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Model: strykes/emberforge-3b-reasoner Source: Original Platform
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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gguf/Nanbeige4.1-3B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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gguf/Nanbeige4.1-3B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- transformers
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- safetensors
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- gguf
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- peft
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- qlora
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- reasoning
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base_model:
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- Nanbeige/Nanbeige4.1-3B
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library_name: transformers
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pipeline_tag: text-generation
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---
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# EmberForge-3B-Reasoner
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Private finetuned Nanbeige4.1-3B reasoning release by `strykes`.
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## Included Artifacts
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- Merged full model (Safetensors) at repo root for HF benchmarking
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- LoRA adapter in `adapter/`
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- GGUF in `gguf/`:
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- `Nanbeige4.1-3B-Q5_K_M.gguf`
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- `Nanbeige4.1-3B-Q4_K_M.gguf`
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- `Nanbeige4.1-3B-f16.gguf`
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- Optional archive in `archives/`
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## Training Snapshot
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- Base: `Nanbeige/Nanbeige4.1-3B`
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- Method: Unsloth QLoRA -> merged weights
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- Data: ~3.5k synthetic reasoning samples
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- Epochs: 2
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- Sequence length: 4096
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## Notes
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- Intended for research and benchmarking.
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- Validate outputs before critical use.
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## Benchmarks (2026-02-24)
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### Local lm-eval results (this finetune)
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| Task | Metric | Score |
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|---|---:|---:|
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| mmlu | acc,none | 59.98% |
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| gsm8k | exact_match,flexible-extract | 62.40% |
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| arc_challenge | acc_norm,none | 31.74% |
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| hellaswag | acc_norm,none | 56.07% |
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| winogrande | acc,none | 50.04% |
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| piqa | acc_norm,none | 63.22% |
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| boolq | acc,none | 74.37% |
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| truthfulqa_mc2 | acc,none | 45.34% |
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### Public references
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- Base model (`Nanbeige/Nanbeige4.1-3B`) author-published benchmarks are listed in:
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- `benchmarks/lm-eval-2026-02-24/benchmark_comparison_public_2026-02-24.md`
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- Frontier references (Claude/GPT/Gemini) are included in the same comparison report.
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### Reproducibility artifacts
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- `benchmarks/lm-eval-2026-02-24/summary_v3.tsv`
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- `benchmarks/lm-eval-2026-02-24/results_2026-02-24T00-06-21.474293.json`
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- `benchmarks/lm-eval-2026-02-24/run_v3.log`
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- `benchmarks/lm-eval-2026-02-24/benchmark_comparison_public_2026-02-24.md`
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### Caveat
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Public model-card comparisons are not always apples-to-apples with lm-evaluation-harness settings (prompting, few-shot, decoding, and benchmark versions can differ).
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210
adapter/README.md
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---
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base_model: Nanbeige/Nanbeige4.1-3B
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:Nanbeige/Nanbeige4.1-3B
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- lora
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- sft
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- transformers
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- trl
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- unsloth
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---
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||||||
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||||||
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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||||||
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||||||
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<!-- Provide the basic links for the model. -->
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||||||
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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||||||
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||||||
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### Out-of-Scope Use
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||||||
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||||||
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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||||||
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||||||
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## Bias, Risks, and Limitations
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||||||
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||||||
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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||||||
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||||||
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### Recommendations
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||||||
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||||||
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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||||||
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||||||
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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||||||
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||||||
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## How to Get Started with the Model
|
||||||
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||||||
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Use the code below to get started with the model.
