Generation speed is decided by the byte count of the weights, not the parameter count
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4B-INT8 and 8B-INT4 came out at the same speed — and get one thing wrong in how you measure, and 2.35x looks like "no difference" Measured on the same GPU, 4B-INT8 (weights about 4.0GB) and 8B-INT4 (about 4.3GB) came out at nearly the same speed. 5.98ms against 6.50ms per token. Even though the parameter counts differ by 2x. The reason is simple: every time it generates one token, it reads out the model's weights in full . What decides it isn't the amount of compute and isn't the parameter…
1Key Takeaways
- 4B-INT8 and 8B-INT4 came out at the same speed — and get one thing wrong in how you measure, and 2.35x looks like "no difference" Measured on the same GPU, 4B-INT8 (weights about 4.0GB) and 8B-INT4 (about 4.3GB) came out at nearly the same speed.
- Even though the parameter counts differ by 2x.
- The reason is simple: every time it generates one token, it reads out the model's weights in full .
- What decides it isn't the amount of compute and isn't the parameter….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that 4B-INT8 and 8B-INT4 came out at the same speed — and get one thing wrong in how you measure, and 2.35x looks like "no difference" Measured on the same GPU, 4B-INT8 (weights about 4.0GB) and 8B-INT4 (about 4.3GB) came out at nearly the same speed.
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