Datasets:
name string | user string | tools list | expect_tool string | expect_keys list |
|---|---|---|---|---|
weather_single_arg | What is the weather in Paris right now? | [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a city",
"parameters": {
"type": "object",
"properties": {
"city": {
"type": "string"
}
},
"required": [
"city"
... | get_weather | [
"city"
] |
calc_two_args | Add 17 and 25 using the calculator tool. | [
{
"type": "function",
"function": {
"name": "calculate",
"description": "Do arithmetic",
"parameters": {
"type": "object",
"properties": {
"a": {
"type": "number"
},
"b": {
"type": "number"
},
"op": {... | calculate | [
"a",
"b"
] |
read_file_path | Read the contents of the file /etc/hosts for me. | [
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a file from disk",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string"
}
},
"required": [
"path"
]
... | read_file | [
"path"
] |
multi_tool_disambiguation | What is the weather in Tbilisi? | [
{
"type": "function",
"function": {
"name": "get_news",
"description": "Get latest news headlines",
"parameters": {
"type": "object",
"properties": {
"topic": {
"type": "string"
}
},
"required": [
"topic"
]
... | get_weather | [
"city"
] |
web_search_query | Search the web for the latest stable Rust release version. | [
{
"type": "function",
"function": {
"name": "web_search",
"description": "Search the web",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string"
}
},
"required": [
"query"
]
}
... | web_search | [
"query"
] |
run_python_code | Run this Python code and tell me the output: print(2 + 2) | [
{
"type": "function",
"function": {
"name": "run_python",
"description": "Execute Python code",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string"
}
},
"required": [
"code"
]
}... | run_python | [
"code"
] |
convert_currency_three_args | Convert 100 USD to EUR. | [
{
"type": "function",
"function": {
"name": "convert_currency",
"description": "Convert an amount between currencies",
"parameters": {
"type": "object",
"properties": {
"amount": {
"type": "number"
},
"from": {
"type": "... | convert_currency | [
"amount"
] |
negative_no_tool | Write a short haiku about the sea. Do not use any tools. | [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a city",
"parameters": {
"type": "object",
"properties": {
"city": {
"type": "string"
}
},
"required": [
"city"
... | null | [] |
Gemma-4 Coder — tool-calling gate suite
The 8-case eval behind the tool-call pass rate in our model cards' model-index:
positive prompts where the model must emit a structured tool call, plus a no-tool
abstain case (it must answer directly, not hallucinate a call). Use it to measure
any local tool-calling model the same way we do — or to reproduce our numbers.
from datasets import load_dataset
cases = load_dataset("tpls/gemma4-coder-tool-eval", split="train") # each: {name, user, tools, expect}
Scoring a model
Serve a GGUF on llama.cpp (llama-server --jinja), send each case's user + tools
the normal OpenAI way, and check the reply against expect. Two rates, because
llama.cpp --jinja doesn't recognise gemma-4's native tool-call markup:
- raw — llama.cpp's native parse. For gemma-4 it structurally undercounts (blind to the format).
- shim — the same outputs re-parsed for the native markup. This is the number that reflects training.
The shim is a tiny serve-side post-processor — ready-to-use (drop-in litellm callback +
a standalone parser, Apache-2.0) at tpls/gemma4-tool-shim,
where the recovery algorithm is also documented so you can re-implement it.
# sketch: per case, POST to your OpenAI-compatible endpoint, then
# raw_ok = response had a structured tool_call (or correctly abstained)
# shim_ok = same, after running the reply through the shim parser
# pass_rate = mean(ok over the 8 cases). expect == [] means "must NOT call a tool".
Files
| File | What |
|---|---|
tool_eval_cases.jsonl |
one case/line: {name, user, tools, expect} |
tool_calib.txt |
imatrix calibration text (code + tool-call markup) used when quantizing |
Scope & license
Authored by us, fully permissive (apache-2.0). This is an eval set, not training data —
our training mix is a derivative of public datasets and is not redistributed (its
reproducible recipe lives on each model card). Pairs with the
tpls/gemma4-tool-shim helper and the models below.
Used by
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