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ModelOverride

llm_manager::config

Struct ModelOverride 

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pub struct ModelOverride {
Show 76 fields
    pub context_length: Option<u32>,
    pub batch_size: Option<u32>,
    pub ubatch_size: Option<u32>,
    pub cache_type_k: Option<CacheTypeK>,
    pub cache_type_v: Option<CacheTypeV>,
    pub keep: Option<i32>,
    pub swa_full: Option<bool>,
    pub mlock: Option<bool>,
    pub mmap: Option<bool>,
    pub numa: Option<NumMode>,
    pub uniform_cache: Option<bool>,
    pub system_prompt: Option<String>,
    pub system_prompt_preset_name: Option<String>,
    pub max_concurrent_predictions: Option<u32>,
    pub threads: Option<u32>,
    pub threads_batch: Option<u32>,
    pub parallel: Option<u32>,
    pub gpu_layers: Option<i32>,
    pub split_mode: Option<SplitMode>,
    pub tensor_split: Option<String>,
    pub main_gpu: Option<i32>,
    pub fit: Option<bool>,
    pub lora: Option<PathBuf>,
    pub lora_scaled: Option<(PathBuf, f32)>,
    pub rpc: Option<String>,
    pub embedding: Option<bool>,
    pub kv_cache_offload: Option<bool>,
    pub flash_attn: Option<bool>,
    pub jinja: Option<bool>,
    pub chat_template: Option<String>,
    pub chat_template_kwargs: Option<String>,
    pub expert_count: Option<i32>,
    pub gpu_layers_mode: Option<GpuLayersMode>,
    pub seed: Option<i32>,
    pub temperature: Option<f32>,
    pub top_k: Option<i32>,
    pub top_p: Option<f32>,
    pub min_p: Option<f32>,
    pub typical_p: Option<f32>,
    pub mirostat: Option<Mirostat>,
    pub mirostat_lr: Option<f32>,
    pub mirostat_ent: Option<f32>,
    pub ignore_eos: Option<bool>,
    pub samplers: Option<Samplers>,
    pub repeat_penalty: Option<f32>,
    pub repeat_last_n: Option<i32>,
    pub presence_penalty: Option<f32>,
    pub frequency_penalty: Option<f32>,
    pub dry_multiplier: Option<f32>,
    pub dry_base: Option<f32>,
    pub dry_allowed_length: Option<i32>,
    pub dry_penalty_last_n: Option<i32>,
    pub rope_scaling: Option<RopeScaling>,
    pub rope_scale: Option<f32>,
    pub rope_freq_base: Option<f32>,
    pub rope_freq_scale: Option<f32>,
    pub rope_yarn_enabled: Option<bool>,
    pub cache_prompt: Option<bool>,
    pub cache_reuse: Option<u32>,
    pub webui: Option<bool>,
    pub ws_server_enabled: Option<bool>,
    pub ws_server_port: Option<u16>,
    pub ws_server_auth_key: Option<String>,
    pub ws_server_tls_enabled: Option<bool>,
    pub ws_server_tls_cert: Option<String>,
    pub ws_server_tls_key: Option<String>,
    pub max_tokens: Option<u32>,
    pub cache_type: Option<CacheType>,
    pub llama_cpp_version_cpu: Option<String>,
    pub llama_cpp_version_vulkan: Option<String>,
    pub llama_cpp_version_rocm: Option<String>,
    pub llama_cpp_version_rocm_lemonade: Option<String>,
    pub llama_cpp_version_cuda: Option<String>,
    pub spec_type: Option<String>,
    pub draft_tokens: Option<u32>,
    pub tags: Option<Vec<String>>,

}

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§context_length: Option<u32>§batch_size: Option<u32>§ubatch_size: Option<u32>§cache_type_k: Option<CacheTypeK>§cache_type_v: Option<CacheTypeV>§keep: Option<i32>§swa_full: Option<bool>§mlock: Option<bool>§mmap: Option<bool>§numa: Option<NumMode>§uniform_cache: Option<bool>§system_prompt: Option<String>§system_prompt_preset_name: Option<String>§max_concurrent_predictions: Option<u32>§threads: Option<u32>§threads_batch: Option<u32>§parallel: Option<u32>§gpu_layers: Option<i32>§split_mode: Option<SplitMode>§tensor_split: Option<String>§main_gpu: Option<i32>§fit: Option<bool>§lora: Option<PathBuf>§lora_scaled: Option<(PathBuf, f32)>§rpc: Option<String>§embedding: Option<bool>§kv_cache_offload: Option<bool>§flash_attn: Option<bool>§jinja: Option<bool>§chat_template: Option<String>§chat_template_kwargs: Option<String>§expert_count: Option<i32>§gpu_layers_mode: Option<GpuLayersMode>§seed: Option<i32>§temperature: Option<f32>§top_k: Option<i32>§top_p: Option<f32>§min_p: Option<f32>§typical_p: Option<f32>§mirostat: Option<Mirostat>§mirostat_lr: Option<f32>§mirostat_ent: Option<f32>§ignore_eos: Option<bool>§samplers: Option<Samplers>§repeat_penalty: Option<f32>§repeat_last_n: Option<i32>§presence_penalty: Option<f32>§frequency_penalty: Option<f32>§dry_multiplier: Option<f32>§dry_base: Option<f32>§dry_allowed_length: Option<i32>§dry_penalty_last_n: Option<i32>§rope_scaling: Option<RopeScaling>§rope_scale: Option<f32>§rope_freq_base: Option<f32>§rope_freq_scale: Option<f32>§rope_yarn_enabled: Option<bool>§cache_prompt: Option<bool>§cache_reuse: Option<u32>§webui: Option<bool>§ws_server_enabled: Option<bool>§ws_server_port: Option<u16>§ws_server_auth_key: Option<String>§ws_server_tls_enabled: Option<bool>§ws_server_tls_cert: Option<String>§ws_server_tls_key: Option<String>§max_tokens: Option<u32>§cache_type: Option<CacheType>§llama_cpp_version_cpu: Option<String>§llama_cpp_version_vulkan: Option<String>§llama_cpp_version_rocm: Option<String>§llama_cpp_version_rocm_lemonade: Option<String>§llama_cpp_version_cuda: Option<String>§spec_type: Option<String>§draft_tokens: Option<u32>§tags: Option<Vec<String>>

Implementations§

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impl ModelOverride

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pub fn from_settings(s: &ModelSettings) -> Self

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pub fn apply(&self, base: &mut ModelSettings)

Merge override into a base ModelSettings (in-place).

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impl Clone for ModelOverride

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fn clone(&self) -> ModelOverride

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ModelOverride

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for ModelOverride

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fn default() -> ModelOverride

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for ModelOverride

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl PartialEq for ModelOverride

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fn eq(&self, other: &ModelOverride) -> bool

Tests for self and other values to be equal, and is used by ==.
1.0.0 (const: unstable) · Source§

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Serialize for ModelOverride

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more
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impl StructuralPartialEq for ModelOverride

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impl<T> Any for T
where T: 'static + ?Sized,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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