xLAM-8x7b-r-GGUF
Original Model
Run with LlamaEdge
- LlamaEdge version: coming soon
- Context size:
32000
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| xLAM-8x7b-r-Q2_K.gguf | Q2_K | 2 | 17.3 GB | smallest, significant quality loss - not recommended for most purposes |
| xLAM-8x7b-r-Q3_K_L.gguf | Q3_K_L | 3 | 24.2 GB | small, substantial quality loss |
| xLAM-8x7b-r-Q3_K_M.gguf | Q3_K_M | 3 | 22.5 GB | very small, high quality loss |
| xLAM-8x7b-r-Q3_K_S.gguf | Q3_K_S | 3 | 20.4 GB | very small, high quality loss |
| xLAM-8x7b-r-Q4_0.gguf | Q4_0 | 4 | 26.4 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| xLAM-8x7b-r-Q4_K_M.gguf | Q4_K_M | 4 | 28.4 GB | medium, balanced quality - recommended |
| xLAM-8x7b-r-Q4_K_S.gguf | Q4_K_S | 4 | 26.7 GB | small, greater quality loss |
| xLAM-8x7b-r-Q5_0.gguf | Q5_0 | 5 | 32.2 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| xLAM-8x7b-r-Q5_K_M.gguf | Q5_K_M | 5 | 33.2 GB | large, very low quality loss - recommended |
| xLAM-8x7b-r-Q5_K_S.gguf | Q5_K_S | 5 | 32.2 GB | large, low quality loss - recommended |
| xLAM-8x7b-r-Q6_K.gguf | Q6_K | 6 | 38.4 GB | very large, extremely low quality loss |
| xLAM-8x7b-r-Q8_0.gguf | Q8_0 | 8 | 49.6 GB | very large, extremely low quality loss - not recommended |
| xLAM-8x7b-r-f16-00001-of-00004.gguf | f16 | 16 | 29.4 GB | |
| xLAM-8x7b-r-f16-00002-of-00004.gguf | f16 | 16 | 30.0 GB | |
| xLAM-8x7b-r-f16-00003-of-00004.gguf | f16 | 16 | 29.3 GB | |
| xLAM-8x7b-r-f16-00004-of-00004.gguf | f16 | 16 | 4.78 GB |
Quantized with llama.cpp b3613.
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Model tree for second-state/xLAM-8x7b-r-GGUF
Base model
Salesforce/xLAM-8x7b-r
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this model