Update README.md
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README.md
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@@ -27,7 +27,7 @@ This model has been quantized using [GPTQModel](https://github.com/ModelCloud/GP
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- **meta**：
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- **quantizer**: "gptqmodel:0.9.9-dev0"
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-
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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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@@ -45,4 +45,97 @@ outputs = model.generate(input_ids=input_tensor.to(model.device), max_new_tokens
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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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- **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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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 |↑ |0.4889|± |0.0146|
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| | |none | 0|acc_norm |↑ |0.5265|± |0.0146|
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|arc_easy | 1|none | 0|acc |↑ |0.7908|± |0.0083|
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| | |none | 0|acc_norm |↑ |0.7702|± |0.0086|
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|boolq | 2|none | 0|acc |↑ |0.8404|± |0.0064|
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|hellaswag | 1|none | 0|acc |↑ |0.5748|± |0.0049|
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| | |none | 0|acc_norm |↑ |0.7718|± |0.0042|
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|lambada_openai | 1|none | 0|acc |↑ |0.7110|± |0.0063|
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| | |none | 0|perplexity|↓ |4.0554|± |0.0955|
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|mmlu | 1|none | |acc |↑ |0.6411|± |0.0038|
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| - humanities | 1|none | |acc |↑ |0.5896|± |0.0068|
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| - formal_logic | 0|none | 0|acc |↑ |0.4762|± |0.0447|
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| - high_school_european_history | 0|none | 0|acc |↑ |0.7273|± |0.0348|
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| - high_school_us_history | 0|none | 0|acc |↑ |0.8088|± |0.0276|
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| - high_school_world_history | 0|none | 0|acc |↑ |0.8270|± |0.0246|
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| - international_law | 0|none | 0|acc |↑ |0.7851|± |0.0375|
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| - jurisprudence | 0|none | 0|acc |↑ |0.7593|± |0.0413|
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| - logical_fallacies | 0|none | 0|acc |↑ |0.7607|± |0.0335|
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| - moral_disputes | 0|none | 0|acc |↑ |0.7197|± |0.0242|
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| 74 |
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| - moral_scenarios | 0|none | 0|acc |↑ |0.4045|± |0.0164|
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| - philosophy | 0|none | 0|acc |↑ |0.7074|± |0.0258|
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| - prehistory | 0|none | 0|acc |↑ |0.6975|± |0.0256|
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| - professional_law | 0|none | 0|acc |↑ |0.4817|± |0.0128|
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| - world_religions | 0|none | 0|acc |↑ |0.7953|± |0.0309|
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| - other | 1|none | |acc |↑ |0.7100|± |0.0078|
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| - business_ethics | 0|none | 0|acc |↑ |0.6700|± |0.0473|
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| - clinical_knowledge | 0|none | 0|acc |↑ |0.7660|± |0.0261|
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| - college_medicine | 0|none | 0|acc |↑ |0.6590|± |0.0361|
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| - global_facts | 0|none | 0|acc |↑ |0.3600|± |0.0482|
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| - human_aging | 0|none | 0|acc |↑ |0.6547|± |0.0319|
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| - management | 0|none | 0|acc |↑ |0.8447|± |0.0359|
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| - marketing | 0|none | 0|acc |↑ |0.8803|± |0.0213|
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| - medical_genetics | 0|none | 0|acc |↑ |0.7100|± |0.0456|
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| - miscellaneous | 0|none | 0|acc |↑ |0.8161|± |0.0139|
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| - nutrition | 0|none | 0|acc |↑ |0.7124|± |0.0259|
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| - professional_accounting | 0|none | 0|acc |↑ |0.4787|± |0.0298|
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| - professional_medicine | 0|none | 0|acc |↑ |0.7279|± |0.0270|
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| - virology | 0|none | 0|acc |↑ |0.5181|± |0.0389|
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| - social sciences | 1|none | |acc |↑ |0.7312|± |0.0078|
