Updated 1 min ago · first seen 11 Sept 2026
model_01M294YP6C89T0J5QHR7N42WTX
- Parameters
- 29.3B
- T2 · 2 min ago
- Released
- 12 Aug 2026
- T2 · 1 h ago
- License
- apache-2.0
- T2 · 1 h ago
Specification
- Release date
- 12 Aug 2026
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 2 h agomedium
- License
- apache-2.0
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Parameters
- 29.3B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 min agomedium
- Base model
- ibm-granite/granite-4.2-30b
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
- ibm-granite/granite-4.2-30b-GGUF
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Downloads
- 269,250
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 min agomedium
- Likes
- 14
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 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
- 2026-09-02T22:10:21+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Library name
- llama.cpp
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads all time
- 269,331
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Tags
- llama.cpp, gguf, language, granite-4.2
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
16
Source tiers
T216
Freshest observation
2 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
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 |
|---|---|---|---|---|
| NVIDIA DGX B200 | 4bit | 1,440 GB | 17.3 GB | Yes |
| Apple M3 Ultra | 4bit | — | 17.3 GB | Yes |
| Mac Studio (Apple M5 Ultra) | 4bit | — | 17.3 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 17.3 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 17.3 GB | Yes |
| Apple M2 Ultra | 4bit | — | 17.3 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 17.3 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 17.3 GB | Yes |
| NVIDIA H200 NVL | 4bit | 141 GB | 17.3 GB | Yes |
| Apple M1 Ultra | 4bit | — | 17.3 GB | Yes |
| Apple M3 Max | 4bit | — | 17.3 GB | Yes |
| Apple M4 Max | 4bit | — | 17.3 GB | Yes |
| Mac Studio (Apple M5 Max) | 4bit | — | 17.3 GB | Yes |
| MacBook Pro (Apple M5 Max) | 4bit | — | 17.3 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 17.3 GB | Yes |
| Apple M2 Max | 4bit | — | 17.3 GB | Yes |
| NVIDIA H100 NVL | 4bit | 94 GB | 17.3 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 17.3 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 17.3 GB | Yes |
| Apple M1 Max | 4bit | — | 17.3 GB | Yes |
| Apple M4 Pro | 4bit | — | 17.3 GB | Yes |
| Mac mini (Apple M5 Pro) | 4bit | — | 17.3 GB | Yes |
| MacBook Pro (Apple M5 Pro) | 4bit | — | 17.3 GB | Yes |
| Apple M3 Pro | 4bit | — | 17.3 GB | Yes |
| Apple M1 Pro | 4bit | — | 17.3 GB | Yes |
| Apple M2 Pro | 4bit | — | 17.3 GB | Yes |
| Apple M4 | 4bit | — | 17.3 GB | Yes |
| iMac (Apple M4) | 4bit | — | 17.3 GB | Yes |
| Mac mini (Apple M6) | 4bit | — | 17.3 GB | Yes |
| MacBook Air (Apple M5) | 4bit | — | 17.3 GB | Yes |
| MacBook Pro (Apple M5) | 4bit | — | 17.3 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 17.3 GB | Yes |
| Apple M2 | 4bit | — | 17.3 GB | Yes |
| Apple M3 | 4bit | — | 17.3 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 17.3 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 17.3 GB | Yes |
| Apple M1 | 4bit | — | 17.3 GB | No |
Ancestors 1
This model
ibm-granite/granite-4.2-30b-GGUF
29.3B 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 · Tags
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 →
ibm-granite/granite-4.2-30b-GGUF: parameter count changed from 30000000000 to 29276770304
Parameters30B→29.3Bhuggingfaceibm-granite/granite-4.2-30b-GGUF: parameter count changed from 29276770304 to 30000000000
Parameters29.3B→30BhuggingfaceNew model: ibm-granite/granite-4.2-30b-GGUF (IBM)
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=ibm-granite&p=0&sort=downloads | listing | T2· Quality secondary | 1 min ago | 3 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/ibm-granite/granite-4.2-30b-GGUF/raw/main/README.md | model_card | T2· Quality secondary | 32 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/ibm-granite/granite-4.2-30b-GGUF | model_page | 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.