name string | body string | score int64 | controversiality int64 | created timestamp[us] | author string | collapsed bool | edited timestamp[us] | gilded int64 | id string | locked bool | permalink string | stickied bool | ups int64 |
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t1_jhrxhst | Yeah the other guys reported the same.
Last thing I can think to try is making a .pt file instead of .safetensors, and that's just about to finish packing and then I'll upload it
Keep an eye on the comment thread I linked to you, I'll ping there when it's uploaded | 2 | 0 | 2023-04-26T12:14:13 | The-Bloke | false | null | 0 | jhrxhst | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrxhst/ | false | 2 |
t1_jhrxby3 | Tried it. Still very slow, might be a little faster unless it's just randomness kicking in lol. Says I'm getting about 0.5-1 t/s which is basically the speed I get on cpu normally. | 1 | 0 | 2023-04-26T12:12:44 | Kafke | false | null | 0 | jhrxby3 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrxby3/ | false | 1 |
t1_jhrwe77 | Wow, I have to try it then. Why hasn’t it gathered enough attention, I wonder ? | 1 | 0 | 2023-04-26T12:04:06 | djangoUnblamed | false | null | 0 | jhrwe77 | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhrwe77/ | false | 1 |
t1_jhrvvvr | Unfortunately reddit users misusing downvotes function.
There is numerous discussions that [support your point.](https://github.com/ggerganov/llama.cpp/issues/39#issuecomment-1465138843) | 1 | 0 | 2023-04-26T11:59:18 | AlphaPrime90 | false | null | 0 | jhrvvvr | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhrvvvr/ | false | 1 |
t1_jhrvnuj | Check this out. https://github.com/ggerganov/llama.cpp/issues/39#issuecomment-1465138843 | 1 | 0 | 2023-04-26T11:57:09 | AlphaPrime90 | false | null | 0 | jhrvnuj | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhrvnuj/ | false | 1 |
t1_jhrvlmr | [Using less threads might net you more t/s](https://github.com/ggerganov/llama.cpp/issues/39#issuecomment-1465138843) | 2 | 0 | 2023-04-26T11:56:33 | AlphaPrime90 | false | null | 0 | jhrvlmr | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhrvlmr/ | false | 2 |
t1_jhruner | I've created a new GPTQ file using ooba's old fork of GPTQ-for-LLaMa
Can you please test it for speed. Details here: [https://huggingface.co/TheBloke/wizardLM-7B-GPTQ/discussions/2#64490f2bd5d86def91cdd5ac](https://huggingface.co/TheBloke/wizardLM-7B-GPTQ/discussions/2#64490f2bd5d86def91cdd5ac) | 1 | 0 | 2023-04-26T11:47:23 | The-Bloke | false | null | 0 | jhruner | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhruner/ | false | 1 |
t1_jhrtvac | Interesting.
Thank you. | 2 | 0 | 2023-04-26T11:39:32 | AlphaPrime90 | false | null | 0 | jhrtvac | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrtvac/ | false | 2 |
t1_jhrtoqt | I'm new to LLMs but from recent investigations I think it's because they are running the 4bit quantised version of the model which is slightly dumber than the non-quantised version and fits in less memory. | 1 | 0 | 2023-04-26T11:37:43 | pauliephonic | false | null | 0 | jhrtoqt | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhrtoqt/ | false | 1 |
t1_jhrtnkf | > why exactly is a one side higher than the others in a bathtub?
The one-sided slope in most bathtubs is there because this design allows for easier cleaning, as any debris or hair will naturally flow towards the lower end due to gravity. Additionally, having one side raised helps prevent sloshing and splashes during ... | 1 | 0 | 2023-04-26T11:37:23 | ambient_temp_xeno | false | null | 0 | jhrtnkf | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhrtnkf/ | false | 1 |
t1_jhrt9cp | Found this experiment someone did elsewhere which in some ways is good, but other ways bad.
