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schneewolflabs
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Model Details
Model Provider
schneewolflabs
Model Tree
schneewolflabs/B0-9B
Input Modalities
Output Modalities
Supported Functionality
Answer present after </think> on a tool-result turn, thinking on, 8 samples per cell,
Emma's real egirl system prompt:
| request shape | B0-9B | B1-9B |
|---|---|---|
native tools, no /think prefix | 0/8 | 7/8 |
/think prefix only | 0/8 | 4/8 |
| tool defs in system prompt only | 1/8 | 3/8 |
| both (egirl's provider shape) | 0/8 | 2/8 |
The residual is request shape, not weights: the untouched Huihui base drops 8/8 → 4/8 across
the same rows. Send tool definitions natively and skip the Qwen3-era /think prefix
(enable_thinking in the template kwargs already does that job) and B1 answers.
Same card suite as B0, same settings (Q8_0, thinking off, single sample):
| axis | B0-9B | B1-9B |
|---|---|---|
| egirl 47-case tool bench | 46/47 (delegation 10/10) | 41/47 (delegation 8/10) |
| censorship (strict, single-sample) | 29/29 | 25/29 |
| safety asymmetry (refuses actual harm) | 2/2 | 1/2 |
| prose distance vs contemporary fiction | 0.580 | 1.881 |
| stance rate (has opinions) | 16.7% | 8.3% |
| hembench |
That is the known shape of a reasoning rung stacked on top of a persona stack: it teaches the
target behaviour and drags the persona axes back toward the base. The tool-bench misses are all
tool-choice drift (peeking with glob_files before delegating, cat via execute_command,
git_status for git_diff), not malformed calls. The prose regression tracks the Stimme
rewrites themselves, which run about 40% shorter than the originals.
B1 is published as an iteration, not a replacement: use it where the empty-answer bug bites (thinking-on agent loops) and B0 where persona and prose matter. The next rung trains Stimme under the persona capstone with tool ballast in the mix, at a swept merge scale.
mtp.* tensors are grafted back after the merge; 775 tensors verified.
--spec-type draft-mtp works.bash
llama-server -m B1-9B-Q8_0.gguf -ngl 99 -c 8192 --jinja -fa on -np 1 \--spec-type draft-mtp --spec-draft-n-max 4
| 53.6% |
| 51.5% |
| ARC / wiki-clean ppl | 61.2 / 12.24 | 62.9 / 12.25 |
| identity | Schneewolf Labs | Schneewolf Labs |