repo_name string | dataset string | owner string | lang string | func_name string | code string | docstring string | url string | sha string |
|---|---|---|---|---|---|---|---|---|
node-llama-cpp | github_2023 | withcatai | typescript | LlamaCompletion.generateInfillCompletion | public async generateInfillCompletion(
prefixInput: Token[] | string | LlamaText,
suffixInput: Token[] | string | LlamaText,
options: LlamaInfillGenerationOptions = {}
) {
const {response} = await this.generateInfillCompletionWithMeta(prefixInput, suffixInput, options);
retu... | /**
* Infill (also known as Fill-In-Middle), generates a completion for an input (`prefixInput`) that
* should connect to a given continuation (`suffixInput`).
* For example, for `prefixInput: "123"` and `suffixInput: "789"`, the model is expected to generate `456`
* to make the final text be `12345... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaCompletion.ts#L372-L380 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaCompletion.generateInfillCompletionWithMeta | public async generateInfillCompletionWithMeta(
prefixInput: Token[] | string | LlamaText,
suffixInput: Token[] | string | LlamaText,
{
onTextChunk,
onToken,
signal,
maxTokens,
temperature,
minP,
topK,
... | /**
* Same as `generateInfillCompletion`, but returns additional metadata about the generation.
* See `generateInfillCompletion` for more information.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaCompletion.ts#L386-L565 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaCompletion._generateResponse | private async _generateResponse(
tokens: Token[],
{
onTextChunk,
onToken,
signal,
maxTokens,
temperature,
minP,
topK,
topP,
seed,
trimWhitespaceSuffix = false,
repeatPenalt... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaCompletion.ts#L568-L832 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaEmbedding.calculateCosineSimilarity | public calculateCosineSimilarity(other: LlamaEmbedding | LlamaEmbeddingJSON | readonly number[]) {
const otherVector = other instanceof Array
? other
: other.vector;
if (otherVector == null)
throw new Error("Other vector is null");
else if (otherVector.length... | /**
* Calculates the cosine similarity between this embedding and another embedding.
*
* Note that you should only compare embeddings created by the exact same model file.
* @returns A value between 0 and 1 representing the similarity between the embedding vectors,
* where 1 means the embedding... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaEmbedding.ts#L31-L63 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaEmbeddingContext._create | public static async _create({
_model
}: {
_model: LlamaModel
}, {
contextSize,
batchSize,
threads = 6,
createSignal,
ignoreMemorySafetyChecks
}: LlamaEmbeddingContextOptions) {
if (_model.fileInsights.hasEncoder && _model.fileInsights.hasDecode... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaEmbeddingContext.ts#L138-L164 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaGrammar.constructor | public constructor(llama: Llama, {
grammar, stopGenerationTriggers = [], trimWhitespaceSuffix = false, rootRuleName = "root"
}: LlamaGrammarOptions) {
this._llama = llama;
this._grammar = new this._llama._bindings.AddonGrammar(grammar, {
addonExports: this._llama._bindings,
... | /**
* > GBNF files are supported.
* > More info here: [
* github:ggerganov/llama.cpp:grammars/README.md
* ](https://github.com/ggerganov/llama.cpp/blob/f5fe98d11bdf9e7797bcfb05c0c3601ffc4b9d26/grammars/README.md)
*
* Prefer to create a new instance of this class by using `llama.createGramm... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaGrammar.ts#L50-L62 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaGrammar._testText | public _testText(text: string): boolean {
return this._grammar.isTextCompatible(String(text));
} | /**
* Test if the given text is compatible with the grammar.
* @internal
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaGrammar.ts#L84-L86 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaGrammarEvaluationState.clone | public clone(): LlamaGrammarEvaluationState {
return new LlamaGrammarEvaluationState(this);
} | /** Clone the grammar evaluation state */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaGrammarEvaluationState.ts#L41-L43 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaJsonSchemaGrammar.constructor | public constructor(llama: Llama, schema: Readonly<T>) {
const grammar = getGbnfGrammarForGbnfJsonSchema(schema);
super(llama, {
grammar,
stopGenerationTriggers: [LlamaText(["\n".repeat(4)])],
trimWhitespaceSuffix: true
});
this._schema = schema;
... | /**
* Prefer to create a new instance of this class by using `llama.createGrammarForJsonSchema(...)`.
* @deprecated Use `llama.createGrammarForJsonSchema(...)` instead.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaJsonSchemaGrammar.ts#L20-L30 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaRankingContext.rank | public async rank(query: Token[] | string | LlamaText, document: Token[] | string | LlamaText) {
if (this.model.tokens.bos == null || this.model.tokens.eos == null || this.model.tokens.sep == null)
throw new Error("Computing rankings is not supported for this model.");
const resolvedInput =... | /**
* Get the ranking score for a document for a query.