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||||||
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|
||||||
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[More Information Needed]
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||||||
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|
||||||
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## Training Details
|
||||||
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|
||||||
|
### Training Data
|
||||||
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|
||||||
|
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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||||||
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||||||
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### Training Procedure
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||||||
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|
||||||
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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||||||
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#### Preprocessing [optional]
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||||||
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||||||
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[More Information Needed]
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||||||
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|
||||||
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|
||||||
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#### Training Hyperparameters
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||||||
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||||||
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||||
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#### Speeds, Sizes, Times [optional]
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||||||
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|
||||||
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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||||||
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|
||||||
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## Evaluation
|
||||||
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|
||||||
|
<!-- This section describes the evaluation protocols and provides the results. -->
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||||||
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### Testing Data, Factors & Metrics
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||||||
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||||||
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#### Testing Data
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||||||
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|
||||||
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<!-- This should link to a Dataset Card if possible. -->
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||||||
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||||||
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[More Information Needed]
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||||||
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|
||||||
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#### Factors
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||||||
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|
||||||
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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||||||
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[More Information Needed]
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||||||
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|
||||||
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#### Metrics
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||||||
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|
||||||
|
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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||||||
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||||||
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[More Information Needed]
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|
||||||
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### Results
|
||||||
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||||||
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[More Information Needed]
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||||||
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||||||
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#### Summary
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||||||
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||||||
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## Model Examination [optional]
|
||||||
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|
||||||
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<!-- Relevant interpretability work for the model goes here -->
|
||||||
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|
||||||
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[More Information Needed]
|
||||||
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|
||||||
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## Environmental Impact
|
||||||
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|
||||||
|
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||||
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|
||||||
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||||
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|
||||||
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- **Hardware Type:** [More Information Needed]
|
||||||
|
- **Hours used:** [More Information Needed]
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||||||
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- **Cloud Provider:** [More Information Needed]
|
||||||
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- **Compute Region:** [More Information Needed]
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||||||
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- **Carbon Emitted:** [More Information Needed]
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||||||
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|
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## Technical Specifications [optional]
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||||||
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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||||||
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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||||||
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|
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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||||||
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[More Information Needed]
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||||||
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**APA:**
|
||||||
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|
||||||
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[More Information Needed]
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||||||
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|
||||||
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## Glossary [optional]
|
||||||
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|
||||||
|
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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||||||
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|
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[More Information Needed]
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## More Information [optional]
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||||||
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[More Information Needed]
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||||||
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|
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## Model Card Authors [optional]
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||||||
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[More Information Needed]
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## Model Card Contact
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
|
### Framework versions
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||||||
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|
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- PEFT 0.18.1
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50
adapter/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": {
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"base_model_class": "LlamaForCausalLM",
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"parent_library": "transformers.models.llama.modeling_llama",
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"unsloth_fixed": true
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},
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"base_model_name_or_path": "Nanbeige/Nanbeige4.1-3B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 128,
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"lora_bias": false,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"up_proj",
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"gate_proj",
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"o_proj",
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"k_proj",
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"v_proj",
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"q_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter/adapter_model.safetensors
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adapter/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7983f9ec6827018eeffa27618229f4c6a1326ee107c8fbe2c268301afcb47e22
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size 455142376
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adapter/added_tokens.json
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{
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"</think>": 166104,
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"</tool_call>": 166106,
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"<think>": 166103,
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"<tool_call>": 166105,
|
||||||
|
"<|endoftext|>": 166102,
|
||||||
|
"<|im_end|>": 166101,
|
||||||
|
"<|im_start|>": 166100
|
||||||
|
}
|
||||||
137
adapter/chat_template.jinja
Normal file
137
adapter/chat_template.jinja
Normal file
@@ -0,0 +1,137 @@
|
|||||||
|
|
||||||
|
{%- if tools %}
|
||||||
|
{{- '<|im_start|>system
|
||||||
|
' }}
|
||||||
|
{%- if messages[0].role == 'system' %}
|
||||||
|
{{- messages[0].content + '
|
||||||
|
|
||||||
|
' }}
|
||||||
|
{%- else %}
|
||||||
|
{{- '你是一位工具函数调用专家，你会得到一个问题和一组可能的工具函数。根据问题，你需要进行一个或多个函数/工具调用以实现目的，请尽量尝试探索通过工具解决问题。
|
||||||
|
如果没有一个函数可以使用，请直接使用自然语言回复用户。
|
||||||
|
如果给定的问题缺少函数所需的参数，请使用自然语言进行提问，向用户询问必要信息。
|
||||||
|
如果调用结果已经足够回答用户问题，请对历史结果进行总结，使用自然语言回复用户。' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "# Tools
|
||||||
|
|
||||||
|
You may call one or more functions to assist with the user query.