https://preview.redd.it/84yybtkha9wa1.png?width=2304&format=png&auto=webp&v=enabled&s=56ac9421393f1982bba66d49b4d6536c04bcfa89 | 1 | 0 | 2023-04-26T11:33:21 | ambient_temp_xeno | false | null | 0 | jhrt9cp | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhrt9cp/ | false | 1 |
t1_jhrsx8b | You sure those ports are not occupied by another process? | 1 | 0 | 2023-04-26T11:29:52 | Livid_Department3153 | false | null | 0 | jhrsx8b | false | /r/LocalLLaMA/comments/12una2g/agentllm_is_working_autogpt_with_llamacpp_and/jhrsx8b/ | false | 1 |
t1_jhrsnqh | Zero shot means being able to perform on problems it hasn't being trained on, just like GPT4 can reason and solve problems it wasn't specifically trained on. | 10 | 0 | 2023-04-26T11:27:10 | 2muchnet42day | false | null | 0 | jhrsnqh | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrsnqh/ | false | 10 |
t1_jhrsjzx | What does zero shit mean? | 3 | 0 | 2023-04-26T11:26:05 | AlphaPrime90 | false | null | 0 | jhrsjzx | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrsjzx/ | false | 3 |
t1_jhrsabt | FWIW, supercot30b decided to go into the minutae of bath installation.
A chair and a bathtub are two very different objects. A chair is typically designed for sitting, with four legs to support it, usually made of wood or metal, and has an upholstered seat that provides comfort when someone sits on it. On the other ha... | 1 | 0 | 2023-04-26T11:23:16 | ambient_temp_xeno | false | null | 0 | jhrsabt | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhrsabt/ | false | 1 |
t1_jhrrcss | Someone else has just reported ultra slow speeds. I'll try making a third GPTQ using ooba's old fork | 1 | 0 | 2023-04-26T11:13:12 | The-Bloke | false | null | 0 | jhrrcss | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrrcss/ | false | 1 |
t1_jhrr738 | I have tried WizardLM, the model is far beyond my imagination.
I believe the WizardLM-7B model beats Vicuna-13B. | 2 | 0 | 2023-04-26T11:11:26 | Confident-Ad-5753 | false | null | 0 | jhrr738 | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhrr738/ | false | 2 |
t1_jhrqjlx | >I'm not sure why but the demo + running the 4bit model locally both seem to do a poor job of writing basic code for me.
Same for me. | 3 | 0 | 2023-04-26T11:04:10 | myeolinmalchi | false | null | 0 | jhrqjlx | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrqjlx/ | false | 3 |
t1_jhrp0bz | Same here. Around 1.3 t/s on RX6700. Getting 22ish/s on Vicuna 7B. It might be of interest but I am getting much better performance with the ggml models using llama.cpp. I suspect that the slow performance might have something to do with my GTPQ version, but I can't really verify that.
---
Downloading: https://huggin... | 1 | 0 | 2023-04-26T10:46:27 | AgentErgoloid | false | 2023-04-26T12:45:30 | 0 | jhrp0bz | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrp0bz/ | false | 1 |
t1_jhrov1b | I seem to experience similar, guessing your diagnosis about versions is correct.
Btw. I tested all 3 versions and they are really good. TBH, it wasn't a comprehensive test, but it seemed to me that GPTQ versions (even if it was the slowest for me) was producing slightly better results than the other.
Ah, btw. when I ... | 1 | 0 | 2023-04-26T10:44:42 | VertexMachine | false | null | 0 | jhrov1b | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrov1b/ | false | 1 |
t1_jhro0gj | Sweet | 2 | 0 | 2023-04-26T10:34:22 | PauNoCuDoRedditBR | false | null | 0 | jhro0gj | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhro0gj/ | false | 2 |
t1_jhrnmik | Why more ram, as this runs on the GPU and therefor shouldn't be dependent on other than the amount of vram ? | 1 | 0 | 2023-04-26T10:29:33 | dennisler | false | null | 0 | jhrnmik | false | /r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhrnmik/ | false | 1 |