*
* A ranking score is a number between 0 and 1 representing the probability that the document is relevant to the query.
* @returns a ranking score between 0 and 1 representing the probability that the document is relevant to the query.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaRankingContext.ts#L83-L97 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaRankingContext.rankAll | public async rankAll(query: Token[] | string | LlamaText, documents: Array<Token[] | string | LlamaText>): Promise<number[]> {
const resolvedTokens = documents.map((document) => this._getEvaluationInput(query, document));
const maxInputTokensLength = resolvedTokens.reduce((max, tokens) => Math.max(max, ... | /**
* Get the ranking scores for all the given documents for a query.
*
* A ranking score is a number between 0 and 1 representing the probability that the document is relevant to the query.
* @returns an array of ranking scores between 0 and 1 representing the probability that the document is relev... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaRankingContext.ts#L105-L121 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaRankingContext.rankAndSort | public async rankAndSort<const T extends string>(query: Token[] | string | LlamaText, documents: T[]): Promise<Array<{
document: T,
/**
* A ranking score is a number between 0 and 1 representing the probability that the document is relevant to the query.
*/
score: number
}... | /**
* Get the ranking scores for all the given documents for a query and sort them by score from highest to lowest.
*
* A ranking score is a number between 0 and 1 representing the probability that the document is relevant to the query.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaRankingContext.ts#L128-L141 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaRankingContext._getEvaluationInput | private _getEvaluationInput(query: Token[] | string | LlamaText, document: Token[] | string | LlamaText) {
if (this.model.tokens.bos == null || this.model.tokens.eos == null || this.model.tokens.sep == null)
throw new Error("Computing rankings is not supported for this model.");
const resol... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaRankingContext.ts#L161-L181 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaRankingContext._evaluateRankingForInput | private _evaluateRankingForInput(input: Token[]): Promise<number> {
if (input.length === 0)
return Promise.resolve(0);
return withLock(this, "evaluate", async () => {
await this._sequence.eraseContextTokenRanges([{
start: 0,
end: this._sequence.ne... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaRankingContext.ts#L184-L209 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaRankingContext._create | public static async _create({
_model
}: {
_model: LlamaModel
}, {
contextSize,
batchSize,
threads = 6,
createSignal,
ignoreMemorySafetyChecks
}: LlamaRankingContextOptions) {
const tensorInfo = _model.fileInfo.tensorInfo;
if (_model.to... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaRankingContext.ts#L212-L252 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenBias.set | public set(input: Token | Token[] | string | LlamaText, bias: "never" | number | {logit: number}) {
const resolvedLogit = bias === "never"
? -Infinity
: typeof bias === "number"
? probabilityToLogit(bias)
: bias.logit;
for (const token of tokenize... | /**
* Adjust the bias of the given token(s).
*
* If a text is provided, the bias will be applied to each individual token in the text.
*
* Setting a bias to `"never"` will prevent the token from being generated, unless it is required to comply with a grammar.
*
* Setting the bias of t... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenBias.ts#L41-L63 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.usedInputTokens | public get usedInputTokens() {
return this._inputTokens;
} | /**
* The number of input tokens used
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L11-L13 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.usedOutputTokens | public get usedOutputTokens() {
return this._outputTokens;
} | /**
* The number of tokens generated by a model
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L18-L20 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.getState | public getState(): TokenMeterState {
return {
usedInputTokens: this.usedInputTokens,
usedOutputTokens: this.usedOutputTokens
};
} | /**
* Get the current state of the token meter
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L25-L30 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.useTokens | public useTokens(tokens: number, type: "input" | "output") {
if (tokens < 0)
throw new RangeError("Tokens cannot be negative");
else if (tokens === 0)
return;
if (type === "input")
this._inputTokens += tokens;
else if (type === "output")
t... | /**
* Log the usage of tokens
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L35-L49 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.diff | public diff(meter: TokenMeter | TokenMeterState) {
return TokenMeter.diff(this, meter);
} | /**
* Get the difference between the current meter and another meter
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L54-L56 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.useTokens | public static useTokens(
meters: null | undefined | TokenMeter | readonly TokenMeter[] | ReadonlySet<TokenMeter>,
tokens: number,
type: "input" | "output"
) {
if (meters == null)
return;
if (meters instanceof TokenMeter)
meters.useTokens(tokens, type)... | /**
* Log the usage of tokens on multiple meters
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L61-L75 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | TokenMeter.diff | public static diff(
meter1: TokenMeter | TokenMeterState,
meter2: TokenMeter | TokenMeterState
) {
return {
usedInputTokens: meter1.usedInputTokens - meter2.usedInputTokens,
usedOutputTokens: meter1.usedOutputTokens - meter2.usedOutputTokens
};
} | /**
* Get the difference between two meters
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/TokenMeter.ts#L80-L88 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession.promptWithMeta | public async promptWithMeta<const Functions extends ChatSessionModelFunctions | undefined = undefined>(prompt: string, {
functions,
documentFunctionParams,
maxParallelFunctionCalls,
onTextChunk,
onToken,
signal,
stopOnAbortSignal = false,
maxTokens,
... | /**
* @param prompt
* @param [options]
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L441-L689 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession.preloadPrompt | public async preloadPrompt(prompt: string, options: LLamaChatPreloadPromptOptions = {}): Promise<void> {
await this.completePromptWithMeta(prompt, {
...options,
maxTokens: 0
});
} | /**
* Preload a user prompt into the current context sequence state to make later inference of the model response begin sooner
* and feel faster.
