Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:pankajmathur/orca mini... Dataset:pankajmathur/orca mini... En Endpoints compatible Instruct Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v9_7_1B-Instruct
Orca Mini V9 7 1B Instruct Benchmarks
MMLU Pro: 3.83
GPQA: 3.02
MUSR: 2.45
BBH: 5.05
IFEval: 56.1 vs 88 (so35)-36.3%
MATH Lvl 5: 1.36
LLME Score: 0.32227
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)
Orca Mini V9 7 1B Instruct Parameters and Internals
| LLM Name | Orca Mini V9 7 1B Instruct |
| Repository 🤗 | https://huggingface.co/pankajmathur/orca_mini_v9_7_1B-Instruct |
| Base Model(s) | |
| Model Size | 1b |
| Required VRAM | 2.5 GB |
| Updated | 2025-01-21 |
| Maintainer | pankajmathur |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | llama3.2 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Orca Mini V9 7 1B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3.2 1B Instruct | 128K / 2.5 GB | 1049683 | 710 |
| MiniThinky V2 1B Llama 3.2 | 128K / 4.9 GB | 7023 | 31 |
| Orca Mini V9 6 1B Instruct | 128K / 2.5 GB | 293 | 3 |
| Llama 3.2 1B Instruct | 128K / 2.5 GB | 76511 | 56 |
| Llama 3.2 SUN HDIC 1B Instruct | 128K / 3 GB | 307 | 0 |
| MiniThinky 1B Llama 3.2 | 128K / 4.9 GB | 240 | 4 |
| L3.2 Instruct Thinking V0.1 1B | 128K / 3 GB | 76 | 0 |
| ...3.2 1B Instruct CrashCourse12K | 128K / 2.5 GB | 17 | 0 |
| Llama3.2 Typhoon2 1B Instruct | 128K / 2.5 GB | 728 | 3 |
| Llama 3.2 1B Instruct MLXTuned | 128K / 2.5 GB | 193 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v9_7_1B-Instruct .
Rank the Orca Mini V9 7 1B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227