Arxiv:0000.00000 Autotrain compatible Granite-3.0 Granitemoe Language Model-index Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-3.0-1b-a400m-base
Granite 3.0 1B A400m Base Benchmarks
MMLU Pro: 1.69
MUSR: 1.76
BBH: 6.06
IFEval: 24.04 vs 88 (so35)-72.7%
MATH Lvl 5: 2.64
LLME Score: 0.22802
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Granite 3.0 1B A400m Base Parameters and Internals
| LLM Name | Granite 3.0 1B A400m Base |
| Repository 🤗 | https://huggingface.co/ibm-granite/granite-3.0-1b-a400m-base |
| Model Size | 1b |
| Required VRAM | 5.5 GB |
| Updated | 2025-09-23 |
| Maintainer | ibm-granite |
| Model Type | granitemoe |
| Model Files | |
| Model Architecture | GraniteMoeForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.45.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 49152 |
Best Alternatives to Granite 3.0 1B A400m Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Granite 3.1 1B A400m Instruct | 128K / 2.7 GB | 6345 | 19 |
| Granite 3.1 1B A400m Base | 128K / 2.7 GB | 2810 | 9 |
| Granite 3.0 1B A400m Instruct | 4K / 2.7 GB | 974 | 20 |
Note: green Score (e.g. "73.2") means that the model is better than ibm-granite/granite-3.0-1b-a400m-base .
Rank the Granite 3.0 1B A400m Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124