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| Name | Quant method | Size |
|---|---|---|
| TableLLM-7b.Q2_K.gguf | Q2_K | 2.36GB |
| TableLLM-7b.IQ3_XS.gguf | IQ3_XS | 2.6GB |
| TableLLM-7b.IQ3_S.gguf | IQ3_S | 0.38GB |
| TableLLM-7b.Q3_K_S.gguf | Q3_K_S | 2.75GB |
| TableLLM-7b.IQ3_M.gguf | IQ3_M | 2.9GB |
| TableLLM-7b.Q3_K.gguf | Q3_K | 3.07GB |
| TableLLM-7b.Q3_K_M.gguf | Q3_K_M | 3.07GB |
| TableLLM-7b.Q3_K_L.gguf | Q3_K_L | 3.35GB |
| TableLLM-7b.IQ4_XS.gguf | IQ4_XS | 3.4GB |
| TableLLM-7b.Q4_0.gguf | Q4_0 | 3.56GB |
| TableLLM-7b.IQ4_NL.gguf | IQ4_NL | 3.58GB |
| TableLLM-7b.Q4_K_S.gguf | Q4_K_S | 3.59GB |
| TableLLM-7b.Q4_K.gguf | Q4_K | 3.8GB |
| TableLLM-7b.Q4_K_M.gguf | Q4_K_M | 3.8GB |
| TableLLM-7b.Q4_1.gguf | Q4_1 | 3.95GB |
| TableLLM-7b.Q5_0.gguf | Q5_0 | 4.33GB |
| TableLLM-7b.Q5_K_S.gguf | Q5_K_S | 4.33GB |
| TableLLM-7b.Q5_K.gguf | Q5_K | 4.45GB |
| TableLLM-7b.Q5_K_M.gguf | Q5_K_M | 4.45GB |
| TableLLM-7b.Q5_1.gguf | Q5_1 | 4.72GB |
| TableLLM-7b.Q6_K.gguf | Q6_K | 5.15GB |
| TableLLM-7b.Q8_0.gguf | Q8_0 | 6.67GB |
| Model | WikiTQ | TAT-QA | FeTaQA | OTTQA | WikiSQL | Spider | Self-created | Average |
|---|---|---|---|---|---|---|---|---|
| TaPEX | 38.5 | – | – | – | 83.9 | 15.0 | / | 45.8 |
| TaPas | 31.5 | – | – | – | 74.2 | 23.1 | / | 42.92 |
| TableLlama | 24.0 | 22.2 | 20.5 | 6.4 | 43.7 | 9.0 | / | 20.7 |
| GPT3.5 | 58.5 | 72.1 | 71.2 | 60.8 | 81.7 | 67.4 | 77.1 | 69.8 |
| GPT4 | 74.1 | 77.1 | 78.4 | 69.5 | 84.0 | 69.5 | 77.8 | 75.8 |
| Llama2-Chat (13B) | 48.8 | 49.6 | 67.7 | 61.5 | – | – | – | 56.9 |
| CodeLlama (13B) | 43.4 | 47.2 | 57.2 | 49.7 | 38.3 | 21.9 | 47.6 | 43.6 |
| Deepseek-Coder (33B) | 6.5 | 11.0 | 7.1 | 7.4 | 72.5 | 58.4 | 73.9 | 33.8 |
| StructGPT (GPT3.5) | 52.5 | 27.5 | 11.8 | 14.0 | 67.8 | 84.8 | / | 48.9 |
| Binder (GPT3.5) | 61.6 | 12.8 | 6.8 | 5.1 | 78.6 | 52.6 | / | 42.5 |
| DATER (GPT3.5) | 53.4 | 28.4 | 18.3 | 13.0 | 58.2 | 26.5 | / | 37.0 |
| TableLLM-7B (Ours) | 58.8 | 66.9 | 72.6 | 63.1 | 86.6 | 82.6 | 78.8 | 72.8 |
| TableLLM-13B (Ours) | 62.4 | 68.2 | 74.5 | 62.5 | 90.7 | 83.4 | 80.8 | 74.7 |
[INST]Below are the first few lines of a CSV file. You need to write a Python program to solve the provided question.
Header and first few lines of CSV file:
{csv_data}
Question: {question}[/INST][INST]Below are the first few lines two CSV file. You need to write a Python program to solve the provided question.
Header and first few lines of CSV file 1:
{csv_data1}
Header and first few lines of CSV file 2:
{csv_data2}
Question: {question}[/INST]Sex,Length,Diameter,Height,Whole weight,Shucked weight,Viscera weight,Shell weight,Rings
M,0.455,0.365,0.095,0.514,0.2245,0.101,0.15,15
M,0.35,0.265,0.09,0.2255,0.0995,0.0485,0.07,7
F,0.53,0.42,0.135,0.677,0.2565,0.1415,0.21,9
M,0.44,0.365,0.125,0.516,0.2155,0.114,0.155,10
I,0.33,0.255,0.08,0.205,0.0895,0.0395,0.055,7[INST]Offer a thorough and accurate solution that directly addresses the Question outlined in the [Question].
### [Table Text]
{table_descriptions}
### [Table]
```
{table_in_csv}
```
### [Question]
{question}
### [Solution][INST/]