Autotrain compatible Axolotl Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Einstein-v8-Llama3.2-1B
Einstein V8 Llama3.2 1B Benchmarks
MMLU Pro: 1.79
GPQA: 1.12
MUSR: 3.22
BBH: 3.01
IFEval: 18.62 vs 88 (so35)-78.8%
MATH Lvl 5: 0.08
LLME Score: 0.23706
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)
Einstein V8 Llama3.2 1B Parameters and Internals
| LLM Name | Einstein V8 Llama3.2 1B |
| Repository 🤗 | https://huggingface.co/Weyaxi/Einstein-v8-Llama3.2-1B |
| Base Model(s) | |
| Model Size | 1b |
| Required VRAM | 2.5 GB |
| Updated | 2025-02-22 |
| Maintainer | Weyaxi |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | llama3.2 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.45.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128260 |
| Torch Data Type | bfloat16 |
Best Alternatives to Einstein V8 Llama3.2 1B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LWM Text Chat 1M | 1024K / 13.5 GB | 2084 | 175 |
| LWM Text 1M | 1024K / 13.5 GB | 491 | 28 |
| JOSIE 1M Base | 1024K / 13.5 GB | 12 | 1 |
| JOSIE 1M Base | 1024K / 13.5 GB | 6 | 1 |
| Llama 3.2 1B | 128K / 2.5 GB | 10850287 | 1584 |
| Llama 3.2 1B Instruct | 128K / 2.5 GB | 1716586 | 773 |
| Llama 3.2 1B Instruct | 128K / 2.5 GB | 112714 | 63 |
| MiniThinky V2 1B Llama 3.2 | 128K / 4.9 GB | 7294 | 38 |
| Lancer 1 1B Instruct | 128K / 2.5 GB | 110 | 2 |
| Llama Express.1 Math | 128K / 2.5 GB | 405 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v8-Llama3.2-1B .
Rank the Einstein V8 Llama3.2 1B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227