Octen-Embedding-8B-GGUF

1
license:apache-2.0
by
tex8
Embedding Model
OTHER
8B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM

Code Examples

Usage with llama.cppbash
llama-embedding \
  -m Octen-Embedding-8B-Q8_0.gguf \
  --pooling last \
  -p "Your text here"
Usage with llama.cpppythonllama.cpp
from llama_cpp import Llama

llm = Llama(
    model_path="Octen-Embedding-8B-Q8_0.gguf",
    embedding=True,
    n_gpu_layers=-1,
    n_ctx=2048,
)

result = llm.create_embedding("Your text here")
embedding = result['data'][0]['embedding']  # 4096-dim vector
4096-dim vectorbash
# Step 1: Convert to F16
python convert_hf_to_gguf.py Octen/Octen-Embedding-8B \
  --outfile Octen-Embedding-8B-f16.gguf \
  --outtype f16

# Step 2: Quantize
llama-quantize \
  --leave-output-tensor \
  --token-embedding-type F16 \
  Octen-Embedding-8B-f16.gguf \
  Octen-Embedding-8B-Q8_0.gguf Q8_0

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