Specification

Release date: 17 Jun 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Openness: open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
License: other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Parameters: 15.7B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Base model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 9 min agomedium
Quantization: IQ2_M, IQ2_S, IQ2_XS, IQ3_M, IQ3_XS, IQ3_XXS, IQ4_XS, Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_K_L, Q4_K_M, Q4_K_S, Q5_K_L, Q5_K_M, Q5_K_S, Q6_K, Q6_K_L, Q8_0, Q8_0_L
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Quantization format: gguf
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Hugging Face repo: bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Pipeline tag: text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Model card: huggingface.co/bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads: 428,897
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 59 min agomedium
Likes: 187
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 59 min agomedium
Gated: No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Is quantized: Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Last modified: 2024-06-20T17:12:43+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
License name: deepseek-license
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 9 min agomedium
License url: LICENSE
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads all time: 1,255,879
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 59 min agomedium
Quantized by: bartowski
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Tags: gguf, text-generation, imatrix
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

20

Source tiers

T220

Freshest observation

9 min ago

Conflicts

None

Modalities

Modalities unavailable.

Capabilities

Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable

No capability flags have been observed from a source yet — we do not infer them.

No structured attributes yet.

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Current prices

No current prices recorded

Prices appear when a provider publishes a public pricing page we crawl.

Price history

Estimated

Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.

Estimated hardware fit
Hardware	Quantization	Memory	Est. need	Fits
Apple M3 Ultra	4bit	—	9.5 GB	Yes
AMD Instinct MI325X	4bit	256 GB	9.5 GB	Yes
AMD Instinct MI300X	4bit	192 GB	9.5 GB	Yes
Apple M2 Ultra	4bit	—	9.5 GB	Yes
NVIDIA B200	4bit	180 GB	9.5 GB	Yes
NVIDIA H200	4bit	141 GB	9.5 GB	Yes
Apple M1 Ultra	4bit	—	9.5 GB	Yes
Apple M3 Max	4bit	—	9.5 GB	Yes
Apple M4 Max	4bit	—	9.5 GB	Yes
NVIDIA DGX Spark	4bit	128 GB	9.5 GB	Yes
Apple M2 Max	4bit	—	9.5 GB	Yes
NVIDIA A100 80GB	4bit	80 GB	9.5 GB	Yes
NVIDIA H100 SXM	4bit	80 GB	9.5 GB	Yes
Apple M1 Max	4bit	—	9.5 GB	Yes
Apple M4 Pro	4bit	—	9.5 GB	Yes
Apple M3 Pro	4bit	—	9.5 GB	Yes
Apple M1 Pro	4bit	—	9.5 GB	Yes
Apple M2 Pro	4bit	—	9.5 GB	Yes
Apple M4	4bit	—	9.5 GB	Yes
NVIDIA GeForce RTX 5090	4bit	32 GB	9.5 GB	Yes
Apple M2	4bit	—	9.5 GB	Yes
Apple M3	4bit	—	9.5 GB	Yes
NVIDIA GeForce RTX 3090	4bit	24 GB	9.5 GB	Yes
NVIDIA GeForce RTX 4090	4bit	24 GB	9.5 GB	Yes
Apple M1	4bit	—	9.5 GB	Yes

Ancestors 1

DeepSeek-Coder-V2-Lite-Instruct15.7B

This model

bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF

15.7B params

Quantizations 0

None recorded.

Descendants 0

None recorded.

Papers 0

No papers linked yet.

Repositories 0

No repositories linked yet.

As of

Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.

Claim history · Downloads all time

1 claims · 1 propertiesShow all properties

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
Value	Valid from → to	Status	Source	Confidence	Extractor
1,255,879	11 Sept 2026 21:20 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 →

11 Sept 2026
New modelModelbartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUFbartowski
New model: bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF (bartowski)
huggingface
huggingface.co

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF/raw/main/README.md	model_card	T2· Quality secondary	8 min ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF	model_page	T2· Quality secondary	59 min ago	2
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/models?author=bartowski&p=0&sort=downloads	listing	T2· Quality secondary	1 h ago	2

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