Downloads · 30 days
3.6K
6% of all-time downloads
E5-Mistral-7B-Instruct-Embedding-GGUF
second-state/E5-Mistral-7B-Instruct-Embedding-GGUF
E5-Mistral-7B-Instruct-Embedding-GGUF is a feature extraction model from second-state. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div <hr…
All-time downloads
57.4K
Public
Repo size
69.1 GB
Likes
15
Public
Repo makeup
Click a slice to open those files.
.gguf69.1 GB · 100%
At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- mistral
- Access
- Public
- Created
- Mar 14, 2024
- Updated
- Jul 1, 2024
- SHA
- 3e8b3777
Base models
Spaces
Model card
From the Hugging Face model README
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
E5-Mistral-7B-Instruct-Embedding-GGUF
Original Model
intfloat/e5-mistral-7b-instruct
Run with LlamaEdge
-
LlamaEdge version: v0.8.2 and above
-
Prompt template
- Prompt type:
embedding
- Prompt type:
-
Context size:
4096 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:e5-mistral-7b-instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template embedding \ --ctx-size 4096 \ --model-name e5-mistral-7b-instruct
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 | f16 | 8 | 14.5 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b2334
- Task
- Feature Extraction
- Library
- transformers
- Type
- mistral
- License
- mit
- Languages
- en
- Created
- Mar 14, 2024
- Updated
- Jul 1, 2024