vbatts/llama.cpp
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Merge remote-tracking branch 'origin/master' into jinja

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ochafik 2025-01-13 19:56:27 +00:00
commit cb72cf1fc3
215 changed files with 23423 additions and 18704 deletions
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23
examples/server/tests/unit/test_chat_completion.py
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@ -85,7 +85,7 @@ def test_chat_completion_stream(system_prompt, user_prompt, max_tokens, re_conte
def test_chat_completion_with_openai_library():
global server
server.start()
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}")
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
res = client.chat.completions.create(
model="gpt-3.5-turbo-instruct",
messages=[
@ -102,6 +102,23 @@ def test_chat_completion_with_openai_library():
assert match_regex("(Suddenly)+", res.choices[0].message.content)
def test_chat_template():
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"},
]
})
assert res.status_code == 200
assert "__verbose" in res.body
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("response_format,n_predicted,re_content", [
({"type": "json_object", "schema": {"const": "42"}}, 6, "\"42\""),
({"type": "json_object", "schema": {"items": [{"type": "integer"}]}}, 10, "[ -3000 ]"),
@ -172,7 +189,7 @@ def test_chat_completion_with_timings_per_token():
def test_logprobs():
global server
server.start()
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}")
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
res = client.chat.completions.create(
model="gpt-3.5-turbo-instruct",
temperature=0.0,
@ -199,7 +216,7 @@ def test_logprobs():
def test_logprobs_stream():
global server
server.start()
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}")
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
res = client.chat.completions.create(
model="gpt-3.5-turbo-instruct",
temperature=0.0,