SirSahOl/gemma-3-1b-it-chat-mlx-8bit
text-generation model by SirSahOl
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Model card & documentation
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Converted by: SirSahOl Source Model: google/gemma-3-1b-it Framework: MLX by Apple Quantization: 8-bit (Average 8.25 bits per weight) Format: safetensors License: gemma Evaluate your hardware budget and choose the optimal precision: General guidance: To prevent runaway loops and ensure correct conversational turn-taking, configure custom stop tokens in your local inference runtime: To reproduce this…
Read the full model card ↗ · Preview checked 2026-11-03T21:14:23.225Z
Inside the original model card — Document outline
- gemma-3-1b-it-mlx-8bit
- Model Details
- Quick Start
- Installation
- Usage
- CLI
- Python API (with Chat Template)
- Performance Benchmarks
- Measured Benchmarks (Apple M1)
- Multi-Quantization Comparison
- Who Should Use This?
- Other Quantization Variants
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Documentation belongs to its respective authors. Reported project/model license: gemma. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
SirSahOl/gemma-3-1b-it-chat-mlx-8bit is a text-generation model repository published by SirSahOl on Hugging Face. The source reports the mlx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 999,885,952
- Architecture
- Gemma3ForCausalLM
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2026-09-22T06:30:49.000Z
- Last modified
- 2026-09-22T06:31:30.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-3-1b-it
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.