second-state / E5-Mistral-7B-Instruct-Embedding-GGUF

huggingface.co
Total runs: 1.4K
24-hour runs: 0
7-day runs: 101
30-day runs: -832
Model's Last Updated: July 01 2024
feature-extraction

Introduction of E5-Mistral-7B-Instruct-Embedding-GGUF

Model Details of E5-Mistral-7B-Instruct-Embedding-GGUF


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
  • 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

Runs of second-state E5-Mistral-7B-Instruct-Embedding-GGUF on huggingface.co

1.4K
Total runs
0
24-hour runs
34
3-day runs
101
7-day runs
-832
30-day runs

More Information About E5-Mistral-7B-Instruct-Embedding-GGUF huggingface.co Model

More E5-Mistral-7B-Instruct-Embedding-GGUF license Visit here:

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E5-Mistral-7B-Instruct-Embedding-GGUF huggingface.co Url

https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF

second-state E5-Mistral-7B-Instruct-Embedding-GGUF online free

E5-Mistral-7B-Instruct-Embedding-GGUF huggingface.co is an online trial and call api platform, which integrates E5-Mistral-7B-Instruct-Embedding-GGUF's modeling effects, including api services, and provides a free online trial of E5-Mistral-7B-Instruct-Embedding-GGUF, you can try E5-Mistral-7B-Instruct-Embedding-GGUF online for free by clicking the link below.

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E5-Mistral-7B-Instruct-Embedding-GGUF install

E5-Mistral-7B-Instruct-Embedding-GGUF is an open source model from GitHub that offers a free installation service, and any user can find E5-Mistral-7B-Instruct-Embedding-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of E5-Mistral-7B-Instruct-Embedding-GGUF install, users can directly use E5-Mistral-7B-Instruct-Embedding-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

E5-Mistral-7B-Instruct-Embedding-GGUF install url in huggingface.co:

https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF

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