AlphaBet_memory-free is an open-weight model from Liqin Ye. It has 106.9B parameters and a 131,072-token context. At 16-bit it needs about 256.4 GB of GPU memory, which fits on 1x MI355X from $2.59 an hour; at 4-bit, 64.1 GB on 1x MI300X from $1.85, at the lowest prices in the SAVRN Index.
Runs On
What it takes to serve AlphaBet_memory-free (106.9B 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 | 213.7 GB | 256.4 GB | 1x MI355X (288 GB) Vultr |
$2.59 | 2x MI300X $3.70 · 2x MI325X $4.00 |
| 8-bit | 106.9 GB | 128.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x MI325X $2.00 · 1x MI355X $2.59 |
| 4-bit | 53.4 GB | 64.1 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 24, 2026.
AlphaBet_memory-free on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Glm4MoeForCausalLM
- Context length (tokens)
- 131,072
- Layers
- 46
- Hidden size
- 4,096
- Feed-forward size
- 10,944
- Attention heads
- 96
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,552
- Routed experts
- 128
- Experts active per token
- 8
- RoPE base
- 1,000,000
- Stored precision
- bfloat16
- Model type
- glm4_moe
Identity and Version
- Repository
- liqinye/AlphaBet_memory-free
- Publisher
- Liqin Ye
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 106.9B parameters
- Languages
- Not stated by the source
- Revision
- 07d29f425a7de8f1f3c2910b708fcaaf01f7a5eb
- First published
- 2026-10-11
- Last updated
- 2026-10-11
Files and Weights
47 files, 213.7 GB in total. The weights are 40 files totalling 213.7 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00000-of-00040.safetensors | Weights | 5.4 GB | 9be5f19296c8 |
| model-00001-of-00040.safetensors | Weights | 5.4 GB | 8b1d7c8de0af |
| model-00002-of-00040.safetensors | Weights | 5.4 GB | 49f488dc5cb9 |
| model-00003-of-00040.safetensors | Weights | 5.4 GB | dfd1a6163a12 |
| model-00004-of-00040.safetensors | Weights | 5.4 GB | 42985a6175bb |
| model-00005-of-00040.safetensors | Weights | 5.4 GB | eee38b79258a |
| model-00006-of-00040.safetensors | Weights | 5.4 GB | c0863aa09efc |
| model-00007-of-00040.safetensors | Weights | 5.4 GB | 8153983bad40 |
| model-00008-of-00040.safetensors | Weights | 5.4 GB | ea83356bfbe4 |
| model-00009-of-00040.safetensors | Weights | 5.4 GB | 674881f6c206 |
| model-00010-of-00040.safetensors | Weights | 5.4 GB | 6817e24b5e00 |
| model-00011-of-00040.safetensors | Weights | 5.4 GB | 0bf6853a832e |
| model-00012-of-00040.safetensors | Weights | 5.4 GB | b36cd440d5fa |
| model-00013-of-00040.safetensors | Weights | 5.4 GB | 37a16d71f282 |
| model-00014-of-00040.safetensors | Weights | 5.4 GB | 1385e95462d4 |
| model-00015-of-00040.safetensors | Weights | 5.4 GB | 7348973f02b3 |
| model-00016-of-00040.safetensors | Weights | 5.4 GB | 414f04e13d1c |
| model-00017-of-00040.safetensors | Weights | 5.4 GB | c1844ca8b0f3 |
| model-00018-of-00040.safetensors | Weights | 5.4 GB | 23c374e44831 |
| model-00019-of-00040.safetensors | Weights | 5.4 GB | 8fb78c52afe9 |
| model-00020-of-00040.safetensors | Weights | 5.4 GB | 9a81a925a467 |
| model-00021-of-00040.safetensors | Weights | 5.4 GB | 28ee4c62a2e4 |
| model-00022-of-00040.safetensors | Weights | 5.4 GB | 451ddb5e382b |
| model-00023-of-00040.safetensors | Weights | 5.4 GB | e7563c703657 |
| model-00024-of-00040.safetensors | Weights | 5.4 GB | 94202cac1083 |
| model-00025-of-00040.safetensors | Weights | 5.4 GB | 41dfc886c21a |
| model-00026-of-00040.safetensors | Weights | 5.4 GB | 55af82020eb3 |
| model-00027-of-00040.safetensors | Weights | 5.4 GB | 6f7f666b1b10 |
| model-00028-of-00040.safetensors | Weights | 5.4 GB | 6e3098f17a32 |
| model-00029-of-00040.safetensors | Weights | 5.4 GB | b8c52133020a |
| model-00030-of-00040.safetensors | Weights | 5.4 GB | b25dcdbad386 |
| model-00031-of-00040.safetensors | Weights | 5.4 GB | c12ab01b9fa5 |
| model-00032-of-00040.safetensors | Weights | 5.4 GB | b1c21987a30d |
| model-00033-of-00040.safetensors | Weights | 5.4 GB | 21106cf3d44a |
| model-00034-of-00040.safetensors | Weights | 5.4 GB | 7afbdeed93fa |
| model-00035-of-00040.safetensors | Weights | 5.4 GB | 5ac3720bb9b9 |
| model-00036-of-00040.safetensors | Weights | 5.4 GB | 5a0d9fdc16d4 |
| model-00037-of-00040.safetensors | Weights | 5.4 GB | fe6dc11c6706 |
| model-00038-of-00040.safetensors | Weights | 5.4 GB | f69189636a58 |
| model-00039-of-00040.safetensors | Weights | 4.5 GB | f8ebb2888710 |
| config.json | Configuration | 1.0 KB | — |
| generation_config.json | Configuration | 155 B | — |
| model.safetensors.index.json | Configuration | 1.6 MB | — |
| chat_template.jinja | Other | 3.2 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 20.0 MB | 934066501641 |
| tokenizer_config.json | Tokenizer | 7.3 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 213.7 GB
Released by Liqin Ye through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 213.7 GB |
| 16-bit | 213.7 GB |
| 8-bit | 106.9 GB |
| 4-bit | 53.4 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About AlphaBet_memory-free
How much GPU memory does AlphaBet_memory-free need?
About 256.4 GB at 16-bit and 64.1 GB at 4-bit: the weights (106.9B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run AlphaBet_memory-free on?
At 16-bit, 1x MI355X from $2.59 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
What is AlphaBet_memory-free's context length?
131,072 tokens, from the maximum position embeddings in its published configuration.