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--- |
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tags: |
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- gptq |
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- 4bit |
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- int4 |
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- gptqmodel |
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- modelcloud |
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- llama-3.1 |
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- 405b |
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- instruct |
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license: llama3.1 |
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--- |
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This model has been quantized using [GPTQModel](https://github.com/ModelCloud/GPTQModel). |
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- **bits**: 4 |
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- **group_size**: 128 |
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- **desc_act**: true |
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- **static_groups**: false |
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- **sym**: true |
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- **lm_head**: false |
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- **damp_percent**: 0.01 |
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- **true_sequential**: true |
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- **model_name_or_path**: "" |
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- **model_file_base_name**: "model" |
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- **quant_method**: "gptq" |
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- **checkpoint_format**: "gptq" |
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- **meta**： |
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- **quantizer**: "gptqmodel:0.9.9-dev0" |
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## Example: |
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```python |
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from transformers import AutoTokenizer |
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from gptqmodel import GPTQModel |
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model_name = "ModelCloud/Meta-Llama-3.1-405B-Instruct-gptq-4bit" |
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prompt = [{"role": "user", "content": "I am in Shanghai, preparing to visit the natural history museum. Can you tell me the best way to"}] |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = GPTQModel.from_quantized(model_name) |
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input_tensor = tokenizer.apply_chat_template(prompt, add_generation_prompt=True, return_tensors="pt") |
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outputs = model.generate(input_ids=input_tensor.to(model.device), max_new_tokens=100) |
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result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True) |
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print(result) |
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``` |
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## lm-eval benchmark |
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``` |
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |
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|---------------------------------------|------:|------|-----:|----------|---|-----:|---|-----:| |
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|arc_challenge | 1|none | 0|acc |↑ |0.5990|± |0.0143| |
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| | |none | 0|acc_norm |↑ |0.6425|± |0.0140| |
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|arc_easy | 1|none | 0|acc |↑ |0.8645|± |0.0070| |
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| | |none | 0|acc_norm |↑ |0.8359|± |0.0076| |
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|boolq | 2|none | 0|acc |↑ |0.8820|± |0.0056| |
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|hellaswag | 1|none | 0|acc |↑ |0.6560|± |0.0047| |
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| | |none | 0|acc_norm |↑ |0.8446|± |0.0036| |
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|lambada_openai | 1|none | 0|acc |↑ |0.7252|± |0.0062| |
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| | |none | 0|perplexity|↓ |3.5576|± |0.0880| |
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|mmlu | 1|none | |acc |↑ |0.8245|± |0.0031| |
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| - humanities | 1|none | |acc |↑ |0.7892|± |0.0058| |
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| - formal_logic | 0|none | 0|acc |↑ |0.6349|± |0.0431| |
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| - high_school_european_history | 0|none | 0|acc |↑ |0.8667|± |0.0265| |
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| - high_school_us_history | 0|none | 0|acc |↑ |0.9314|± |0.0177| |
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| - high_school_world_history | 0|none | 0|acc |↑ |0.9367|± |0.0158| |
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| - international_law | 0|none | 0|acc |↑ |0.9091|± |0.0262| |
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| - jurisprudence | 0|none | 0|acc |↑ |0.8796|± |0.0315| |
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| - logical_fallacies | 0|none | 0|acc |↑ |0.8834|± |0.0252| |
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| - moral_disputes | 0|none | 0|acc |↑ |0.8295|± |0.0202| |
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| - moral_scenarios | 0|none | 0|acc |↑ |0.7888|± |0.0137| |
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| - philosophy | 0|none | 0|acc |↑ |0.8521|± |0.0202| |
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| - prehistory | 0|none | 0|acc |↑ |0.8735|± |0.0185| |
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| - professional_law | 0|none | 0|acc |↑ |0.6760|± |0.0120| |
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| - world_religions | 0|none | 0|acc |↑ |0.8830|± |0.0246| |
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| - other | 1|none | |acc |↑ |0.8539|± |0.0060| |
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| - business_ethics | 0|none | 0|acc |↑ |0.8100|± |0.0394| |
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| - clinical_knowledge | 0|none | 0|acc |↑ |0.8679|± |0.0208| |
