Updated 1 min ago · first seen 11 Sept 2026
model_01M294ZKGH7A5QSC5MAS1PEHTT
- Parameters
- 8.03B
- T2 · 41 min ago
- Released
- 18 Apr 2024
- T2 · 1 min ago
- License
- other
- T2 · 1 min ago
Specification
- Release date
- 18 Apr 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 41 min agomedium
- License
- other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Architecture
- LlamaForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Parameters
- 8.03B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 41 min agomedium
- Languages
- en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- File size
- 16.1 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Hugging Face repo
- NousResearch/Meta-Llama-3-8B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 41 min agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 41 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 41 min agomedium
- Downloads
- 56,694
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Likes
- 101
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Last modified
- 2024-04-30T04:45:04+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 41 min agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- License url
- LICENSE
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Downloads all time
- 1,458,327
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Model type
- llama
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Tags
- transformers, safetensors, llama, text-generation, facebook, meta, pytorch, llama-3, en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Weights dtype
- BF16
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min 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
1 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.
- Languages
- en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
No benchmark results recorded
Current prices
No current prices recorded
Price history
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.
| 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 |
No lineage 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
Release daterelease_date1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 18 Apr 2024 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Licenselicense1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| other | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Architecturearchitecture1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| LlamaForCausalLM | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Parametersparameter_count1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 8.03B | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Languageslanguages1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| en | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
File sizefile_size_gb1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 16.1 GB | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| NousResearch/Meta-Llama-3-8B | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Pipeline tagpipeline_tag1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text-generation | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model cardmodel_card_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://huggingface.co/NousResearch/Meta-Llama-3-8B | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloadsmetric.downloads1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 56,694 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Likesmetric.likes1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 101 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Gatedgated1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| No | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2024-04-30T04:45:04+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Library namelibrary_name1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| transformers | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
License urllicense_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| LICENSE | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloads all timemetric.downloads_all_time1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 1,458,327 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model typemodel_type1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| llama | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Weights dtypeweights_dtype1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| BF16 | → 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 →
New model: NousResearch/Meta-Llama-3-8B (Nous Research)
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/NousResearch/Meta-Llama-3-8B | model_page | T2· Quality secondary | 1 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=NousResearch&p=0&sort=downloads | listing | T2· Quality secondary | 38 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.