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gte-Qwen2-1.5B-instruct-GGUF
second-state/gte-Qwen2-1.5B-instruct-GGUF
gte-Qwen2-1.5B-instruct-GGUF is a sentence similarity model from second-state. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
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All-time downloads
27.3K
Public
Repo size
17.5 GB
Likes
4
Public
Repo makeup
Click a slice to open those files.
.gguf17.5 GB · 100%
At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024
- SHA
- 124fbdad
Base models
Model card
From the Hugging Face model README
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gte-Qwen2-1.5B-instruct-GGUF
Original Model
Alibaba-NLP/gte-Qwen2-1.5B-instruct
Run with LlamaEdge
-
LlamaEdge version: v0.12.2 and above
-
Prompt template
- Prompt type:
embedding
- Prompt type:
-
Context size:
32000 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gte-Qwen2-1.5B-instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template embedding \ --ctx-size 32000 \ --model-name gte-Qwen2-1.5B-instruct
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| gte-Qwen2-1.5B-instruct-Q2_K.gguf | Q2_K | 2 | 752 MB | smallest, significant quality loss - not recommended for most purposes |
| gte-Qwen2-1.5B-instruct-Q3_K_L.gguf | Q3_K_L | 3 | 980 MB | small, substantial quality loss |
| gte-Qwen2-1.5B-instruct-Q3_K_M.gguf | Q3_K_M | 3 | 924 MB | very small, high quality loss |
| gte-Qwen2-1.5B-instruct-Q3_K_S.gguf | Q3_K_S | 3 | 861 MB | very small, high quality loss |
| gte-Qwen2-1.5B-instruct-Q4_0.gguf | Q4_0 | 4 | 1.07 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gte-Qwen2-1.5B-instruct-Q4_K_M.gguf | Q4_K_M | 4 | 1.12 GB | medium, balanced quality - recommended |
| gte-Qwen2-1.5B-instruct-Q4_K_S.gguf | Q4_K_S | 4 | 1.07 GB | small, greater quality loss |
| gte-Qwen2-1.5B-instruct-Q5_0.gguf | Q5_0 | 5 | 1.26 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gte-Qwen2-1.5B-instruct-Q5_K_M.gguf | Q5_K_M | 5 | 1.28 GB | large, very low quality loss - recommended |
| gte-Qwen2-1.5B-instruct-Q5_K_S.gguf | Q5_K_S | 5 | 1.26 GB | large, low quality loss - recommended |
| gte-Qwen2-1.5B-instruct-Q6_K.gguf | Q6_K | 6 | 1.46 GB | very large, extremely low quality loss |
| gte-Qwen2-1.5B-instruct-Q8_0.gguf | Q8_0 | 8 | 1.89 GB | very large, extremely low quality loss - not recommended |
| gte-Qwen2-1.5B-instruct-f16.gguf | f16 | 8 | 3.56 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b3259
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024