chrono4-2023-distill-mix is a model from Lima (access requested at publisher). It has 2B parameters. At 16-bit it needs about 4.8 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
2023-cutoff ChronoLLM (SN38) checkpoint: one SFT stage on a shuffled 7:3 mix of quality answers (keltknight distillation + OpenAI gold x3) and 2023 extractive Q&A, from (commit pretrain-55486: anacoluthe89/chrono4-2022@fae9ed37 + 5B-token month-balanced 2023…
Runs On
What it takes to serve chrono4-2023-distill-mix (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 | 4.0 GB | 4.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 2.0 GB | 2.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.0 GB | 1.2 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 21, 2026.
chrono4-2023-distill-mix on every accelerator the SAVRN Index prices, at every precision
Model Card
2023-cutoff ChronoLLM (SN38) checkpoint: one SFT stage on a shuffled 7:3 mix of quality answers (keltknight distillation + OpenAI gold x3) and 2023 extractive Q&A, from (commit pretrain-55486: anacoluthe89/chrono4-2022@fae9ed37 + 5B-token month-balanced 2023 CPT, no SFT). Every commit message is sft-, so each revision maps to exactly one training step. - Subset 1 (2,399,928,714 tokens, 28,834,968 rows), every row: 1. keltknightdistill: 20,880,051 rows, 1,681,389,810 tokens. Answers by keltknight/r13-m116@66127522f156c4375c49b28df292ca76e2ce20d0 (validator generation path: BOS + raw prompt, greedy, 100 new tokens, EOS stop) for every unique prompt of sn38-quality-gold-openai-merged…
Excerpt from the card by Lima.
Identity and Version
- Repository
- jjjlimaus/chrono4-2023-distill-mix
- Publisher
- Lima
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 2B parameters
- Languages
- Not stated by the source
- Revision
- e1d29438e15893134f0991077e76486817e04b6a
- First published
- 2026-10-04
- Last updated
- 2026-10-04
Files and Weights
7 files, 4.0 GB in total. The weights are 1 file totalling 4.0 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 4.0 GB | — |
| config.json | Configuration | 1.8 KB | — |
| generation_config.json | Configuration | 197 B | — |
| README.md | Documentation | 3.8 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer.json | Tokenizer | 1.7 MB | — |
| tokenizer_config.json | Tokenizer | 196 B | — |
License and Download
- License
- Not stated by the source
- Access
- Access requested at publisher
- Download size
- 4.0 GB
Lima grants access through its official repository on Hugging Face.
Built From
- Derived from jjjlimaus/chrono4-2023-cpt-qa50-sft-forget
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 4.0 GB |
| 16-bit | 4.0 GB |
| 8-bit | 2.0 GB |
| 4-bit | 1.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About chrono4-2023-distill-mix
How much GPU memory does chrono4-2023-distill-mix need?
About 4.8 GB at 16-bit and 1.2 GB at 4-bit: the weights (2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run chrono4-2023-distill-mix 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.