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Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama
Differential Attention Liquid Metal Tinyllama Benchmarks
MMLU Pro: 2.38
GPQA: 0.11
MUSR: 0.94
BBH: 2.55
IFEval: 22.27 vs 88 (so35)-74.7%
MATH Lvl 5: 3.25
LLME Score: 0.20436
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)
Differential Attention Liquid Metal Tinyllama Parameters and Internals
| LLM Name | Differential Attention Liquid Metal Tinyllama |
| Repository 🤗 | https://huggingface.co/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama |
| Model Size | 1.1b |
| Required VRAM | 4.4 GB |
| Updated | 2025-09-08 |
| Maintainer | Josephgflowers |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.46.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Differential Attention Liquid Metal Tinyllama
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| TinyKiller NSFW DPO 1.1B | 32K / 2.2 GB | 11 | 0 |
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| ...llama 1.1B 16K Instructions V4 | 32K / 2.2 GB | 8 | 0 |
| TinyJ.O.S.I.E. 1.1B 32K Base | 32K / 2.2 GB | 30 | 1 |
| Palmer 002 32K | 32K / 2.2 GB | 8 | 0 |
| TinyJ.O.S.I.E. 1.1B 32K Base | 32K / 2.2 GB | 5 | 1 |
| TinyLlama 1.1B 32K | 32K / 2.2 GB | 69 | 30 |
Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama .
Rank the Differential Attention Liquid Metal Tinyllama Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124