t1_jhrn6js | What GPU do you have? | 1 | 0 | 2023-04-26T10:23:51 | The-Bloke | false | null | 0 | jhrn6js | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrn6js/ | false | 1 |
t1_jhrn3dn | Then after that you should be able pip install torch, transformers, peft, etc as normal
(I can't remember if Python and pip are installed by default in WSL - if not, sudo apt install them first.) | 1 | 0 | 2023-04-26T10:22:42 | The-Bloke | false | null | 0 | jhrn3dn | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrn3dn/ | false | 1 |
t1_jhrmyfq | Yup. I did that and torch says it can't detect gpu. | 1 | 0 | 2023-04-26T10:20:53 | Kafke | false | null | 0 | jhrmyfq | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrmyfq/ | false | 1 |
t1_jhrmvs9 | It looks fairly straightforward to me - maybe it's been updated since you last looked: [https://docs.nvidia.com/cuda/wsl-user-guide/index.html#getting-started-with-cuda-on-wsl](https://docs.nvidia.com/cuda/wsl-user-guide/index.html#getting-started-with-cuda-on-wsl)
So steps are:
1. Install CUDA driver (you have alrea... | 2 | 0 | 2023-04-26T10:19:58 | The-Bloke | false | null | 0 | jhrmvs9 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrmvs9/ | false | 2 |
t1_jhrmiyb | Sadly if I give it a big prompt it just crashes | 1 | 0 | 2023-04-26T10:15:11 | [deleted] | false | null | 0 | jhrmiyb | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrmiyb/ | false | 1 |
t1_jhrmfwe | Yes I'm on windows. Actually.... you might be onto something with the "normally outputs gibberish" thing. I recall one model I had that outputted gibberish on ooba's fork, and iirc when I switched to occams it started working. But yeah the official gptq repo just has a general slowdown for every model which is why I di... | 1 | 0 | 2023-04-26T10:14:04 | Kafke | false | null | 0 | jhrmfwe | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrmfwe/ | false | 1 |
t1_jhrm8hp | Ah interesting, OK. I suppose it's possible something has changed in a recent GPTQ-for-LLaMa commit that's affecting the older versions. Normally that results in gibberish output, but you're the second person who has reported ultra slow speeds. At the time I assumed the other guy hadn't managed to get the CUDA branch c... | 2 | 0 | 2023-04-26T10:11:13 | The-Bloke | false | null | 0 | jhrm8hp | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrm8hp/ | false | 2 |
t1_jhrm1en | Around 200 to 300 milliseconds per token. Sometimes it likes to think and takes a bit longer before spewing out another token sequence 😊 | 2 | 0 | 2023-04-26T10:08:34 | spectrachrome | false | null | 0 | jhrm1en | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhrm1en/ | false | 2 |
t1_jhrlx7z | > I've been told of performance problems like yours before, and I think they can relate to people using the CUDA branch of GPTQ-for-LLaMa without it being compiled. Is that possible in your case?
Yes I'm on cuda branch of gptq. Other 4bit models run perfectly fine (notably I recently downloaded chimera 7b-4bit and it'... | 3 | 0 | 2023-04-26T10:07:00 | Kafke | false | 2023-04-26T10:10:28 | 0 | jhrlx7z | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrlx7z/ | false | 3 |
t1_jhrlhv5 | Sorry to hear that! Testing using the latest Triton GPTQ-for-LLaMa code in text-generation-webui on an NVidia 4090 I get:
`act-order.safetensors` file:
```
Output generated in 37.69 seconds (6.39 tokens/s, 241 tokens, context 39, seed 1866660043)
Output generated in 33.61 seconds (10.92 tokens/s, 367 tokens, context 3... | 4 | 0 | 2023-04-26T10:01:03 | The-Bloke | false | null | 0 | jhrlhv5 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrlhv5/ | false | 4 |
t1_jhrl1ue | Thanks a lot mate! | 1 | 0 | 2023-04-26T09:54:43 | kedarkhand | false | null | 0 | jhrl1ue | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhrl1ue/ | false | 1 |
t1_jhrkpl7 | I looked at the questions and if I'm not misinterpreting, these are about knowledge.
