Autotrain compatible Endpoints compatible Gptq Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/elliotthwang/Elliott-Chinese-LLaMa-GPTQ-V1.0
Elliott Chinese LLaMa GPTQ V1.0 Benchmarks
ARC: 50.68 vs 96.7 (so35)-47.6%
HellaSwag: 75.36 vs 95.3 (gpt4)-20.9%
MMLU: 49.33 vs 88.3 (so35)-44.1%
TruthfulQA: 44.7 vs 59 (gpt4)-24.2%
WinoGrande: 72.38 vs 87.5 (gpt4)-17.3%
GSM8K: 17.36 vs 96.4 (so35)-82%
LLME Score: 0.1502
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)
Elliott Chinese LLaMa GPTQ V1.0 Parameters and Internals
| LLM Name | Elliott Chinese LLaMa GPTQ V1.0 |
| Repository 🤗 | https://huggingface.co/elliotthwang/Elliott-Chinese-LLaMa-GPTQ-V1.0 |
| Model Size | 6.7b |
| Required VRAM | 13.5 GB |
| Updated | 2025-09-27 |
| Maintainer | elliotthwang |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Elliott Chinese LLaMa GPTQ V1.0
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| ...pseek Coder 6.7B Instruct GPTQ | 16K / 3.9 GB | 365 | 25 |
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| Gorilla Openfunctions V1 GPTQ | 4K / 3.9 GB | 15 | 5 |
| Elliott Chinese LLaMa GPTQ | 2K / 13.5 GB | 1692 | 0 |
| AmberChat GPTQ | 2K / 3.9 GB | 30 | 1 |
| Elliott LLaMa GPTQ | 2K / 13.5 GB | 8 | 0 |
| ...LI LlumiX 32K Instruct F16 0.2 | 32K / 13.5 GB | 2 | 1 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124