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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
t1_jht5hai | I looked all over the place and no one seems to have commented this anywhere...
So what you have to do in order to enable AVX512 is to edit `CMakeLists.txt` and change the flags from `OFF` to `ON`, and then compile.
Turns out Zen 4 supports not only `AVX512`, but also `AVX512 VNNI` and `AVX512 VBMI` [source](https://e... | 4 | 0 | 2023-04-26T17:23:20 | fimbulvntr | false | null | 0 | jht5hai | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jht5hai/ | false | 4 |
t1_jht4vt8 | I feel it might score even closer to gpt-3.5 that is | 1 | 0 | 2023-04-26T17:19:33 | Faintly_glowing_fish | false | null | 0 | jht4vt8 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jht4vt8/ | false | 1 |
t1_jht4tdc | For the comparison of vicuna and wizard this is sound. But I feel the comparison with gpt-3.5 might not be. If you can score with Claude or Bard it might eliminate any bias caused by the judge and player being trained by the same organization and process. | 4 | 0 | 2023-04-26T17:19:07 | Faintly_glowing_fish | false | null | 0 | jht4tdc | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jht4tdc/ | false | 4 |
t1_jht43nf | tried both the q4\_0 and q4\_2 model :-/ hm sad because wizardlm was really good with using emojis and was really creative....would've loved to to have it in cai-chat | 1 | 0 | 2023-04-26T17:14:25 | RandomBrainFck | false | null | 0 | jht43nf | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jht43nf/ | false | 1 |
t1_jht409v | If it was mass adopted, it would surely be even better than it is. | 3 | 0 | 2023-04-26T17:13:48 | allredidit | false | null | 0 | jht409v | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht409v/ | false | 3 |
t1_jht3qkg | I have a 7950X3D and here are my results for llama.cpp. I used `alpaca-lora-65B.GGML.q4_3`
First couple of tests I prompted it with "Hello! Are you working correctly?", and later changed to `--mtest` to get a benchmark with less room for variance - I hope. I don't know what I'm doing. Seems like AVX512 doesn't change ... | 3 | 0 | 2023-04-26T17:12:04 | fimbulvntr | false | 2023-04-26T17:19:39 | 0 | jht3qkg | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jht3qkg/ | false | 3 |
t1_jht3f54 | Linux is an absolute beast. It dominates the world and it is available to all. If anything we should aspire deocratised AI to be just like Linux. | 3 | 0 | 2023-04-26T17:10:00 | extopico | false | null | 0 | jht3f54 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht3f54/ | false | 3 |
t1_jht3csh | For the same test case, the score deviation of gpt-4 was not significant, and it was determined that there would be no significant impact on determining the "tendency", so that part was not considered.
Are there any good ways to improve scoring? | 2 | 0 | 2023-04-26T17:09:35 | myeolinmalchi | false | null | 0 | jht3csh | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jht3csh/ | false | 2 |
t1_jht38ia | Thank you for doing that. And the results are interesting - I thought it might do better but it seems to be in line with what the other models are doing. | 1 | 0 | 2023-04-26T17:08:48 | aigoopy | false | null | 0 | jht38ia | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jht38ia/ | false | 1 |
t1_jht2gwd | No idea about that. Are you using the q4\_0 model? The other ones probably won't work on non-llama.cpp systems as they're fairly new methods.
If it is the q4\_0 then I don't know - I'd raise it on the text-generation-webui Issues.
The models definitely work fine in llama.cpp so I think it's a text-gen-ui specific iss... | 1 | 0 | 2023-04-26T17:03:43 | The-Bloke | false | null | 0 | jht2gwd | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jht2gwd/ | false | 1 |
t1_jht2e3h | I tried with ChatGPT 4 and it got 74% with the caveat that I asked it 10 questions at a time (you only get 24 questions per 3 hours with ChatGPT 4 currently). Potentially it'd do even better if it got one question at a time.
Looking back I gave it the wrong prompt originally, though, since the test was not with the or... | 2 | 0 | 2023-04-26T17:03:13 | noname-_- | false | 2023-04-26T17:14:01 | 0 | jht2e3h | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jht2e3h/ | false | 2 |
t1_jht27af | Oh no! That sucks!
And yeah makes sense! I've been meaning to try a fine tune myself but haven't got around to it yet.
PS are you TheWind on Discord? | 1 | 0 | 2023-04-26T17:01:58 | The-Bloke | false | null | 0 | jht27af | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jht27af/ | false | 1 |
t1_jht1zcm | Linux still runs the world.