*
* > **Note:** Preloading a long user prompt can incur context shifts, so consider limiting the length of prompts you preload
* @param prompt - the ... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L699-L704 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession.completePrompt | public async completePrompt(prompt: string, options: LLamaChatCompletePromptOptions = {}): Promise<string> {
const {completion} = await this.completePromptWithMeta(prompt, options);
return completion;
} | /**
* Preload a user prompt into the current context sequence state and generate a completion for it.
*
* > **Note:** Preloading a long user prompt and completing a user prompt with a high number of `maxTokens` can incur context shifts,
* > so consider limiting the length of prompts you preload.
... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L716-L720 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession.createPromptCompletionEngine | public createPromptCompletionEngine(options?: LLamaChatPromptCompletionEngineOptions) {
return LlamaChatSessionPromptCompletionEngine._create(this, options);
} | /**
* Create a smart completion engine that caches the prompt completions
* and reuses them when the user prompt matches the beginning of the cached prompt or completion.
*
* All completions are made and cache is used only for the current chat session state.
* You can create a single completion... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L729-L731 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession.completePromptWithMeta | public async completePromptWithMeta(prompt: string, {
maxTokens,
stopOnAbortSignal = false,
functions,
documentFunctionParams,
onTextChunk,
onToken,
signal,
temperature,
minP,
topK,
topP,
seed,
grammar,
trim... | /**
* See `completePrompt` for more information.
* @param prompt
* @param [options]
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L738-L836 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession.resetChatHistory | public resetChatHistory() {
if (this._chat == null || this.disposed)
throw new DisposedError();
const chatWrapperSupportsSystemMessages = this._chat.chatWrapper.settings.supportsSystemMessages;
if (chatWrapperSupportsSystemMessages == null || chatWrapperSupportsSystemMessages || thi... | /** Clear the chat history and reset it to the initial state. */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L856-L867 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession._stopAllPreloadAndPromptCompletions | private _stopAllPreloadAndPromptCompletions() {
for (const abortController of this._preloadAndCompleteAbortControllers)
abortController.abort();
this._preloadAndCompleteAbortControllers.clear();
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L870-L875 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSession._ensureNotDisposed | private _ensureNotDisposed() {
if (this.disposed)
throw new DisposedError();
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/LlamaChatSession.ts#L878-L881 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSessionPromptCompletionEngine.complete | public complete(prompt: string): string {
if (this._disposed)
throw new DisposedError();
const completionCache = this._getCurrentCompletionCache();
const completion = completionCache.getCompletion(prompt);
if (this._lastPrompt == null || !(this._lastPrompt + (completion ??... | /**
* Get completion for the prompt from the cache,
* and begin preloading this prompt into the context sequence and completing it.
*
* On completion progress, `onGeneration` (configured for this engine instance) will be called.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts#L89-L105 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSessionPromptCompletionEngine._getCurrentCompletionCache | private _getCurrentCompletionCache() {
const completionCache = this._completionCaches.get(this._chatSession._chatHistoryStateRef);
if (completionCache != null)
return completionCache;
const newCompletionCache = new CompletionCache(this._maxCachedCompletions);
this._completi... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts#L108-L117 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSessionPromptCompletionEngine._restartCompletion | private _restartCompletion(completionCache: CompletionCache) {
if (this._disposed)
return;
this._currentCompletionAbortController.abort();
this._currentCompletionAbortController = new AbortController();
const prompt = this._lastPrompt;
if (prompt == null)
... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts#L120-L172 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaChatSessionPromptCompletionEngine._create | public static _create(chatSession: LlamaChatSession, options: LLamaChatPromptCompletionEngineOptions = {}) {
return new LlamaChatSessionPromptCompletionEngine(chatSession, options);
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts#L175-L177 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | CompletionCache._deleteInput | private _deleteInput(input: string) {
let lastNodeWithMultipleChildren: InputNode = this._rootNode;
let lastNodeWithMultipleChildrenDeleteChar: string = input[0]!;
let node = this._rootNode;
for (let i = 0; i < input.length; i++) {
const [next] = node;
const char... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.ts#L251-L273 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext.stateSize | public get stateSize() {
this._ensureNotDisposed();
return this._ctx.getStateSize();
} | /**
* The actual size of the state in the memory in bytes.
