DeepSeek-Coder-V2-Lite-Base-GGUF GGUF download | Hugging Bay

DeepSeek-Coder-V2-Lite-Base-GGUF

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QuantFactory/DeepSeek-Coder-V2-Lite-Base-GGUF

Model details

text generationLicense: deepseek-license (custom terms)SHA-256 recorded for 14 of 16 filesGGUF

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: baseModel, tags, task, cardMetadata.pipelineTag.

Can I run it?View as JSON →

Quick answer: compatibility and sources

Can I run DeepSeek-Coder-V2-Lite-Base-GGUF on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 1 hosted file; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

DeepSeek-Coder-V2-Lite-Base-GGUF is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on 2026-10-23.

Recorded SHA-256 for DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf: 1c4ae2319d2c6c5a19e03ce5a095a26fb458ffcd807112123a42d226196515da. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated 2026-10-21 · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of 2026-09-19 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-23.

Key facts

Catalog record: Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence: Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence: Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope: SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

This page’s quick answer names the file record for hf-model-quantfactory-deepseek-coder-v2-lite-base-gguf.
Open /artifact/hf-model-quantfactory-deepseek-coder-v2-lite-base-gguf/files for this exact filenames, availability and any recorded SHA-256.
Open /evidence/artifacts/hf-model-quantfactory-deepseek-coder-v2-lite-base-gguf for run-readiness evidence tied to that record; absent receipts stay unmeasured.
Open /api/artifacts/hf-model-quantfactory-deepseek-coder-v2-lite-base-gguf/card.md for machine-readable source facts (not a runtime test).
A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

File availability check: 2026-10-23
Committed page-copy sources: 2026-10-21
Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-quantfactory-deepseek-coder-v2-lite-base-gguf/DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf",
    "DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerMac (Apple silicon) and Linux x86_64 installs are listed on the download page. Windows and Intel Mac are not yet. The app checks this model before you choose to download.

1 hosted of 16 listed · Hashes recorded. Date not recorded.

Selected downloadDeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf10.36 GB · 1 file Download · 10.36 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

Model facts

DeepSeek-Coder-V2-Lite-Base-GGUF is an open-weights language model for text generation. The primary file is DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf (10.36 GB, Q4_K_M). The primary file needs about 13 GB free for the Q4 file (file plus room to run it). License: unknown. The SHA-256 prefix is 1c4ae2319d2c. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

What's included

1 hosted of 16 listed

Weights

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for QuantFactory/DeepSeek-Coder-V2-Lite-Base-GGUF. Task: text generation. Library: unknown. Base model: deepseek-ai/DeepSeek-Coder-V2-Lite-Base. Popularity signal at import: 945 downloads and 1 likes.

Quick facts

Hosted here: 1 hosted of 16 listed
Full repo upstream: 145.6 GB
Recommended file: 10.4 GB (Q4_K_M) · DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf
Format: GGUF
File hashes: Hashes recorded. Date not recorded.

License & source

License: deepseek-license (custom terms)

1 hosted of 16 listed

The model's publisher names its own license (deepseek-license). We have not checked its terms. Read them before you use or share the files.

See the JSON record →

License: deepseek-license (custom terms)
Task: text generation
Hosted here: 1 file, 10.4 GB
Full repo upstream: 145.6 GB
Recommended file: 10.4 GB (Q4_K_M) · DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf
Files: 1 hosted of 16 listed
Download: Download here (1 hosted file)
Added to Hugging Bay: Sep 19, 2026
Updated at source: Sep 19, 2026
Source: QuantFactory/DeepSeek-Coder-V2-Lite-Base-GGUF

FAQ

What is this model?

QuantFactory/DeepSeek-Coder-V2-Lite-Base-GGUF is an open-weights language model for text generation published by QuantFactory, added to Hugging Bay Sep 19, 2026. Model from Hugging Face for text generation: QuantFactory/DeepSeek-Coder-V2-Lite-Base-GGUF · unknown

Can I use it commercially?

License: deepseek-license (custom terms). We have not checked these terms. Read them or ask the model author before commercial use.

How big is it?

Hosted here: 1 file, 10.4 GB. Full repo upstream: 145.6 GB. The recommended download, DeepSeek-Coder-V2-Lite-Base.Q4_K_M.gguf (Q4_K_M), is 10.4 GB.

What can I download here?

Hosted here: 1 file, 10.4 GB. Full repo upstream: 145.6 GB.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-quantfactory-deepseek-coder-v2-lite-base-gguf/safety on Hugging Bay.

Will QuantFactory/DeepSeek-Coder-V2-Lite-Base-GGUF run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

Repack of deepseek-ai/deepseek-coder-v2-lite-base (from the publisher card on Hugging Face). This does not mean the files match the original weights.