Also, I’d argue that Ubuntu is just as easy to install and use as windows.
Edit:
(You are also describing Ooba 1click installer from what I can tell — which will run just about any model, in GPU or on CPU at this point, and on windows, Linux, or Mac)
You won’t find 1 model to rule them ... | 1 | 0 | 2023-04-26T17:00:34 | disarmyouwitha | false | 2023-04-26T17:05:55 | 0 | jht1zcm | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht1zcm/ | false | 1 |
t1_jht1x05 | Interesting thought, but I think it's a bit misplaced.
This tech is still VERY, VERY new, and moving VERY, VERY fast. If you increase your time horizon a bit, you'll probably find that things will converge.
The other aspect to consider is that the LLM is more like a use-case specific tool, like an application, than... | 2 | 0 | 2023-04-26T17:00:09 | tronathan | false | null | 0 | jht1x05 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht1x05/ | false | 2 |
t1_jht1ou0 | Did you maybe try something else on a few items to check consistency? I do agree gpt 4 is good, but it likely contained all of gpt 3.5’s training data and therefore might “like” the same styles. | 7 | 0 | 2023-04-26T16:58:42 | Faintly_glowing_fish | false | null | 0 | jht1ou0 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jht1ou0/ | false | 7 |
t1_jht1g9n | would you look at that! It loads!
However...i now get the error:
`UnboundLocalError: local variable 'output' referenced before assignment`
EDIT: my bad, was using the wrong instruction model
EDITEDIT: this error still occurs when i try to use this model in cai-chat mode | 1 | 0 | 2023-04-26T16:57:09 | RandomBrainFck | false | 2023-04-26T17:00:21 | 0 | jht1g9n | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jht1g9n/ | false | 1 |
t1_jht1diq | Damn, looks like the model didn't transfer off runpod before I killed it. :(. I'll have to retrain or try rebuilding from the checkpoints
Why? A few reasons:
\- experiment / fun /learn
\- the 1 advantage I see to the LoRAs outside of the cost to train, is the ability to swap out the LoRA while leaving the basemodel ... | 5 | 0 | 2023-04-26T16:56:39 | wind_dude | false | null | 0 | jht1diq | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jht1diq/ | false | 5 |
t1_jht1c8q | simply instructed GPT-4 to score them out of 100. | 10 | 0 | 2023-04-26T16:56:26 | myeolinmalchi | false | null | 0 | jht1c8q | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jht1c8q/ | false | 10 |
t1_jht165z | It's not feasible and you're a terrible person for even suggesting it. Genuinely awful. You'll get somebody killed. You can't have patient's informed consent if they're not fully aware of how generative AI works. They'll think it's magic, the agent will suggest something dangerous, and somebody will die. | 2 | 0 | 2023-04-26T16:55:20 | Nearby_Yam286 | false | 2023-04-26T17:00:02 | 0 | jht165z | false | /r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jht165z/ | false | 2 |
t1_jht13eu | >just like GPT4 can reason and solve problems it wasn't specifically trained on.
That is not what is going on with chatgpt4, it does not reason anything at all. | -2 | 0 | 2023-04-26T16:54:50 | ObiWanCanShowMe | false | null | 0 | jht13eu | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jht13eu/ | false | -2 |
t1_jht0uy5 | Don't. You're insane I'd you're asking on Reddit. Irresponsible incompetent. I hope you get sued for everything you have. This idea is idiotic. A language model therapist will get somebody killed. | 1 | 0 | 2023-04-26T16:53:21 | Nearby_Yam286 | false | null | 0 | jht0uy5 | false | /r/LocalLLaMA/comments/12yvgo5/tips_to_train_a_therapy_chat_bot/jht0uy5/ | false | 1 |
t1_jht0jwp | Ahh I see! text-generation-webui looks for a model name containing 'ggml' and stupidly it's case sensitive! :)
So rename the model dir to Wizard-ggml or anything containing 'ggml' in lowercase and it'll work fine.
Before:
```
root@5afc85e2425d:~/text-generation-webui# python server.py --model wizardGGML --listen
Grad... | 1 | 0 | 2023-04-26T16:51:25 | The-Bloke | false | null | 0 | jht0jwp | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jht0jwp/ | false | 1 |
t1_jht0j45 | The problem with Linux isn't the many distros, Ubuntu is kinda the "standard" one (at least in Switzerland but I guess everywhere).
Linux is just a debugging hell as soon as you want something more than libre office on a basic desktop. I'm in IT and last time I installed it I came back to windows because my dual scree... | 0 | 0 | 2023-04-26T16:51:17 | hapliniste | false | null | 0 | jht0j45 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht0j45/ | false | 0 |
t1_jhszj78 | Ah yes I am using ooba ooga, newest stable release I guess?
Other models that use llama.cpp work fine though | 1 | 0 | 2023-04-26T16:44:46 | RandomBrainFck | false | null | 0 | jhszj78 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhszj78/ | false | 1 |
t1_jhszclw | I’m curious, how did you do the scoring? | 3 | 0 | 2023-04-26T16:43:36 | Faintly_glowing_fish | false | null | 0 | jhszclw | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhszclw/ | false | 3 |
t1_jhsz9dr | What are you loading it in? llama.cpp models don't use a config.json file. I guess you're using some frontend to llama.cpp.
It's likely a configuration somewhere on your end but I'm not sure what exactly as I don't currently use any llama.cpp UIs. Let me know what you're using and I'll see if I can help. | 1 | 0 | 2023-04-26T16:43:00 | The-Bloke | false | null | 0 | jhsz9dr | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsz9dr/ | false | 1 |
t1_jhsyxis | You can try it if you want, see if performance is any different, but I don't expect it to be.
There's all those different no-act-order versions because I was trying to diagnose the performance issues described in this comment thread: [https://huggingface.co/TheBloke/wizardLM-7B-GPTQ/discussions/2#6449145ad16a70c01592... | 2 | 0 | 2023-04-26T16:40:48 | The-Bloke | false | null | 0 | jhsyxis | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsyxis/ | false | 2 |
t1_jhsywlt | From everything I've seen, oasst models are pretty bad compared to other Instruct models of similar size. | 3 | 0 | 2023-04-26T16:40:37 | TeamPupNSudz | false | null | 0 | jhsywlt | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsywlt/ | false | 3 |
t1_jhsys70 | [deleted] | 1 | 0 | 2023-04-26T16:39:49 | [deleted] | true | null | 0 | jhsys70 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsys70/ | false | 1 |
t1_jhsyoh6 | When i try to load in the llama.cpp version (so [https://huggingface.co/TheBloke/wizardLM-7B-GGML](https://huggingface.co/TheBloke/wizardLM-7B-GGML) ) it throws me the error : OSError: models/TheBloke\_wizardLM-7B-GGML does not appear to have a file named config.json. Checkout ‘[https://huggingface.co/models/TheBloke\_... | 1 | 0 | 2023-04-26T16:39:08 | RandomBrainFck | false | null | 0 | jhsyoh6 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsyoh6/ | false | 1 |
t1_jhsyfn2 | Wow OK awesome. First thing, FYI the adapter\_model.bin is 443 bytes so I think your push failed?
I have a few questions! :)
So you have re-done the same fine tuning as the Wizard team, but now as a LoRA adapter? What would you say will be the benefits of that vs just using the original WizardLM model? Put another w... | 2 | 0 | 2023-04-26T16:37:30 | The-Bloke | false | null | 0 | jhsyfn2 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsyfn2/ | false | 2 |
t1_jhsyaoa | U mean u want Ubuntu | 2 | 1 | 2023-04-26T16:36:36 | riser56 | false | null | 0 | jhsyaoa | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsyaoa/ | false | 2 |
t1_jhsxuth | [deleted] | 3 | 0 | 2023-04-26T16:33:46 | [deleted] | true | null | 0 | jhsxuth | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsxuth/ | false | 3 |
t1_jhsxqu5 | Oh, I just noticed that your GPTQ HF repo now has 2 "ooba.no-act-order" variants of this model, one is newer and ends in 2.pt, should I be using this version instead? | 1 | 0 | 2023-04-26T16:33:02 | Timboman2000 | false | null | 0 | jhsxqu5 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsxqu5/ | false | 1 |
t1_jhsxnoz | here it is if you'de liek to update the post, [https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-7B](https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-7B). Cheers!
