Colossal LLaMA 2 7B Base Benchmarks
ARC: 53.5 vs 96.7 (so35)-44.7%
HellaSwag: 70.5 vs 95.3 (gpt4)-26%
MMLU: 54.4 vs 88.3 (so35)-38.4%
TruthfulQA: 50.19 vs 59 (gpt4)-14.9%
WinoGrande: 70.01 vs 87.5 (gpt4)-20%
GSM8K: 9.7 vs 96.4 (so35)-89.9%
LLME Score: 0.205
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)
Colossal LLaMA 2 7B Base Parameters and Internals
| LLM Name | Colossal LLaMA 2 7B Base |
| Repository 🤗 | https://huggingface.co/hpcai-tech/Colossal-LLaMA-2-7b-base |
| Model Size | 7b |
| Required VRAM | 0.8 GB |
| Updated | 2024-09-20 |
| Maintainer | hpcai-tech |
| Model Type | llama |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 69104 |
| Torch Data Type | float16 |
Best Alternatives to Colossal LLaMA 2 7B Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 66 | 1 |
| Yarn Llama 2 7B 128K | 128K / 13.5 GB | 1225 | 38 |
| LLaMA 7B PoSE YaRN 128K | 128K / 13.5 GB | 9 | 3 |
| LLaMA 7B PoSE Linear 96K | 96K / 27 GB | 8 | 2 |
| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 8 | 1 |
| Chat Llama2 7B 80K | 80K / 13.8 GB | 7 | 0 |
| Llama2 7B 80K | 80K / 13.8 GB | 6 | 0 |
| Lloma Step400 | 64K / 13.5 GB | 62 | 0 |
| Lloma Step200 | 64K / 13.5 GB | 67 | 0 |
| Lloma Step50 | 64K / 13.5 GB | 61 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than hpcai-tech/Colossal-LLaMA-2-7b-base .
Rank the Colossal LLaMA 2 7B Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803