* This value is provided by `llama.cpp` and doesn't include all the memory overhead of the context.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L206-L210 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext.currentThreads | public get currentThreads() {
this._ensureNotDisposed();
return this._ctx.getThreads();
} | /** The number of threads currently used to evaluate tokens */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L213-L217 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext.idealThreads | public get idealThreads() {
return this._idealThreads;
} | /**
* The number of threads that are preferred to be used to evaluate tokens.
*
* The actual number of threads used may be lower when other evaluations are running in parallel.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L224-L226 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext.getSequence | public getSequence(options: {
contextShift?: ContextShiftOptions,
/**
* Token predictor to use for the sequence.
* Don't share the same token predictor between multiple sequences.
*
* Using a token predictor doesn't affect the generation output itself -
* it... | /**
* Before calling this method, make sure to call `sequencesLeft` to check if there are any sequences left.
* When there are no sequences left, this method will throw an error.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L249-L298 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext.printTimings | public async printTimings() {
this._ensureNotDisposed();
if (!this._performanceTracking)
throw new UnsupportedError("Performance tracking is not enabled");
this._ctx.printTimings();
await new Promise((accept) => setTimeout(accept, 0)); // wait for the logs to finish printin... | /**
* Print the timings of token evaluation since that last print for this context.
*
* Requires the `performanceTracking` option to be enabled.
*
* > **Note:** it prints on the `LlamaLogLevel.info` level, so if you set the level of your `Llama` instance higher than that,
* it won't print ... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L608-L616 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._decodeTokens | public async _decodeTokens<T>({
sequenceId, firstTokenSequenceIndex, tokens, logits, evaluationPriority = defaultEvaluationPriority, tokenMeter
}: {
sequenceId: number, firstTokenSequenceIndex: number, tokens: Token[], logits: (true | undefined)[],
evaluationPriority?: EvaluationPriority, to... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L619-L640 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._reclaimUnusedSequenceId | public _reclaimUnusedSequenceId(sequenceId: number) {
if (this._disposed)
return;
void withLock(this, "context", async () => {
if (this._disposed)
return;
this._ctx.disposeSequence(sequenceId);
this._unusedSequenceIds.push(sequenceId);
... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L643-L655 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._popSequenceId | private _popSequenceId(): number | null {
if (this._unusedSequenceIds.length > 0)
return this._unusedSequenceIds.shift()!;
if (this._nextGeneratedSequenceId < this._totalSequences) {
const sequenceId = this._nextGeneratedSequenceId;
this._nextGeneratedSequenceId++;
... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L658-L671 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._scheduleDecode | private _scheduleDecode() {
if (this._dispatchDecodeScheduled || this._batchDispatchPending)
return;
this._dispatchDecodeScheduled = true;
const currentPendingBatchHandle = this._currentDispatchBatchHandle;
const dispatch = () => {
if (this._currentDispatchBatch... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L674-L705 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._dispatchErrorForQueuedDecodesAndDequeue | private _dispatchErrorForQueuedDecodesAndDequeue(queuedDecodes: ReadonlySet<InternalQueuedDecode>, err: unknown) {
for (const pendingDecode of queuedDecodes) {
const [, reject] = pendingDecode.response;
reject(err);
}
for (let i = 0; i < this._queuedDecodes.length; i++) ... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L708-L722 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._ensureNotDisposed | private _ensureNotDisposed() {
if (this._disposed)
throw new DisposedError();
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L725-L728 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._setLora | private async _setLora({
filePath, scale
}: {
filePath: string, scale?: number
}) {
const lora = await this._model._getOrLoadLora(filePath);
this._ctx.setLora(lora, scale ?? defaultLoraScale);
if (!this._loraAdapters.has(lora)) {
this._loraAdapters.add(lora);... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L731-L743 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._reserveThreads | private _reserveThreads() {
clearTimeout(this._freeReservedThreadsTimeout);
delete this._freeReservedThreadsTimeout;
if (this._threadSplitterConsumer != null)
return;
this._threadSplitterConsumer = this._llama._threadsSplitter.createConsumer(this._idealThreads, this._minThr... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L746-L754 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._freeReservedThreads | private _freeReservedThreads() {
clearTimeout(this._freeReservedThreadsTimeout);
delete this._freeReservedThreadsTimeout;
