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feat: add trimsuffix (#1528)
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@ -159,6 +159,9 @@ func Finetune(config config.Config, input, prediction string) string {
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for _, c := range config.TrimSpace {
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prediction = strings.TrimSpace(strings.TrimPrefix(prediction, c))
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}
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return prediction
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for _, c := range config.TrimSuffix {
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prediction = strings.TrimSpace(strings.TrimSuffix(prediction, c))
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}
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return prediction
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}
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@ -111,16 +111,18 @@ type LLMConfig struct {
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StopWords []string `yaml:"stopwords"`
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Cutstrings []string `yaml:"cutstrings"`
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TrimSpace []string `yaml:"trimspace"`
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ContextSize int `yaml:"context_size"`
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NUMA bool `yaml:"numa"`
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LoraAdapter string `yaml:"lora_adapter"`
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LoraBase string `yaml:"lora_base"`
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LoraScale float32 `yaml:"lora_scale"`
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NoMulMatQ bool `yaml:"no_mulmatq"`
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DraftModel string `yaml:"draft_model"`
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NDraft int32 `yaml:"n_draft"`
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Quantization string `yaml:"quantization"`
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MMProj string `yaml:"mmproj"`
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TrimSuffix []string `yaml:"trimsuffix"`
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ContextSize int `yaml:"context_size"`
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NUMA bool `yaml:"numa"`
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LoraAdapter string `yaml:"lora_adapter"`
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LoraBase string `yaml:"lora_base"`
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LoraScale float32 `yaml:"lora_scale"`
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NoMulMatQ bool `yaml:"no_mulmatq"`
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DraftModel string `yaml:"draft_model"`
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NDraft int32 `yaml:"n_draft"`
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Quantization string `yaml:"quantization"`
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MMProj string `yaml:"mmproj"`
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RopeScaling string `yaml:"rope_scaling"`
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YarnExtFactor float32 `yaml:"yarn_ext_factor"`
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@ -3,6 +3,8 @@ context_size: 2048
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f16: true
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gpu_layers: 90
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mmap: true
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trimsuffix:
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- "\n"
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parameters:
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model: huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
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temperature: 0.2
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