🚀 Qwen2.5：开源大模型的新突破！🌟
摘要
Qwen2.5系列以其在编码、数学、指令遵循和长文本生成等方面的卓越表现，成为开源大模型的新宠。它支持多语言，能够处理长上下文和生成大量令牌，是提升效率和探索新领域的强大工具。
内容
Qwen2.5系列是Qwen家族中的最新成员，它带来了从0.5亿到72亿参数的多样化基础语言模型和指令调优模型。📈 相较于Qwen2，Qwen2.5在编码和数学领域拥有显著增强的能力，这得益于其专门的专家模型。🧠 它在指令遵循、长文本生成（超过8K令牌）、理解结构化数据（例如表格）以及生成结构化输出（尤其是JSON格式）方面取得了巨大进步。📊 此外，Qwen2.5能够支持长达128K令牌的长上下文，并生成高达8K令牌的内容。🌐 它还支持超过29种语言，包括中文、英文、法文、西班牙文等。🌍 除了3B和72B模型外，其他所有模型均在Apache 2.0许可下发布，而3B和72B模型则在Qwen许可下发布。📄
Run the model locally
Id
a8b0c5157701
65ec06548149
357c53fb659c
845dbda0ea48
7cdf5a0187d5
9f13ba1299af
424bad2cc13f
24c564a74dea
b439066a7c50
59bf60d67517
2b0f4078dcc1
cf1fe7a28bac
a990247b9c63
50cc344abeb2
24c564a74dea
75db83387279
a30fbb649ad5
c3e31c5b32da
2484afe4f04e
db0459695543
a8b0c5157701
c82efd44bfdc
fa66a85e7fe2
2ea07e2fd539
a1b962ae1ffb
2b61ae1bb74f
44deb286b008
61378941e31f
a8b0c5157701
6f4611e3bd35
4a8f6fc82b6e
95b03700b65c
0762ec590a8c
5830fc2c0193
ac75f8387539
84d044692a2c
65ec06548149
d8035f049126
c239521b8b51
b16c18a133fa
5a4d48f91dab
2ead4934f6e9
635e70c8687b
4543b48a5085
65ec06548149
17dd5468f0a7
267c3094f0b0
828d5d698355
7a0e895425bc
4dce61337043
03ec957c269f
b19683a34698
7cdf5a0187d5
06c8c6f15cf9
9caf6424b5f9
0ab75160d333
4d8dbee0507f
c8f457c1f8f5
5449194ff803
4d404313d9cd
7cdf5a0187d5
927254c04779
e242bafd33eb
43a5486ba383
7bb3f324cafc
f766877d708a
4f6861a20c29
985c5f25dfe9
9f13ba1299af
d988bddd9a2e
ecc53cfdce75
83db34c608fc
44bd723cfd42
aefb7287ac72
0508d3b6da02
c35507089a57
9f13ba1299af
0ef28b3b6dba
af981f1d421b
fc1b4cb1aabb
b0936ea364bf
3cb439a8d19b
09f123ce518b
378290543760
357c53fb659c
de47f806df14
1fe27cd0c26a
f8d588c5572a
c3240229f22f
5ed381ff5c13
09f7fe4d29e6
c8aefde2cd4f
357c53fb659c
3033a0ab2cfd
f2c8c51a4c62
c7e5301cb49e
19cf317bd479
8ce4b148557a
9f78f7728716
cd6aa8b25d7a
424bad2cc13f
754bbe314ad4
d072709cc1a8
c3f33d2ad20a
15abb3b7022f
6fcfede9cc1c
2dd03ae27777
bcf8fafd0731
424bad2cc13f
a4520526d819
7a43bbfe6536
40630a45532c
210a146b67de
ee3ecbad0795
5f611a49224d
23f2cb48bb9a
845dbda0ea48
59805ce4a404
94ac6d14b93f
6ed3506191d1
29492a928341
05d9cc3116db
2e92ac0dd3a8
840e00017aa6
845dbda0ea48
d572758f0ffe
16c4cf552635
0f1627cf5764
a1040ddd2b49
1a3492b0a1dc
a7e494737d58
2d9500c94841
Model
0.5b
1.5b
3b
7b
14b
32b
72b
0.5b-base
0.5b-base-q2_K
0.5b-base-q3_K_L
0.5b-base-q3_K_M
0.5b-base-q3_K_S
0.5b-base-q4_0
0.5b-base-q4_1
0.5b-base-q4_K_M
0.5b-base-q4_K_S
0.5b-base-q5_0
0.5b-base-q5_1
0.5b-base-q5_K_S
0.5b-base-q8_0
0.5b-instruct
0.5b-instruct-fp16
0.5b-instruct-q2_K
0.5b-instruct-q3_K_L
0.5b-instruct-q3_K_M
0.5b-instruct-q3_K_S
0.5b-instruct-q4_0
0.5b-instruct-q4_1
0.5b-instruct-q4_K_M
0.5b-instruct-q4_K_S
0.5b-instruct-q5_0
0.5b-instruct-q5_1
0.5b-instruct-q5_K_M
