@@ -114,8 +114,7 @@ public InferenceParameters setInputSuffix(String inputSuffix) {
114114 * @return this builder
115115 */
116116 public InferenceParameters setCachePrompt (boolean cachePrompt ) {
117- parameters .put (PARAM_CACHE_PROMPT , String .valueOf (cachePrompt ));
118- return this ;
117+ return putScalar (PARAM_CACHE_PROMPT , cachePrompt );
119118 }
120119
121120 /**
@@ -125,8 +124,7 @@ public InferenceParameters setCachePrompt(boolean cachePrompt) {
125124 * @return this builder
126125 */
127126 public InferenceParameters setNPredict (int nPredict ) {
128- parameters .put (PARAM_N_PREDICT , String .valueOf (nPredict ));
129- return this ;
127+ return putScalar (PARAM_N_PREDICT , nPredict );
130128 }
131129
132130 /**
@@ -136,8 +134,7 @@ public InferenceParameters setNPredict(int nPredict) {
136134 * @return this builder
137135 */
138136 public InferenceParameters setTopK (int topK ) {
139- parameters .put (PARAM_TOP_K , String .valueOf (topK ));
140- return this ;
137+ return putScalar (PARAM_TOP_K , topK );
141138 }
142139
143140 /**
@@ -147,8 +144,7 @@ public InferenceParameters setTopK(int topK) {
147144 * @return this builder
148145 */
149146 public InferenceParameters setTopP (float topP ) {
150- parameters .put (PARAM_TOP_P , String .valueOf (topP ));
151- return this ;
147+ return putScalar (PARAM_TOP_P , topP );
152148 }
153149
154150 /**
@@ -158,8 +154,7 @@ public InferenceParameters setTopP(float topP) {
158154 * @return this builder
159155 */
160156 public InferenceParameters setMinP (float minP ) {
161- parameters .put (PARAM_MIN_P , String .valueOf (minP ));
162- return this ;
157+ return putScalar (PARAM_MIN_P , minP );
163158 }
164159
165160 /**
@@ -169,8 +164,7 @@ public InferenceParameters setMinP(float minP) {
169164 * @return this builder
170165 */
171166 public InferenceParameters setTfsZ (float tfsZ ) {
172- parameters .put (PARAM_TFS_Z , String .valueOf (tfsZ ));
173- return this ;
167+ return putScalar (PARAM_TFS_Z , tfsZ );
174168 }
175169
176170 /**
@@ -180,8 +174,7 @@ public InferenceParameters setTfsZ(float tfsZ) {
180174 * @return this builder
181175 */
182176 public InferenceParameters setTypicalP (float typicalP ) {
183- parameters .put (PARAM_TYPICAL_P , String .valueOf (typicalP ));
184- return this ;
177+ return putScalar (PARAM_TYPICAL_P , typicalP );
185178 }
186179
187180 /**
@@ -191,8 +184,7 @@ public InferenceParameters setTypicalP(float typicalP) {
191184 * @return this builder
192185 */
193186 public InferenceParameters setTemperature (float temperature ) {
194- parameters .put (PARAM_TEMPERATURE , String .valueOf (temperature ));
195- return this ;
187+ return putScalar (PARAM_TEMPERATURE , temperature );
196188 }
197189
198190 /**
@@ -202,8 +194,7 @@ public InferenceParameters setTemperature(float temperature) {
202194 * @return this builder
203195 */
204196 public InferenceParameters setDynamicTemperatureRange (float dynatempRange ) {
205- parameters .put (PARAM_DYNATEMP_RANGE , String .valueOf (dynatempRange ));
206- return this ;
197+ return putScalar (PARAM_DYNATEMP_RANGE , dynatempRange );
207198 }
208199
209200 /**
@@ -213,8 +204,7 @@ public InferenceParameters setDynamicTemperatureRange(float dynatempRange) {
213204 * @return this builder
214205 */
215206 public InferenceParameters setDynamicTemperatureExponent (float dynatempExponent ) {
216- parameters .put (PARAM_DYNATEMP_EXPONENT , String .valueOf (dynatempExponent ));
217- return this ;
