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  - mlx
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  - oq
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  - quantized
 
 
 
 
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  ---
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  # Ornith-1.0-35B-oQ2
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- This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.5.2.dev1) mixed-precision quantization.
 
 
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  ## Quantization details
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  - **Bits**: 2
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  - **Group size**: 64
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  - **Format**: MLX safetensors
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - mlx
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  - oq
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  - quantized
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+ - benchmark
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+ - performance
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+ - moe
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+ - ornith
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  ---
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  # Ornith-1.0-35B-oQ2
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+ This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.5.3) mixed-precision quantization.
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+
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+ Base model: [Ornith-1.0-35B](https://huggingface.co/Ornith-1.0-35B)
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  ## Quantization details
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  - **Bits**: 2
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  - **Group size**: 64
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  - **Format**: MLX safetensors
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+
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+ ## Environment
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+
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+ - **Hardware**: M5 MacBook Air 32GB
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+ - **Inference Framework**: oMLX v0.5.3
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+ - **Max Concurrent Requests**: 4
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+ - **Settings**:
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+ - Thinking: Disabled
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+ - TurboQuant KV Cache: Enabled
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+
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+ ## Performance Benchmarks
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+
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+ > **Note**: Results are for reference only and may vary depending on hardware, software configuration, and workload.
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+
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+ ### Single Request Results
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+
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+ | Test | TTFT(ms) | TPOT(ms) | pp TPS | tg TPS | E2E(s) | Throughput | Peak Mem |
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+ |------|----------|----------|--------|--------|--------|------------|----------|
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+ | pp1024/tg128 | 1063.3 | 20.83 | 963.0 tok/s | 48.4 tok/s | 3.722 | 309.5 tok/s | 12.62 GB |
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+ | pp4096/tg128 | 3662.7 | 21.71 | 1118.3 tok/s | 46.4 tok/s | 6.435 | 656.4 tok/s | 13.36 GB |
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+
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+ ### Continuous Batching (pp1024 / tg128)
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+
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+ | Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) |
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+ |-------|--------|---------|--------|------------|----------|--------|
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+ | 1x | 48.4 tok/s | 1.00x | 963.0 tok/s | 963.0 tok/s | 1063.3 | 3.722 |
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+ | 2x | 67.2 tok/s | 1.39x | 871.7 tok/s | 435.9 tok/s | 2349.2 | 6.159 |
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+ | 4x | 100.6 tok/s | 2.08x | 868.4 tok/s | 217.1 tok/s | 4569.1 | 9.804 |
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+
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+ ## Intelligence Benchmark
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+ > **Note**: Each benchmark round tests only 30 questions. Results are for reference only.
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+
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+ | Benchmark | Accuracy | Correct | Total | Time(s) | Think |
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+ |-----------|----------|---------|-------|---------|-------|
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+ | MMLU | 70.0% | 21 | 30 | 33 | No |
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+ | TRUTHFULQA | 76.7% | 23 | 30 | 15.3 | No |
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+ | GSM8K | 96.7% | 29 | 30 | 100.3 | No |
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+ | MATHQA | 16.7% | 5 | 30 | 69.6 | No |
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+ | HUMANEVAL | 83.3% | 25 | 30 | 172.8 | No |