I feel it would be very useful if we had a llm that was good at reasoning like GPT4. A LLM that has knowledge and acts as an encyclopedia is great for a lot of uses, but I feel we're lacking in the logic and zero shot department. | 11 | 0 | 2023-04-26T09:49:55 | 2muchnet42day | false | null | 0 | jhrkpl7 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrkpl7/ | false | 11 |
t1_jhrkmq6 | I seem to have constant problems with this model. I'm running the 4bit version and it's *very* slow on my gpu, slower than I can run models on cpu (wizard runs at around 0.2 tokens /s, cpu typically does 0.4-0.5 t/s, gpu typically runs 5-10 t/s). Likewise, I struggle to get good outputs with it. Using typical presets l... | 9 | 0 | 2023-04-26T09:48:45 | Kafke | false | null | 0 | jhrkmq6 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrkmq6/ | false | 9 |
t1_jhrkd9o | I'm not sure why but the demo + running the 4bit model locally both seem to do a poor job of writing basic code for me. | 6 | 0 | 2023-04-26T09:44:53 | rainy_moon_bear | false | null | 0 | jhrkd9o | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrkd9o/ | false | 6 |
t1_jhrjhjq | Sounds like something has gone wrong somewhere. Maybe it's in the 4_2 code in llamacpp? | 1 | 0 | 2023-04-26T09:31:30 | ambient_temp_xeno | false | null | 0 | jhrjhjq | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhrjhjq/ | false | 1 |
t1_jhriu1c | The weights are loaded pretty much directly into VRAM, so VRAM usage for the model is the same as the file size. But then you have activations on top of that, key/value cache etc., and you always need some scratch space for computation. How much this all works out to depends on a bunch of factors, but for 30B Llama/Alp... | 3 | 0 | 2023-04-26T09:21:28 | ReturningTarzan | false | null | 0 | jhriu1c | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhriu1c/ | false | 3 |
t1_jhritz4 | Thanks so much! Yes, this is one of most novel paper i have seen in the last 1 month. Unlike simple finetuning based on the existing data, they are carefully and deeply considering the problem, their vision far surpasses ours. | 2 | 0 | 2023-04-26T09:21:26 | Confident-Ad-5753 | false | null | 0 | jhritz4 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhritz4/ | false | 2 |
t1_jhrin5n | Awesome results, thank you! As others have mentioned, it'd be awesome if you could add the new WizardLM 7B model to the list.
I've done the merges and quantisation in these repos:
[https://huggingface.co/TheBloke/wizardLM-7B-HF](https://huggingface.co/TheBloke/wizardLM-7B-HF)
[https://huggingface.co/TheBloke/wizard... | 11 | 0 | 2023-04-26T09:18:33 | The-Bloke | false | null | 0 | jhrin5n | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrin5n/ | false | 11 |
t1_jhrimjc | This is a fascinating take and deserves more experimentation. 65b being smart enough that it just gives the simple answer to a simple question without blathering about fibreglass? | 3 | 0 | 2023-04-26T09:18:18 | ambient_temp_xeno | false | null | 0 | jhrimjc | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhrimjc/ | false | 3 |
t1_jhridev | [Check out this post,](https://old.reddit.com/r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/) someone just compared multiable models in Jeopardy style.
Thanks for the conversions. | 5 | 0 | 2023-04-26T09:14:23 | AlphaPrime90 | false | null | 0 | jhridev | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhridev/ | false | 5 |
t1_jhrhwta | Awesome work. Thanks for sharing.
How much time did it take to test them?, 100 questions is a lot. | 3 | 0 | 2023-04-26T09:07:19 | AlphaPrime90 | false | null | 0 | jhrhwta | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrhwta/ | false | 3 |
t1_jhrhbxo | No, he doesn’t just mean patient permission. Llama isn’t licensed for commercial usage. | -1 | 0 | 2023-04-26T08:58:25 | PM_ME_ENFP_MEMES | false | null | 0 | jhrhbxo | false | /r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jhrhbxo/ | false | -1 |
t1_jhrh5g4 | Thanks for that. Gona give it a try. | 2 | 0 | 2023-04-26T08:55:38 | Short-Peanut1079 | false | null | 0 | jhrh5g4 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrh5g4/ | false | 2 |
t1_jhrging | Looks like I know what I'm downloading today after all. | 2 | 0 | 2023-04-26T08:46:00 | ambient_temp_xeno | false | null | 0 | jhrging | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhrging/ | false | 2 |
t1_jhrgidx | I was thinking about making a spreadsheet. Could you please revise your performance nu bers? Tokens/second for each model you tested? Appreciate | 1 | 0 | 2023-04-26T08:45:53 | ljubarskij | false | null | 0 | jhrgidx | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhrgidx/ | false | 1 |
t1_jhrgbt2 | It seems like the Langchain team merged a similar code into their core integrations 2 days ago: https://python.langchain.com/en/latest/modules/models/text_embedding/examples/sentence_transformers.html
We are all implementing the same code 😅 | 4 | 0 | 2023-04-26T08:43:09 | rustedbits | false | null | 0 | jhrgbt2 | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhrgbt2/ | false | 4 |
t1_jhrfmmu | Yeah, that's what I was thinking about as well, "what if the answers were leaked into the models".
In theory that could be answerable by going through the source data and checking for it (but I'm not going to do that and I don't expect it from you either).
