--- license: gemma base_model: google/gemma-4-26b-it tags: - gemma4 - transformers - bf16 - multimodal - instruction-following - tool-use language: - en - ko pipeline_tag: text-generation library_name: transformers --- # SuperGemma4-26b-abliterated-multimodal BF16 Gemma 4 multimodal release with an April 18 stability refresh focused on truthfulness, exact JSON/tool-call formatting, long-context extraction, loop resistance, and cleaner prompt hygiene. ## April 18 Stability Refresh - Synced the external `chat_template.jinja` and inline `tokenizer_config.json` template so local and hosted runtimes read the same prompt rules. - Hardened false-premise handling so the model corrects bad assumptions instead of continuing under them. - Tightened JSON-only and tool-call formatting so exact-key JSON and `execute_code` calls stay machine-parseable. - Improved long-context sentinel extraction behavior for retrieval-style prompts. - Reinforced identity and prompt-hygiene responses to avoid mixed-script glitches and hidden-tag leakage. ## Validation Snapshot - Capability audit: 9 / 9 passed, 100.0% - Reliability audit: 20 / 20 passed, 100.0% - Server red-team: 10 / 13 passed on the local MLX OpenAI-compatible server - Remaining server misses were 2 semantic checker mismatches on safe refusals and 1 text-only multimodal rejection mismatch, not a truthfulness or leak regression. ## Included Files - Official Hugging Face-format BF16 weights - `chat_template.jinja` - `tool_chat_template.jinja` for Gemma 4 tool-calling setups - `SERVING_NOTES.md` with Gemma 4 runtime notes for vLLM, SGLang, and MLX - `BENCHMARK_SNAPSHOT.md` with the current validation summary ## Notes - Checkpoint keys were aligned to the official Gemma 4 Hugging Face naming/layout for portable serving. - `tokenizer_config.json` includes an inline `chat_template` for portability and should match `chat_template.jinja`. - For multi-turn tool use on vLLM, use the dedicated `tool_chat_template.jinja` and Gemma 4 parser settings from `SERVING_NOTES.md`.