|
||||||
|
|
||||||
|
You are provided with function signatures within <tools></tools> XML tags:
|
||||||
|
<tools>" }}
|
||||||
|
{%- for tool in tools %}
|
||||||
|
{{- "
|
||||||
|
" }}
|
||||||
|
{{- tool | tojson }}
|
||||||
|
{%- endfor %}
|
||||||
|
{{- "
|
||||||
|
</tools>
|
||||||
|
|
||||||
|
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
|
||||||
|
<tool_call>
|
||||||
|
{\"name\": <function-name>, \"arguments\": <args-json-object>}
|
||||||
|
</tool_call><|im_end|>
|
||||||
|
" }}
|
||||||
|
{%- else %}
|
||||||
|
{%- if messages[0].role == 'system' %}
|
||||||
|
{{- '<|im_start|>system
|
||||||
|
' + messages[0].content + '<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- else %}
|
||||||
|
{{- '<|im_start|>system
|
||||||
|
你是南北阁，一款由BOSS直聘自主研发并训练的专业大语言模型。<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||||
|
{%- for message in messages[::-1] %}
|
||||||
|
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||||
|
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||||
|
{%- set ns.multi_step_tool = false %}
|
||||||
|
{%- set ns.last_query_index = index %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- for message in messages %}
|
||||||
|
{%- if message.content is string %}
|
||||||
|
{%- set content = message.content %}
|
||||||
|
{%- else %}
|
||||||
|
{%- set content = '' %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
' + content + '<|im_end|>' + '
|
||||||
|
' }}
|
||||||
|
{%- elif message.role == "assistant" %}
|
||||||
|
{%- set reasoning_content = '' %}
|
||||||
|
{%- if message.reasoning_content is string %}
|
||||||
|
{%- set reasoning_content = message.reasoning_content %}
|
||||||
|
{%- else %}
|
||||||
|
{%- if '</think>' in content %}
|
||||||
|
{%- set reasoning_content = content.split('</think>')[0].rstrip('
|
||||||
|
').split('<think>')[-1].lstrip('
|
||||||
|
') %}
|
||||||
|
{%- set content = content.split('</think>')[-1].lstrip('
|
||||||
|
') %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if loop.index0 > ns.last_query_index or keep_all_think or (extra_body is defined and extra_body.keep_all_think) %}
|
||||||
|
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
<think>
|
||||||
|
' + reasoning_content.strip('
|
||||||
|
') + '
|
||||||
|
</think>
|
||||||
|
|
||||||
|
' + content.lstrip('
|
||||||
|
') }}
|
||||||
|
{%- else %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
' + content }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- else %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
' + content }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if message.tool_calls %}
|
||||||
|
{%- for tool_call in message.tool_calls %}
|
||||||
|
{%- if (loop.first and content) or (not loop.first) %}
|
||||||
|
{{- '
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if tool_call.function %}
|
||||||
|
{%- set tool_call = tool_call.function %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<tool_call>
|
||||||
|
{"name": "' }}
|
||||||
|
{{- tool_call.name }}
|
||||||
|
{{- '", "arguments": ' }}
|
||||||
|
{%- if tool_call.arguments is string %}
|
||||||
|
{{- tool_call.arguments }}
|
||||||
|
{%- else %}
|
||||||
|
{{- tool_call.arguments | tojson }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '}
|
||||||
|
</tool_call>' }}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- elif message.role == "tool" %}
|
||||||
|
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||||
|
{{- '<|im_start|>user' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '
|
||||||
|
<tool_response>
|
||||||
|
' }}
|
||||||
|
{{- content }}
|
||||||
|
{{- '
|
||||||
|
</tool_response>' }}
|
||||||
|
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||||
|
{{- '<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
33
adapter/special_tokens_map.json
Normal file
33
adapter/special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|endoftext|>"
|
||||||
|
],
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"unk_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
adapter/tokenizer.model
Normal file
3
adapter/tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:fb41d04798b714520a9b075727b0226538b7330254299062742c50ec8374bc36
|
||||||
|
size 2782298
|
||||||
103
adapter/tokenizer_config.json
Normal file
103
