Paper measures mismatch on-policy distillation can tolerate
Model-specific FP8 recipes kept quality and fit at least 1.93x as many KV-cache tokens as BF16.
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Model-specific FP8 recipes kept quality and fit at least 1.93x as many KV-cache tokens as BF16.
ZYFA achieves up to 1.76x faster performance using FP8 FlashAttention on AMD MI355X.
Publisher says refusal was removed by a weight edit, not fine-tuning, and its MMLU score fell 3.86 points.
On one H100, prefill reaches 1.29 PFLOP/s and is up to 1.48x faster than compiled PyTorch FP8.
A paper on Hugging Face's daily papers describes FP8 reinforcement learning challenges and proposes a solution to fix training instability in LLMs.
VC-Attention is a training-free low-bit attention method for diffusion transformers, achieving 1.46-1.59x kernel speedups on datacenter GPUs with higher fidelity.
FP8 quantization of attention queries, keys, and values speeds tabular foundation model inference up to 1.7x with no accuracy loss.
Hugging Face user dealignai published an uncensored FP8-quantized variant of DeepSeek v4.1 Flash, drawing moderate Hacker News attention.
ZGCM-1 is a fully open 7B foundation model with 256K context that stays competitive with frontier models on math reasoning and agentic search.
Independent developer Hugo Vergnes trained a 3.8B-parameter Llama-style model to 0.384 CORE on 65B tokens for $998 in 43 hours on rented B200s.
dealignai releases GLM-5.3-CYBERSECURITY-FP8, a 753B MoE weight-modified variant cutting refusals on offensive-security prompts, trending #13.
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