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feat: add Qwen2.5 0.5B Compatibility #282

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feat: add Qwen2.5 0.5B Compatibility
kjh2159 May 20, 2025
3d9cc1e
Merge branch 'main' into main
kjh2159 May 28, 2025
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13 changes: 8 additions & 5 deletions examples/demo_qwen.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -18,10 +18,12 @@ int main(int argc, char **argv) {
std::iostream::sync_with_stdio(false);

cmdline::parser cmdParser;

cmdParser.add<string>("vocab", 'v', "specify mllm tokenizer model path", false, "../vocab/qwen2.5_vocab.mllm");
cmdParser.add<string>("merge", 'e', "specify mllm merge file path", false, "../vocab/qwen2.5_merges.txt");
cmdParser.add<string>("model", 'm', "specify mllm model path", false, "../models/qwen-2.5-3b-instruct-q4_0_4x4.mllm");
cmdParser.add<string>("billion", 'b', "[0.5B | 1.8B | 1.5B | 3B |]", false, "3B");
cmdParser.add<string>("version", 'r', "[Qwen1.5 | Qwen2.5 |]", false, "Qwen2.5");
cmdParser.add<int>("limits", 'l', "max KV cache size", false, 400);
cmdParser.add<int>("thread", 't', "num of threads", false, 4);
cmdParser.parse_check(argc, argv);
Expand All @@ -30,11 +32,12 @@ int main(int argc, char **argv) {
string merge_path = cmdParser.get<string>("merge");
string model_path = cmdParser.get<string>("model");
string model_billion = cmdParser.get<string>("billion");
string model_version = cmdParser.get<string>("version");
int tokens_limit = cmdParser.get<int>("limits");
CPUBackend::cpu_threads = cmdParser.get<int>("thread");

auto tokenizer = QWenTokenizer(vocab_path, merge_path);
QWenConfig config(tokens_limit, model_billion, RoPEType::HFHUBROPE);
QWenConfig config(tokens_limit, model_billion, RoPEType::HFHUBROPE, model_version);
auto model = QWenForCausalLM(config);
model.load(model_path);

Expand All @@ -51,10 +54,10 @@ int main(int argc, char **argv) {

LlmTextGeneratorOpts opt{
.max_new_tokens = 100,
.do_sample = true,
.temperature = 0.3F,
.top_k = 50,
.top_p = 0.F,
.do_sample = false,
//.temperature = 0.7F,
//.top_k = 20,
//.top_p = 0.8F,
};
model.generate(input_tensor, opt, [&](unsigned int out_token) -> bool {
auto out_string = tokenizer.detokenize({out_token});
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29 changes: 26 additions & 3 deletions src/models/qwen/configuration_qwen.hpp
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Expand Up @@ -77,13 +77,17 @@ class QWenNameConfig : public TransformerNameConfig {
};

struct QWenConfig : public TransformerConfig {
explicit QWenConfig(int token_limit, string billions = "0.5B", RoPEType type = RoPEType::HFHUBROPE) :
explicit QWenConfig(int token_limit, string billions = "0.5B", RoPEType type = RoPEType::HFHUBROPE, string model_version = "Qwen1.5") :
cache_limit(token_limit) {
names_config.init(type);
string billionsType;
std::transform(billions.begin(), billions.end(), std::back_inserter(billionsType),
::tolower);
if (billionsType == "0.5b") {
string modelVersion;
std::transform(model_version.begin(), model_version.end(), std::back_inserter(modelVersion),
::tolower);

if (billionsType == "0.5b" && modelVersion == "qwen1.5") {
attention_dropout = 0.0;
bos_token_id = 151643;
eos_token_id = 151645;
Expand All @@ -102,6 +106,25 @@ struct QWenConfig : public TransformerConfig {
sliding_window = 32768;
vocab_size = 151936;
tie_embedding_words = true;
} else if (billionsType == "0.5b" && modelVersion == "qwen2.5") {
attention_dropout = 0.0;
bos_token_id = 151643;
eos_token_id = 151645;
std::string hidden_act = "silu";
hidden_size = 896;
initializer_range = 0.02;
intermediate_size = 4864;
max_position_embeddings = 32768;
max_window_layers = 21;
model_type = "qwen2";
num_attention_heads = 14;
num_hidden_layers = 24;
num_key_value_heads = 2;
rms_norm_eps = 1e-6;
rope_theta = 1000000.0;
sliding_window = 32768;
vocab_size = 151936;
tie_embedding_words = true;
} else if (billionsType == "1.8b") {
attention_dropout = 0.0;
std::string hidden_act = "silu";
Expand All @@ -116,7 +139,7 @@ struct QWenConfig : public TransformerConfig {
sliding_window = 32768;
vocab_size = 151936;
tie_embedding_words = false;
} else if (billionsType == "1.5b") {
} else if (billionsType == "1.5b" && modelVersion == "qwen2.5") {
attention_dropout = 0.0;
std::string hidden_act = "silu";
hidden_size = 1536;
Expand Down