0.5b-instruct-q5_K_S
0.5b-instruct-q6_K
0.5b-instruct-q8_0
1.5b-instruct
1.5b-instruct-fp16
1.5b-instruct-q2_K
1.5b-instruct-q3_K_L
1.5b-instruct-q3_K_M
1.5b-instruct-q3_K_S
1.5b-instruct-q4_0
1.5b-instruct-q4_1
1.5b-instruct-q4_K_M
1.5b-instruct-q4_K_S
1.5b-instruct-q5_0
1.5b-instruct-q5_1
1.5b-instruct-q5_K_M
1.5b-instruct-q5_K_S
1.5b-instruct-q6_K
1.5b-instruct-q8_0
14b-instruct
14b-instruct-fp16
14b-instruct-q2_K
14b-instruct-q3_K_L
14b-instruct-q3_K_M
14b-instruct-q3_K_S
14b-instruct-q4_0
14b-instruct-q4_1
14b-instruct-q4_K_M
14b-instruct-q4_K_S
14b-instruct-q5_0
14b-instruct-q5_1
14b-instruct-q5_K_M
14b-instruct-q5_K_S
14b-instruct-q6_K
14b-instruct-q8_0
32b-instruct
32b-instruct-fp16
32b-instruct-q2_K
32b-instruct-q3_K_L
32b-instruct-q3_K_M
32b-instruct-q3_K_S
32b-instruct-q4_0
32b-instruct-q4_1
32b-instruct-q4_K_M
32b-instruct-q4_K_S
32b-instruct-q5_0
32b-instruct-q5_1
32b-instruct-q5_K_M
32b-instruct-q5_K_S
32b-instruct-q6_K
32b-instruct-q8_0
3b-instruct
3b-instruct-fp16
3b-instruct-q2_K
3b-instruct-q3_K_L
3b-instruct-q3_K_M
3b-instruct-q3_K_S
3b-instruct-q4_0
3b-instruct-q4_1
3b-instruct-q4_K_M
3b-instruct-q4_K_S
3b-instruct-q5_0
3b-instruct-q5_1
3b-instruct-q5_K_M
3b-instruct-q5_K_S
3b-instruct-q6_K
3b-instruct-q8_0
72b-instruct
72b-instruct-fp16
72b-instruct-q2_K
72b-instruct-q3_K_L
72b-instruct-q3_K_M
72b-instruct-q3_K_S
72b-instruct-q4_0
72b-instruct-q4_1
72b-instruct-q4_K_M
72b-instruct-q4_K_S
72b-instruct-q5_0
72b-instruct-q5_1
72b-instruct-q5_K_M
72b-instruct-q5_K_S
72b-instruct-q6_K
72b-instruct-q8_0
7b-instruct
7b-instruct-fp16
7b-instruct-q2_K
7b-instruct-q3_K_L
7b-instruct-q3_K_M
7b-instruct-q3_K_S
7b-instruct-q4_0
7b-instruct-q4_1
7b-instruct-q4_K_M
7b-instruct-q4_K_S
7b-instruct-q5_0
7b-instruct-q5_1
7b-instruct-q5_K_M
7b-instruct-q5_K_S
7b-instruct-q6_K
7b-instruct-q8_0
Size
398MB
986MB
1.9GB
4.7GB
9.0GB
20GB
47GB
398MB
339MB
369MB
355MB
338MB
352MB
375MB
398MB
385MB
397MB
419MB
413MB
531MB
398MB
994MB
339MB
369MB
355MB
338MB
352MB
375MB
398MB
385MB
397MB
419MB
420MB
413MB
506MB
531MB
986MB
3.1GB
676MB
880MB
824MB
761MB
935MB
1.0GB
986MB
940MB
1.1GB
1.2GB
1.1GB
1.1GB
1.3GB
1.6GB
9.0GB
30GB
5.8GB
7.9GB
7.3GB
6.7GB
8.5GB
9.4GB
9.0GB
8.6GB
10GB
11GB
11GB
10GB
12GB
16GB
20GB
66GB
12GB
17GB
16GB
14GB
19GB
21GB
20GB
19GB
23GB
25GB
23GB
23GB
27GB
35GB
1.9GB
6.2GB
1.3GB
1.7GB
1.6GB
1.5GB
1.8GB
2.0GB
1.9GB
1.8GB
2.2GB
2.3GB
2.2GB
2.2GB
2.5GB
3.3GB
47GB
145GB
30GB
40GB
38GB
34GB
41GB
46GB
47GB
44GB
50GB
55GB
54GB
51GB
64GB
77GB
4.7GB
15GB
3.0GB
4.1GB
3.8GB
3.5GB
4.4GB
4.9GB
4.7GB
4.5GB
5.3GB
5.8GB
5.4GB
5.3GB
6.3GB
8.1GB
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