if (this._threadSplitterConsumer == null)
return;
this._threadSplitterConsumer.dispose();
delete this._threadSplitterConsumer;
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L757-L766 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._scheduleToFreeReservedThreads | private _scheduleToFreeReservedThreads() {
if (this._threadSplitterConsumer == null)
return;
clearTimeout(this._freeReservedThreadsTimeout);
this._freeReservedThreadsTimeout = setTimeout(this._freeReservedThreads, 0);
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L769-L775 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContext._create | public static async _create(options: LlamaContextOptions, {_model}: {
_model: LlamaModel
}): Promise<LlamaContext> {
const sequences = options.sequences ?? getDefaultContextSequences();
const flashAttention = _model.flashAttentionSupported
? Boolean(options.flashAttention ?? _mod... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L778-L918 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.contextSize | public get contextSize() {
return this._context.contextSize;
} | /** The maximum number of tokens that the sequence state can hold */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1009-L1011 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.nextTokenIndex | public get nextTokenIndex() {
return this._nextTokenIndex - this._loadedTokenPredictions.length;
} | /** The index where the next evaluated token will be placed in the context */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1014-L1016 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.contextTokens | public get contextTokens() {
if (this._loadedTokenPredictions.length === 0)
return this._contextTokens.slice();
return this._contextTokens.slice(0, -this._loadedTokenPredictions.length);
} | /** The current context state tokens */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1019-L1024 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.tokenPredictor | public get tokenPredictor() {
return this._tokenPredictor;
} | /**
* The token predictor used when creating this sequence.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1033-L1035 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.tokenPredictions | public get tokenPredictions(): {
/** Number of token predictions that were actually used (tokens that were validated and then consumed) */
used: number,
/** Number of token predictions that were not used (tokens that were validated and were not consumed) */
unused: number,
/** ... | /**
* Statistics of token predictions using the sequence's `tokenPredictor`.
*
* The statistics change only when token prediction is used in this sequence.
*
* `validated` + `refuted` = total number of evaluated predictions.
*
* Prefer using `validated` and `refuted` to evaluate the e... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1046-L1065 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.adaptStateToTokens | public async adaptStateToTokens(tokens: Token[], allowShift: boolean = true) {
const modelSupportsShifting = !this.model.fileInsights.isRecurrent &&
this.model.fileInfo.metadata?.general?.architecture !== GgufArchitectureType.deepseek2;
if (!modelSupportsShifting || !allowShift) {
... | /**
* Erase parts of the context state to align it with the given tokens.
*
* If the given tokens do not align with the current context state, the context state will be erased to align with the given tokens.
*
* To find the first different token index between the context state and the given tok... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1098-L1144 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.clearHistory | public async clearHistory() {
this._ensureNotDisposed();
await this._eraseContextTokenRanges([{start: 0, end: this._nextTokenIndex}]);
} | /**
* Clear the history of the sequence.
* If `prependBos` was enabled, the BOS token will be prepended to the sequence again.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1150-L1154 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.eraseContextTokenRanges | public eraseContextTokenRanges(ranges: ContextTokensDeleteRange[]) {
return this._eraseContextTokenRanges(ranges);
} | /**
* Erase context tokens in the provided ranges to free up space for new tokens to be generated.
* The start of each range is inclusive, and the end of each range is exclusive.
* For example, the range `{start: 0, end: 1}` will remove the token at the `0` index only.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1161-L1163 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._eraseContextTokenRanges | private async _eraseContextTokenRanges(
ranges: ContextTokensDeleteRange[],
{
canResetTokenPredictor = true,
canRemovePredictionTokens = true,
skipLock = false
}: {
canResetTokenPredictor?: boolean,
canRemovePredictionTokens?: boolean,
... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1166-L1278 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.evaluate | public async *evaluate(tokens: Token[], options: SequenceEvaluateOptions = {}): AsyncGenerator<Token, void, void | Token | Token[]> {
const iterator = this.evaluateWithMetadata(tokens, {}, options);
let iterateInput: void | Token | Token[] = undefined;
try {
while (true) {
... | /**
* Evaluate the provided tokens into the context sequence, and continue generating new tokens on iterator iterations.
