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server: add option to output probabilities for completion (#1962)

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* server: add option to output probabilities for completion
* server: fix issue when handling probability output for incomplete tokens for multibyte character generation
* server: fix llama_sample_top_k order
* examples/common.h: put all bool variables in gpt_params together
This commit is contained in:
WangHaoranRobin
2023-07-03 05:38:44 +08:00
committed by GitHub
parent 46088f7231
commit d7d2e6a0f0
2 changed files with 122 additions and 31 deletions
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3
examples/common.h
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@ -31,7 +31,7 @@ struct gpt_params {
int32_t n_gpu_layers = 0; // number of layers to store in VRAM
int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
bool low_vram = 0; // if true, reduce VRAM usage at the cost of performance
int32_t n_probs = 0; // if greater than 0, output the probabilities of top n_probs tokens.
// sampling parameters
std::unordered_map<llama_token, float> logit_bias; // logit bias for specific tokens
@ -59,6 +59,7 @@ struct gpt_params {
std::string lora_adapter = ""; // lora adapter path
std::string lora_base = ""; // base model path for the lora adapter
bool low_vram = false; // if true, reduce VRAM usage at the cost of performance
bool memory_f16 = true; // use f16 instead of f32 for memory kv
bool random_prompt = false; // do not randomize prompt if none provided
bool use_color = false; // use color to distinguish generations and inputs