metadata
base_model: intfloat/e5-mistral-7b-instruct
license: mit
model_creator: intfloat
quantized_by: Second State Inc.
language: en
E5-Mistral-7B-Instruct-Embedding-GGUF
Original Model
intfloat/e5-mistral-7b-instruct
Run with LlamaEdge
LlamaEdge version: coming soon
Context size:
4096
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| e5-mistral-7b-instruct-Q2_K.gguf | Q2_K | 2 | 2.72 GB | smallest, significant quality loss - not recommended for most purposes |
| e5-mistral-7b-instruct-Q3_K_L.gguf | Q3_K_L | 3 | 3.82 GB | small, substantial quality loss |
| e5-mistral-7b-instruct-Q3_K_M.gguf | Q3_K_M | 3 | 3.52 GB | very small, high quality loss |
| e5-mistral-7b-instruct-Q3_K_S.gguf | Q3_K_S | 3 | 3.16 GB | very small, high quality loss |
| e5-mistral-7b-instruct-Q4_0.gguf | Q4_0 | 4 | 4.11 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| e5-mistral-7b-instruct-Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | medium, balanced quality - recommended |
| e5-mistral-7b-instruct-Q4_K_S.gguf | Q4_K_S | 4 | 4.14 GB | small, greater quality loss |
| e5-mistral-7b-instruct-Q5_0.gguf | Q5_0 | 5 | 5.00 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| e5-mistral-7b-instruct-Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | large, very low quality loss - recommended |
| e5-mistral-7b-instruct-Q5_K_S.gguf | Q5_K_S | 5 | 5.00 GB | large, low quality loss - recommended |
| e5-mistral-7b-instruct-Q6_K.gguf | Q6_K | 6 | 5.94 GB | very large, extremely low quality loss |
| e5-mistral-7b-instruct-Q8_0.gguf | Q8_0 | 8 | 7.7 GB | very large, extremely low quality loss - not recommended |
| e5-mistral-7b-instruct-f16.gguf | Q8_0 | 8 | 14.5 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b2334