adapter/tokenizer_config.json
Normal file
@@ -0,0 +1,103 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": true,
|
||||||
|
"add_eos_token": false,
|
||||||
|
"add_prefix_space": true,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"0": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"1": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166100": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166101": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166102": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166103": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"166104": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"166105": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"166106": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|endoftext|>"
|
||||||
|
],
|
||||||
|
"bos_token": "<|im_start|>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"legacy": false,
|
||||||
|
"model_max_length": 262144,
|
||||||
|
"pad_token": "<unk>",
|
||||||
|
"padding_side": "left",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"spaces_between_special_tokens": false,
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": "<unk>",
|
||||||
|
"use_default_system_prompt": false
|
||||||
|
}
|
||||||
9
added_tokens.json
Normal file
9
added_tokens.json
Normal file
@@ -0,0 +1,9 @@
|
|||||||
|
{
|
||||||
|
"</think>": 166104,
|
||||||
|
"</tool_call>": 166106,
|
||||||
|
"<think>": 166103,
|
||||||
|
"<tool_call>": 166105,
|
||||||
|
"<|endoftext|>": 166102,
|
||||||
|
"<|im_end|>": 166101,
|
||||||
|
"<|im_start|>": 166100
|
||||||
|
}
|
||||||
@@ -0,0 +1,70 @@
|
|||||||
|
# Emberforge 3B Benchmark Comparison (Public + Local)
|
||||||
|
|
||||||
|
Generated: 2026-02-24
|
||||||
|
|
||||||
|
## 1) Your Finetuned Model (local lm-eval run)
|
||||||
|
Model: `strykes/emberforge-3b-reasoner`
|
||||||
|
|
||||||
|
| 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% |
|
||||||
|
|
||||||
|
## 2) Public Base Model (Nanbeige4.1-3B)
|
||||||
|
Model: `Nanbeige/Nanbeige4.1-3B` (author-reported benchmarks)
|
||||||
|
|
||||||
|
| Benchmark | Published Score |
|
||||||
|
|---|---:|
|
||||||
|
| Live-Code-Bench-V6 | 76.90% |
|
||||||
|
| AIME 2026 I | 87.40% |
|
||||||
|
| HMMT Nov | 77.92% |
|
||||||
|
| GPQA | 83.80% |
|
||||||
|
| HLE (Text-only) | 12.60% |
|
||||||
|
| Arena-Hard-v2 | 73.20% |
|
||||||
|
| BFCL-V4 | 56.50% |
|
||||||
|
| Tau2-Bench | 48.57% |
|
||||||
|
|
||||||
|
Note: Nanbeige published benchmarks do not overlap directly with your lm-eval task set (`mmlu`, `gsm8k`, `arc_challenge`, etc.), so no exact apples-to-apples delta can be computed without rerunning identical tasks.
|
||||||
|
|
||||||
|
## 3) Public Frontier Reference (Claude / GPT / Gemini) on overlapping classic tasks
|
||||||
|
Source benchmark table: Anthropic Claude 3 model card (March 2024).
|
||||||
|
|
||||||
|
| Benchmark | Your model | Claude 3 Opus | Claude 3 Sonnet | GPT-4 | Gemini 1.0 Ultra | Gemini 1.5 Pro |
|
||||||
|
|---|---:|---:|---:|---:|---:|---:|
|
||||||
|
| MMLU (5-shot) | 59.98% | 86.80% | 79.00% | 86.40% | 83.70% | 81.90% |
|
||||||
|
| GSM8K | 62.40% | 95.00% | 92.30% | 92.00% | 94.40% | 91.70% |
|
||||||
|
| ARC-Challenge (25-shot) | 31.74% | 96.40% | 93.20% | 96.30% | — | — |
|
||||||
|
| HellaSwag (10-shot) | 56.07% | 95.40% | 89.00% | 95.30% | 87.80% | 92.50% |
|
||||||
|
| WinoGrande (5-shot) | 50.04% | 88.50% | 75.10% | 87.50% | — | — |
|
||||||
|
|
||||||
|
## 4) Latest Frontier Snapshot (2025-2026, non-overlapping tasks)
|
||||||
|
Source benchmark table: Claude Opus 4.5 system card, Table 2.3.A.
|
||||||
|
|
||||||
|
| Benchmark | Claude Opus 4.5 | Claude Sonnet 4.5 | Claude Opus 4.1 | Gemini 3 Pro | GPT-5.1 |
|
||||||
|
|---|---:|---:|---:|---:|---:|
|
||||||
|
| SWE-bench Verified | 80.9% | 77.2% | 74.5% | 76.2% | 76.3% |
|
||||||
|
| Terminal-bench 2.0 | 59.3% | 50.0% | 46.5% | 54.2% | 47.6% |
|
||||||
|
| ARC-AGI-2 (Verified) | 37.6% | 13.6% | — | 31.1% | 17.6% |
|
||||||
|
| GPQA Diamond | 87.0% | 83.4% | 81.0% | 91.9% | 88.1% |
|
||||||
|
| MMMU (validation) | 80.7% | 77.8% | 77.1% | — | 85.4% |
|
||||||
|
| MMMLU | 90.8% | 89.1% | 89.5% | 91.8% | 91.0% |
|
||||||
|
|
||||||
|
Note: These are newer references but still not directly comparable to your current lm-eval task set.
