tomahawk Wifi
Current RAM: 4x8GB Gskill 3600 c16
... | 2023-12-20T02:46:53 | https://www.reddit.com/r/LocalLLaMA/comments/18mjw6u/4x64gb_ram_for_local_llms/ | PoorFrenchman | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mjw6u | false | null | t3_18mjw6u | /r/LocalLLaMA/comments/18mjw6u/4x64gb_ram_for_local_llms/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'JPNFbK59zTRK2cdeVKoDsZ26nnSmYtVDbyt43vavpO8', 'resolutions': [{'height': 55, 'url': 'https://external-preview.redd.it/-GC1O2G2fxn3Vmw7Q5M6hwxGclP8AeNYbyeoSXYXVtE.jpg?width=108&crop=smart&auto=webp&s=e5eeb49b080edbecb82caac6f1171b493d3eb3fd', 'width': 108}], 'source': {'height': 75,... |
New benchmark by Stanford: HELM lite v1.0.0 including Narrative, Math, Legal, Medicine, Translation tasks | 120 | **Leaderboard**:
[**https://crfm.stanford.edu/helm/lite/v1.0.0/#/leaderboard**](https://crfm.stanford.edu/helm/lite/v1.0.0/#/leaderboard)
*Announcement*:
[https://crfm.stanford.edu/2023/12/19/helm-lite.html](https://crfm.stanford.edu/2023/12/19/helm-lite.html)
[https://twitter.com/percyliang/status/1737246714... | 2023-12-20T02:37:10 | https://www.reddit.com/r/LocalLLaMA/comments/18mjpa2/new_benchmark_by_stanford_helm_lite_v100/ | galambalazs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mjpa2 | false | null | t3_18mjpa2 | /r/LocalLLaMA/comments/18mjpa2/new_benchmark_by_stanford_helm_lite_v100/ | false | false | self | 120 | null |
Dolphin Mixtral Repeats itself - Best settings for ultimate NSFW without needless repetition? | 3 | 2023-12-20T02:18:42 | CloudStrx | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18mjbvn | false | null | t3_18mjbvn | /r/LocalLLaMA/comments/18mjbvn/dolphin_mixtral_repeats_itself_best_settings_for/ | false | false | nsfw | 3 | {'enabled': True, 'images': [{'id': 'Ebk_9OADEVOz-jDL8VAW3BaGs-EF0mlh_3HKIEq4TFc', 'resolutions': [{'height': 63, 'url': 'https://preview.redd.it/3eq6d8ta0d7c1.png?width=108&crop=smart&auto=webp&s=3d81e22f2ea571b489ba2f973a9d94d70ec6b1f5', 'width': 108}, {'height': 126, 'url': 'https://preview.redd.it/3eq6d8ta0d7c1.png... | ||
Help Merging Models | 2 | I was looking at those nx7b models and was wondering how people made them. I am looking to merge models together to create a larger model, how can I go about doing this? | 2023-12-20T02:08:18 | https://www.reddit.com/r/LocalLLaMA/comments/18mj4d5/help_merging_models/ | Acceptable_Soup1543 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mj4d5 | false | null | t3_18mj4d5 | /r/LocalLLaMA/comments/18mj4d5/help_merging_models/ | false | false | self | 2 | null |
C'mon, test the models on real-world usage | 1 | [removed] | 2023-12-20T02:05:32 | https://www.reddit.com/r/LocalLLaMA/comments/18mj2cs/cmon_test_the_models_on_realworld_usage/ | deal_with_mofo_2331 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mj2cs | false | null | t3_18mj2cs | /r/LocalLLaMA/comments/18mj2cs/cmon_test_the_models_on_realworld_usage/ | false | false | self | 1 | null |
Question regarding Front-end webui that can be connected external API | 2 | Hello, I am having quite a lot of issues finding this one specific webui/user interface that could be connected to an API/service that hosts LLM where you pay per token basis. Is there any recommendations you guys might have? Am I missing something that I'm having such difficulty finding this? For those more curious I ... | 2023-12-20T01:58:01 | https://www.reddit.com/r/LocalLLaMA/comments/18miwnc/question_regarding_frontend_webui_that_can_be/ | aabbeyy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18miwnc | false | null | t3_18miwnc | /r/LocalLLaMA/comments/18miwnc/question_regarding_frontend_webui_that_can_be/ | false | false | self | 2 | null |
What's your strategy to compare prompt quality, existing tools ? | 2 | As you know the prompt you use asking a questions has a huge impact on the quality of the answer you will get from the LLM.
