Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	examples/eval-callback/eval-callback.cpp
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	ggml/src/ggml-opencl/kernels/gelu.cl
#	tests/test-backend-ops.cpp
This commit is contained in:
Concedo
2025-07-07 17:46:58 +08:00
10 changed files with 620 additions and 553 deletions
@@ -132,6 +132,28 @@ def test_chat_template():
assert res.body["__verbose"]["prompt"] == "<s> <|start_header_id|>system<|end_header_id|>\n\nBook<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the best book<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
@pytest.mark.parametrize("prefill,re_prefill", [
("Whill", "Whill"),
([{"type": "text", "text": "Wh"}, {"type": "text", "text": "ill"}], "Whill"),
])
def test_chat_template_assistant_prefill(prefill, re_prefill):
global server
server.chat_template = "llama3"
server.debug = True # to get the "__verbose" object in the response
server.start()
res = server.make_request("POST", "/chat/completions", data={
"max_tokens": 8,
"messages": [
{"role": "system", "content": "Book"},
{"role": "user", "content": "What is the best book"},
{"role": "assistant", "content": prefill},
]
})
assert res.status_code == 200
assert "__verbose" in res.body
assert res.body["__verbose"]["prompt"] == f"<s> <|start_header_id|>system<|end_header_id|>\n\nBook<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the best book<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n{re_prefill}"
def test_apply_chat_template():
global server
server.chat_template = "command-r"
@@ -228,6 +250,7 @@ def test_completion_with_grammar(jinja: bool, grammar: str, n_predicted: int, re
[{"role": "system", "content": 123}],
# [{"content": "hello"}], # TODO: should not be a valid case
[{"role": "system", "content": "test"}, {}],
[{"role": "user", "content": "test"}, {"role": "assistant", "content": "test"}, {"role": "assistant", "content": "test"}],
])
def test_invalid_chat_completion_req(messages):
global server
+7 -1
View File
@@ -792,7 +792,13 @@ static json oaicompat_chat_params_parse(
/* Append assistant prefilled message */
if (prefill_assistant_message) {
chat_params.prompt += last_message.content;
if (!last_message.content_parts.empty()) {
for (auto & p : last_message.content_parts) {
chat_params.prompt += p.text;
}
} else {
chat_params.prompt += last_message.content;
}
}
llama_params["chat_format"] = static_cast<int>(chat_params.format);