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implement local Nomic Embed via llama.cpp (#2086)

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Signed-off-by: Jared Van Bortel <jared@nomic.ai>
This commit is contained in:
Jared Van Bortel
2024-03-13 18:09:24 -04:00
committed by GitHub
parent 171f4e488e
commit 406e88b59a
23 changed files with 799 additions and 1198 deletions
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25
gpt4all-backend/llamamodel_impl.h
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@@ -11,15 +11,18 @@
#include "llmodel.h"
struct LLamaPrivate;
struct EmbModelSpec;
class LLamaModel : public LLModel {
public:
LLamaModel();
~LLamaModel();
bool supportsEmbedding() const override { return false; }
bool supportsCompletion() const override { return true; }
bool supportsEmbedding() const override { return m_supportsEmbedding; }
bool supportsCompletion() const override { return m_supportsCompletion; }
bool loadModel(const std::string &modelPath, int n_ctx, int ngl) override;
bool isModelBlacklisted(const std::string &modelPath) override;
bool isModelBlacklisted(const std::string &modelPath) const override;
bool isEmbeddingModel(const std::string &modelPath) const override;
bool isModelLoaded() const override;
size_t requiredMem(const std::string &modelPath, int n_ctx, int ngl) override;
size_t stateSize() const override;
@@ -29,12 +32,22 @@ public:
int32_t threadCount() const override;
std::vector<GPUDevice> availableGPUDevices(size_t memoryRequired) const override;
bool initializeGPUDevice(size_t memoryRequired, const std::string &name) const override;
bool initializeGPUDevice(int device, std::string *unavail_reason) const override;
bool initializeGPUDevice(int device, std::string *unavail_reason = nullptr) const override;
bool hasGPUDevice() override;
bool usingGPUDevice() override;
size_t embeddingSize() const override;
// user-specified prefix
void embed(const std::vector<std::string> &texts, float *embeddings, std::optional<std::string> prefix,
int dimensionality = -1, bool doMean = true, bool atlas = false) override;
// automatic prefix
void embed(const std::vector<std::string> &texts, float *embeddings, bool isRetrieval, int dimensionality = -1,
bool doMean = true, bool atlas = false) override;
private:
std::unique_ptr<LLamaPrivate> d_ptr;
bool m_supportsEmbedding = false;
bool m_supportsCompletion = false;
protected:
std::vector<Token> tokenize(PromptContext &ctx, const std::string &str, bool special) const override;
@@ -44,9 +57,11 @@ protected:
int32_t contextLength() const override;
const std::vector<Token> &endTokens() const override;
bool shouldAddBOS() const override;
int32_t maxContextLength(std::string const &modelPath) const override;
int32_t layerCount(std::string const &modelPath) const override;
void embedInternal(const std::vector<std::string> &texts, float *embeddings, std::string prefix, int dimensionality,
bool doMean, bool atlas, const EmbModelSpec *spec);
};
#endif // LLAMAMODEL_H