Model Card on HF 🤗: https://huggingface.co/PygmalionAI/metharme-1.3b
Metharme 1.3B Benchmarks
ARC: 34.39 vs 96.7 (so35)-64.4%
HellaSwag: 55.94 vs 95.3 (gpt4)-41.3%
MMLU: 25.07 vs 88.3 (so35)-71.6%
TruthfulQA: 37.68 vs 59 (gpt4)-36.1%
WinoGrande: 56.43 vs 87.5 (gpt4)-35.5%
GSM8K: 0.76 vs 96.4 (so35)-99.2%
LLME Score: 0.16947
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)
Metharme 1.3B Parameters and Internals
| LLM Name | Metharme 1.3B |
| Repository 🤗 | https://huggingface.co/PygmalionAI/metharme-1.3b |
| Model Size | 1.3b |
| Required VRAM | 2.9 GB |
| Updated | 2025-02-22 |
| Maintainer | PygmalionAI |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.30.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | bfloat16 |
Best Alternatives to Metharme 1.3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Ko Empathy Message Friend 1.3B | 2K / 5.4 GB | 69 | 0 |
| Pgl Mtm1b 3 | 2K / 1 GB | 76 | 0 |
| Pgl Mtm1b | 2K / 1.1 GB | 76 | 0 |
| ...olyglot Ko 1.3B Pretrained Asd | 2K / 5.4 GB | 25 | 0 |
| SGPT 1.3B Insurance Epoch10 | 2K / 5.4 GB | 1871 | 1 |
| KIT 1.3B | 2K / 5.4 GB | 106 | 2 |
| ...glot Ko 1.3B Ao Instruct V0.91 | 2K / 5.4 GB | 159 | 0 |
| Pygmalion Free | 2K / 2.9 GB | 67 | 0 |
| My Consulting Ai Model | 2K / 5.4 GB | 71 | 0 |
| Koquality Polyglot 1.3B | 2K / 5.3 GB | 2034 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than PygmalionAI/metharme-1.3b .
Rank the Metharme 1.3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227