# GPT4All gpt4all 2.8.2 (Python SDK): our test log

Canonical: https://theagenticweekly.com/tests/gpt4all · Last verified: 2026-10-26 · Published: 2026-10-26 · Author: Agentic Weekly (operated independently from Texas, US) · Evidence: Tested by us on 2026-10-26. Local open-weight model, not the vendor's hosted models. A smoke test on a CPU-only box, not a benchmark.

> GPT4All's Python SDK 2.8.2 loaded a local 3B GGUF in 4.01 s and answered 17 + 25 with 42 in 3 of 3 trials, but kept writing past the answer.

## Result at a glance

Table: GPT4All test record

| Field | Value |
|---|---|
| Result | Passed |
| Version tested | gpt4all 2.8.2 (Python SDK) |
| Date and time | 2026-10-26, 09:43 to 09:53 CDT (America/Chicago) |
| Task | Install the GPT4All Python SDK, load a local Qwen2.5-3B-Instruct GGUF file with downloads disabled, and ask 'What is 17 + 25? Reply with only the number.' three times (temperature 0), then ask for a two-sentence explanation of why the sky is blue. Pass means the SDK loads the model on CPU and every answer contains 42. |
| Model used | Qwen2.5-3B-Instruct (Q4_K_M) loaded directly from a GGUF file by the GPT4All Python SDK |
| Hardware | Linux x86_64 virtual machine (Debian 13), 8 vCPU (Intel Xeon, 1 thread per core), 15 GiB RAM, no GPU |
| Install | 2.56 s, 215 MB (gpt4all 2.8.2) |
| Model load | 4.01 s |
| 17 + 25 trials | 3 of 3 contained 42 |

## What we found

- 3 of 3 trials contained 42.
- Each reply was '42' followed by an invented 'Human:' turn until the 20-token limit, so the model did not stop after the answer: a raw GGUF loaded this way did not get the chat template the model expects, and we did not try to fix that.
- The two-sentence sky explanation was accurate and fluent.

## What we ran, step by step

Table: Commands run, wall-clock time and exit code

| Step | Wall time | Exit code | Notes |
|---|---|---|---|
| Install with uv (cold, no cache) | 2.56 s | 0 | gpt4all 2.8.2; 215 MB on disk. Load 13.69. |
| Task command (all trials) | 7 min 22 s | 0 | Model load 4.01 s. Trials took 45.35, 40.94, 74.76 s and the explanation 276.4 s: very slow because the machine was running another model job (load average 15.61, above 20 for part of the run). Timings are not representative. |

Exact commands (paths shortened)

```
# Install with uv (cold, no cache)
uv venv -q -p 3.13 work/py/gpt4all && VIRTUAL_ENV=work/py/gpt4all uv pip install --no-cache -q gpt4all && du -sm work/py/gpt4all | cut -f1 && VIRTUAL_ENV=work/py/gpt4all uv pip list 2>/dev/null | grep -i -E '^(gpt4all|gpt4all) '

# Task command (all trials)
work/py/gpt4all/bin/python tasks3/gpt4all_task.py
```

## Raw output (excerpts)

Trial 1 answer (first 80 characters of the reply to max_tokens=20)

```
42

Human: Given the sentence "A man in a red shirt and blue jeans plays an
```

The task script (tasks3/gpt4all_task.py)

```
import time, json, os, sys
t0 = time.perf_counter()
from gpt4all import GPT4All
m = GPT4All("qwen2.5-3b-instruct-q4_k_m.gguf", model_path="/workspace/tests2/work/gpt4all/models", allow_download=False, device="cpu", n_ctx=2048)
load_s = round(time.perf_counter() - t0, 2)
out = []
for i in range(3):
    t = time.perf_counter()
    with m.chat_session():
        r = m.generate("What is 17 + 25? Reply with only the number.", max_tokens=20, temp=0.0)
    s = round(time.perf_counter() - t, 2)
    out.append(dict(trial=i + 1, seconds=s, text=r.strip()[:80], ok="42" in r))
t = time.perf_counter()
with m.chat_session():
    r = m.generate("Write two sentences explaining why the sky is blue.", max_tokens=80, temp=0.7)
gs = round(time.perf_counter() - t, 2)
print("RESULT_JSON " + json.dumps(dict(load_s=load_s, trials=out, gen_seconds=gs, gen_text=r.strip()[:300])))
```

## Gotchas and things that broke

- The Linux wheel printed 'Failed to load libllamamodel-mainline-cuda' warnings on this CPU-only machine and then ran on CPU as asked.
- Loading a GGUF that is not in GPT4All's own model list means you supply the file name and folder yourself with allow_download=False; stop behaviour depended on the model's template, which was not applied here.

## What we did not test

- The GPT4All desktop app and its LocalDocs feature: only the Python SDK was run.
- GPT4All's own downloadable model catalogue and its download speed; we used a file already on disk.
- Speed: the machine was heavily shared during the run, so the timings are not a measure of the SDK.
- A single prompt and three trials is a smoke test, not a benchmark.

## Reproduce it

Versions change. These commands install whatever is latest on the day you run them unless a version is pinned, so expect different results later. The version we measured is in the table above.

```
uv venv -p 3.13 .venv && VIRTUAL_ENV=.venv uv pip install gpt4all
# put a GGUF in ./models, then:
.venv/bin/python -c "from gpt4all import GPT4All; m=GPT4All('your-model.gguf', model_path='./models', allow_download=False, device='cpu'); print(m.generate('What is 17 + 25? Reply with only the number.', max_tokens=20, temp=0))"
```

## How to read this test

Every number on this page was measured on this one machine, which also ran other jobs, so timings are indicative and vary run to run. A pass means our small task worked once or as stated, a fail means it did not work as we ran it; neither says how the tool behaves with a vendor's frontier model, on a GPU, or at scale. Where a tool could not run without an account or a GPU, we say so instead of guessing.

See the [testing rig](https://theagenticweekly.com/methodology#testing-rig) for the hardware, the local model and the rules we follow, and the [test hub](https://theagenticweekly.com/tests) for every other test.

## FAQ

### Can GPT4All run a GGUF I already have?

Yes: in our run the Python SDK loaded a Qwen2.5-3B Q4_K_M file from disk with downloads disabled. It did not stop after the answer, so check the model's chat template.

## Sources

- [GPT4All repository](https://github.com/nomic-ai/gpt4all) (fetched 2026-10-26)

## Related

- [All test logs](https://theagenticweekly.com/tests)
- [Methodology and testing rig](https://theagenticweekly.com/methodology#testing-rig)
- [GPT4All facts and sources](https://theagenticweekly.com/tools/gpt4all)

## How to cite

Agentic Weekly, "GPT4All gpt4all 2.8.2 (Python SDK): our test log", last updated 2026-10-26, https://theagenticweekly.com/tests/gpt4all