Text / LLM / Model

LLM360 Amber

Organisation
LLM360 (MBZUAI / Petuum)
Family
LLM360 Pebble · version 7B
Released
2023-12-11 (arXiv v1 submission date of 2312.06550 (https://arxiv.org/abs/2312.06550); HF createdAt: IFM/Amber 2023-12-07, IFM/AmberChat 2023-11-30, IFM/AmberSafe 2023-12-15 (https://huggingface.co/api/models/IFM/Amber))
Checkpoints
IFM/Amber, IFM/AmberChat, IFM/AmberSafe
Weights
Open · apache-2.0
Links

Training data disclosure: Full list

Level determined for 0% of benchmark cells.

“360 model checkpoints and the full data sequence are available under the Apache 2.0 license.”
huggingface.co · model card · retrieved 2026-10-15
“We simply put together all the original aforementioned datasets (without any further cleaning, filtering, or sub-sampling), conduct a global permutation, and partition them evenly into 360 data chunks.”
arxiv.org · paper · Section 4.1.1 · retrieved 2026-10-15
“WizardLM/WizardLM_evol_instruct_V2_196k | 143k”
huggingface.co · model card · AmberChat Finetuning Details, DataMix · retrieved 2026-10-15

Training corpora

Other declared training data

Benchmark cells

Classic LLM benchmarks

Unknown MMLU (Measuring Massive Multitask Language Understanding) · training data not disclosed in enough detail

Unknown GSM8K (Grade School Math 8K) · training data not disclosed in enough detail

Unknown MATH (Mathematics Aptitude Test of Heuristics) · training data not disclosed in enough detail

Unknown HumanEval · training data not disclosed in enough detail

Unknown ARC-Challenge (AI2 Reasoning Challenge, Challenge Set) · training data not disclosed in enough detail

Unknown HellaSwag · training data not disclosed in enough detail

Unknown TruthfulQA · training data not disclosed in enough detail

Unknown WinoGrande · training data not disclosed in enough detail

Recent LLM benchmarks

Unknown GPQA Diamond · training data not disclosed in enough detail

Unknown MMLU-Pro · training data not disclosed in enough detail

Unknown LiveCodeBench (code generation, release_v6) · training data not disclosed in enough detail

Unknown SWE-bench Verified · training data not disclosed in enough detail

Unknown AIME 2024 · training data not disclosed in enough detail

Unknown AIME 2025 · training data not disclosed in enough detail

Unknown MATH-500 · training data not disclosed in enough detail

Notes

7B LLaMA-architecture model trained on 1.26T tokens; 360 intermediate checkpoints. AmberChat (SFT) and AmberSafe (DPO on AmberChat) were released within about two weeks of the base model (HF repos created 2023-11-30 to 2023-12-15), so their data is recorded here as fine_tuning. HF org LLM360 now redirects to IFM.

Sources