One other thing that popped up in my mind is that you could h... | 1 | 0 | 2023-04-26T08:32:20 | ParkingPsychology | false | null | 0 | jhrfmmu | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrfmmu/ | false | 1 |
t1_jhrfiw3 | Very well! It's even competitive with Vicuna 13B 1.1 | 4 | 0 | 2023-04-26T08:30:46 | The-Bloke | false | null | 0 | jhrfiw3 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrfiw3/ | false | 4 |
t1_jhrficl | 4bit GPTQs for GPU inference are now also available at: [https://huggingface.co/TheBloke/wizardLM-7B-GPTQ](https://huggingface.co/TheBloke/wizardLM-7B-GPTQ) | 31 | 0 | 2023-04-26T08:30:32 | The-Bloke | false | null | 0 | jhrficl | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrficl/ | false | 31 |
t1_jhrfflx | I'll keep this post under 300 tokens. I tend to base it on how often it says something that doesn't fit the context and nuance of the situation. 65b does that less than 30b, but 30b doesn't do it much and it follows along quite well. If I was stuck with 30b I'd be happy.
I like it when details are thought of. Like whe... | 3 | 0 | 2023-04-26T08:29:24 | Susp-icious_-31User | false | null | 0 | jhrfflx | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhrfflx/ | false | 3 |
t1_jhrelxh | Curious how it is performing against Vicuna 7B 1.1 | 4 | 0 | 2023-04-26T08:17:01 | Shir_man | false | null | 0 | jhrelxh | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhrelxh/ | false | 4 |
t1_jhre33j | A candidate to consider: [https://www.reddit.com/r/LocalLLaMA/comments/12z9znh/new\_7b\_llama\_model\_wizardlm\_now\_available/](https://www.reddit.com/r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/) | 16 | 0 | 2023-04-26T08:09:11 | lemon07r | false | null | 0 | jhre33j | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhre33j/ | false | 16 |
t1_jhrcxgy | My [model list](https://github.com/underlines/awesome-marketing-datascience/blob/master/awesome-ai.md#open-models) contains fine tuning data sets, whenever I find them noted in the model-cards as well as a [section](https://github.com/underlines/awesome-marketing-datascience/blob/master/awesome-ai.md#data-sets) for som... | 1 | 0 | 2023-04-26T07:51:54 | _underlines_ | false | null | 0 | jhrcxgy | false | /r/LocalLLaMA/comments/12tmz9v/are_instruction_sets_being_combined/jhrcxgy/ | false | 1 |
t1_jhrcvpq | No idea why I get downvoted. I've tested on half a dozen different machines and all of them perform better with $(nproc)/2. Some require even less for optimal performance. | 2 | 0 | 2023-04-26T07:51:10 | gammalsvenska | false | null | 0 | jhrcvpq | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhrcvpq/ | false | 2 |
t1_jhrcjc9 | There were some untested changes being pushed to the master recently, so every llama.cpp quantization method seems to be WIP at the moment. Different q4 quantization methods should have small differences for the big 65B model since this tends to affect smaller models more significantly, even with q4_0 65b you should ge... | 3 | 0 | 2023-04-26T07:46:02 | FullOf_Bad_Ideas | false | null | 0 | jhrcjc9 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhrcjc9/ | false | 3 |
t1_jhrbue3 | Here are some numbers the [last time I ran them](https://www.reddit.com/r/StableDiffusion/comments/10yelb5/quantizing_diffusion_models_running_stable/j801z28/), at 512x512 for 20 steps:
1.08 sec/it Euler a
1.98 sec/it Heun
1.97 sec/it DPM++ 2S a Karras
1.05 sec/it DPM++ 2M Karras ... | 2 | 0 | 2023-04-26T07:35:44 | The_Choir_Invisible | false | null | 0 | jhrbue3 | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhrbue3/ | false | 2 |
t1_jhrbtq7 | It is in 3090, but I am not using it | 1 | 0 | 2023-04-26T07:35:27 | polawiaczperel | false | null | 0 | jhrbtq7 | false | /r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhrbtq7/ | false | 1 |
t1_jhrbnkk | How would Alpacino rank in these? I find the 13B model to be very capable. | 3 | 0 | 2023-04-26T07:32:53 | ericek111 | false | null | 0 | jhrbnkk | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhrbnkk/ | false | 3 |
t1_jhrbkrm | This still sounds like an input/output like format right? In H2O LLM Studio we actually support explicit settings for the separator tokens so you could have your original input text as the input, then add eos token after the prompt (it is a setting) then add a separator token for the answer (it is a setting) and then h... | 1 | 0 | 2023-04-26T07:31:43 | ichiichisan | false | null | 0 | jhrbkrm | false | /r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhrbkrm/ | false | 1 |
t1_jhralbw | Seems like Vicuna and GPT4all are competing against each other | 1 | 0 | 2023-04-26T07:17:32 | djangoUnblamed | false | null | 0 | jhralbw | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhralbw/ | false | 1 |
t1_jhrak5r | Thanks ! I am also looking at these options. | 1 | 0 | 2023-04-26T07:17:03 | djangoUnblamed | false | null | 0 | jhrak5r | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhrak5r/ | false | 1 |
t1_jhraj4j | Thanks ! | 1 | 0 | 2023-04-26T07:16:37 | djangoUnblamed | false | null | 0 | jhraj4j | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhraj4j/ | false | 1 |
t1_jhr9hun | Thank you so much for a detailed answer, kind stranger! | 1 | 0 | 2023-04-26T07:02:12 | ljubarskij | false | null | 0 | jhr9hun | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhr9hun/ | false | 1 |
t1_jhr97g3 | yes, by default llama.cpp maxes all cores, perf or otherwise to 100%, which amounts to 24 threads on the i7-13700k.
