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emberforge-3b-reasoner/README.md
ModelHub XC 7c36fbd792 初始化项目,由ModelHub XC社区提供模型
Model: strykes/emberforge-3b-reasoner
Source: Original Platform
2026-05-30 19:09:18 +08:00

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---
language:
- en
license: apache-2.0
tags:
- transformers
- safetensors
- gguf
- peft
- qlora
- reasoning
base_model:
- Nanbeige/Nanbeige4.1-3B
library_name: transformers
pipeline_tag: text-generation
---
# EmberForge-3B-Reasoner
Private finetuned Nanbeige4.1-3B reasoning release by `strykes`.
## Included Artifacts
- Merged full model (Safetensors) at repo root for HF benchmarking
- LoRA adapter in `adapter/`
- GGUF in `gguf/`:
- `Nanbeige4.1-3B-Q5_K_M.gguf`
- `Nanbeige4.1-3B-Q4_K_M.gguf`
- `Nanbeige4.1-3B-f16.gguf`
- Optional archive in `archives/`
## Training Snapshot
- Base: `Nanbeige/Nanbeige4.1-3B`
- Method: Unsloth QLoRA -> merged weights
- Data: ~3.5k synthetic reasoning samples
- Epochs: 2
- Sequence length: 4096
## Notes
- Intended for research and benchmarking.
- Validate outputs before critical use.
## Benchmarks (2026-02-24)
### Local lm-eval results (this finetune)
| Task | Metric | Score |
|---|---:|---:|
| mmlu | acc,none | 59.98% |
| gsm8k | exact_match,flexible-extract | 62.40% |
| arc_challenge | acc_norm,none | 31.74% |
| hellaswag | acc_norm,none | 56.07% |
| winogrande | acc,none | 50.04% |
| piqa | acc_norm,none | 63.22% |
| boolq | acc,none | 74.37% |
| truthfulqa_mc2 | acc,none | 45.34% |
### Public references
- Base model (`Nanbeige/Nanbeige4.1-3B`) author-published benchmarks are listed in:
- `benchmarks/lm-eval-2026-02-24/benchmark_comparison_public_2026-02-24.md`
- Frontier references (Claude/GPT/Gemini) are included in the same comparison report.
### Reproducibility artifacts
- `benchmarks/lm-eval-2026-02-24/summary_v3.tsv`
- `benchmarks/lm-eval-2026-02-24/results_2026-02-24T00-06-21.474293.json`
- `benchmarks/lm-eval-2026-02-24/run_v3.log`
- `benchmarks/lm-eval-2026-02-24/benchmark_comparison_public_2026-02-24.md`
### Caveat
Public model-card comparisons are not always apples-to-apples with lm-evaluation-harness settings (prompting, few-shot, decoding, and benchmark versions can differ).