Class: LlamaModel

Defined in: evaluator/LlamaModel/LlamaModel.ts:144

Properties

tokenizer

readonly tokenizer: Tokenizer;

Defined in: evaluator/LlamaModel/LlamaModel.ts:167

---

onDispose

readonly onDispose: EventRelay<void>;

Defined in: evaluator/LlamaModel/LlamaModel.ts:168

Accessors

disposed

Get Signature

get disposed(): boolean

Defined in: evaluator/LlamaModel/LlamaModel.ts:273

Returns

boolean

---

tokens

Get Signature

get tokens(): LlamaModelTokens

Defined in: evaluator/LlamaModel/LlamaModel.ts:277

Returns

LlamaModelTokens

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filename

Get Signature

get filename(): undefined | string

Defined in: evaluator/LlamaModel/LlamaModel.ts:281

Returns

undefined | string

---

fileInfo

Get Signature

get fileInfo(): GgufFileInfo

Defined in: evaluator/LlamaModel/LlamaModel.ts:285

Returns

GgufFileInfo

---

fileInsights

Get Signature

get fileInsights(): GgufInsights

Defined in: evaluator/LlamaModel/LlamaModel.ts:289

Returns

GgufInsights

---

gpuLayers

Get Signature

get gpuLayers(): number

Defined in: evaluator/LlamaModel/LlamaModel.ts:297

Number of layers offloaded to the GPU. If GPU support is disabled, this will always be 0.

Returns

number

---

size

Get Signature

get size(): number

Defined in: evaluator/LlamaModel/LlamaModel.ts:306

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.

Returns

number

---

flashAttentionSupported

Get Signature

get flashAttentionSupported(): boolean

Defined in: evaluator/LlamaModel/LlamaModel.ts:312

Returns

boolean

---

defaultContextFlashAttention

Get Signature

get defaultContextFlashAttention(): boolean

Defined in: evaluator/LlamaModel/LlamaModel.ts:316

Returns

boolean

---

trainContextSize

Get Signature

get trainContextSize(): number

Defined in: evaluator/LlamaModel/LlamaModel.ts:605

The context size the model was trained on

Returns

number

---

embeddingVectorSize

Get Signature

get embeddingVectorSize(): number

Defined in: evaluator/LlamaModel/LlamaModel.ts:615

The size of an embedding vector the model can produce

Returns

number

---

vocabularyType

Get Signature

get vocabularyType(): LlamaVocabularyType

Defined in: evaluator/LlamaModel/LlamaModel.ts:624

Returns

LlamaVocabularyType

Methods

dispose()

dispose(): Promise<void>

Defined in: evaluator/LlamaModel/LlamaModel.ts:259

Returns

Promise<void>

---

tokenize()

Call Signature

tokenize(
   text: string, 
   specialTokens?: boolean, 
   options?: "trimLeadingSpace"): Token[]

Defined in: evaluator/LlamaModel/LlamaModel.ts:330

Transform text into tokens that can be fed to the model

Parameters

Parameter	Type	Description
text	string	the text to tokenize
specialTokens?	boolean	if set to true, text that correspond to special tokens will be tokenized to those tokens. For example, <s> will be tokenized to the BOS token if specialTokens is set to true, otherwise it will be tokenized to tokens that corresponds to the plaintext <s> string.
options?	"trimLeadingSpace"	additional options for tokenization. If set to "trimLeadingSpace", a leading space will be trimmed from the tokenized output if the output has an additional space at the beginning.

Returns

Token[]

Call Signature

tokenize(text: BuiltinSpecialTokenValue, specialTokens: "builtin"): Token[]

Defined in: evaluator/LlamaModel/LlamaModel.ts:331

Transform text into tokens that can be fed to the model

Parameters

Parameter	Type	Description
text	BuiltinSpecialTokenValue	the text to tokenize
specialTokens	"builtin"	if set to true, text that correspond to special tokens will be tokenized to those tokens. For example, <s> will be tokenized to the BOS token if specialTokens is set to true, otherwise it will be tokenized to tokens that corresponds to the plaintext <s> string.

Returns

Token[]

---

detokenize()

detokenize(
   tokens: readonly Token[], 
   specialTokens?: boolean, 
   lastTokens?: readonly Token[]): string

Defined in: evaluator/LlamaModel/LlamaModel.ts:445

Transform tokens into text

Parameters

Parameter	Type	Default value	Description
tokens	readonly Token[]	undefined	the tokens to detokenize.
specialTokens?	boolean	false	if set to true, special tokens will be detokenized to their corresponding token text representation. Recommended for debugging purposes only. > Note: there may be additional spaces around special tokens that were not present in the original text - this is not a bug, this is how the tokenizer is supposed to work. Defaults to false.
lastTokens?	readonly Token[]	undefined	the last few tokens that preceded the tokens to detokenize. If provided, the last few tokens will be used to determine whether a space has to be added before the current tokens or not, and apply other detokenizer-specific heuristics to provide the correct text continuation to the existing tokens. Using it may have no effect with some models, but it is still recommended.

Returns

string

---

getTokenAttributes()

getTokenAttributes(token: Token): TokenAttributes

Defined in: evaluator/LlamaModel/LlamaModel.ts:466

Parameters

Parameter	Type
token	Token

Returns

TokenAttributes

---

isSpecialToken()

isSpecialToken(token: undefined | Token): boolean

Defined in: evaluator/LlamaModel/LlamaModel.ts:477

Check whether the given token is a special token (a control-type token or a token with no normal text representation)

Parameters

Parameter	Type
token	undefined | Token

Returns

boolean

---

iterateAllTokens()

iterateAllTokens(): Generator<Token, void>

Defined in: evaluator/LlamaModel/LlamaModel.ts:492

Returns

Generator<Token, void>

---

isEogToken()

isEogToken(token: undefined | Token): boolean

Defined in: evaluator/LlamaModel/LlamaModel.ts:505

Check whether the given token is an EOG (End Of Generation) token, like EOS or EOT.

Parameters

Parameter	Type
token	undefined | Token

Returns

boolean

---

createContext()

createContext(options: LlamaContextOptions): Promise<LlamaContext>

Defined in: evaluator/LlamaModel/LlamaModel.ts:512

Parameters

Parameter	Type
options	LlamaContextOptions

Returns

Promise<LlamaContext>

---

createEmbeddingContext()

createEmbeddingContext(options: LlamaEmbeddingContextOptions): Promise<LlamaEmbeddingContext>

Defined in: evaluator/LlamaModel/LlamaModel.ts:529

Parameters

Parameter	Type
options	LlamaEmbeddingContextOptions

Returns

Promise<LlamaEmbeddingContext>

See

Using Embedding tutorial

---

createRankingContext()

createRankingContext(options: LlamaRankingContextOptions): Promise<LlamaRankingContext>

Defined in: evaluator/LlamaModel/LlamaModel.ts:539

Parameters

Parameter	Type
options	LlamaRankingContextOptions

Returns

Promise<LlamaRankingContext>

See

Reranking Documents tutorial

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getWarnings()

getWarnings(): string[]

Defined in: evaluator/LlamaModel/LlamaModel.ts:551

Get warnings about the model file that would affect its usage.

These warnings include all the warnings generated by GgufInsights, but are more comprehensive.

Returns

string[]