PS: thanks for your work training I've used a few of your models in the past! | 3 | 0 | 2023-04-26T16:32:28 | wind_dude | false | null | 0 | jhsxnoz | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsxnoz/ | false | 3 |
t1_jhsxcdc | I'm not sure, it's a good idea and I would contribute my metrics if there were one. I'm working on a standardized prompt template with a couple of challenging requests whose correct answers are easy to programmatically evaluate to make a spreadsheet of what models are the strongest at which activities. I'm wondering if... | 4 | 0 | 2023-04-26T16:30:25 | Oeathus | false | null | 0 | jhsxcdc | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhsxcdc/ | false | 4 |
t1_jhswzt7 | The only things I can think of:
* If you are working with data that cannot be shared with OpenAI's API (like at a company)
* To save money or get around other limitations with OpenAI's models
* To work on improving the smaller models to make them competitive with commercial models | 15 | 0 | 2023-04-26T16:28:09 | gthing | false | null | 0 | jhswzt7 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhswzt7/ | false | 15 |
t1_jhswyyu | I was able to do the first 23 and got 19/23 with GPT4, with second best Alpaca LORA with 14/23. May not hold on all so feel free to do more but big enough difference that GPT4 appears to be much better.
I don’t have the GPT3.5 API setup but I did try Claude API which for the first 23 got 16/23 so better than any open ... | 5 | 0 | 2023-04-26T16:28:00 | bacteriarealite | false | 2023-04-26T20:49:34 | 0 | jhswyyu | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhswyyu/ | false | 5 |
t1_jhswhz1 | Is there just a collaborative spreadsheet comparing all the different models that are out now? There are so many, with complex names; it's very hard to follow. It could list storage size of the model, parameter size, RAM requirements, typical tokens per second, various accuracy benchmarks, origin/parentage, licensing... | 5 | 0 | 2023-04-26T16:24:56 | SufficientPie | false | null | 0 | jhswhz1 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhswhz1/ | false | 5 |
t1_jhsvynl | I use some classical and leetcode easy code. | 3 | 0 | 2023-04-26T16:21:26 | Worth-Barnacle-7539 | false | null | 0 | jhsvynl | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhsvynl/ | false | 3 |
t1_jhsvm46 | yes, similar findings, the novelty of evol-instruct is a huge shock for me ... | 2 | 0 | 2023-04-26T16:19:12 | Worth-Barnacle-7539 | false | null | 0 | jhsvm46 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhsvm46/ | false | 2 |
t1_jhsvizo | Yup, I've just got it running without any preload without issue. Getting around 2.59 tokens/s which is perfectly acceptable for my purposes. By far one of the most useful 7B models I've ever tried thus far. | 1 | 0 | 2023-04-26T16:18:38 | Timboman2000 | false | 2023-04-26T16:28:13 | 0 | jhsvizo | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsvizo/ | false | 1 |
t1_jhsv630 | [deleted] | -1 | 0 | 2023-04-26T16:16:16 | [deleted] | true | null | 0 | jhsv630 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsv630/ | false | -1 |
t1_jhsv46q | I also think it's equal to Vicuna 13B, and may be better on some reasoning questions. But it's just a 7B version ... | 2 | 0 | 2023-04-26T16:15:55 | Worth-Barnacle-7539 | false | null | 0 | jhsv46q | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsv46q/ | false | 2 |
t1_jhsusb3 | Ubuntu: I am not a joke
The "Ubuntu" variant of local LLM would soon come out. | 2 | 0 | 2023-04-26T16:13:46 | GJT11kazemasin | false | null | 0 | jhsusb3 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsusb3/ | false | 2 |
t1_jhsu895 | What is the use case to code with these small models? | 5 | 0 | 2023-04-26T16:10:07 | hassan789_ | false | null | 0 | jhsu895 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhsu895/ | false | 5 |
t1_jhsu7c5 | You got nothing to lose. I should mention I have 32gigs of ram so I'm limited to 30b q4_0. I'm currently downloading the alpaca lora 65b q2_0. It should fit as well, but I'm curious how it will run. | 3 | 0 | 2023-04-26T16:09:58 | YearZero | false | null | 0 | jhsu7c5 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhsu7c5/ | false | 3 |
t1_jhstyf9 | Thanks! | 1 | 0 | 2023-04-26T16:08:22 | Worth-Barnacle-7539 | false | null | 0 | jhstyf9 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhstyf9/ | false | 1 |
t1_jhstvfg | Great question. My ultimate goal with BrainChulo is to give open-source models like the Llama family of LLMs the ability to build and retain context outside what they were trained for (talking beyond one-shot guesses).
For this to happen, I am definitely looking at building agents and tools, or at least a platform f... | 3 | 0 | 2023-04-26T16:07:50 | nbuster | false | null | 0 | jhstvfg | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhstvfg/ | false | 3 |
t1_jhsthyk | That is a very odd error. First thing to do is double check the SHA256SUMs are correct - ie that the models downloaded OK.