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| - college_medicine | 0|none | 0|acc |↑ |0.7688|± |0.0321| |
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| - global_facts | 0|none | 0|acc |↑ |0.7000|± |0.0461| |
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| - human_aging | 0|none | 0|acc |↑ |0.8341|± |0.0250| |
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| - management | 0|none | 0|acc |↑ |0.8932|± |0.0306| |
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| - marketing | 0|none | 0|acc |↑ |0.9444|± |0.0150| |
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| - medical_genetics | 0|none | 0|acc |↑ |0.9300|± |0.0256| |
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| - miscellaneous | 0|none | 0|acc |↑ |0.9425|± |0.0083| |
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| - nutrition | 0|none | 0|acc |↑ |0.8987|± |0.0173| |
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| - professional_accounting | 0|none | 0|acc |↑ |0.6773|± |0.0279| |
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| - professional_medicine | 0|none | 0|acc |↑ |0.9228|± |0.0162| |
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| - virology | 0|none | 0|acc |↑ |0.5542|± |0.0387| |
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| - social sciences | 1|none | |acc |↑ |0.8833|± |0.0057| |
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| - econometrics | 0|none | 0|acc |↑ |0.7193|± |0.0423| |
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| - high_school_geography | 0|none | 0|acc |↑ |0.9394|± |0.0170| |
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| - high_school_government_and_politics| 0|none | 0|acc |↑ |0.9741|± |0.0115| |
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| - high_school_macroeconomics | 0|none | 0|acc |↑ |0.8615|± |0.0175| |
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| - high_school_microeconomics | 0|none | 0|acc |↑ |0.9412|± |0.0153| |
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| - high_school_psychology | 0|none | 0|acc |↑ |0.9321|± |0.0108| |
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| - human_sexuality | 0|none | 0|acc |↑ |0.8550|± |0.0309| |
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| - professional_psychology | 0|none | 0|acc |↑ |0.8497|± |0.0145| |
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| - public_relations | 0|none | 0|acc |↑ |0.7636|± |0.0407| |
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| - security_studies | 0|none | 0|acc |↑ |0.8163|± |0.0248| |
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| - sociology | 0|none | 0|acc |↑ |0.9204|± |0.0191| |
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| - us_foreign_policy | 0|none | 0|acc |↑ |0.9300|± |0.0256| |
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| - stem | 1|none | |acc |↑ |0.7907|± |0.0070| |
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| - abstract_algebra | 0|none | 0|acc |↑ |0.5800|± |0.0496| |
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| - anatomy | 0|none | 0|acc |↑ |0.8296|± |0.0325| |
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| - astronomy | 0|none | 0|acc |↑ |0.9145|± |0.0228| |
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| - college_biology | 0|none | 0|acc |↑ |0.9236|± |0.0222| |
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| - college_chemistry | 0|none | 0|acc |↑ |0.5800|± |0.0496| |
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| - college_computer_science | 0|none | 0|acc |↑ |0.7300|± |0.0446| |
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| - college_mathematics | 0|none | 0|acc |↑ |0.5800|± |0.0496| |
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| - college_physics | 0|none | 0|acc |↑ |0.7157|± |0.0449| |
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| - computer_security | 0|none | 0|acc |↑ |0.8000|± |0.0402| |
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| - conceptual_physics | 0|none | 0|acc |↑ |0.8383|± |0.0241| |
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| - electrical_engineering | 0|none | 0|acc |↑ |0.7931|± |0.0338| |
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| - elementary_mathematics | 0|none | 0|acc |↑ |0.8730|± |0.0171| |
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| - high_school_biology | 0|none | 0|acc |↑ |0.9161|± |0.0158| |
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| - high_school_chemistry | 0|none | 0|acc |↑ |0.7685|± |0.0297| |
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| - high_school_computer_science | 0|none | 0|acc |↑ |0.9600|± |0.0197| |
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| - high_school_mathematics | 0|none | 0|acc |↑ |0.6556|± |0.0290| |
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| - high_school_physics | 0|none | 0|acc |↑ |0.7086|± |0.0371| |
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| - high_school_statistics | 0|none | 0|acc |↑ |0.7778|± |0.0284| |
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| - machine_learning | 0|none | 0|acc |↑ |0.7054|± |0.0433| |
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|openbookqa | 1|none | 0|acc |↑ |0.3300|± |0.0210| |
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| | |none | 0|acc_norm |↑ |0.4420|± |0.0222| |
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|piqa | 1|none | 0|acc |↑ |0.8188|± |0.0090| |
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| | |none | 0|acc_norm |↑ |0.8308|± |0.0087| |
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|rte | 1|none | 0|acc |↑ |0.7220|± |0.0270| |
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|truthfulqa_mc1 | 2|none | 0|acc |↑ |0.4333|± |0.0173| |
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|winogrande | 1|none | 0|acc |↑ |0.7656|± |0.0119| |
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |
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|------------------|------:|------|------|------|---|-----:|---|-----:| |
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|mmlu | 1|none | |acc |↑ |0.8245|± |0.0031| |
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| - humanities | 1|none | |acc |↑ |0.7892|± |0.0058| |
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| - other | 1|none | |acc |↑ |0.8539|± |0.0060| |
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| - social sciences| 1|none | |acc |↑ |0.8833|± |0.0057| |
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| - stem | 1|none | |acc |↑ |0.7907|± |0.0070| |
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``` |
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