Model Card on HF 🤗: https://huggingface.co/hfl/chinese-llama-2-7b-gguf
Chinese Llama 2 7B Gguf Benchmarks
ARC: 44.45 vs 96.7 (so35)-54%
HellaSwag: 69.54 vs 95.3 (gpt4)-27%
MMLU: 37.42 vs 88.3 (so35)-57.6%
TruthfulQA: 37.01 vs 59 (gpt4)-37.3%
WinoGrande: 69.06 vs 87.5 (gpt4)-21.1%
GSM8K: 3.79 vs 96.4 (so35)-96.1%
LLME Score: 0.1988
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)
Chinese Llama 2 7B Gguf Parameters and Internals
| Additional Notes |
| |
| Supported Languages |
|
| LLM Name | Chinese Llama 2 7B Gguf |
| Repository 🤗 | https://huggingface.co/hfl/chinese-llama-2-7b-gguf |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.6 GB |
| Updated | 2024-12-22 |
| Maintainer | hfl |
| Model Type | llama |
| Model Files | |
| Supported Languages | zh en |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q2|q4_k|q5_k |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.31.0 |
| Vocabulary Size | 55296 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than hfl/chinese-llama-2-7b-gguf .
Rank the Chinese Llama 2 7B Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217