InternVL2-8B-AWQ
2.9K downloads
1 likes
on ModelScope
updated
ModelScope
OpenGVLab/InternVL2-8B-AWQ · model repository
official
- Revision
-
master - Files
- 26
- Downloaded from this source
- 2.9K
Provider-specific. This path, revision and file list belong to ModelScope alone. A different source for the same model may publish different files, or the same names with different contents — which is why nothing here is merged across providers.
Files 26
· revision master
Hashes: Git OID identifies the file in the repository; LFS SHA256 is the fingerprint of a large file's contents; Xet is the provider's own content fingerprint. Expand “hashes” on any row for the full values.
-
.gitattributes 1.5 KiB
11ad7efa2497hashes
- LFS SHA256
11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
-
added_tokens.json 179 B
df59e170102fhashes
- LFS SHA256
df59e170102f8d19d3e186cc91c81006c9822ea9fe8ce2b68e7be77195c01db3
-
config.json 4 KiB
338271fa8fe4hashes
- LFS SHA256
338271fa8fe41d7ff0e59139381a7c3abf7ec90140c39540d16eb893e72ee645
-
configuration.json 76 B
7f5e4dab8f26hashes
- LFS SHA256
7f5e4dab8f262b1731914cb110764c86dbfc0459a136de7cc3ae4ae375edc828
-
configuration_intern_vit.py 5.4 KiB
22dd687a5f14hashes
- LFS SHA256
22dd687a5f142985407675fc6b1dc688c2ded93e54192543ecf28ef495a6efa8
-
configuration_internlm2.py 6.8 KiB
9f9e14d64be7hashes
- LFS SHA256
9f9e14d64be7b81068e8421fd27e1c466b3fb6aeb67725ca328e56083c3f7a60
-
configuration_internvl_chat.py 4 KiB
20bd8ddcf5c5hashes
- LFS SHA256
20bd8ddcf5c51f9fded0e3191db2bc00a7012fd3f7912dea4277fa24f17b6e32
-
conversation.py 15 KiB
b1b9f280e9cbhashes
- LFS SHA256
b1b9f280e9cb9211e519e2b8071002b57cc742aadb2f49b05fa674ee3c7d83ee
-
generation_config.json 115 B
eac5a6b0dff2hashes
- LFS SHA256
eac5a6b0dff266d8ce2fcf6c05880d7ff71087ca273d1fafd6fd2f53b2565d2e
-
inputs_stats.pth LFS 9.6 MiB
a9ef32291e97hashes
- LFS SHA256
a9ef32291e97b14ecc51bc07c16910f6170b036b2ba273e787a62f3f373be584
-
key_stats.pth LFS 218.2 KiB
7c043060d6a9hashes
- LFS SHA256
7c043060d6a982edd7b3073e688c50820cde6185e56e99a81838d11a924de595
-
modeling_intern_vit.py 17.7 KiB
1978e330ea55hashes
- LFS SHA256
1978e330ea5533dda4d1379096aded271fc741347fc48cb4924846b56a2a6a4b
-
modeling_internlm2.py 59.8 KiB
c014d933c6afhashes
- LFS SHA256
c014d933c6afdf7414791c1859c692ca4b49c925688bcc00fbd1658ef75fb0ba
-
modeling_internvl_chat.py 15.6 KiB
1915c32d984ahashes
- LFS SHA256
1915c32d984aed6750e911884ad59f92504f73b799c7443121c67b9cb21fe347
-
outputs_stats.pth LFS 16 MiB
dcf4fd28d50bhashes
- LFS SHA256
dcf4fd28d50ba6f7eb028e87c169ebc8e006b3dbdac6362436dd6329d6c5aafc
-
preprocessor_config.json 287 B
0658115064c5hashes
- LFS SHA256
0658115064c561026539aeeead9ed3b1a8e0cc90967df8c142849199f955d2b4
-
pytorch_model-00001-of-00003.bin LFS 1.8 GiB
adc380b23a44hashes
- LFS SHA256
adc380b23a44856ba4344701100c356f2943f393f8ef7783983a6fe6a7a7d85a
-
pytorch_model-00002-of-00003.bin LFS 1.9 GiB
32e4d77f638ahashes
- LFS SHA256
32e4d77f638a87de9b01a7a2c8329d5b3648fdf2ea573ec067562158dd16cae7
-
pytorch_model-00003-of-00003.bin LFS 1.7 GiB
ef853af23cd1hashes
- LFS SHA256
ef853af23cd12e417584a104c7dd7217b15ae3157d5816110162843190b034e6
-
pytorch_model.bin.index.json 80.1 KiB
eba9dd06d740hashes
- LFS SHA256
eba9dd06d7403002e1725684a73823cb8600b42c03960f040dac761f37c08ab7
-
README.md 5.4 KiB
b5a48edbc1a9hashes
- LFS SHA256
b5a48edbc1a9a077b2b3015953cbab32a40f6551717cd7f591405cf791d7d643
-
special_tokens_map.json 844 B
8cb729e6fd4chashes
- LFS SHA256
8cb729e6fd4c29e8c5be65cb51128735cea0ab56606a186cf8cbb30123c72eae
-
tokenization_internlm2.py 8.6 KiB
e548dc777a1dhashes
- LFS SHA256
e548dc777a1def2f5339cfe12de8da2d12500d664e3dafa5c585c407e4b806fa
-
tokenizer.model LFS 1.4 MiB
f868398fc4e0hashes
- LFS SHA256
f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
-
tokenizer_config.json 3.9 KiB
2a0e30fb556ehashes
- LFS SHA256
2a0e30fb556e25b8255729fcb67db4e0e1a265e3fb177d9b09316f7c665f31f7
-
value_stats.pth LFS 218.4 KiB
497559a777dahashes
- LFS SHA256
497559a777da23f9dca2e2a466e92bf2ad02b4f0f3eaeb9c6f0fe9398ef41c1a