That's in spite of `./main --help` claiming it defaults to 4 threads.
Notably, I don't see an option to control where the threads run, merely how many there are.
Anyway, the relationship between threa... | 1 | 0 | 2023-04-26T06:58:12 | itsnotlupus | false | null | 0 | jhr97g3 | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhr97g3/ | false | 1 |
t1_jhr8ohu | Oh, it's there. It's just about two screens to the right. | 10 | 0 | 2023-04-26T06:51:13 | Zone_Purifier | false | null | 0 | jhr8ohu | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhr8ohu/ | false | 10 |
t1_jhr8bgt | 3 different 4bit version in this repo, ranging from 17GB to 24GB, not sure what size that would be in VRAM
[https://huggingface.co/MetaIX/GPT4-X-Alpaca-30B-4bit/tree/main](https://huggingface.co/MetaIX/GPT4-X-Alpaca-30B-4bit/tree/main) | 2 | 0 | 2023-04-26T06:46:25 | DeylanQuel | false | null | 0 | jhr8bgt | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhr8bgt/ | false | 2 |
t1_jhr87ju | Wow thanks for detailed answer! By all cores you mean all performance+efficiency cores? Did you experiment with running only on performance cores? There are some gossips that it might be faster. | 1 | 0 | 2023-04-26T06:44:57 | ljubarskij | false | null | 0 | jhr87ju | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhr87ju/ | false | 1 |
t1_jhr7krm | I'm running 4bit versions, so my data may be off, but fwiw, I like the vicuna 13b v1.1 output better than gpt4x alpaca. Though I did hit censorship on something pretty benign with vicuna (I was in a thread and the MyPillow guy came up in conversation, and vicuna had a problem with the way I phrased a request to make a ... | 4 | 0 | 2023-04-26T06:36:31 | DeylanQuel | false | 2023-04-26T06:40:08 | 0 | jhr7krm | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhr7krm/ | false | 4 |
t1_jhr6y4p | Can you add "oasst-sft-6-llama-30b" to the comparison?
It's new, and seems like the best one I've used so far! | 18 | 0 | 2023-04-26T06:28:17 | YearZero | false | null | 0 | jhr6y4p | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhr6y4p/ | false | 18 |
t1_jhr6vjf | WizardLM is one to watch.
https://github.com/nlpxucan/WizardLM | 1 | 0 | 2023-04-26T06:27:20 | faldore | false | null | 0 | jhr6vjf | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhr6vjf/ | false | 1 |
t1_jhr6ox1 | Please test StableLM and wizardLM | 3 | 0 | 2023-04-26T06:24:55 | yahma | false | null | 0 | jhr6ox1 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhr6ox1/ | false | 3 |
t1_jhr5nlx | I have same gpu and am getting 3sec per iteration in sd, how many are you getting? | 1 | 0 | 2023-04-26T06:11:17 | kedarkhand | false | null | 0 | jhr5nlx | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhr5nlx/ | false | 1 |
t1_jhr2862 | try --temp 0.01 | 2 | 0 | 2023-04-26T05:28:32 | pseudonerv | false | null | 0 | jhr2862 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhr2862/ | false | 2 |
t1_jhr1ztn | What’s the memory usage of GPT4-X-Alpaca 30B? Can you run it with 48GB of VRAM? | 3 | 0 | 2023-04-26T05:25:47 | frownGuy12 | false | null | 0 | jhr1ztn | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhr1ztn/ | false | 3 |
t1_jhr1wb8 | I tried asking the banana question to q4_2 three separate times. It took three tries to get a good answer. I relaunched it after each attempt since once it goes bad, the whole session tends to be bad.
