Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features: - Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios. - Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and…
Open-weight model · Text generation
qwen-compassion-s1-part1
by Compassion aligned machine learning CompassioninMachineLearning/qwen-compassion-s1-part1
qwen-compassion-s1-part1 is an open-weight model for text generation from Compassion aligned machine learning, released under Apache License 2.0. It has 8.2B parameters and a 32,768-token context. At 16-bit it needs about 19.7 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Parameters8.2B
Context32,768
Weights16.4 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—
Runs On
What it takes to serve qwen-compassion-s1-part1 (8.2B 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 | 16.4 GB | 19.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 8.2 GB | 9.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 4.1 GB | 4.9 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x 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, read Oct 19, 2026.
qwen-compassion-s1-part1 on every accelerator the SAVRN Index prices, at every precision
Model Card
By Compassion aligned machine learning, published under apache-2.0, revision 411803c6f46a.
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Read Compassion aligned machine learning's full model card
Uploaded finetuned model
- Developed by: CompassioninMachineLearning
- License: apache-2.0
- Finetuned from model : CompassioninMachineLearning/qwen-compassion-midtrain-seed1-CPT-best
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Configuration
- Architecture
- Qwen3ForCausalLM
- Context length (tokens)
- 32,768
- Layers
- 36
- Hidden size
- 4,096
- Feed-forward size
- 12,288
- Attention heads
- 32
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,936
- RoPE base
- 10000
- Stored precision
- bfloat16
- Model type
- qwen3
Identity and Version
- Repository
- CompassioninMachineLearning/qwen-compassion-s1-part1
- Publisher
- Compassion aligned machine learning
- Task
- Text generation
- Modality
- Text
- Library
- transformers
- Parameters
- 8.2B parameters
- Languages
- en
- Revision
- 411803c6f46ae0fa70769970f5b1e6afe26d0e73
- First published
- 2026-10-12
- Last updated
- 2026-10-12
Files and Weights
14 files, 16.4 GB in total. The weights are 1 file totalling 16.4 GB in safetensors.
Weights1 file · 16.4 GB
Configuration6 files · 30.0 KB
Tokenizer4 files · 15.9 MB
Documentation1 file · 678 B
Other1 file · 4.1 KB
Repository1 file · 1.6 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 16.4 GB | 421aa2efc4e3 |
| added_tokens.json | Configuration | 707 B | — |
| config.json | Configuration | 1.8 KB | — |
| generation_config.json | Configuration | 150 B | — |
| run_manifest.json | Configuration | 2.3 KB | — |
| special_tokens_map.json | Configuration | 296 B | — |
| trainer_state.json | Configuration | 24.8 KB | — |
| README.md | Documentation | 678 B | — |
| chat_template.jinja | Other | 4.1 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | be75606093db |
| tokenizer_config.json | Tokenizer | 9.5 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 16.4 GB
Download from Compassion aligned machine learning
Released by Compassion aligned machine learning through its official repository on Hugging Face. Read the license.
Built From
- Derived from CompassioninMachineLearning/qwen-compassion-midtrain-seed1-CPT-best
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 16.4 GB |
| 16-bit | 16.4 GB |
| 8-bit | 8.2 GB |
| 4-bit | 4.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About qwen-compassion-s1-part1
How much GPU memory does qwen-compassion-s1-part1 need?
About 19.7 GB at 16-bit and 4.9 GB at 4-bit: the weights (8.2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run qwen-compassion-s1-part1 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 qwen-compassion-s1-part1 commercially?
Yes. qwen-compassion-s1-part1 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 qwen-compassion-s1-part1's context length?
32,768 tokens, from the maximum position embeddings in its published configuration.
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