1× Mac
25.1tok/sEveryday
1 request, prose prompt, short prompt, with MTP (DSpark built-in) (per recipe) Source
Intelligence40with thinkingno thinking 25
- ≤ 3 bit: quantization may cost quality
- No license on HF
- License unclear
Local AI · Recipe · 1× Mac
Gemma-4 MLX 4-bit with MLX on 1× Mac
by 0xBakeer
Intelligence (original model) · Artificial Analysis8with thinkingno thinking 7
Engine
- Engine
- LM Studio (MLX-Backend) 0.4.21
- Quantization
- mlx-4bit
- Model family
- Gemma-4
- Context
- 131,072
- Parameters
- E2B (Größe lt. Modellname)
- Creator
- 0xBakeer
- GitHub stars
- 14
- Repo updated
- Sep 23, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
No sourced measurements for this recipe.
What you need
- Hardware
- 1 × Mac / Apple Silicon
- Weights
- Main weightsgoogle/gemma-4-E2B-it Apache-2.0
- Engine
- LM Studio (MLX-Backend) 0.4.21
- Context
- 131,072 tokens
Sources
- github.com/0xBakeer/inference-atlas/blob/main/results/lmstudio/google/gemma-4-E2B-it/apple-m2-max-32gb/251c7884bb174170--serve-single-i256-o256-v1--57e31f.json
- github.com/0xBakeer/inference-atlas/blob/main/results/lmstudio/google/gemma-4-E2B-it/apple-m2-max-32gb/251c7884bb174170--prefill-8k-v1--d72bb6.json
- github.com/0xBakeer/inference-atlas/blob/main/results/lmstudio/google/gemma-4-E2B-it/apple-m2-max-32gb/251c7884bb174170--serve-chat-c32-i1k-o256-v1--a9e372.json
- github.com/0xBakeer/inference-atlas/blob/main/hardware/apple-m2-max-32gb.json
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