# gte-Qwen2-1.5B-instruct by Alibaba-NLP: Open-Weight Model
Source: https://savrn.com/models/gte-qwen2-1-5b-instruct
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## Runs On

What it takes to serve gte-Qwen2-1.5B-instruct (1.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
| --- | --- | --- | --- | --- | --- |
| 16-bit | 3.6 GB | 4.3 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 8-bit | 1.8 GB | 2.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 4-bit | 0.9 GB | 1.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 24, 2026.

[gte-Qwen2-1.5B-instruct on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/gte-qwen2-1-5b-instruct/gpus)

## SAVRN's Notes on gte-Qwen2-1.5B-instruct

The reason to look at this embedding model over smaller ones is the context line: 131,072 tokens, unusual for sentence similarity. At 16-bit the run needs 4.3 GB of memory against 3.6 GB of weights; 8-bit needs 2.1 GB and 4-bit 1.1 GB. The cheapest setup on our board is one 192 GB MI300X at $1.85 an hour on demand, so the card is never the constraint. What fills it is sequence length: long documents mean long activations, and the runtime margin assumes a short context.

The publisher built it on Qwen2-1.5B with bidirectional attention and instruction tuning on the query side only, and says it shares training data and strategy with gte-Qwen2-7B-instruct, so you are choosing footprint, not recipe: 1.8B parameters and 674.9k downloads a month against the bigger sibling. Apache 2.0 covers commercial use with an express patent grant, provided the notices travel. Mind the storage gap: the Weights line lists 7.1 GB because weights are stored in float32. The evaluations on file are publisher-reported MTEB numbers, including 96.61 percent on AmazonPolarityClassification.

SAVRN Research

## Model Card

By Alibaba-NLP, published under apache-2.0, revision a9af15a6372d.

gte-Qwen2-1.5B-instruct is the latest model in the gte (General Text Embedding) model family. The model is built on [Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) LLM model and use the same training data and strategies as the [gte-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) model.

The model incorporates several key advancements:

- Integration of bidirectional attention mechanisms, enriching its contextual understanding.
- Instruction tuning, applied solely on the query side for streamlined efficiency
- Comprehensive training across a vast, multilingual text corpus spanning diverse domains and scenarios. This training leverages both weakly supervised and supervised data, ensuring the model's applicability across numerous languages and a wide array of downstream tasks.

### Model Information

- Model Size: 1.5B
- Embedding Dimension: 1536
- Max Input Tokens: 32k

### Requirements

```
transformers>=4.39.2
flash_attn>=2.5.6
```

### Usage

#### Sentence Transformers

[Read the full model card (990 words)](https://savrn.com/models/gte-qwen2-1-5b-instruct/card)

## Configuration

Architecture

Qwen2ForCausalLM

Context length (tokens)

131,072

Layers

28

Hidden size

1,536

Feed-forward size

8,960

Attention heads

12

Key/value heads

2

Vocabulary size

151,646

Sliding window (tokens)

131,072

RoPE base

1e+06

Stored precision

float32

Model type

qwen2

## Identity and Version

Repository

Alibaba-NLP/gte-Qwen2-1.5B-instruct

Publisher

Alibaba-NLP

Task

Sentence similarity

Modality

Text

Library

sentence-transformers

Parameters

1.8B parameters

Languages

Not stated by the source

Revision

a9af15a6372d7d6b25e9fb07c2ccb9e1fe645644

First published

2024-06-29

Last updated

2025-05-28

## Files and Weights

20 files, 7.1 GB in total. The weights are 2 files totalling 7.1 GB in safetensors.

