而且由于没有思维链所以一输出就是实质性内容。后面可以测试一下在本地条件下DeepSeek-Coder-V2:16b和DeepSeek R1:32b在写代码方面哪个更好。此外，7b的测试如下：1.5b的测试如下：速度方面自不必再提，7b和1.5b的速度都是飞快。后来我将内存更换为了64G，于是下载测试70b版本：70b的速度就很慢很慢了，大概1秒1
为了了解模型大小和速度的差异,以下是它们在我的笔记本电脑上运行的 GGUF 文件大小以及它们的每秒令牌数 (t/s): 代码22B - 18GB~ (3.31t/s) Deepseek Coder v2 Lite 16B - 14GB~ (8.35t/s) Qwen 2.5 编码器 7B - 6.3GB~ (10.31t/s) 经典游戏 以下是您文章的编辑版本,其中包含对语法、拼写和...
Hi, I noticed previous out of memory error fix at version 0.1.45-rc3. [https://github.com//issues/5113]. ollama run deepseek-coder-v2 Now I'm getting a cuda error. "CUBLAS_STATUS_NOT_INITIALIZED" Other models are running fine. ...
type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER; 1261 1278 vocab.tokenizer_clean_spaces = false; 1279 + } else if ( 1280 + tokenizer_pre == "deepseek-v3") { 1281 + vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK3_LLM; 1282 + vocab.tokenizer_clean_spaces = false; 1262 ...
5-coder的7b（一般个人电脑的上限）的模型，因为deepseekv2-coder最小是16b的参数，这个可以在有显卡的...
5566 5600 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER; 5567 5601 vocab.tokenizer_clean_spaces = false; 5602 + } else if ( 5603 + tokenizer_pre == "deepseek-v3") { 5604 + vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK3_LLM; ...
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER; vocab.tokenizer_clean_spaces = false; } else if ( tokenizer_pre == "deepseek-v3") { vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK3_LLM; vocab.tokenizer_clean_spaces = false; } else if ( tokenizer_pre == "falcon") { vocab...
1259 1276 tokenizer_pre == "deepseek-coder") { 1260 1277 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER; 1261 1278 vocab.tokenizer_clean_spaces = false; 1279 + } else if ( 1280 + tokenizer_pre == "deepseek-v3") { 1281 + vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEP...
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER; vocab.tokenizer_clean_spaces = false; } else if ( tokenizer_pre == "deepseek-v3") { vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK3_LLM; vocab.tokenizer_clean_spaces = false; } else if ( tokenizer_pre == "falcon") { vocab...
vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER; vocab.tokenizer_clean_spaces = false; } else if ( tokenizer_pre == "deepseek-v3") { vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK3_LLM; vocab.tokenizer_clean_spaces = false; } else if ( tokenizer_pre == "falcon") { vocab...