If they did, please put a comment on HF with the full error output from text-generation-webui | 1 | 0 | 2023-04-26T16:05:24 | The-Bloke | false | null | 0 | jhsthyk | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsthyk/ | false | 1 |
t1_jhstcfi | In my testing earlier I saw around 5300MB of VRAM usage from the GPTQs so you shouldn't have to do any offload at all I would think | 2 | 0 | 2023-04-26T16:04:23 | The-Bloke | false | null | 0 | jhstcfi | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhstcfi/ | false | 2 |
t1_jhst7bu | Oh nice! | 3 | 0 | 2023-04-26T16:03:25 | The-Bloke | false | null | 0 | jhst7bu | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhst7bu/ | false | 3 |
t1_jhsszz4 | I hope we're replicating the successes leading to mass adoption of Linux - on the Internet!
Who cares about what runs on the desktop? It's only a gateway to the Internet where Linux provides the backbone and runs most web apps and services.
Linux runs on your toaster (well, maybe not, but most likely on your coffee m... | 30 | 0 | 2023-04-26T16:02:03 | WolframRavenwolf | false | null | 0 | jhsszz4 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsszz4/ | false | 30 |
t1_jhsrmvb | > I'd get better performance just running the ggml on cpu.
I'm getting 1t/s on my 3060 ti but I'm getting 5t/s on GGML CPU mode with my 5600x. There's definitely something wrong with the GPTQ model but once its fixed, it'll be awesome I'm sure | 1 | 0 | 2023-04-26T15:53:08 | Poopasite1 | false | null | 0 | jhsrmvb | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsrmvb/ | false | 1 |
t1_jhsrj76 | Exactly, I have similar judgments as you on my test cases.
* In terms of requiring logical reasoning and difficult writing, WizardLM is superior.
* In terms of most of mathematical questions, WizardLM's results is also better.
* In terms of coding, WizardLM tends to output more detailed code than Vicuna 13B, but I c... | 12 | 0 | 2023-04-26T15:52:28 | Confident-Ad-5753 | false | null | 0 | jhsrj76 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhsrj76/ | false | 12 |
t1_jhsr8px | Thank you so much for such a thorough answer.
You're making me want to try! I get about 5 tokens/s on a 3070Ti with 8GB VRAM on Vicuna-7B | 5 | 0 | 2023-04-26T15:50:35 | nbuster | false | 2023-04-27T23:25:29 | 0 | jhsr8px | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhsr8px/ | false | 5 |
t1_jhsqxzm | BTW, what’s your long term goal with BrainChulo?
In the end I just want to build something similar to AutoGPT, that can understand and execute tasks.
I’ve been understanding how to add long term memory for this purpose, but in the mean time writing guides about these features as it seem there’s some general interest... | 1 | 0 | 2023-04-26T15:48:40 | rustedbits | false | null | 0 | jhsqxzm | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhsqxzm/ | false | 1 |
t1_jhsqken | >bigcode/BigCode
>
> a collaboration to train a coding LLM will get released on 24. April.
Where did you see this? The training dataset looks promising and I've been itching to try their latest model. | 1 | 0 | 2023-04-26T15:46:12 | ki7a | false | null | 0 | jhsqken | false | /r/LocalLLaMA/comments/12v7ypv/llm_specialized_in_programming/jhsqken/ | false | 1 |
t1_jhsnoco | Thanks for the offer but these are all 7B so the compute time is negligible - for 65B, the speed of running the model is the bottleneck. 65B took my machine a few hours to run. Most of the work with the smaller models is just copying and pasting into the spreadsheet. | 2 | 0 | 2023-04-26T15:27:26 | aigoopy | false | null | 0 | jhsnoco | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsnoco/ | false | 2 |
t1_jhsmybq | It was indeed code | 1 | 0 | 2023-04-26T15:22:42 | [deleted] | false | null | 0 | jhsmybq | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsmybq/ | false | 1 |
t1_jhsmt61 | You're not getting slow generation speeds like everybody else? This version is supposed to use less than 6GB of VRAM, so there's nothing surprising with how efficient it is. | 1 | 0 | 2023-04-26T15:21:46 | PauNoCuDoRedditBR | false | null | 0 | jhsmt61 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsmt61/ | false | 1 |
t1_jhsmt3i | You have done great automating asking the questions. Copying and pasting automation will depend on the work flow. Evaluation might be harder to automate. | 1 | 0 | 2023-04-26T15:21:45 | AlphaPrime90 | false | null | 0 | jhsmt3i | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsmt3i/ | false | 1 |
t1_jhsl3s2 | There is a big difference though. Linux has way superior core technology and running it has no cost.
