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Llamacpp quants

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.gitattributes CHANGED
@@ -33,3 +33,19 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ TableLLM-13b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: llama2
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+ datasets:
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+ - RUCKBReasoning/TableLLM-SFT
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+ language:
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+ - en
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+ tags:
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+ - Table
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+ - QA
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+ - Code
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+ quantized_by: bartowski
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+ pipeline_tag: text-generation
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+ ---
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+
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+ ## Llamacpp Quantizations of TableLLM-13b
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+
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+ Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
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+
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+ Original model: https://huggingface.co/RUCKBReasoning/TableLLM-13b
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+
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+ Download a file (not the whole branch) from below:
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+
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+ | Filename | Quant type | File Size | Description |
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+ | -------- | ---------- | --------- | ----------- |
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+ | [TableLLM-13b-Q8_0.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q8_0.gguf) | Q8_0 | 13.83GB | Extremely high quality, generally unneeded but max available quant. |
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+ | [TableLLM-13b-Q6_K.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q6_K.gguf) | Q6_K | 10.67GB | Very high quality, near perfect, *recommended*. |
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+ | [TableLLM-13b-Q5_K_M.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q5_K_M.gguf) | Q5_K_M | 9.23GB | High quality, very usable. |
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+ | [TableLLM-13b-Q5_K_S.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q5_K_S.gguf) | Q5_K_S | 8.97GB | High quality, very usable. |
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+ | [TableLLM-13b-Q5_0.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q5_0.gguf) | Q5_0 | 8.97GB | High quality, older format, generally not recommended. |
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+ | [TableLLM-13b-Q4_K_M.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q4_K_M.gguf) | Q4_K_M | 7.86GB | Good quality, uses about 4.83 bits per weight. |
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+ | [TableLLM-13b-Q4_K_S.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q4_K_S.gguf) | Q4_K_S | 7.42GB | Slightly lower quality with small space savings. |
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+ | [TableLLM-13b-IQ4_NL.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-IQ4_NL.gguf) | IQ4_NL | 7.41GB | Decent quality, similar to Q4_K_S, new method of quanting, |
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+ | [TableLLM-13b-IQ4_XS.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-IQ4_XS.gguf) | IQ4_XS | 7.01GB | Decent quality, new method with similar performance to Q4. |
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+ | [TableLLM-13b-Q4_0.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q4_0.gguf) | Q4_0 | 7.36GB | Decent quality, older format, generally not recommended. |
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+ | [TableLLM-13b-Q3_K_L.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q3_K_L.gguf) | Q3_K_L | 6.92GB | Lower quality but usable, good for low RAM availability. |
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+ | [TableLLM-13b-Q3_K_M.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q3_K_M.gguf) | Q3_K_M | 6.33GB | Even lower quality. |
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+ | [TableLLM-13b-IQ3_M.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-IQ3_M.gguf) | IQ3_M | 5.98GB | Medium-low quality, new method with decent performance. |
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+ | [TableLLM-13b-IQ3_S.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-IQ3_S.gguf) | IQ3_S | 5.65GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
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+ | [TableLLM-13b-Q3_K_S.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q3_K_S.gguf) | Q3_K_S | 5.65GB | Low quality, not recommended. |
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+ | [TableLLM-13b-Q2_K.gguf](https://huggingface.co/bartowski/TableLLM-13b-GGUF/blob/main/TableLLM-13b-Q2_K.gguf) | Q2_K | 4.85GB | Extremely low quality, *not* recommended.
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+
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+ Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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