Unverified50% confidenceBenchmarkExact time
According to the model card, Ternary Bonsai 2 is reduced to one-ninth the size of FP16 while retaining 98.2% of its intelligence performance.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/17/2026
First Seen
Valid until: 12/16/2026
Sources
Related Entities
Related Claims
UnverifiedOLLAMA_KV_CACHE_TYPE=q8_0 occupies approximately only half the memory of the f16 default, with minimal quality loss63% similarUnverified从BF16到FP8，内存占用减半，但数值表示精度大幅下降62% similarVerifiedINT4 quantization compresses neural network weights from FP32 to a 4-bit integer representation, reducing model size by approximately 8 times.60% similarUnverifiedIQ2_XXS以约2.06位的平均比特率对权重编码，相比IQ3_S（约3.44位）或Q4_K_M（约4.83位）压缩率更高但信息损失更大60% similarUnverified量化推理从FP16降至FP8可将显存需求减半，从FP8降至FP4可进一步减半60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/930492API
curl https://kongchang.com/api/v1/knowledge/claims/930492MCP
get_claim(id=930492)