The future of open source AI, I believe, is still APIs for the most part. If it runs on every CPU, it ain’t gonna be good, that simple. Even a super small model runs intolerably slow on CPUs and only hard core enthus... | 4 | 0 | 2023-04-26T15:10:31 | Faintly_glowing_fish | false | null | 0 | jhsl3s2 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsl3s2/ | false | 4 |
t1_jhskpb4 | I'm on a laptop using Core i7-10750H CPU, which is 6 cores (12 threads). Using Koboldcpp and default settings which just allocate 6 threads (it uses your core count), I get:
About 300 ms/token (about 3 tokens/s) for 7b models
About 400-500 ms/token (about 2 tokens/s) for 13b models
About 1000-1500 ms/token (1 to 0.75 ... | 7 | 0 | 2023-04-26T15:07:50 | YearZero | false | 2023-04-26T16:08:25 | 0 | jhskpb4 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhskpb4/ | false | 7 |
t1_jhskngp | Yeah.
[https://arxiv.org/abs/2304.09871](https://arxiv.org/abs/2304.09871)
Supposedly trained for 20T tokens. | 17 | 0 | 2023-04-26T15:07:31 | CKtalon | false | null | 0 | jhskngp | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhskngp/ | false | 17 |
t1_jhskbos | Fair enough. I'd be happy to run the inference for you. I can spin up a cloud system and set it running and see what happens.
I don't know how you calculate which results are right, but the code to get the initial results seems simple enough on your Github so if I send you the output file, does that work for you to d... | 3 | 0 | 2023-04-26T15:05:19 | The-Bloke | false | null | 0 | jhskbos | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhskbos/ | false | 3 |
t1_jhsjwc1 | About 2 hours per model and most of that is busy work, copying and pasting and evaluating. Stopping them when they start to run off on a tangent. Restarting for each question most of the time. Sometimes restarting even after restarting because some models take a goofy path and won't get off of it. For example, one o... | 3 | 0 | 2023-04-26T15:02:26 | aigoopy | false | 2023-04-26T15:05:38 | 0 | jhsjwc1 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsjwc1/ | false | 3 |
t1_jhsjpmq | I ran all of these CPU - I would think that 48GB of VRAM could handle any of them - the largest I tested was the 65B and it was 40.8GB. Before the newer ones came out, I was able to test a \~350GB Bloom model and I would not recommend. Very slow on consumer hardware. | 3 | 0 | 2023-04-26T15:01:11 | aigoopy | false | null | 0 | jhsjpmq | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsjpmq/ | false | 3 |
t1_jhsj2gv | I will add this to the list but it might be a couple of days. These take a couple of hours each to do, no matter how fast the model is. Some do not work well with llama.cpp command line prompting so for those, questions are manually pasted into the interactive prompt. I need an AI model that does this model testing ... | 5 | 0 | 2023-04-26T14:56:54 | aigoopy | false | null | 0 | jhsj2gv | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsj2gv/ | false | 5 |
t1_jhsirik | Did you promt it correctly?
I find it gives the best results. From personal experience it's the best I have tried.
HF demo? Did you use the base or the tuned model? | 2 | 0 | 2023-04-26T14:54:50 | MarlinMr | false | null | 0 | jhsirik | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsirik/ | false | 2 |
t1_jhsiip6 | There are two types of consumers in the AI market. Individuals & Enterprise but generally speaking everyone is using AI for productivity purposes. Individuals will use it primarily for commercial purposes with a set of them being students and using it for research/learning purposes. I think these people who use AI casu... | 10 | 0 | 2023-04-26T14:53:14 | JFHermes | false | null | 0 | jhsiip6 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsiip6/ | false | 10 |
t1_jhshqp5 | Th-there's a LLaMa 546B? My gpu lit on fire just displaying that | 15 | 0 | 2023-04-26T14:48:07 | Dany0 | false | null | 0 | jhshqp5 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhshqp5/ | false | 15 |
t1_jhsfvwa | I also just finished training a LoRa for this, I'll upload it to HF shortly.
​
\[EDIT: [https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-7B](https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-7B)\] | 8 | 0 | 2023-04-26T14:35:41 | wind_dude | false | 2023-04-26T16:31:47 | 0 | jhsfvwa | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsfvwa/ | false | 8 |
t1_jhsfuem | Holy crap, this is the most VRAM efficient model that produces the best results I've ever used. I'm able to ask a string of complex questions and it's been able to accurately answer almost all of them, while never running out of VRAM on my RTX 3080Ti.
