Added support for overriding tensor buffer types

[zpin]

Equivalent to the -ot llama.cpp argument:

{"--override-tensor", "-ot"}, "<tensor name pattern>=<buffer type>,...",

Can be passed as an optionlal string to the Llama class using the new override_tensor parameter. Same format as the argument above.

Provides more control over how memory is used, letting you selectively place specific tensors on different devices, especially helpful when running large MOE models.

[ACupofAir]

Could you offer the usage of this parameter.
I have try it with

python3 -m llama_cpp.server --model /home/LLM/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf --port 8002 --verbose True --n_gpu_layers 99 ---tensor_buft_overrides exp=CPU
# and 
python3 -m llama_cpp.server --model /home/arda/LLM/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf --port 8002 --verbose True --n_gpu_layers 99 ---override_tensor exp=CPU 

both of them lead to error, here is the log:

usage: __main__.py [-h] [--model MODEL] [--model_alias MODEL_ALIAS] [--n_gpu_layers N_GPU_LAYERS]
                   [--split_mode SPLIT_MODE] [--main_gpu MAIN_GPU] [--tensor_split [TENSOR_SPLIT ...]]
                   [--vocab_only VOCAB_ONLY] [--use_mmap USE_MMAP] [--use_mlock USE_MLOCK]
                   [--kv_overrides [KV_OVERRIDES ...]] [--rpc_servers RPC_SERVERS] [--seed SEED] [--n_ctx N_CTX]
                   [--n_batch N_BATCH] [--n_ubatch N_UBATCH] [--n_threads N_THREADS]
                   [--n_threads_batch N_THREADS_BATCH] [--rope_scaling_type ROPE_SCALING_TYPE]
                   [--rope_freq_base ROPE_FREQ_BASE] [--rope_freq_scale ROPE_FREQ_SCALE]
                   [--yarn_ext_factor YARN_EXT_FACTOR] [--yarn_attn_factor YARN_ATTN_FACTOR]
                   [--yarn_beta_fast YARN_BETA_FAST] [--yarn_beta_slow YARN_BETA_SLOW]
                   [--yarn_orig_ctx YARN_ORIG_CTX] [--mul_mat_q MUL_MAT_Q] [--logits_all LOGITS_ALL]
                   [--embedding EMBEDDING] [--offload_kqv OFFLOAD_KQV] [--flash_attn FLASH_ATTN]
                   [--last_n_tokens_size LAST_N_TOKENS_SIZE] [--lora_base LORA_BASE] [--lora_path LORA_PATH]
                   [--numa NUMA] [--chat_format CHAT_FORMAT] [--clip_model_path CLIP_MODEL_PATH] [--cache CACHE]
                   [--cache_type CACHE_TYPE] [--cache_size CACHE_SIZE]
                   [--hf_tokenizer_config_path HF_TOKENIZER_CONFIG_PATH]
                   [--hf_pretrained_model_name_or_path HF_PRETRAINED_MODEL_NAME_OR_PATH]
                   [--hf_model_repo_id HF_MODEL_REPO_ID] [--draft_model DRAFT_MODEL]
                   [--draft_model_num_pred_tokens DRAFT_MODEL_NUM_PRED_TOKENS] [--type_k TYPE_K] [--type_v TYPE_V]
                   [--verbose VERBOSE] [--host HOST] [--port PORT] [--ssl_keyfile SSL_KEYFILE]
                   [--ssl_certfile SSL_CERTFILE] [--api_key API_KEY] [--interrupt_requests INTERRUPT_REQUESTS]
                   [--disable_ping_events DISABLE_PING_EVENTS] [--root_path ROOT_PATH] [--config_file CONFIG_FILE]
__main__.py: error: unrecognized arguments: ---tensor_buft_overrides exp=CPU

[luguoyixiazi]

Could you offer the usage of this parameter. I have try it with您能否提供此参数的用法。 我试过用

python3 -m llama_cpp.server --model /home/LLM/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf --port 8002 --verbose True --n_gpu_layers 99 ---tensor_buft_overrides exp=CPU
# and 
python3 -m llama_cpp.server --model /home/arda/LLM/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf --port 8002 --verbose True --n_gpu_layers 99 ---override_tensor exp=CPU 

both of them lead to error, here is the log:它们都会导致错误，这是日志：

usage: __main__.py [-h] [--model MODEL] [--model_alias MODEL_ALIAS] [--n_gpu_layers N_GPU_LAYERS]
                   [--split_mode SPLIT_MODE] [--main_gpu MAIN_GPU] [--tensor_split [TENSOR_SPLIT ...]]
                   [--vocab_only VOCAB_ONLY] [--use_mmap USE_MMAP] [--use_mlock USE_MLOCK]
                   [--kv_overrides [KV_OVERRIDES ...]] [--rpc_servers RPC_SERVERS] [--seed SEED] [--n_ctx N_CTX]
                   [--n_batch N_BATCH] [--n_ubatch N_UBATCH] [--n_threads N_THREADS]
                   [--n_threads_batch N_THREADS_BATCH] [--rope_scaling_type ROPE_SCALING_TYPE]
                   [--rope_freq_base ROPE_FREQ_BASE] [--rope_freq_scale ROPE_FREQ_SCALE]
                   [--yarn_ext_factor YARN_EXT_FACTOR] [--yarn_attn_factor YARN_ATTN_FACTOR]
                   [--yarn_beta_fast YARN_BETA_FAST] [--yarn_beta_slow YARN_BETA_SLOW]
                   [--yarn_orig_ctx YARN_ORIG_CTX] [--mul_mat_q MUL_MAT_Q] [--logits_all LOGITS_ALL]
                   [--embedding EMBEDDING] [--offload_kqv OFFLOAD_KQV] [--flash_attn FLASH_ATTN]
                   [--last_n_tokens_size LAST_N_TOKENS_SIZE] [--lora_base LORA_BASE] [--lora_path LORA_PATH]
                   [--numa NUMA] [--chat_format CHAT_FORMAT] [--clip_model_path CLIP_MODEL_PATH] [--cache CACHE]
                   [--cache_type CACHE_TYPE] [--cache_size CACHE_SIZE]
                   [--hf_tokenizer_config_path HF_TOKENIZER_CONFIG_PATH]
                   [--hf_pretrained_model_name_or_path HF_PRETRAINED_MODEL_NAME_OR_PATH]
                   [--hf_model_repo_id HF_MODEL_REPO_ID] [--draft_model DRAFT_MODEL]
                   [--draft_model_num_pred_tokens DRAFT_MODEL_NUM_PRED_TOKENS] [--type_k TYPE_K] [--type_v TYPE_V]
                   [--verbose VERBOSE] [--host HOST] [--port PORT] [--ssl_keyfile SSL_KEYFILE]
                   [--ssl_certfile SSL_CERTFILE] [--api_key API_KEY] [--interrupt_requests INTERRUPT_REQUESTS]
                   [--disable_ping_events DISABLE_PING_EVENTS] [--root_path ROOT_PATH] [--config_file CONFIG_FILE]
__main__.py: error: unrecognized arguments: ---tensor_buft_overrides exp=CPU

merged but unuse in main branch，that‘s why