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| - econometrics | 0|none | 0|acc |↑ |0.4035|± |0.0462|
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| - high_school_geography | 0|none | 0|acc |↑ |0.8232|± |0.0272|
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| - high_school_government_and_politics| 0|none | 0|acc |↑ |0.8653|± |0.0246|
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| - high_school_macroeconomics | 0|none | 0|acc |↑ |0.6128|± |0.0247|
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| - high_school_microeconomics | 0|none | 0|acc |↑ |0.7227|± |0.0291|
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| - high_school_psychology | 0|none | 0|acc |↑ |0.8422|± |0.0156|
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| - human_sexuality | 0|none | 0|acc |↑ |0.7634|± |0.0373|
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| - professional_psychology | 0|none | 0|acc |↑ |0.6585|± |0.0192|
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| - public_relations | 0|none | 0|acc |↑ |0.6182|± |0.0465|
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| - security_studies | 0|none | 0|acc |↑ |0.7306|± |0.0284|
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| - sociology | 0|none | 0|acc |↑ |0.8358|± |0.0262|
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| - us_foreign_policy | 0|none | 0|acc |↑ |0.8600|± |0.0349|
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| - stem | 1|none | |acc |↑ |0.5623|± |0.0085|
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| - abstract_algebra | 0|none | 0|acc |↑ |0.3800|± |0.0488|
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| - anatomy | 0|none | 0|acc |↑ |0.6222|± |0.0419|
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| - astronomy | 0|none | 0|acc |↑ |0.7039|± |0.0372|
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| - college_biology | 0|none | 0|acc |↑ |0.7778|± |0.0348|
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| - college_chemistry | 0|none | 0|acc |↑ |0.5400|± |0.0501|
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| - college_computer_science | 0|none | 0|acc |↑ |0.5300|± |0.0502|
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| - college_mathematics | 0|none | 0|acc |↑ |0.3200|± |0.0469|
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| - college_physics | 0|none | 0|acc |↑ |0.4608|± |0.0496|
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| - computer_security | 0|none | 0|acc |↑ |0.7800|± |0.0416|
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| - conceptual_physics | 0|none | 0|acc |↑ |0.5617|± |0.0324|
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| - electrical_engineering | 0|none | 0|acc |↑ |0.6138|± |0.0406|
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| - elementary_mathematics | 0|none | 0|acc |↑ |0.4365|± |0.0255|
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| - high_school_biology | 0|none | 0|acc |↑ |0.7839|± |0.0234|
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| - high_school_chemistry | 0|none | 0|acc |↑ |0.5665|± |0.0349|
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| - high_school_computer_science | 0|none | 0|acc |↑ |0.6600|± |0.0476|
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| - high_school_mathematics | 0|none | 0|acc |↑ |0.4407|± |0.0303|
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| - high_school_physics | 0|none | 0|acc |↑ |0.4371|± |0.0405|
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| - high_school_statistics | 0|none | 0|acc |↑ |0.5602|± |0.0339|
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| - machine_learning | 0|none | 0|acc |↑ |0.4643|± |0.0473|
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|openbookqa | 1|none | 0|acc |↑ |0.3180|± |0.0208|
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| | |none | 0|acc_norm |↑ |0.4140|± |0.0220|
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|piqa | 1|none | 0|acc |↑ |0.7878|± |0.0095|
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| | |none | 0|acc_norm |↑ |0.7971|± |0.0094|
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|rte | 1|none | 0|acc |↑ |0.6751|± |0.0282|
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|truthfulqa_mc1 | 2|none | 0|acc |↑ |0.3403|± |0.0166|
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|winogrande | 1|none | 0|acc |↑ |0.7206|± |0.0126|
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|------------------|------:|------|------|------|---|-----:|---|-----:|
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|mmlu | 1|none | |acc |↑ |0.6411|± |0.0038|
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| - humanities | 1|none | |acc |↑ |0.5896|± |0.0068|
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| 138 |
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| - other | 1|none | |acc |↑ |0.7100|± |0.0078|
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| 139 |
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| - social sciences| 1|none | |acc |↑ |0.7312|± |0.0078|
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| - stem | 1|none | |acc |↑ |0.5623|± |0.0085|
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```
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