Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Model card: huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Architecture

Architecture: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Model type: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Parameters: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Weights dtype: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
File size: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Library name: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Pipeline tag: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium
Hugging Face repo: Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →

Estimated hardware fit
Hardware	Quantization	Device memory	Est. memory	Fits
Apple M3 Ultra	4bit	—	4.5 GB est.	Yes
Mac Studio (Apple M5 Ultra)	4bit	—	4.5 GB est.	Yes
Apple M2 Ultra	4bit	—	4.5 GB est.	Yes
Apple M1 Ultra	4bit	—	4.5 GB est.	Yes
Apple M3 Max	4bit	—	4.5 GB est.	Yes
Apple M4 Max	4bit	—	4.5 GB est.	Yes
Mac Studio (Apple M5 Max)	4bit	—	4.5 GB est.	Yes
MacBook Pro (Apple M5 Max)	4bit	—	4.5 GB est.	Yes
Apple M2 Max	4bit	—	4.5 GB est.	Yes
Apple M1 Max	4bit	—	4.5 GB est.	Yes
Apple M4 Pro	4bit	—	4.5 GB est.	Yes
Mac mini (Apple M5 Pro)	4bit	—	4.5 GB est.	Yes
MacBook Pro (Apple M5 Pro)	4bit	—	4.5 GB est.	Yes
Apple M3 Pro	4bit	—	4.5 GB est.	Yes
Apple M1 Pro	4bit	—	4.5 GB est.	Yes
Apple M2 Pro	4bit	—	4.5 GB est.	Yes
Apple M4	4bit	—	4.5 GB est.	Yes
iMac (Apple M4)	4bit	—	4.5 GB est.	Yes
Mac mini (Apple M6)	4bit	—	4.5 GB est.	Yes
MacBook Air (Apple M5)	4bit	—	4.5 GB est.	Yes
MacBook Pro (Apple M5)	4bit	—	4.5 GB est.	Yes
Apple M2	4bit	—	4.5 GB est.	Yes
Apple M3	4bit	—	4.5 GB est.	Yes
Apple M1	4bit	—	4.5 GB est.	Yes
NVIDIA GeForce RTX 3090	4bit	24 GB	4.5 GB est.	Yes
NVIDIA GeForce RTX 4090	4bit	24 GB	4.5 GB est.	Yes
NVIDIA GeForce RTX 5090	4bit	32 GB	4.5 GB est.	Yes
NVIDIA A100 80GB	4bit	80 GB	4.5 GB est.	Yes
NVIDIA H100 SXM	4bit	80 GB	4.5 GB est.	Yes
NVIDIA H100 NVL	4bit	94 GB	4.5 GB est.	Yes
NVIDIA DGX Spark	4bit	128 GB	4.5 GB est.	Yes
NVIDIA H200	4bit	141 GB	4.5 GB est.	Yes
NVIDIA H200 NVL	4bit	141 GB	4.5 GB est.	Yes
NVIDIA B200	4bit	180 GB	4.5 GB est.	Yes
AMD Instinct MI300X	4bit	192 GB	4.5 GB est.	Yes
AMD Instinct MI325X	4bit	256 GB	4.5 GB est.	Yes
NVIDIA DGX B200	4bit	1,440 GB	4.5 GB est.	Yes

Assumptions (6)

Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Timeline1

Full timeline →

11 Sept 2026
New modelModeldeepseek-coder-7b-instruct-v1.5DeepSeek
New model: deepseek-coder-7b-instruct-v1.5 (DeepSeek)
huggingface
huggingface.co

Change history20

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

deepseek-coder-7b-instruct-v1.5 was not yet in AI Atlas on 1 Jan 2025

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.

20 claims · 20 properties

Release daterelease_date1

Claim history for Release date
Value	Valid from → to	Status	Source	Confidence	Extractor
25 Jan 2024	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Opennessopenness1

Claim history for Openness
Value	Valid from → to	Status	Source	Confidence	Extractor
open-weights	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Licenselicense1

Claim history for License
Value	Valid from → to	Status	Source	Confidence	Extractor
other	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Architecturearchitecture1

Claim history for Architecture
Value	Valid from → to	Status	Source	Confidence	Extractor
LlamaForCausalLM	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Parametersparameter_count1

Claim history for Parameters
Value	Valid from → to	Status	Source	Confidence	Extractor
6.91B	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

File sizefile_size_gb1

Claim history for File size
Value	Valid from → to	Status	Source	Confidence	Extractor
13.8 GB	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
Value	Valid from → to	Status	Source	Confidence	Extractor
deepseek-ai/deepseek-coder-7b-instruct-v1.5	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Pipeline tagpipeline_tag1

Claim history for Pipeline tag
Value	Valid from → to	Status	Source	Confidence	Extractor
text-generation	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Model cardmodel_card_url1

Claim history for Model card
Value	Valid from → to	Status	Source	Confidence	Extractor
https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Downloadsmetric.downloads1

Claim history for Downloads
Value	Valid from → to	Status	Source	Confidence	Extractor
737,905	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Likesmetric.likes1

Claim history for Likes
Value	Valid from → to	Status	Source	Confidence	Extractor
160	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Gatedgated1

Claim history for Gated
Value	Valid from → to	Status	Source	Confidence	Extractor
No	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Last modifiedlast_modified1

Claim history for Last modified
Value	Valid from → to	Status	Source	Confidence	Extractor
2024-02-05T03:38:36+00:00	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Library namelibrary_name1

Claim history for Library name
Value	Valid from → to	Status	Source	Confidence	Extractor
transformers	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

License namelicense_name1

Claim history for License name
Value	Valid from → to	Status	Source	Confidence	Extractor
deepseek	11 Sept 2026 22:17 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

License urllicense_url1

Claim history for License url
Value	Valid from → to	Status	Source	Confidence	Extractor
LICENSE	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
Value	Valid from → to	Status	Source	Confidence	Extractor
3,317,107	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Model typemodel_type1

Claim history for Model type
Value	Valid from → to	Status	Source	Confidence	Extractor
llama	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Tagstags1

Claim history for Tags
Value	Valid from → to	Status	Source	Confidence	Extractor
transformers, safetensors, llama, text-generation	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
Value	Valid from → to	Status	Source	Confidence	Extractor
BF16	11 Sept 2026 21:29 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

20

Source tiers

T220

Freshest observation

7 h ago

Conflicts

None

Source documents 3

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5/raw/main/README.md	model_card	T2· Quality secondary	7 h ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5	model_page	T2· Quality secondary	7 h ago	4
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/models?author=deepseek-ai&p=0&sort=downloads	listing	T2· Quality secondary	8 h ago	6

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (53/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →