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Pygmalion-2-7B-GGUF

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  ---
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  datasets:
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  - PygmalionAI/PIPPA
 
 
 
 
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  inference: false
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  language:
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  - en
@@ -114,18 +118,18 @@ Refer to the Provided Files table below to see what files use which methods, and
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  | Name | Quant method | Bits | Size | Max RAM required | Use case |
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  | ---- | ---- | ---- | ---- | ---- | ----- |
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- | pygmalion-2-7b.Q2_K.gguf | Q2_K | 2 | 2.83 GB| 5.33 GB | smallest, significant quality loss - not recommended for most purposes |
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- | pygmalion-2-7b.Q3_K_S.gguf | Q3_K_S | 3 | 2.95 GB| 5.45 GB | very small, high quality loss |
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- | pygmalion-2-7b.Q3_K_M.gguf | Q3_K_M | 3 | 3.30 GB| 5.80 GB | very small, high quality loss |
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- | pygmalion-2-7b.Q3_K_L.gguf | Q3_K_L | 3 | 3.60 GB| 6.10 GB | small, substantial quality loss |
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- | pygmalion-2-7b.Q4_0.gguf | Q4_0 | 4 | 3.83 GB| 6.33 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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- | pygmalion-2-7b.Q4_K_S.gguf | Q4_K_S | 4 | 3.86 GB| 6.36 GB | small, greater quality loss |
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- | pygmalion-2-7b.Q4_K_M.gguf | Q4_K_M | 4 | 4.08 GB| 6.58 GB | medium, balanced quality - recommended |
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- | pygmalion-2-7b.Q5_0.gguf | Q5_0 | 5 | 4.65 GB| 7.15 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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- | pygmalion-2-7b.Q5_K_S.gguf | Q5_K_S | 5 | 4.65 GB| 7.15 GB | large, low quality loss - recommended |
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- | pygmalion-2-7b.Q5_K_M.gguf | Q5_K_M | 5 | 4.78 GB| 7.28 GB | large, very low quality loss - recommended |
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- | pygmalion-2-7b.Q6_K.gguf | Q6_K | 6 | 5.53 GB| 8.03 GB | very large, extremely low quality loss |
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- | pygmalion-2-7b.Q8_0.gguf | Q8_0 | 8 | 7.16 GB| 9.66 GB | very large, extremely low quality loss - not recommended |
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  **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
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  ---
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  datasets:
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  - PygmalionAI/PIPPA
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+ - Open-Orca/OpenOrca
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+ - Norquinal/claude_multiround_chat_30k
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+ - jondurbin/airoboros-gpt4-1.4.1
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+ - databricks/databricks-dolly-15k
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  inference: false
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  language:
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  - en
 
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  | Name | Quant method | Bits | Size | Max RAM required | Use case |
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  | ---- | ---- | ---- | ---- | ---- | ----- |
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+ | [pygmalion-2-7b.Q2_K.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q2_K.gguf) | Q2_K | 2 | 2.83 GB| 5.33 GB | smallest, significant quality loss - not recommended for most purposes |
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+ | [pygmalion-2-7b.Q3_K_S.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q3_K_S.gguf) | Q3_K_S | 3 | 2.95 GB| 5.45 GB | very small, high quality loss |
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+ | [pygmalion-2-7b.Q3_K_M.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q3_K_M.gguf) | Q3_K_M | 3 | 3.30 GB| 5.80 GB | very small, high quality loss |
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+ | [pygmalion-2-7b.Q3_K_L.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q3_K_L.gguf) | Q3_K_L | 3 | 3.60 GB| 6.10 GB | small, substantial quality loss |
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+ | [pygmalion-2-7b.Q4_0.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q4_0.gguf) | Q4_0 | 4 | 3.83 GB| 6.33 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [pygmalion-2-7b.Q4_K_S.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q4_K_S.gguf) | Q4_K_S | 4 | 3.86 GB| 6.36 GB | small, greater quality loss |
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+ | [pygmalion-2-7b.Q4_K_M.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q4_K_M.gguf) | Q4_K_M | 4 | 4.08 GB| 6.58 GB | medium, balanced quality - recommended |
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+ | [pygmalion-2-7b.Q5_0.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q5_0.gguf) | Q5_0 | 5 | 4.65 GB| 7.15 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [pygmalion-2-7b.Q5_K_S.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q5_K_S.gguf) | Q5_K_S | 5 | 4.65 GB| 7.15 GB | large, low quality loss - recommended |
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+ | [pygmalion-2-7b.Q5_K_M.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q5_K_M.gguf) | Q5_K_M | 5 | 4.78 GB| 7.28 GB | large, very low quality loss - recommended |
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+ | [pygmalion-2-7b.Q6_K.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q6_K.gguf) | Q6_K | 6 | 5.53 GB| 8.03 GB | very large, extremely low quality loss |
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+ | [pygmalion-2-7b.Q8_0.gguf](https://huggingface.co/TheBloke/Pygmalion-2-7B-GGUF/blob/main/pygmalion-2-7b.Q8_0.gguf) | Q8_0 | 8 | 7.16 GB| 9.66 GB | very large, extremely low quality loss - not recommended |
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  **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
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