mirror of
https://github.com/nomic-ai/gpt4all
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b19a3e5b2c
most of these can just shortcut out of the model loading logic llama is a bit worse to deal with because we submodule it so I have to at least parse the hparams, and then I just use the size on disk as an estimate for the mem size (which seems reasonable since we mmap() the llama files anyway)
40 lines
1.3 KiB
C++
40 lines
1.3 KiB
C++
#ifndef MPT_H_I_KNOW_WHAT_I_AM_DOING_WHEN_INCLUDING_THIS_FILE
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#error This file is NOT meant to be included outside of mpt.cpp. Doing so is DANGEROUS. Be sure to know what you are doing before proceeding to #define MPT_H_I_KNOW_WHAT_I_AM_DOING_WHEN_INCLUDING_THIS_FILE
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#endif
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#ifndef MPT_H
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#define MPT_H
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#include <string>
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#include <functional>
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#include <vector>
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#include "llmodel.h"
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struct MPTPrivate;
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class MPT : public LLModel {
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public:
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MPT();
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~MPT();
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bool loadModel(const std::string &modelPath) override;
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bool isModelLoaded() const override;
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size_t requiredMem(const std::string &modelPath) override;
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size_t stateSize() const override;
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size_t saveState(uint8_t *dest) const override;
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size_t restoreState(const uint8_t *src) override;
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void setThreadCount(int32_t n_threads) override;
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int32_t threadCount() const override;
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private:
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MPTPrivate *d_ptr;
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protected:
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std::vector<Token> tokenize(PromptContext &, const std::string&) const override;
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std::string tokenToString(Token) const override;
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Token sampleToken(PromptContext &ctx) const override;
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bool evalTokens(PromptContext &ctx, const std::vector<int32_t> &tokens) const override;
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int32_t contextLength() const override;
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const std::vector<Token>& endTokens() const override;
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};
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#endif // MPT_H
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