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---
base_model: intfloat/e5-mistral-7b-instruct
license: mit
model_creator: intfloat
quantized_by: Second State Inc.
language: en
---
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# E5-Mistral-7B-Instruct-Embedding-GGUF
## Original Model
[intfloat/e5-mistral-7b-instruct](https://huggingface.co/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF/blob/main/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*
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