Unverified50% confidenceBenchmarkExact time
The smallest model, LFM 1.2B, has a median generation rate of approximately 208 tokens/s, with a current task score of only 5/16 substantive and 2/16 strict.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedThe LFM 2.6B thinking variant achieves 12/16 substantive at approximately 97 tokens/s.79% similarUnverified在配备96GB显存的M2 Max上以1-bit精度运行时,简单任务生成速度稳定在约28-30 tokens/秒74% similarUnverifiedThe UP host tested MiniCPM-2B on a computer with 4G VRAM and achieved a generation speed of 57 tokens per second, with a first-token latency of only 0.22 seconds.69% similarUnverifiedOn an RTX 5090, Muse Glimmer runs at 75 tokens/second without speculative decoding, and reaches 233 tokens/second when paired with a speculative decoding model69% similarUnverifiedThe arithmetic intensity of the decoding stage in LLM autoregressive generation is extremely low: for a 7B-parameter FP16 model, one forward pass requires loading approximately 14 GB of weights but executes only about 14 GFLOPs of computation, resulting in an arithmetic intensity of approximately 1 FLOP/Byte, making it a bandwidth-bound workload.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1003728API
curl https://kongchang.com/api/v1/knowledge/claims/1003728MCP
get_claim(id=1003728)