207+ return putScalar (PARAM_DYNATEMP_EXPONENT , dynatempExponent );
218208 }
219209
220210 /**
@@ -224,8 +214,7 @@ public InferenceParameters setDynamicTemperatureExponent(float dynatempExponent)
224214 * @return this builder
225215 */
226216 public InferenceParameters setRepeatLastN (int repeatLastN ) {
227- parameters .put (PARAM_REPEAT_LAST_N , String .valueOf (repeatLastN ));
228- return this ;
217+ return putScalar (PARAM_REPEAT_LAST_N , repeatLastN );
229218 }
230219
231220 /**
@@ -235,8 +224,7 @@ public InferenceParameters setRepeatLastN(int repeatLastN) {
235224 * @return this builder
236225 */
237226 public InferenceParameters setRepeatPenalty (float repeatPenalty ) {
238- parameters .put (PARAM_REPEAT_PENALTY , String .valueOf (repeatPenalty ));
239- return this ;
227+ return putScalar (PARAM_REPEAT_PENALTY , repeatPenalty );
240228 }
241229
242230 /**
@@ -246,8 +234,7 @@ public InferenceParameters setRepeatPenalty(float repeatPenalty) {
246234 * @return this builder
247235 */
248236 public InferenceParameters setFrequencyPenalty (float frequencyPenalty ) {
249- parameters .put (PARAM_FREQUENCY_PENALTY , String .valueOf (frequencyPenalty ));
250- return this ;
237+ return putScalar (PARAM_FREQUENCY_PENALTY , frequencyPenalty );
251238 }
252239
253240 /**
@@ -257,8 +244,7 @@ public InferenceParameters setFrequencyPenalty(float frequencyPenalty) {
257244 * @return this builder
258245 */
259246 public InferenceParameters setPresencePenalty (float presencePenalty ) {
260- parameters .put (PARAM_PRESENCE_PENALTY , String .valueOf (presencePenalty ));
261- return this ;
247+ return putScalar (PARAM_PRESENCE_PENALTY , presencePenalty );
262248 }
263249
264250 /**
@@ -268,8 +254,7 @@ public InferenceParameters setPresencePenalty(float presencePenalty) {
268254 * @return this builder
269255 */
270256 public InferenceParameters setMiroStat (MiroStat mirostat ) {
271- parameters .put (PARAM_MIROSTAT , String .valueOf (mirostat .ordinal ()));
272- return this ;
257+ return putScalar (PARAM_MIROSTAT , mirostat .ordinal ());
273258 }
274259
275260 /**
@@ -279,8 +264,7 @@ public InferenceParameters setMiroStat(MiroStat mirostat) {
279264 * @return this builder
280265 */
281266 public InferenceParameters setMiroStatTau (float mirostatTau ) {
282- parameters .put (PARAM_MIROSTAT_TAU , String .valueOf (mirostatTau ));
283- return this ;
267+ return putScalar (PARAM_MIROSTAT_TAU , mirostatTau );
284268 }
285269
286270 /**
@@ -290,8 +274,7 @@ public InferenceParameters setMiroStatTau(float mirostatTau) {
290274 * @return this builder
291275 */
292276 public InferenceParameters setMiroStatEta (float mirostatEta ) {
293- parameters .put (PARAM_MIROSTAT_ETA , String .valueOf (mirostatEta ));
294- return this ;
277+ return putScalar (PARAM_MIROSTAT_ETA , mirostatEta );
295278 }
296279
297280 /**
@@ -301,8 +284,7 @@ public InferenceParameters setMiroStatEta(float mirostatEta) {
301284 * @return this builder
302285 */
303286 public InferenceParameters setPenalizeNl (boolean penalizeNl ) {
304- parameters .put (PARAM_PENALIZE_NL , String .valueOf (penalizeNl ));
305- return this ;
287+ return putScalar (PARAM_PENALIZE_NL , penalizeNl );
306288 }
307289
308290 /**
@@ -312,8 +294,7 @@ public InferenceParameters setPenalizeNl(boolean penalizeNl) {
312294 * @return this builder
313295 */
314296 public InferenceParameters setNKeep (int nKeep ) {
315- parameters .put (PARAM_N_KEEP , String .valueOf (nKeep ));
