moxin-instruct-7b-GGUF
Original Model
Run with LlamaEdge
- LlamaEdge version: coming soon
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| moxin-instruct-7b-Q2_K.gguf | Q2_K | 2 | 3.04 GB | smallest, significant quality loss - not recommended for most purposes |
| moxin-instruct-7b-Q3_K_L.gguf | Q3_K_L | 3 | 4.28 GB | small, substantial quality loss |
| moxin-instruct-7b-Q3_K_M.gguf | Q3_K_M | 3 | 3.94 GB | very small, high quality loss |
| moxin-instruct-7b-Q3_K_S.gguf | Q3_K_S | 3 | 3.54 GB | very small, high quality loss |
| moxin-instruct-7b-Q4_0.gguf | Q4_0 | 4 | 4.60 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| moxin-instruct-7b-Q4_K_M.gguf | Q4_K_M | 4 | 4.89 GB | medium, balanced quality - recommended |
| moxin-instruct-7b-Q4_K_S.gguf | Q4_K_S | 4 | 4.63 GB | small, greater quality loss |
| moxin-instruct-7b-Q5_0.gguf | Q5_0 | 5 | 5.60 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| moxin-instruct-7b-Q5_K_M.gguf | Q5_K_M | 5 | 5.75 GB | large, very low quality loss - recommended |
| moxin-instruct-7b-Q5_K_S.gguf | Q5_K_S | 5 | 5.60 GB | large, low quality loss - recommended |
| moxin-instruct-7b-Q6_K.gguf | Q6_K | 6 | 6.66 GB | very large, extremely low quality loss |
| moxin-instruct-7b-Q8_0.gguf | Q8_0 | 8 | 8.62 GB | very large, extremely low quality loss - not recommended |
| moxin-instruct-7b-f16.gguf | f16 | 16 | 16.2 GB |
Quantized with llama.cpp b5410
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Model tree for second-state/moxin-instruct-7b-GGUF
Base model
moxin-org/moxin-instruct-7b