|
||||||
|
|
||||||
|
## 5) Caveats
|
||||||
|
- Your run uses `lm-evaluation-harness` with specific settings; public model-card numbers may use different prompts, few-shot counts, decoding, or evaluation code.
|
||||||
|
- Frontier references in Section 3 are older than current 2026 generations but are official primary-source numbers on overlapping classic benchmarks.
|
||||||
|
- Frontier references in Section 4 are current (2025-2026) but mostly on different benchmarks.
|
||||||
|
|
||||||
|
## Sources
|
||||||
|
- Local run artifact: `/workspace/evals/main_results_v3.json/strykes__emberforge-3b-reasoner/results_2026-02-24T00-06-21.474293.json`
|
||||||
|
- Nanbeige model card: https://huggingface.co/Nanbeige/Nanbeige4.1-3B
|
||||||
|
- Anthropic Claude 3 model card (benchmarks table): https://www-cdn.anthropic.com/c6a80a657af445f40e31afac050f3bf76d3b1404.pdf
|
||||||
|
- Anthropic model cards index: https://www.anthropic.com/system-cards
|
||||||
|
- Anthropic Claude Opus 4.5 system card: https://www-cdn.anthropic.com/bf10f64990cfda0ba858290be7b8cc6317685f47.pdf
|
||||||
File diff suppressed because one or more lines are too long
426
benchmarks/lm-eval-2026-02-24/run_v3.log
Normal file
426
benchmarks/lm-eval-2026-02-24/run_v3.log
Normal file
File diff suppressed because one or more lines are too long
70
benchmarks/lm-eval-2026-02-24/summary_v3.tsv
Normal file
70
benchmarks/lm-eval-2026-02-24/summary_v3.tsv
Normal file
@@ -0,0 +1,70 @@
|
|||||||
|
task metric value
|
||||||
|
arc_challenge acc_norm,none 0.3174061433447099
|
||||||
|
boolq acc,none 0.7437308868501529
|
||||||
|
gsm8k exact_match,flexible-extract 0.6239575435936315
|
||||||
|
hellaswag acc_norm,none 0.560744871539534
|
||||||
|
mmlu acc,none 0.5997721122347244
|
||||||
|
mmlu_abstract_algebra acc,none 0.43
|
||||||
|
mmlu_anatomy acc,none 0.6074074074074074
|
||||||
|
mmlu_astronomy acc,none 0.6973684210526315
|
||||||
|
mmlu_business_ethics acc,none 0.62
|
||||||
|
mmlu_clinical_knowledge acc,none 0.6415094339622641
|
||||||
|
mmlu_college_biology acc,none 0.8263888888888888
|
||||||
|
mmlu_college_chemistry acc,none 0.53
|
||||||
|
mmlu_college_computer_science acc,none 0.54
|
||||||
|
mmlu_college_mathematics acc,none 0.5
|
||||||
|
mmlu_college_medicine acc,none 0.5953757225433526
|
||||||
|
mmlu_college_physics acc,none 0.5
|
||||||
|
mmlu_computer_security acc,none 0.68
|
||||||
|
mmlu_conceptual_physics acc,none 0.5872340425531914
|
||||||
|
mmlu_econometrics acc,none 0.35964912280701755
|
||||||
|
mmlu_electrical_engineering acc,none 0.6413793103448275
|
||||||
|
mmlu_elementary_mathematics acc,none 0.5317460317460317
|
||||||
|
mmlu_formal_logic acc,none 0.5
|
||||||
|
mmlu_global_facts acc,none 0.33
|
||||||
|
mmlu_high_school_biology acc,none 0.7548387096774194
|
||||||
|
mmlu_high_school_chemistry acc,none 0.6009852216748769
|
||||||
|
mmlu_high_school_computer_science acc,none 0.69
|
||||||
|
mmlu_high_school_european_history acc,none 0.7696969696969697
|
||||||
|
mmlu_high_school_geography acc,none 0.7272727272727273
|
||||||
|
