axeron-mf-43 is an open-weight model from AXERON AI INC. It has 3.1B parameters and a 32,768-token context. At 16-bit it needs about 7.4 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Trained with Axeron ModelForge.
Runs On
What it takes to serve axeron-mf-43 (3.1B 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 | 6.2 GB | 7.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 3.1 GB | 3.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.5 GB | 1.9 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 18, 2026.
axeron-mf-43 on every accelerator the SAVRN Index prices, at every precision
Model Card
Trained with Axeron ModelForge.
Excerpt from the card by AXERON AI INC.
Configuration
- Architecture
- Qwen2ForCausalLM
- Context length (tokens)
- 32,768
- Layers
- 36
- Hidden size
- 2,048
- Feed-forward size
- 11,008
- Attention heads
- 16
- Key/value heads
- 2
- Vocabulary size
- 151,936
- RoPE base
- 1e+06
- Model type
- qwen2
Identity and Version
- Repository
- AxeronAI/axeron-mf-43
- Publisher
- AXERON AI INC
- Task
- Not stated by the source
- Modality
- Other
- Library
- axeron-modelforge
- Parameters
- 3.1B parameters
- Languages
- Not stated by the source
- Revision
- 5c5391dc86749ee91a7ae8a16f3c9ed1280ce3b7
- First published
- 2026-09-19
- Last updated
- 2026-09-19
Files and Weights
14 files, 6.2 GB in total. The weights are 2 files totalling 6.2 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00002.safetensors | Weights | 4.4 GB | 1282bebb80b2 |
| model-00002-of-00002.safetensors | Weights | 1.7 GB | 977f3a5ea4f2 |
| added_tokens.json | Configuration | 605 B | — |
| config.json | Configuration | 1.5 KB | — |
| generation_config.json | Configuration | 121 B | — |
| model.safetensors.index.json | Configuration | 35.6 KB | — |
| special_tokens_map.json | Configuration | 613 B | — |
| README.md | Documentation | 313 B | — |
| chat_template.jinja | Other | 2.5 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | 9c5ae00e602b |
| tokenizer_config.json | Tokenizer | 4.7 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 6.2 GB
Released by AXERON AI INC through its official repository on Hugging Face.
Built From
- Derived from Qwen/Qwen2.5-3B-Instruct
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 6.2 GB |
| 16-bit | 6.2 GB |
| 8-bit | 3.1 GB |
| 4-bit | 1.5 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About axeron-mf-43
How much GPU memory does axeron-mf-43 need?
About 7.4 GB at 16-bit and 1.9 GB at 4-bit: the weights (3.1B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run axeron-mf-43 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.
What is axeron-mf-43's context length?
32,768 tokens, from the maximum position embeddings in its published configuration.