Add new model
#7
by hvt4 - opened
- MiniCPM5-1B_dynamic_wi8_afp32.litertlm +3 -0
- README.md +1 -0
MiniCPM5-1B_dynamic_wi8_afp32.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3b948cf44754111c574c9d6970a9311f1c07dc021323cf2d7076f76389313be
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size 1105464896
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README.md
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@@ -26,6 +26,7 @@ This repository hosts the [**LiteRT-LM**](https://ai.google.dev/edge/litert-lm)
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* **`minicpm_dynamic_wi8_afp32_gpu_opt.litertlm`**: This model features dynamic weight-only INT8 quantization (wi8) with FP32 activations (afp32), heavily optimized for GPU execution.
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* **`minicpm_wi4b32_wi8_afp32.litertlm`**: This model features mixed INT4-block32(linear)/INT8(embed and lmhead) quantization (wi4b32_wi8) with FP32 activations (afp32).
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## Quantization Benchmark
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* **`minicpm_dynamic_wi8_afp32_gpu_opt.litertlm`**: This model features dynamic weight-only INT8 quantization (wi8) with FP32 activations (afp32), heavily optimized for GPU execution.
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* **`minicpm_wi4b32_wi8_afp32.litertlm`**: This model features mixed INT4-block32(linear)/INT8(embed and lmhead) quantization (wi4b32_wi8) with FP32 activations (afp32).
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* **`MiniCPM5-1B_dynamic_wi8_afp32.litertlm`**: This model features dynamic weight-only INT8 quantization (wi8) with FP32 activations (afp32). It is configured with static prefill memory allocation.
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## Quantization Benchmark
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