In fact it seems to have never even peaked above 6GB of usage in an... | 8 | 0 | 2023-04-26T14:35:24 | Timboman2000 | false | null | 0 | jhsfuem | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsfuem/ | false | 8 |
t1_jhsfq9h | > 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 if it doesn't violate anything with their TOS.
It's only 100 questions? Can we just feed them to ChatGPT-4 one at a time? I don't have GPT-4 API but I have ChatGPT Plus. | 1 | 0 | 2023-04-26T14:34:38 | SufficientPie | false | null | 0 | jhsfq9h | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsfq9h/ | false | 1 |
t1_jhsfph6 | This is open source, the community works on what they want and not on what your or me want. Also most GNU/Linux contributors do not do the work to "win", they don't want to dominate the world.
A out LLM I think you see this fragmentation because people work in parallel on different ideas. And for sure a project whe... | 20 | 0 | 2023-04-26T14:34:30 | simion314 | false | null | 0 | jhsfph6 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsfph6/ | false | 20 |
t1_jhsde3c | 6 months, open source will win this. | 2 | 1 | 2023-04-26T14:18:46 | Didicito | false | null | 0 | jhsde3c | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhsde3c/ | false | 2 |
t1_jhscmug | You need something superior to ChatGPT. None of the LLaMAs are really superior to it, much less GPT4
Maybe the unreleased 546B model might come close. | 18 | 0 | 2023-04-26T14:13:36 | CKtalon | false | 2023-04-26T14:17:20 | 0 | jhscmug | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhscmug/ | false | 18 |
t1_jhscdic | Have you ever heard of gpt4all? This is sort of its goal. | 2 | 0 | 2023-04-26T14:11:48 | CRD71600 | false | null | 0 | jhscdic | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhscdic/ | false | 2 |
t1_jhsc4n1 | Cool, I have the same feeling that wizard can achieve something that other llama models cannot, which is surprising. | 1 | 0 | 2023-04-26T14:10:04 | Confident-Ad-5753 | false | null | 0 | jhsc4n1 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsc4n1/ | false | 1 |
t1_jhsbstj | if you don't mind me asking, what average tps do you and others get with cpu/ggml? | 6 | 0 | 2023-04-26T14:07:46 | nbuster | false | null | 0 | jhsbstj | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhsbstj/ | false | 6 |
t1_jhsbrnr | And post the results on /r/OpenAssistant, if you please! | 5 | 0 | 2023-04-26T14:07:32 | AfterAte | false | null | 0 | jhsbrnr | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhsbrnr/ | false | 5 |
t1_jhsbm4l | Got it, thanks man ! | 2 | 0 | 2023-04-26T14:06:27 | djangoUnblamed | false | null | 0 | jhsbm4l | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhsbm4l/ | false | 2 |
t1_jhsawwb | Hi, I am using your vicuna models without any issue but this ones do not work. I used the one click installer for linux of the Text gen UI
I get the error , that I never seen it before.
RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())]
I ... | 1 | 0 | 2023-04-26T14:01:27 | simion314 | false | null | 0 | jhsawwb | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhsawwb/ | false | 1 |
t1_jhsa6xh | Maybe it was arxived just one day ago.. | 3 | 0 | 2023-04-26T13:56:15 | Confident-Ad-5753 | false | null | 0 | jhsa6xh | false | /r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhsa6xh/ | false | 3 |
t1_jhs9p85 | Wondering this myself! Also wondering if Koboldcpp can use this feature or if it’s only for llama.cpp for now. | 2 | 0 | 2023-04-26T13:52:41 | YearZero | false | null | 0 | jhs9p85 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhs9p85/ | false | 2 |
t1_jhs98ak | You (and the others you mentioned) are absolute legends. I am having so much fun exploring these new models as they come out, and if it wasn’t for you, all I’d have was the original paper to read. Like right now I’m just waking up, but I got StableLM and WizardLM to play with, and I feel like a kid on Christmas morning... | 16 | 0 | 2023-04-26T13:49:16 | YearZero | false | null | 0 | jhs98ak | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhs98ak/ | false | 16 |
t1_jhs8t1p | Just curious if your prompt was code ? Text gen UI crashes for me sometimes when I give it some code and ask to review it, in fact it hangs for me like it is in some infinite loop and I have to reboot my Linux machine. I was thinking maybe there is some vulnerability and is not safe to put code in it. | 2 | 0 | 2023-04-26T13:46:09 | simion314 | false | null | 0 | jhs8t1p | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhs8t1p/ | false | 2 |
t1_jhs8bd6 | vicuna 7b give better resulta
\###Human:Write python code to calculate the first 1000 prime numbers and plot them on a graph, then upload that graph to imgur
\###Assistant: Here is some Python code that calculates the first 1000 prime numbers and plots them on a graph using the \`matplotlib\` library. The resulting ... | 2 | 0 | 2023-04-26T13:42:32 | Killerx7c | false | null | 0 | jhs8bd6 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhs8bd6/ | false | 2 |
t1_jhs7elk | Seems like a real success. Can't wait for 13b and 30b.