I asked it "I have 7 lbs of bananas, each banana is 0.5 lbs, how many bananas I have?"
Response to attempt #1, what?
... | 1 | 0 | 2023-04-26T05:24:39 | fallingdowndizzyvr | false | null | 0 | jhr1wb8 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhr1wb8/ | false | 1 |
t1_jhr0vwu | Improperly quantized model or out of date repo. Like the other commenter said, you can make sure your repos are up to date.
First update the web UI, then delete repositories/GPTQ-for-LLaMa and use oobabooga's fork:
git clone https://github.com/oobabooga/GPTQ-for-LLaMa
To make sure you're downloading the right mo... | 1 | 0 | 2023-04-26T05:12:58 | Civil_Collection7267 | false | null | 0 | jhr0vwu | false | /r/LocalLLaMA/comments/12z6m0x/im_curious_what_causes_the_output_to_be_like_this/jhr0vwu/ | true | 1 |
t1_jhr033p | One reason you can get that result is if you're using a GPTQ-quantized model with an incompatible format (usually the `.safetensor` version instead of the `.pt` version.).
If that's what is causing it, you can run the .pt version or upgrade the [GPTQ repository](https://github.com/oobabooga/text-generation-webui/blob/... | 2 | 0 | 2023-04-26T05:03:52 | es-cha-ton | false | null | 0 | jhr033p | false | /r/LocalLLaMA/comments/12z6m0x/im_curious_what_causes_the_output_to_be_like_this/jhr033p/ | false | 2 |
t1_jhqzurx | Win+Shift+S | 2 | 0 | 2023-04-26T05:01:18 | MarlinMr | false | null | 0 | jhqzurx | false | /r/LocalLLaMA/comments/12z6m0x/im_curious_what_causes_the_output_to_be_like_this/jhqzurx/ | false | 2 |
t1_jhqzrw2 | "current models" and no StableLM. | -6 | 0 | 2023-04-26T05:00:26 | MarlinMr | true | null | 0 | jhqzrw2 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqzrw2/ | false | -6 |
t1_jhqzjaf | Nah, I actually just removed the last two lines in requirements.txt and then installed
pip install -r requirements.txt
And it worked | 2 | 0 | 2023-04-26T04:57:50 | ShadowbanRevival | false | 2023-04-26T17:39:35 | 0 | jhqzjaf | false | /r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhqzjaf/ | false | 2 |
t1_jhqzha9 | [deleted] | 1 | 0 | 2023-04-26T04:57:13 | [deleted] | true | 2023-04-26T05:13:46 | 0 | jhqzha9 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhqzha9/ | false | 1 |
t1_jhqykxo | How would this compare to GPT4? | 15 | 0 | 2023-04-26T04:47:38 | eat-more-bookses | false | null | 0 | jhqykxo | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqykxo/ | false | 15 |
t1_jhqyby2 | I ran into this issue today. If you are on Linux you will need to install build-essentials, g++, and clang. That's what did it for me. Now I can compile llama-cpp-python no issues.