*
* This method uses the token predictor (when provided) to generate new tokens faster.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1285-L1300 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.evaluateWithMetadata | public evaluateWithMetadata<const Metadata extends SequenceEvaluateMetadataOptions>(
tokens: Token[],
metadata: Metadata,
options: SequenceEvaluateOptions = {}
): AsyncGenerator<SequenceEvaluateOutput<Metadata>, void, void | Token | Token[]> {
const {
temperature = 0,
... | /**
* Like {@link evaluate `.evaluate(...)`}, but with additional metadata for each generated token.
*
* Configure the additional metadata options to choose which metadata to include.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1307-L1368 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.evaluateWithoutGeneratingNewTokens | public async evaluateWithoutGeneratingNewTokens(tokens: Token[], options: {
/**
* When a lot of tokens are queued for the next batch, more than the configured `batchSize`, the tokens for each sequence will be
* evaluated based on the strategy chosen for the context.
* By default, the ... | /**
* Evaluate the provided tokens into the context sequence without generating new tokens.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1373-L1436 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence.controlledEvaluate | public async controlledEvaluate(input: ControlledEvaluateInputItem[], options?: {
/**
* When a lot of tokens are queued for the next batch, more than the configured `batchSize`, the tokens for each sequence will be
* evaluated based on the strategy chosen for the context.
* By default... | /**
* Evaluate the provided tokens into the context sequence with custom options for each token.
*
* This method allows for more precise control of the generation process.
*
* A next token will be generated for a given token only if any of the `generateNext` options for it are used.
*
... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1455-L1579 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._evaluate | private async *_evaluate<const Metadata extends SequenceEvaluateMetadataOptions>(tokens: Token[], metadata: Metadata, {
temperature,
minP,
topK,
topP,
seed,
grammarEvaluationState,
repeatPenalty,
tokenBias,
evaluationPriority = defaultEvaluationPri... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1582-L1717 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._speculativeEvaluate | private async *_speculativeEvaluate<const Metadata extends SequenceEvaluateMetadataOptions>(tokens: Token[], metadata: Metadata, {
temperature,
minP,
topK,
topP,
seed,
grammarEvaluationState,
repeatPenalty,
tokenBias,
evaluationPriority = defaultEv... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1720-L1985 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._abortTokenPredictor | private async _abortTokenPredictor(skipClearingPredictionsFromState: boolean = false, skipLock: boolean = false) {
this._tokenPredictor?.stop();
this._resetTokenPredictor = true;
if (skipClearingPredictionsFromState)
return;
if (this._loadedTokenPredictions.length > 0)
... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L1988-L2000 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._resolveSamplerConfig | private _resolveSamplerConfig({
temperature = 0,
minP = 0,
topK = 40,
topP = 0.95,
seed,
grammarEvaluationState,
repeatPenalty,
tokenBias
}: {
temperature?: number, minP?: number, topK?: number, topP?: number, seed?: number,
grammarEval... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L2003-L2057 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._decodeTokens | private async _decodeTokens<T>(
tokens: Token[],
logits: (true | undefined)[],
evaluationPriority: EvaluationPriority,
tokenMeter: TokenMeter,
contextShiftOptions: Required<ContextShiftOptions>,
logitDataMapper: ((batchLogitIndex: BatchLogitIndex, tokenIndex: number) => T... | /**
* The caller of this function has to wrap it with a lock to ensure this function doesn't run concurrently.
