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Original Model: THUDM/glm-4-9b-chat Original dtype: `BF16` (`bfloat16`) Quantized by: https://github.com/ggerganov/llama.cpp/pull/6999 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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Original Model: THUDM/glm-4-9b-chat Original dtype: `BF16` (`bfloat16`) Quantized by: https://github.com/ggerganov/llama.cpp/pull/6999 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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Original Model: ibm-granite/granite-20b-code-instruct Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp b3649 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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Original Model: NousResearch/Hermes-2-Theta-Llama-3-8B Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp b3003 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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Original Model: internlm/internlm2-math-plus-20b Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp b3008 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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Original Model: internlm/internlm2-math-plus-7b Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp b3008 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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Original Model: LLM360/K2 branch `ckpt_360` Original dtype: `FP16` (`float16`) Quantized by: llama.cpp b3058 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
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K2-IMat-GGUF

legraphista

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation
Input Text→ Output Text
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Original Model: meta-llama/Llama-3.2-3B-Instruct Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp b3825 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

Text generation
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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