I am creating prompts and testing them for some personal use cases using llama.cpp and mistral open hermes model.
I currently use an excel sheet to track my prompt quality and I struggle into ... | 2023-12-20T01:34:18 | https://www.reddit.com/r/LocalLLaMA/comments/18mifab/whats_your_strategy_to_compare_prompt_quality/ | steph_pop | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mifab | false | null | t3_18mifab | /r/LocalLLaMA/comments/18mifab/whats_your_strategy_to_compare_prompt_quality/ | false | false | self | 2 | null |
How many people find an LLM and stick with it? | 50 | I love ChatGPT and the idea's of LLM's. I know nothing of coding or python and honestly while I would like to learn enough to get by, a lot of it seems to be over my head for the time being. LM Studio is my friend, if I could upload documents to LM studios that's all I would ever need. That's all besides the point thou... | 2023-12-20T01:20:04 | https://www.reddit.com/r/LocalLLaMA/comments/18mi50p/how_many_people_find_an_llm_and_stick_with_it/ | Foot-Note | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mi50p | false | null | t3_18mi50p | /r/LocalLLaMA/comments/18mi50p/how_many_people_find_an_llm_and_stick_with_it/ | false | false | self | 50 | null |
Hardware Recommendations | 7 | I recently got into local LLMs due to how powerful they are. I honestly thought it would have taken us a few more years for us to have this kind of utility where we are not reliant on some massive cloud, and I want to jump right into it.
My setup right now is a
\- 5950X
\- 128 GB RAM
\- 1x RTX 3090
I've been exper... | 2023-12-20T01:13:55 | https://www.reddit.com/r/LocalLLaMA/comments/18mi0jt/hardware_recommendations/ | AcceptableMacaron497 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mi0jt | false | null | t3_18mi0jt | /r/LocalLLaMA/comments/18mi0jt/hardware_recommendations/ | false | false | self | 7 | null |
Looking to make a 3x7b model merge | 1 | I am new to this field but I would like to make a 3x7b model merge (similar to mixtral 8x7b but with only 3 models) how can I go about doing this | 2023-12-20T01:06:49 | https://www.reddit.com/r/LocalLLaMA/comments/18mhvep/looking_to_make_a_3x7b_model_merge/ | Aromatic-Ad9081 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mhvep | false | null | t3_18mhvep | /r/LocalLLaMA/comments/18mhvep/looking_to_make_a_3x7b_model_merge/ | false | false | self | 1 | null |
How to use more experts? (Mixtral) | 2 | I would especially love if anyone knew a way to do this with Kobold or llamacpp, but maybe that's just not there yet. After seeing some tests I would really like to try this for myself but I don't know if there's an approachable method!
I'm very curious if using 3-8 experts could subjectively improve responses (I alre... | 2023-12-20T00:06:36 | https://www.reddit.com/r/LocalLLaMA/comments/18mgmb9/how_to_use_more_experts_mixtral/ | CorruptEmanation | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mgmb9 | false | null | t3_18mgmb9 | /r/LocalLLaMA/comments/18mgmb9/how_to_use_more_experts_mixtral/ | false | false | self | 2 | null |
What is the difference between Oogabooga and kobold? | 1 | [removed] | 2023-12-19T23:36:34 | https://www.reddit.com/r/LocalLLaMA/comments/18mfz85/what_is_the_difference_between_oogabooga_and/ | Garoknight | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 18mfz85 | false | null | t3_18mfz85 | /r/LocalLLaMA/comments/18mfz85/what_is_the_difference_between_oogabooga_and/ | false | false | self | 1 | null |
Code interpreter with Mistral LLM | 44 | 2023-12-19T23:29:58 | louis3195 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 18mftoq | false | null | t3_18mftoq | /r/LocalLLaMA/comments/18mftoq/code_interpreter_with_mistral_llm/ | false | false | 44 | {'enabled': True, 'images': [{'id': 'yOwn97t0uG7UgCdTQsUft6BaUWjUfZ844hCHdd-I8l0', 'resolutions': [{'height': 87, 'url': 'https://preview.redd.it/sletgyfc6c7c1.png?width=108&crop=smart&auto=webp&s=e22caacbd2ab76251de6b5d041bb7a9aa24e1c5d', 'width': 108}, {'height': 174, 'url': 'https://preview.redd.it/sletgyfc6c7c1.png... |
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