mmlu_high_school_government_and_politics acc,none 0.7461139896373057
|
||||||
|
mmlu_high_school_macroeconomics acc,none 0.6435897435897436
|
||||||
|
mmlu_high_school_mathematics acc,none 0.45555555555555555
|
||||||
|
mmlu_high_school_microeconomics acc,none 0.7773109243697479
|
||||||
|
mmlu_high_school_physics acc,none 0.5165562913907285
|
||||||
|
mmlu_high_school_psychology acc,none 0.8
|
||||||
|
mmlu_high_school_statistics acc,none 0.5694444444444444
|
||||||
|
mmlu_high_school_us_history acc,none 0.7156862745098039
|
||||||
|
mmlu_high_school_world_history acc,none 0.7974683544303798
|
||||||
|
mmlu_human_aging acc,none 0.600896860986547
|
||||||
|
mmlu_human_sexuality acc,none 0.6946564885496184
|
||||||
|
mmlu_humanities acc,none 0.5300743889479277
|
||||||
|
mmlu_international_law acc,none 0.7851239669421488
|
||||||
|
mmlu_jurisprudence acc,none 0.7222222222222222
|
||||||
|
mmlu_logical_fallacies acc,none 0.6932515337423313
|
||||||
|
mmlu_machine_learning acc,none 0.42857142857142855
|
||||||
|
mmlu_management acc,none 0.6893203883495146
|
||||||
|
mmlu_marketing acc,none 0.8034188034188035
|
||||||
|
mmlu_medical_genetics acc,none 0.69
|
||||||
|
mmlu_miscellaneous acc,none 0.6717752234993615
|
||||||
|
mmlu_moral_disputes acc,none 0.5953757225433526
|
||||||
|
mmlu_moral_scenarios acc,none 0.2446927374301676
|
||||||
|
mmlu_nutrition acc,none 0.6764705882352942
|
||||||
|
mmlu_other acc,none 0.6269713550048278
|
||||||
|
mmlu_philosophy acc,none 0.6559485530546624
|
||||||
|
mmlu_prehistory acc,none 0.6265432098765432
|
||||||
|
mmlu_professional_accounting acc,none 0.4397163120567376
|
||||||
|
mmlu_professional_law acc,none 0.4745762711864407
|
||||||
|
mmlu_professional_medicine acc,none 0.6838235294117647
|
||||||
|
mmlu_professional_psychology acc,none 0.5915032679738562
|
||||||
|
mmlu_public_relations acc,none 0.6
|
||||||
|
mmlu_security_studies acc,none 0.7020408163265306
|
||||||
|
mmlu_social_sciences acc,none 0.6906077348066298
|
||||||
|
mmlu_sociology acc,none 0.7711442786069652
|
||||||
|
mmlu_stem acc,none 0.5883285759594037
|
||||||
|
mmlu_us_foreign_policy acc,none 0.78
|
||||||
|
mmlu_virology acc,none 0.45180722891566266
|
||||||
|
mmlu_world_religions acc,none 0.7192982456140351
|
||||||
|
piqa acc_norm,none 0.6322089227421109
|
||||||
|
truthfulqa_mc2 acc,none 0.45340473177307805
|
||||||
|
winogrande acc,none 0.500394632991318
|
||||||
|
137
chat_template.jinja
Normal file
137
chat_template.jinja
Normal file
@@ -0,0 +1,137 @@
|
|||||||
|
|
||||||
|
{%- if tools %}
|
||||||
|
{{- '<|im_start|>system
|
||||||
|
' }}
|
||||||
|
{%- if messages[0].role == 'system' %}
|
||||||
|
{{- messages[0].content + '
|
||||||
|
|
||||||
|
' }}
|
||||||
|
{%- else %}
|
||||||
|
{{- '你是一位工具函数调用专家，你会得到一个问题和一组可能的工具函数。根据问题，你需要进行一个或多个函数/工具调用以实现目的，请尽量尝试探索通过工具解决问题。
|
||||||
|
如果没有一个函数可以使用，请直接使用自然语言回复用户。
|
||||||
|
如果给定的问题缺少函数所需的参数，请使用自然语言进行提问，向用户询问必要信息。
|
||||||
|
如果调用结果已经足够回答用户问题，请对历史结果进行总结，使用自然语言回复用户。' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "# Tools
|
||||||
|
|
||||||
|
You may call one or more functions to assist with the user query.