Weights2 files · 7.1 GB

Configuration12 files · 142.7 KB

Tokenizer4 files · 11.5 MB

Documentation1 file · 146.3 KB

Repository1 file · 1.5 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| model-00001-of-00002.safetensors | Weights | 5.0 GB | 0842014813f9 |
| model-00002-of-00002.safetensors | Weights | 2.1 GB | 661830fd8d04 |
| 1_Pooling/config.json | Configuration | 297 B | — |
| added_tokens.json | Configuration | 80 B | — |
| config.json | Configuration | 901 B | — |
| config_sentence_transformers.json | Configuration | 284 B | — |
| generation_config.json | Configuration | 117 B | — |
| model.safetensors.index.json | Configuration | 27.8 KB | — |
| modeling_qwen.py | Configuration | 65.2 KB | — |
| modules.json | Configuration | 349 B | — |
| scripts/eval_mteb.py | Configuration | 36.4 KB | — |
| sentence_bert_config.json | Configuration | 55 B | — |
| special_tokens_map.json | Configuration | 370 B | — |
| tokenization_qwen.py | Configuration | 10.8 KB | — |
| README.md | Documentation | 146.3 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 7.0 MB | — |
| tokenizer_config.json | Tokenizer | 1.3 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |

## License and Download

License

apache-2.0

Access

Open weights, no gate

Download size

7.1 GB

[Download from Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct)

Released by Alibaba-NLP through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0).

## Built From

- Described by [arXiv:2308.03281](https://savrn.com/papers/towards-general-text-embeddings-with-multi-stage-contrastive-learning)

## Evaluations

Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.

| Benchmark | Conditions | Result | Reported by | Revision | Date |
| --- | --- | --- | --- | --- | --- |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 83.9851 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 50.9302 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 78.5042 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 96.6107 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 94.8917 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 96.6094 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 55.614 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 54.9055 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 45.164 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 61.519 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 61.769 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 61.769 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 57.444 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 60.058 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 46.088 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 61.861 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 62.118 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 62.118 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 57.729 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 60.392 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 45.164 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 69.72 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_100Comparison conditions not established | 70.719 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1000Comparison conditions not established | 70.719 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_3Comparison conditions not established | 61.518 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_5Comparison conditions not established | 66.247 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1Comparison conditions not established | 45.164 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_10Comparison conditions not established | 9.545 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_100Comparison conditions not established | 0.996 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1000Comparison conditions not established | 0.1 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_3Comparison conditions not established | 24.443 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_5Comparison conditions not established | 16.97 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1Comparison conditions not established | 45.164 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_10Comparison conditions not established | 95.448 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_100Comparison conditions not established | 99.644 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1000Comparison conditions not established | 99.644 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_3Comparison conditions not established | 73.329 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_5Comparison conditions not established | 84.851 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 50.5119 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 45.0078 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) Publisher reported | Evaluated revision not stated | — |

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 7.1 GB |
| 16-bit | 3.6 GB |
| 8-bit | 1.8 GB |
| 4-bit | 0.9 GB |

Weights only, from the published parameter count; the key-value cache and runtime add to this.

## Questions About gte-Qwen2-1.5B-instruct

### How much GPU memory does gte-Qwen2-1.5B-instruct need?

About 4.3 GB at 16-bit and 1.1 GB at 4-bit: the weights (1.8B parameters) plus a working margin. A long context needs more.

### What is the cheapest GPU to run gte-Qwen2-1.5B-instruct on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### Can I use gte-Qwen2-1.5B-instruct commercially?

Yes. gte-Qwen2-1.5B-instruct is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

### What is gte-Qwen2-1.5B-instruct's context length?

131,072 tokens, from the maximum position embeddings in its published configuration.

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## Alibaba-NLP

[All models and datasets](https://savrn.com/model-publishers/alibaba-nlp)

## Versions

- [a9af15a6372d](https://savrn.com/models/gte-qwen2-1-5b-instruct/versions/a9af15a6372d) · current 2026-09-18

## Explore More

- [All sentence similarity models](https://savrn.com/models/tasks/sentence-similarity)
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## Source

- Repository metadata, read 2026-10-19.
- [Hugging Face record](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct)
- [How the hub is built](https://savrn.com/model-hub/methodology)