neopolita/toolace-8b-gguf

GGUF quants for **Team-ACE/ToolACE-8B** using llama.cpp

Terms of Use: Please check the **original model**

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Quants

• —q2_k: Uses Q4K for the attention.vw and feedforward.w2 tensors, Q2_K for the other tensors.
• —q3_k_s: Uses Q3_K for all tensors
• —q3_k_m: Uses Q4K for the attention.wv, attention.wo, and feedforward.w2 tensors, else Q3_K
• —q3_k_l: Uses Q5K for the attention.wv, attention.wo, and feedforward.w2 tensors, else Q3_K
• —q4_0: Original quant method, 4-bit.
• —q4_1: Higher accuracy than q40 but not as high as q50. However has quicker inference than q5 models.
• —q4_k_s: Uses Q4_K for all tensors
• —q4_k_m: Uses Q6K for half of the attention.wv and feedforward.w2 tensors, else Q4_K
• —q5_0: Higher accuracy, higher resource usage and slower inference.
• —q5_1: Even higher accuracy, resource usage and slower inference.
• —q5_k_s: Uses Q5_K for all tensors
• —q5_k_m: Uses Q6K for half of the attention.wv and feedforward.w2 tensors, else Q5_K
• —q6_k: Uses Q8_K for all tensors
• —q8_0: Almost indistinguishable from float16. High resource use and slow. Not recommended for most users.