跳转到主要内容

AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

QuantFactory

deepseek-coder-6.7b-instruct-GGUF

QuantFactory/deepseek-coder-6.7b-instruct-GGUF
Model details
text generationLicense: deepseek (custom terms)SHA-256 recorded for 14 of 16 filesGGUF

Content controls: not assessed.

Listed for chat; for developers building conversational tools. Catalog sources: baseModel, tags, task, cardMetadata.pipelineTag.

1 hosted of 16 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
deepseek-coder-6.7b-instruct.Q4_K_M.gguf Default4.08 GB
fbc693f8…a0514e1dfbc693f8e31f95f6317456eb6fd63a5c5e0dc476d5284e80f4097831a0514e1d
Hosted下载
deepseek-coder-6.7b-instruct.Q2_K.gguf2.53 GB
0bde4f97…398206d10bde4f9797c6baaa04992d4443bbe02ec86c40202dd58576a48af2ab398206d1
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q3_K_L.gguf3.6 GB
9870749a…40ce4a719870749a7a2e4486ff9cd990e80ee41aa560c3656e5edaf25c8d84e140ce4a71
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q3_K_M.gguf3.3 GB
8563f857…83091a1e8563f857c57c00001a1c9bf0fcc480a975fe92a7537e3a637c2e6f6b83091a1e
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q3_K_S.gguf2.95 GB
6f31a0e4…c80d41bf6f31a0e4fce77fee247ea01fbcf999ce3658474722302911f8d8ec8ac80d41bf
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q4_0.gguf3.83 GB
a0b6a323…d5da3d34a0b6a323eef9cd7fbc3c49acb6139e9229a3720ddf98bcd46dc0693dd5da3d34
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q4_1.gguf4.24 GB
49fe0391…8e02747249fe03916015b81e2de9412b088a458e57958d6350599a9ca33cc9d18e027472
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q4_K_S.gguf3.86 GB
c90f124f…ea5f2374c90f124f7fb9799bdfec4c0fb4f771d199a13f024c57e2637d7dbd4bea5f2374
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q5_0.gguf4.65 GB
115b03be…5b24cc14115b03be9c4510417179de56f0d0cc873cbaadc78432f43fda6608255b24cc14
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q5_1.gguf5.07 GB
c1aab618…2e5e89abc1aab61862cf30f9f2871ca2c0a92aa2454a6c3a91e9b1188e1a56bb2e5e89ab
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q5_K_M.gguf4.79 GB
1ad68b4e…cbfa16b31ad68b4ed3dd495f190c574854350e53a475c92ff6c40c14e40df40ccbfa16b3
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q5_K_S.gguf4.65 GB
12cb5d10…1477321112cb5d105e3cc7b7ff2dcf48149f000cf9c1f34224c06e1fcca306d014773211
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q6_K.gguf5.53 GB
432b8d79…752bc2af432b8d797969ca87634a95662e89f2e10c9190d5f8ffc1d8691e7c31752bc2af
Upstream onlyFile metadata
deepseek-coder-6.7b-instruct.Q8_0.gguf7.16 GB
f7a12ff8…1620b332f7a12ff8acabd22658b6acd41b0ee729f194f5a9152e13e653b1a07c1620b332
Upstream onlyFile metadata
Docs
.gitattributes2.58 KB—Upstream onlyFile metadata
README.md3.89 KB—Upstream onlyFile metadata

检查下载文件

In the folder where you saved deepseek-coder-6.7b-instruct.Q4_K_M.gguf, run:

macOS
shasum -a 256 -- 'deepseek-coder-6.7b-instruct.Q4_K_M.gguf'
Linux
sha256sum -- 'deepseek-coder-6.7b-instruct.Q4_K_M.gguf'
Windows
Get-FileHash -LiteralPath 'deepseek-coder-6.7b-instruct.Q4_K_M.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.