316- return this ;
297+ return putScalar (PARAM_N_KEEP , nKeep );
317298 }
318299
319300 /**
@@ -323,8 +304,7 @@ public InferenceParameters setNKeep(int nKeep) {
323304 * @return this builder
324305 */
325306 public InferenceParameters setSeed (int seed ) {
326- parameters .put (PARAM_SEED , String .valueOf (seed ));
327- return this ;
307+ return putScalar (PARAM_SEED , seed );
328308 }
329309
330310 /**
@@ -334,8 +314,7 @@ public InferenceParameters setSeed(int seed) {
334314 * @return this builder
335315 */
336316 public InferenceParameters setNProbs (int nProbs ) {
337- parameters .put (PARAM_N_PROBS , String .valueOf (nProbs ));
338- return this ;
317+ return putScalar (PARAM_N_PROBS , nProbs );
339318 }
340319
341320 /**
@@ -345,8 +324,7 @@ public InferenceParameters setNProbs(int nProbs) {
345324 * @return this builder
346325 */
347326 public InferenceParameters setMinKeep (int minKeep ) {
348- parameters .put (PARAM_MIN_KEEP , String .valueOf (minKeep ));
349- return this ;
327+ return putScalar (PARAM_MIN_KEEP , minKeep );
350328 }
351329
352330 /**
@@ -396,8 +374,7 @@ public InferenceParameters setPenaltyPrompt(int[] tokens) {
396374 * @return this builder
397375 */
398376 public InferenceParameters setIgnoreEos (boolean ignoreEos ) {
399- parameters .put (PARAM_IGNORE_EOS , String .valueOf (ignoreEos ));
400- return this ;
377+ return putScalar (PARAM_IGNORE_EOS , ignoreEos );
401378 }
402379
403380 /**
@@ -513,8 +490,7 @@ public InferenceParameters setSamplers(Sampler... samplers) {
513490 * @return this builder
514491 */
515492 public InferenceParameters setUseChatTemplate (boolean useChatTemplate ) {
516- parameters .put (PARAM_USE_JINJA , String .valueOf (useChatTemplate ));
517- return this ;
493+ return putScalar (PARAM_USE_JINJA , useChatTemplate );
518494 }
519495
520496 /**
@@ -570,8 +546,7 @@ public InferenceParameters setMessages(String systemMessage, List<Pair<String, S
570546 * @return this builder
571547 */
572548 public InferenceParameters setTopNSigma (float topNSigma ) {
573- parameters .put (PARAM_TOP_N_SIGMA , String .valueOf (topNSigma ));
574- return this ;
549+ return putScalar (PARAM_TOP_N_SIGMA , topNSigma );
575550 }
576551
577552 /**
@@ -596,8 +571,7 @@ public InferenceParameters setReasoningFormat(ReasoningFormat reasoningFormat) {
596571 * @return this builder
597572 */
598573 public InferenceParameters setReasoningBudgetTokens (int budgetTokens ) {
599- parameters .put (PARAM_REASONING_BUDGET_TOKENS , String .valueOf (budgetTokens ));
600- return this ;
574+ return putScalar (PARAM_REASONING_BUDGET_TOKENS , budgetTokens );
601575 }
602576
603577 /**
@@ -610,8 +584,7 @@ public InferenceParameters setReasoningBudgetTokens(int budgetTokens) {
610584 * @return this builder
611585 */
612586 public InferenceParameters setContinueFinalMessage (boolean continueFinalMessage ) {
613- parameters .put (PARAM_CONTINUE_FINAL_MESSAGE , String .valueOf (continueFinalMessage ));
614- return this ;
587+ return putScalar (PARAM_CONTINUE_FINAL_MESSAGE , continueFinalMessage );
615588 }
616589
617590 /**
@@ -630,8 +603,7 @@ public InferenceParameters setContinueFinalMessage(ContinuationMode mode) {
630603 }
631604
632605 InferenceParameters setStream (boolean stream ) {
633- parameters .put (PARAM_STREAM , String .valueOf (stream ));
634- return this ;
606+ return putScalar (PARAM_STREAM , stream );
635607 }
636608
637609}
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