Model Card on HF 🤗: https://huggingface.co/godlikehhd/alpaca_data_ins_ans_max_5200
Alpaca Data Ins Ans Max 5200 Benchmarks
MMLU Pro: 21.12
GPQA: 5.48
MUSR: 7.62
BBH: 16.27
IFEval: 34.79 vs 88 (so35)-60.5%
MATH Lvl 5: 9.74
LLME Score: 0.303
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)
Alpaca Data Ins Ans Max 5200 Parameters and Internals
| LLM Name | Alpaca Data Ins Ans Max 5200 |
| Repository 🤗 | https://huggingface.co/godlikehhd/alpaca_data_ins_ans_max_5200 |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-01-15 |
| Maintainer | godlikehhd |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Alpaca Data Ins Ans Max 5200
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReaderLM V2 | 500K / 3.5 GB | 397 | 173 |
| Reader Lm 1.5B | 250K / 3.1 GB | 21666 | 565 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 75805 | 54 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 606522 | 204 |
| Qwen2 1.5B | 128K / 3.1 GB | 27324 | 83 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 140479 | 154 |
| NxMobileLM 1.5B SFT | 128K / 3.1 GB | 14 | 0 |
| Alpaca Data Ifd Min 2600 | 128K / 3.1 GB | 12 | 0 |
| Saba1 1.8B | 128K / 3.6 GB | 262 | 0 |
| Alpaca Data Score Max 0.7 2600 | 128K / 3.1 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than godlikehhd/alpaca_data_ins_ans_max_5200 .
Rank the Alpaca Data Ins Ans Max 5200 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227