`sudo apt-get install build-essentials g++ clang` | 2 | 0 | 2023-04-26T04:44:59 | POWERC0SMIC | false | null | 0 | jhqyby2 | false | /r/LocalLLaMA/comments/12yzldp/failed_building_wheel_for_llamacpppython/jhqyby2/ | false | 2 |
t1_jhqy5xz | Can you do a test to gpt4all-j? I'm really curious how it perform against all llama based models. | 1 | 0 | 2023-04-26T04:43:14 | ericytt | false | null | 0 | jhqy5xz | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqy5xz/ | false | 1 |
t1_jhqx1n9 | Very cool. Do you have links to all the models you used? Since there are many 4-bit versions floating around I'd like to get the exact models you used. | 7 | 0 | 2023-04-26T04:31:46 | jd_3d | false | null | 0 | jhqx1n9 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqx1n9/ | false | 7 |
t1_jhqvqi3 | Thanks. Sorry, haven’t watched jeopardy’s since I was home sick from school when I was very young. | 2 | 0 | 2023-04-26T04:18:36 | wind_dude | false | null | 0 | jhqvqi3 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqvqi3/ | false | 2 |
t1_jhqu1cj | The only problem with this methodology is that to be fair, I would need to wait for 100 new Final Jeopardy questions after each new model release as the questions (and method) are now public. That would be about 5 months. | 4 | 0 | 2023-04-26T04:02:06 | aigoopy | false | null | 0 | jhqu1cj | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqu1cj/ | false | 4 |
t1_jhqtb6q | I had this same issue. We solved it on the discord. If it’s the same issue I experienced, it’s because your EOS tokens aren’t defined correctly in special_tokens.json. I believe that’s the file. Look at that file, there should be 3 sections in that file. If the token for each is empty, you need to replace it with the c... | 8 | 0 | 2023-04-26T03:55:16 | brandonZappy | false | 2023-04-26T03:58:16 | 0 | jhqtb6q | false | /r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqtb6q/ | false | 8 |
t1_jhqt215 | The star of the show for me was the Vicuna 13B. That performed very well considering it's size. If they release a 30B of that one, I wouldn't be surprised if it was higher than the 65B. I do not have a subscription to chatGPT but anyone who does is welcome to use the questions in the llm-jeopardy github against it i... | 13 | 0 | 2023-04-26T03:52:57 | aigoopy | false | null | 0 | jhqt215 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqt215/ | false | 13 |
t1_jhqsxnm | Thank useful chart for getting better context on how these compare.
Got vicuna13b running recently. It is decent
Will try gpt4 x alpaca next.
Anyone has a link for installing by any chance? | 1 | 0 | 2023-04-26T03:51:52 | BeautifulOk4470 | false | null | 0 | jhqsxnm | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqsxnm/ | false | 1 |
t1_jhqsu38 | [deleted] | 2 | 0 | 2023-04-26T03:50:59 | [deleted] | true | 2023-05-15T08:06:06 | 0 | jhqsu38 | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqsu38/ | false | 2 |
t1_jhqsrbr | Cool, thanks for the data/GitHub =] very cool.. it’s like you are making your own local language model eval~ | 1 | 0 | 2023-04-26T03:50:17 | disarmyouwitha | false | null | 0 | jhqsrbr | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqsrbr/ | false | 1 |
t1_jhqsjt5 | The overall percentage for humans was 48.11%. There are not always three contestants answering the final question so the scores of those who did are all averaged for each question. | 3 | 0 | 2023-04-26T03:48:25 | aigoopy | false | null | 0 | jhqsjt5 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqsjt5/ | false | 3 |
t1_jhqs95q | 4-bit 30b gpt4-x-alpaca | 2 | 0 | 2023-04-26T03:45:46 | lemon07r | false | null | 0 | jhqs95q | false | /r/LocalLLaMA/comments/12z0rk8/any_good_models_to_test_out_20gb_vram/jhqs95q/ | false | 2 |
t1_jhqrvyv | Amazing, great to see how all the current best models stack up against each other. Gpt4-x-alpaca 30b gets really close to 65b alpaca-lora. Cool to see how well vicuna 13b and 7b do despite their lower parameters number. I wonder where the chatgpt models would fit (both 4 and 3.5-turbo) | 10 | 0 | 2023-04-26T03:42:24 | lemon07r | false | null | 0 | jhqrvyv | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhqrvyv/ | false | 10 |
t1_jhqrrnb | Is this v0 v1 or v1.1? They need different separator and persona settings and generally use different system prompts | 1 | 0 | 2023-04-26T03:41:16 | Faintly_glowing_fish | false | null | 0 | jhqrrnb | false | /r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqrrnb/ | false | 1 |
t1_jhqrpo2 | I mean it literally worked for me, but idk
you would just have to keep hitting generate as the line breaks
have you lowered temp and sampling factor? also try increasing encoder repetition penalty | 1 | 0 | 2023-04-26T03:40:46 | Street-Biscotti-4544 | false | null | 0 | jhqrpo2 | false | /r/LocalLLaMA/comments/12z3h31/why_is_vicuna_giving_me_rubbish/jhqrpo2/ | false | 1 |
t1_jhqrod7 | Okkk | 1 | 0 | 2023-04-26T03:40:27 | tamal4444 | false | null | 0 | jhqrod7 | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhqrod7/ | false | 1 |
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