vbatts/llama.cpp
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cli : auto activate conversation mode if chat template is available (#11214)

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* cli : auto activate conversation mode if chat template is detected

* add warn on bad template

* update readme (writing with the help of chatgpt)

* update readme (2)

* do not activate -cnv for non-instruct models
This commit is contained in:
Xuan Son Nguyen 2025-01-13 20:18:12 +01:00 • committed by GitHub
parent 39509fb082
commit 84a44815f7
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4 changed files with 75 additions and 36 deletions
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9
common/common.h
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@ -103,6 +103,12 @@ enum dimre_method {
DIMRE_METHOD_MEAN,
};
enum common_conversation_mode {
COMMON_CONVERSATION_MODE_DISABLED = 0,
COMMON_CONVERSATION_MODE_ENABLED = 1,
COMMON_CONVERSATION_MODE_AUTO = 2,
};
// sampling parameters
struct common_params_sampling {
uint32_t seed = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampler
@ -275,7 +281,6 @@ struct common_params {
bool special = false; // enable special token output
bool interactive = false; // interactive mode
bool interactive_first = false; // wait for user input immediately
bool conversation = false; // conversation mode (does not print special tokens and suffix/prefix)
bool prompt_cache_all = false; // save user input and generations to prompt cache
bool prompt_cache_ro = false; // open the prompt cache read-only and do not update it
@ -301,6 +306,8 @@ struct common_params {
ggml_type cache_type_k = GGML_TYPE_F16; // KV cache data type for the K
ggml_type cache_type_v = GGML_TYPE_F16; // KV cache data type for the V
common_conversation_mode conversation_mode = COMMON_CONVERSATION_MODE_AUTO;
// multimodal models (see examples/llava)
std::string mmproj = ""; // path to multimodal projector // NOLINT
std::vector<std::string> image; // path to image file(s)