* @internal
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L2063-L2116 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._freeUpSpaceForTokens | private async _freeUpSpaceForTokens(contextShiftOptions: Required<ContextShiftOptions>) {
this._ensureNotDisposed();
const size = Math.min(
this._nextTokenIndex,
Math.max(
1,
contextShiftOptions.size instanceof Function
? await... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L2119-L2154 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaContextSequence._create | public static _create({
sequenceId, context, tokenMeter,
contextShift: {
size: contextShiftSize = Math.min(100, Math.ceil(context.contextSize / 2)),
strategy: contextShiftStrategy = "eraseBeginning"
} = {},
tokenPredictor
}: {
sequenceId: number,
... | /**
* We need this to make it impossible to manually create instances of this class outside the code of this library
* @internal
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaContext.ts#L2166-L2190 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaSampler._canBeNextTokenForGrammarEvaluationState | public static _canBeNextTokenForGrammarEvaluationState(
llama: Llama,
grammarEvaluationState: LlamaGrammarEvaluationState,
token: Token
) {
return llama._bindings.AddonSampler.canBeNextTokenForGrammarEvaluationState(
grammarEvaluationState._state,
token
... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaSampler.ts#L35-L44 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaSampler._acceptTokenOnGrammarEvaluationState | public static _acceptTokenOnGrammarEvaluationState(
llama: Llama,
grammarEvaluationState: LlamaGrammarEvaluationState,
token: Token
) {
llama._bindings.AddonSampler.acceptGrammarEvaluationStateToken(grammarEvaluationState._state, token);
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/LlamaSampler.ts#L47-L53 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | DraftSequenceTokenPredictor._canIterate | private _canIterate(): boolean {
return !this._disposed && !this._stopped && (this._predictedTokens.length < this._maxTokens || this._resetPredictions);
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts#L248-L250 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | DraftSequenceTokenPredictor._resume | private _resume() {
if (this._active || !this._canIterate())
return;
this._active = true;
void withLock(this, "evaluate", async () => {
try {
const abortSignal = this._currentEvaluationAbortController.signal;
if (!this._canIterate() || ab... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts#L253-L340 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | DraftSequenceTokenPredictor._getGrammarEvaluationStateWithTokens | private _getGrammarEvaluationStateWithTokens(tokens: Token[]) {
if (this._grammarEvaluationStateOption == null)
return undefined;
const clone = this._grammarEvaluationStateOption.clone();
for (const token of tokens) {
const canAddToken = LlamaSampler._canBeNextTokenForGr... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/tokenPredictors/DraftSequenceTokenPredictor.ts#L343-L361 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | InputLookupTokenPredictor._findLongestPatternIndex | private _findLongestPatternIndex(findIn: Token[], lookupPattern: Token[]): [index: number, length: number] | [] {
const checkIndexes: number[] = [];
let bestIndex = -1;
let bestIndexDiff = -1;
for (let i = findIn.length - this._predictionMinLength; i >= 0; i--) {
const token... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaContext/tokenPredictors/InputLookupTokenPredictor.ts#L178-L220 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.gpuLayers | public get gpuLayers(): number {
return this._gpuLayers;
} | /**
* Number of layers offloaded to the GPU.
* If GPU support is disabled, this will always be `0`.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L297-L299 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.size | public get size() {
this._ensureNotDisposed();
return this._model.getModelSize();
} | /**
* Total model size in memory in bytes.
*
* When using mmap, actual memory usage may be higher than this value due to `llama.cpp`'s performance optimizations.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L306-L310 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.detokenize | public detokenize(tokens: readonly Token[], specialTokens: boolean = false, lastTokens?: readonly Token[]): string {
this._ensureNotDisposed();
if (tokens.length === 0)
return "";
if (lastTokens == null || lastTokens.length === 0)
return this._model.detokenize(Uint32Arr... | /**
* Transform tokens into text
* @param tokens - the tokens to detokenize.
* @param [specialTokens] - if set to `true`, special tokens will be detokenized to their corresponding token text representation.
*
* Recommended for debugging purposes only.
*
* > **Note:** there may be addi... | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L445-L464 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.isSpecialToken | public isSpecialToken(token: Token | undefined): boolean {
if (token == null)
return false;
if (this.getTokenAttributes(token).control)
return true;
const normalText = this.detokenize([token], false);
if (normalText === "")
return this.detokenize([t... | /** Check whether the given token is a special token (a control-type token or a token with no normal text representation) */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L477-L490 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.isEogToken | public isEogToken(token: Token | undefined): boolean {
if (token == null)
return false;
return token === this.tokens.eos || token === this.tokens.eot || this._model.isEogToken(token);
} | /** Check whether the given token is an EOG (End Of Generation) token, like EOS or EOT. */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L505-L510 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.createEmbeddingContext | public async createEmbeddingContext(options: LlamaEmbeddingContextOptions = {}) {
if (this._vocabOnly)
throw new Error("Model is loaded in vocabOnly mode, so no context can be created");
return await LlamaEmbeddingContext._create({_model: this}, options);
} | /**
* @see [Using Embedding](https://node-llama-cpp.withcat.ai/guide/embedding) tutorial
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L529-L534 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.createRankingContext | public async createRankingContext(options: LlamaRankingContextOptions = {}) {
if (this._vocabOnly)
throw new Error("Model is loaded in vocabOnly mode, so no context can be created");
return await LlamaRankingContext._create({_model: this}, options);
} | /**
* @see [Reranking Documents](https://node-llama-cpp.withcat.ai/guide/embedding#reranking) tutorial
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L539-L544 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.getWarnings | public getWarnings() {
this._ensureNotDisposed();
const warnings = this._fileInsights.getWarnings(this._modelPath);
const modelFilePathText = `("${getReadablePath(this._modelPath)}")`;
try {
const beforeTextNoSpecialTokens = "some test text here";
const afterTex... | /**
* Get warnings about the model file that would affect its usage.