For whatever it's worth, the 4_3 feels about 5x slower than 4_0 on my (soon to be retired) AVX only cpu. | 2 | 0 | 2023-04-26T13:35:43 | ambient_temp_xeno | false | 2023-04-26T14:58:35 | 0 | jhs7elk | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhs7elk/ | false | 2 |
t1_jhs5io9 | Lol have you tried it? I was using the HF demo extensively. It can't even distinguish between what you're saying and what it's saying. It's really really bad. | 1 | 0 | 2023-04-26T13:21:12 | pepe256 | false | null | 0 | jhs5io9 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhs5io9/ | false | 1 |
t1_jhs5bkk | Hey all, thanks for sharing! The project is coming along better each day and getting more testing and improvements with each update. It is much better than it was 5 days ago for sure!
[https://github.com/Josh-XT/Agent-LLM](https://github.com/Josh-XT/Agent-LLM) | 2 | 0 | 2023-04-26T13:19:42 | AsphyxiaXT | false | null | 0 | jhs5bkk | false | /r/LocalLLaMA/comments/12una2g/agentllm_is_working_autogpt_with_llamacpp_and/jhs5bkk/ | false | 2 |
t1_jhs40gd | I have done little testing.
There is 18 question in u/aigoopy test that no model got right, I asked thous 18 to Wizard's web demo and it manged to get one right (Who is Vladimir Nabokov?) and danced around the correct answer in a couple.
Note that i do not know the sampling parameters used in the test and quantiz... | 3 | 0 | 2023-04-26T13:09:26 | AlphaPrime90 | false | null | 0 | jhs40gd | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhs40gd/ | false | 3 |
t1_jhs2zq9 | You’re the best =] | 2 | 0 | 2023-04-26T13:01:19 | disarmyouwitha | false | null | 0 | jhs2zq9 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhs2zq9/ | false | 2 |
t1_jhs29uo | Right. There’s also something called Bloom that was released. 176b, over 300gb I think. Someone ran it on a CPU and makes 65b look speedy. | 1 | 0 | 2023-04-26T12:55:30 | Susp-icious_-31User | false | null | 0 | jhs29uo | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhs29uo/ | false | 1 |
t1_jhs20uv | Thanks, much appreciated.
I know why LLMs can't write a good, complex story from scratch : they are unable to plan :
[https://youtu.be/qbIk7-JPB2c?t=918](https://youtu.be/qbIk7-JPB2c?t=918) | 1 | 0 | 2023-04-26T12:53:29 | drifter_VR | false | null | 0 | jhs20uv | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jhs20uv/ | false | 1 |
t1_jhs1zbl | damn | 1 | 0 | 2023-04-26T12:53:08 | dealingwitholddata | false | null | 0 | jhs1zbl | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhs1zbl/ | false | 1 |
t1_jhs1ryn | Ah, that makes sense, though I had no idea how good LLama was at the high-end. When you say 175b I assume you're referring to GPT-3*?
I ask because I just searched, and sure enough meta has an OPT-175b as well! (Perhaps not part of the leaked models.) | 1 | 0 | 2023-04-26T12:51:29 | randomqhacker | false | null | 0 | jhs1ryn | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhs1ryn/ | false | 1 |
t1_jhs0cmy | Does this have a chance of running on a good old Nvidia 1080? It has 8GB VRAM but by now I'm not even sure if its architecture is compatible or whatever else i might not think of. | 3 | 0 | 2023-04-26T12:39:30 | involviert | false | 2023-04-26T14:29:04 | 0 | jhs0cmy | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhs0cmy/ | false | 3 |
t1_jhrxnwe | Yes, me too. That's the "q4" in the model description i used. Thanks for trying to help though! | 1 | 0 | 2023-04-26T12:15:47 | involviert | false | null | 0 | jhrxnwe | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhrxnwe/ | false | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.