spow12/ChatWaifu_2.0_vision
#1087
by Simba2026 - opened
README.md
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# To request a quant, open an new discussion in the Community tab (if possible with the full url somewhere in the title *AND* body)
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**We are currently nearing our (humongously large) storage limit on huggingface, and need to decide how to approach this. Most likely, by deleting lots of repositories**
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**You can search models, compare and download quants at https://hf.tst.eu/**
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**You can see the current quant status at https://hf.tst.eu/status.html**
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## How do you create imatrix files for really big models?
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## What do I need to do to compute imatrix files for large models?
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## So who is mradermacher?
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Nobody has asked this, but since there are people who really deserve mention, I'll put this here. "mradermacher" is just a
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pseudonymous throwaway account I created to goof around, but then started to quant models
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and contributed hardware, power and general support - practically all imatrix
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Then @Guilherme34 started to help getting access to models, and @RichardErkhov first gave us the wondrous
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FATLLAMA-1.7T, followed by access to his server to quant more models, likely to atone for his sins.
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handling model requests and model queuing, greatly reducing workload for the rest iof the team.
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So you should consider "mradermacher" to be the team name for a fictional character called Michael Radermacher.
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There are no connections
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# To request a quant, open an new discussion in the Community tab (if possible with the full url somewhere in the title *AND* body)
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**You can search models, compare and download quants at https://hf.tst.eu/**
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**You can see the current quant status at https://hf.tst.eu/status.html**
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## How do you create imatrix files for really big models?
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Through a combination of these ingenuous tricks:
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1. I am not above using a low quant (e.g. Q4_K_S, IQ3_XS or even Q2_K), reducing the size of the model.
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2. An nvme drive is "only" 25-50 times slower than RAM. I lock the first 80GB of the model in RAM, and
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then stream the remaining data from disk for every iteration.
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3. Patience.
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The few evaluations I have suggests that this gives good quality, and my current set-up allows me to
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generate imatrix data for most models in fp16, 70B in Q8_0 and almost everything else in Q4_K_S.
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The trick to 3 is not actually having patience, the trick is to automate things to the point where you
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don't have to wait for things normally. For example, if all goes well, quantizing a model requires just
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a single command (or less) for static quants, and for imatrix quants I need to select the source gguf
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and then run another command which handles download/computation/upload. Most of the time, I only have
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to do stuff when things go wrong (which, with llama.cpp being so buggy and hard to use,
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is unfortunately very frequent).
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## What do I need to do to compute imatrix files for large models?
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## So who is mradermacher?
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Nobody has asked this, but since there are people who really deserve mention, I'll put this here. "mradermacher" is just a
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pseudonymous throwaway account I created to goof around, but then started to quant models. A few months later, @nicoboss joined
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and contributed hardware, power and general support - practically all imatrix computatuions are done on his computer(s).
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Then @Guilherme34 started to help getting access to models, and @RichardErkhov first gave us the wondrous
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FATLLAMA-1.7T, followed by access to his server to quant more models, likely to atone for his sins.
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So you should consider "mradermacher" to be the team name for a fictional character called Michael Radermacher.
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There are no connections ot anything else on the internet, other than an mradermacher_hf account on reddit.
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