Specification

Release date: 23 Jul 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: llama3.1
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Parameters: 8B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Languages: en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Base model: meta-llama/Llama-3.1-8B-Instruct, meta-llama/Meta-Llama-3.1-8B-Instruct
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Quantization: F32, IQ2_M, IQ3_M, IQ3_XS, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, Q3_K_XL, Q4_0_4_4, Q4_0_4_8, Q4_0_8_8, 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
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/Meta-Llama-3.1-8B-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/Meta-Llama-3.1-8B-Instruct-GGUF
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads: 295,492
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Likes: 402
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h 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: 2024-12-01T04:12:27+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads all time: 14,184,537
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Quantized by: bartowski
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Tags: gguf, facebook, meta, pytorch, llama, llama-3, text-generation, en, de, fr, it, pt, hi, es, th
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

19

Source tiers

T219

Freshest observation

1 h 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.

Languages: en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium

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	—	5.1 GB	Yes
AMD Instinct MI325X	4bit	256 GB	5.1 GB	Yes
AMD Instinct MI300X	4bit	192 GB	5.1 GB	Yes
Apple M2 Ultra	4bit	—	5.1 GB	Yes
NVIDIA B200	4bit	180 GB	5.1 GB	Yes
NVIDIA H200	4bit	141 GB	5.1 GB	Yes
Apple M1 Ultra	4bit	—	5.1 GB	Yes
Apple M3 Max	4bit	—	5.1 GB	Yes
Apple M4 Max	4bit	—	5.1 GB	Yes
NVIDIA DGX Spark	4bit	128 GB	5.1 GB	Yes
Apple M2 Max	4bit	—	5.1 GB	Yes
NVIDIA A100 80GB	4bit	80 GB	5.1 GB	Yes
NVIDIA H100 SXM	4bit	80 GB	5.1 GB	Yes
Apple M1 Max	4bit	—	5.1 GB	Yes
Apple M4 Pro	4bit	—	5.1 GB	Yes
Apple M3 Pro	4bit	—	5.1 GB	Yes
Apple M1 Pro	4bit	—	5.1 GB	Yes
Apple M2 Pro	4bit	—	5.1 GB	Yes
Apple M4	4bit	—	5.1 GB	Yes
NVIDIA GeForce RTX 5090	4bit	32 GB	5.1 GB	Yes
Apple M2	4bit	—	5.1 GB	Yes
Apple M3	4bit	—	5.1 GB	Yes
NVIDIA GeForce RTX 3090	4bit	24 GB	5.1 GB	Yes
NVIDIA GeForce RTX 4090	4bit	24 GB	5.1 GB	Yes
Apple M1	4bit	—	5.1 GB	Yes

Ancestors 4

This model

bartowski/Meta-Llama-3.1-8B-Instruct-GGUF

8B 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 · Quantization format

1 claims · 1 propertiesShow all properties

Quantization formatquant_format1

Claim history for Quantization format
Value	Valid from → to	Status	Source	Confidence	Extractor
gguf	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
Parameters changedModelbartowski/Meta-Llama-3.1-8B-Instruct-GGUFbartowski
bartowski/Meta-Llama-3.1-8B-Instruct-GGUF: parameter count changed from 8030261312 to 8000000000
Parameters8.03B→8Bhuggingface
huggingface.co
11 Sept 2026
New modelModelbartowski/Meta-Llama-3.1-8B-Instruct-GGUFbartowski
New model: bartowski/Meta-Llama-3.1-8B-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/Meta-Llama-3.1-8B-Instruct-GGUF	model_page	T2· Quality secondary	1 h 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.