ChatCrawlersearch across public Telegram Open the app
P

Python 中文交流群

snapshot for April 2026
April 2026 ×
21 April 2026
我感觉,今年以前,本地跑的模型基本上没什么用。今年之后,发布的模型,基本上都够用了。
L
你们说的搞得我心痒痒的,我就去试了一下,感觉这个模型,智商还是差了点,我用的bf16版本测试的, 平均才40tps
macstudio除了内存大,相比于计算卡还是拉不开优势
4500买一个7900xtx,基本可以7b dense q4 160-170
M
但是现在整机比较贵,所以mac还是有性价比的
新测试,短时间用用行,一直用这玩意儿会降频,tokens就不到30/s了
Фотография
click to show
L
要论性价比,还是各家厂商买CodingPlan最划算
对我来说,已经够用了。
22 April 2026
叶风对我来说,已经够用了。
难绷,我昨天测了一下,bf16的版本效果这样 Intelligence Benchmark Comparison Mode Sampled Qwen3.6-35B-A3B-bf16 Qwen3.6-35B-A3B-nvfp4 ----------------------------------------------------------------------------------- MMLU Sample 500/14042 88.6% 88.4% HELLASWAG Sample 200/10042 93.0% 93.5% TRUTHFULQA Full 817 91.2% 89.1% HUMANEVAL Full 164 95.7% 93.9% MBPP Sample 200/500 92.0% 88.5% LIVECODEBENCH Sample 100/1055 46.0% 34.0% --- Detail --- Model: Qwen3.6-35B-A3B-bf16 Benchmark Accuracy Correct Total Time(s) Think -------------------------------------------------------------- MMLU 88.6% 443 500 8361.4 Yes HELLASWAG 93.0% 186 200 2609.3 Yes TRUTHFULQA 91.2% 745 817 10702 Yes HUMANEVAL 95.7% 157 164 5499 Yes MBPP 92.0% 184 200 6927.8 Yes LIVECODEBENCH 46.0% 46 100 19808.4 Yes Model: Qwen3.6-35B-A3B-nvfp4 Benchmark Accuracy Correct Total Time(s) Think -------------------------------------------------------------- MMLU 88.4% 442 500 2460.5 Yes HELLASWAG 93.5% 187 200 678.8 Yes TRUTHFULQA 89.1% 728 817 3223.2 Yes HUMANEVAL 93.9% 154 164 1655.8 Yes MBPP 88.5% 177 200 2913.9 Yes LIVECODEBENCH 34.0% 34 100 5041.3 Yes
问答还行,用来编程的话还是你不要浪费时间了
Фотография
click to show
L
测到后面,速度就只剩18了
A
我试了让claudecode接本地llm跑、最后下场是十几轮都修不过编译🫠
Open in Telegram Каталог площадок Искать в ChatCrawler

A snapshot of an open public feed from the search index ChatCrawler — “Google for public Telegram”; refreshed as the venue is crawled. Times are UTC.

Public content only, official Telegram API. About · FAQ · What we do not do · Remove a page · Catalog