vbatts/llama.cpp
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add changes to README.md

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FSSRepo 2023-10-13 14:28:06 -04:00
parent a2c2d98c16
commit eb08201227
2 changed files with 12 additions and 4 deletions
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8
examples/server/README.md
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@ -24,6 +24,8 @@ Command line options:
- `--port`: Set the port to listen. Default: `8080`.
- `--path`: path from which to serve static files (default examples/server/public)
- `--embedding`: Enable embedding extraction, Default: disabled.
- `-np N`, `--parallel N`: Set the number of slots for process requests (default: 1)
- `-cb`, `--cont-batching`: enable continuous batching (a.k.a dynamic batching) (default: disabled)
## Build
@ -158,6 +160,12 @@ node index.js
`n_probs`: If greater than 0, the response also contains the probabilities of top N tokens for each generated token (default: 0)
`slot_id`: Assign the completion task to an specific slot. If is -1 the task will be assigned to a Idle slot (default: -1)
`cache_prompt`: Save the prompt and generation for avoid reprocess entire prompt if a part of this isn't change (default: false)
`system_prompt`: Change the system prompt (initial prompt of all slots), this is useful for chat applications.
- **POST** `/tokenize`: Tokenize a given text.
*Options:*

8
examples/server/server.cpp
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@ -78,8 +78,8 @@ enum slot_command {
struct slot_params {
bool stream = true;
uint32_t seed = -1; // RNG seed
int32_t n_predict = -1; // new tokens to predict
uint32_t seed = -1; // RNG seed
int32_t n_predict = -1; // new tokens to predict
std::string grammar = ""; // optional BNF-like grammar to constrain sampling
bool cache_prompt = false; // remember a the prompt to avoid reprocessing all prompt
std::vector<std::string> antiprompt;
@ -563,7 +563,7 @@ struct llama_server_context
}
void processSystemPromptData(json sys_props) {
system_prompt = sys_props.value("system_prompt", "");
system_prompt = sys_props.value("prompt", "");
user_name = sys_props.value("anti_prompt", "");
assistant_name = sys_props.value("assistant_name", "");
notifySystemPromptChanged();
@ -872,7 +872,7 @@ struct llama_server_context
return true;
}
// context shift
// context shift takes effect only when there is a single slot
if(slots.size() == 1) {
llama_client_slot slot = slots[0];
if (slot.cache_tokens.size() >= (size_t)n_ctx)