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llama.cpp
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add tokens

This commit is contained in:
Georgi Gerganov 2026-02-16 21:52:54 +02:00
parent 9c29be1177
commit 2ffa45edfc
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GPG Key ID: 449E073F9DC10735
1 changed files with 26 additions and 11 deletions
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37
examples/llama-eval/llama-eval.py
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@ -110,6 +110,7 @@ class TaskState:
grader_log: Dict[str, Any] = field(default_factory=dict)
correct: bool = False
status: str = "pending"
tokens: Optional[int] = None
class EvalState:
@ -183,7 +184,8 @@ class EvalState:
extracted: Optional[str],
grader_log: Dict[str, Any],
correct: bool,
status: str
status: str,
tokens: Optional[int] = None
):
if "cases" not in self.task_states:
self.task_states["cases"] = {}
@ -196,7 +198,8 @@ class EvalState:
"extracted": extracted,
"grader_log": grader_log,
"correct": correct,
"status": status
"status": status,
"tokens": tokens
}
if correct:
@ -206,6 +209,7 @@ class EvalState:
def print_progress(self, task_state: TaskState, total_tasks: int, correct_count: int = 0):
extracted_display = task_state.extracted if task_state.extracted else "N/A"
tokens_display = str(task_state.tokens) if task_state.tokens is not None else "N/A"
success_ratio = correct_count / self.processed if self.processed > 0 else 0.0
first_line = task_state.prompt.split('\n')[0]
truncated_prompt = first_line[:43]
@ -213,7 +217,7 @@ class EvalState:
truncated_prompt += "..."
else:
truncated_prompt = truncated_prompt.ljust(43) + "..."
print(f"{self.processed:3}/{total_tasks:3} {task_state.case_id:<20} {self.dataset_type.upper()} {truncated_prompt:<40} {task_state.gold:<10} {extracted_display:<10} {'✓' if task_state.correct else '✗'} [{correct_count:3}/{self.processed:3}, {success_ratio:.3f}]")
print(f"{self.processed:3}/{total_tasks:3} {task_state.case_id:<20} {self.dataset_type.upper()} {truncated_prompt:<40} {task_state.gold:<10} {extracted_display:<10} {tokens_display:<6} {'✓' if task_state.correct else '✗'} [{correct_count:3}/{self.processed:3}, {success_ratio:.3f}]")
def print_summary(self):
if self.total == 0:
@ -241,7 +245,8 @@ class EvalState:
"extracted": None,
"grader_log": {},
"correct": False,
"status": "pending"
"status": "pending",
"tokens": None
}
data = {
@ -296,6 +301,9 @@ class EvalState:
status_class = "error"
status_text = f"Error: {status}"
tokens = case.get("tokens")
tokens_str = str(tokens) if tokens is not None else ""
result_escaped = self._escape_html(result)
prompt_escaped = self._escape_html(prompt)
grader_log_str = self._escape_html(json.dumps(grader_log, indent=2))
@ -305,9 +313,10 @@ class EvalState:
<td class="{status_class}">{status_text}</td>
<td>{self._escape_html(gold)}</td>
<td>{self._escape_html(extracted)}</td>
<td>{tokens_str}</td>
</tr>
<tr id="details-{task_id}" class="details-row">
<td colspan="4">
<td colspan="5">
<div class="details-content">
<h4>Prompt</h4>
<pre>{prompt_escaped}</pre>
@ -371,6 +380,7 @@ class EvalState:
<th>Status</th>
<th>Gold</th>
<th>Extracted</th>
<th>Tokens</th>
</tr>
</thead>
<tbody>
@ -451,12 +461,14 @@ class EvalState:
tasks_to_show = self.all_tasks if self.all_tasks else self.tasks
print()
print("Tasks:")
print(" Task ID Dataset Prompt (first 40 chars) Expected Extracted Status")
print(" Task ID Dataset Prompt (first 40 chars) Expected Extracted Tokens Status")
for i, task_id in tasks_to_show:
question, prompt, gold = self.get_case(i)
case = cases.get(task_id, {})
status = case.get("status", "pending")
extracted = case.get("extracted", "N/A") if status == "ok" else "N/A"
tokens = case.get("tokens")
tokens_str = str(tokens) if tokens is not None else "N/A"
is_correct = case.get("correct", False) if status == "ok" else False
symbol = "✓ " if is_correct else ("✗ " if status == "ok" else "")
first_line = question.split('\n')[0]
@ -465,7 +477,7 @@ class EvalState:
question_trunc += "..."
else:
question_trunc = question_trunc.ljust(43) + "..."
print(f" {task_id:<20} {self.dataset_type.upper()} {question_trunc:<40} {gold:<10} {extracted:<10} {symbol}{status}")
print(f" {task_id:<20} {self.dataset_type.upper()} {question_trunc:<40} {gold:<10} {extracted:<10} {tokens_str:<6} {symbol}{status}")
print()
def print_existing_summary(self):
@ -878,7 +890,7 @@ class Processor:
self.model_name = model_name
self.threads = threads
def _make_request(self, eval_state: EvalState, prompt: str) -> Dict[str, Any]:
def _make_request(self, eval_state: EvalState, prompt: str) -> Tuple[Dict[str, Any], int]:
url = f"{self.server_url}/v1/chat/completions"
headers = {"Content-Type": "application/json"}
data = {
@ -897,7 +909,9 @@ class Processor:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status()
return response.json()
result = response.json()
tokens = result.get("usage", {}).get("completion_tokens", 0)
return result, tokens
def _process_single_case(self, eval_state: EvalState, i: int, task_id: str) -> TaskState:
question, prompt, gold = eval_state.get_case(i)
@ -909,9 +923,10 @@ class Processor:
)
try:
response = self._make_request(eval_state, prompt)
response, tokens = self._make_request(eval_state, prompt)
result = response["choices"][0]["message"]["content"]
task_state.result = result
task_state.tokens = tokens
result_truncated = self.grader._truncate_response(result, max_lines=10)
is_correct, extracted = self.grader.grade(gold, result_truncated, prompt)
@ -928,7 +943,7 @@ class Processor:
task_state.grader_log = grader_log
task_state.status = "ok"
eval_state.add_result(task_id, prompt, gold, result, extracted, grader_log, is_correct, "ok")
eval_state.add_result(task_id, prompt, gold, result, extracted, grader_log, is_correct, "ok", tokens)
eval_state.dump()