*
* These warnings include all the warnings generated by `GgufInsights`, but are more comprehensive.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L551-L592 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.typeDescription | public get typeDescription(): ModelTypeDescription {
this._ensureNotDisposed();
if (this._typeDescription == null)
this._typeDescription = this._model.getModelDescription();
return this._typeDescription;
} | /** @hidden `ModelTypeDescription` type alias is too long in the documentation */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L595-L602 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.trainContextSize | public get trainContextSize(): number {
this._ensureNotDisposed();
if (this._trainContextSize == null)
this._trainContextSize = this._model.getTrainContextSize();
return this._trainContextSize;
} | /** The context size the model was trained on */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L605-L612 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel.embeddingVectorSize | public get embeddingVectorSize(): number {
this._ensureNotDisposed();
if (this._embeddingVectorSize == null)
this._embeddingVectorSize = this._model.getEmbeddingVectorSize();
return this._embeddingVectorSize;
} | /** The size of an embedding vector the model can produce */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L615-L622 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelInfillTokens._ensureNotDisposed | private _ensureNotDisposed() {
if (this._disposedState.disposed)
throw new DisposedError();
} | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L641-L644 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel._getOrLoadLora | public async _getOrLoadLora(filePath: string) {
const resolvedPath = path.resolve(process.cwd(), filePath);
if (this._loraAdapters.has(resolvedPath))
return this._loraAdapters.get(resolvedPath)!;
return await withLock(this._loraAdapters, "modify", async () => {
if (this.... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L647-L662 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel._removeLoraUsage | public async _removeLoraUsage(loraAdapters: Set<AddonModelLora>) {
return await withLock(this._loraAdapters, "modify", async () => {
await Promise.all(
[...loraAdapters].map(async (lora) => {
lora.usages--;
if (lora.usages <= 0 && this._loraAd... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L665-L678 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModel._create | public static async _create(modelOptions: LlamaModelOptions, {
_llama
}: {
_llama: Llama
}) {
const {loadSignal, defaultContextFlashAttention} = modelOptions;
const useMmap = _llama.supportsMmap && (modelOptions.useMmap ?? defaultUseMmap);
const fileInfo = await readGguf... | /** @internal */ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L681-L770 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.infill | public get infill() {
this._ensureNotDisposed();
if (this._infillTokens == null)
this._infillTokens = LlamaModelInfillTokens._create(this._model, this._disposedState);
return this._infillTokens;
} | /**
* @returns infill tokens
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L798-L805 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.bos | public get bos(): Token | null {
this._ensureNotDisposed();
if (this._bosToken == null)
this._bosToken = this._model.tokenBos();
if (this._bosToken === -1)
return null;
return this._bosToken;
} | /**
* @returns The BOS (Beginning Of Sequence) token.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L810-L820 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.eos | public get eos(): Token | null {
this._ensureNotDisposed();
if (this._eosToken == null)
this._eosToken = this._model.tokenEos();
if (this._eosToken === -1)
return null;
return this._eosToken;
} | /**
* @returns The EOS (End Of Sequence) token.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L825-L835 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.eot | public get eot(): Token | null {
this._ensureNotDisposed();
if (this._eotToken == null)
this._eotToken = this._model.eotToken();
if (this._eotToken === -1)
return null;
return this._eotToken;
} | /**
* @returns The EOT (End Of Turn) token.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L840-L850 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.sep | public get sep(): Token | null {
this._ensureNotDisposed();
if (this._sepToken == null)
this._sepToken = this._model.sepToken();
if (this._sepToken === -1)
return null;
return this._sepToken;
} | /**
* @returns The SEP (Sentence Separator) token.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L855-L865 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.nl | public get nl(): Token | null {
this._ensureNotDisposed();
if (this._nlToken == null)
this._nlToken = this._model.tokenNl();
if (this._nlToken === -1)
return null;
return this._nlToken;
} | /**
* @returns The NL (New Line) token.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L870-L880 | 63a106627e1a8664ac335526c987522c94e87ce2 |
node-llama-cpp | github_2023 | withcatai | typescript | LlamaModelTokens.bosString | public get bosString(): string | null {
this._ensureNotDisposed();
const bosToken = this.bos;
if (bosToken == null)
return null;
if (this._bosString == null)
this._bosString = this._model.getTokenString(bosToken);
return this._bosString;
} | /**
* @returns The BOS (Beginning Of Sequence) token text representation.
*/ | https://github.com/withcatai/node-llama-cpp/blob/63a106627e1a8664ac335526c987522c94e87ce2/src/evaluator/LlamaModel/LlamaModel.ts#L885-L897 | 63a106627e1a8664ac335526c987522c94e87ce2 |
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