|
||||||
|
|
||||||
|
You are provided with function signatures within <tools></tools> XML tags:
|
||||||
|
<tools>" }}
|
||||||
|
{%- for tool in tools %}
|
||||||
|
{{- "
|
||||||
|
" }}
|
||||||
|
{{- tool | tojson }}
|
||||||
|
{%- endfor %}
|
||||||
|
{{- "
|
||||||
|
</tools>
|
||||||
|
|
||||||
|
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
|
||||||
|
<tool_call>
|
||||||
|
{\"name\": <function-name>, \"arguments\": <args-json-object>}
|
||||||
|
</tool_call><|im_end|>
|
||||||
|
" }}
|
||||||
|
{%- else %}
|
||||||
|
{%- if messages[0].role == 'system' %}
|
||||||
|
{{- '<|im_start|>system
|
||||||
|
' + messages[0].content + '<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- else %}
|
||||||
|
{{- '<|im_start|>system
|
||||||
|
你是南北阁，一款由BOSS直聘自主研发并训练的专业大语言模型。<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||||
|
{%- for message in messages[::-1] %}
|
||||||
|
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||||
|
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||||
|
{%- set ns.multi_step_tool = false %}
|
||||||
|
{%- set ns.last_query_index = index %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- for message in messages %}
|
||||||
|
{%- if message.content is string %}
|
||||||
|
{%- set content = message.content %}
|
||||||
|
{%- else %}
|
||||||
|
{%- set content = '' %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
' + content + '<|im_end|>' + '
|
||||||
|
' }}
|
||||||
|
{%- elif message.role == "assistant" %}
|
||||||
|
{%- set reasoning_content = '' %}
|
||||||
|
{%- if message.reasoning_content is string %}
|
||||||
|
{%- set reasoning_content = message.reasoning_content %}
|
||||||
|
{%- else %}
|
||||||
|
{%- if '</think>' in content %}
|
||||||
|
{%- set reasoning_content = content.split('</think>')[0].rstrip('
|
||||||
|
').split('<think>')[-1].lstrip('
|
||||||
|
') %}
|
||||||
|
{%- set content = content.split('</think>')[-1].lstrip('
|
||||||
|
') %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if loop.index0 > ns.last_query_index or keep_all_think or (extra_body is defined and extra_body.keep_all_think) %}
|
||||||
|
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
<think>
|
||||||
|
' + reasoning_content.strip('
|
||||||
|
') + '
|
||||||
|
</think>
|
||||||
|
|
||||||
|
' + content.lstrip('
|
||||||
|
') }}
|
||||||
|
{%- else %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
' + content }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- else %}
|
||||||
|
{{- '<|im_start|>' + message.role + '
|
||||||
|
' + content }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if message.tool_calls %}
|
||||||
|
{%- for tool_call in message.tool_calls %}
|
||||||
|
{%- if (loop.first and content) or (not loop.first) %}
|
||||||
|
{{- '
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if tool_call.function %}
|
||||||
|
{%- set tool_call = tool_call.function %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<tool_call>
|
||||||
|
{"name": "' }}
|
||||||
|
{{- tool_call.name }}
|
||||||
|
{{- '", "arguments": ' }}
|
||||||
|
{%- if tool_call.arguments is string %}
|
||||||
|
{{- tool_call.arguments }}
|
||||||
|
{%- else %}
|
||||||
|
{{- tool_call.arguments | tojson }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '}
|
||||||
|
</tool_call>' }}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- elif message.role == "tool" %}
|
||||||
|
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||||
|
{{- '<|im_start|>user' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '
|
||||||
|
<tool_response>
|
||||||
|
' }}
|
||||||
|
{{- content }}
|
||||||
|
{{- '
|
||||||
|
</tool_response>' }}
|
||||||
|
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||||
|
{{- '<|im_end|>
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant
|
||||||
|
' }}
|
||||||
|
{%- endif %}
|
||||||
32
config.json
Normal file
32
config.json
Normal file
@@ -0,0 +1,32 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"LlamaForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 166100,
|
||||||
|
"dtype": "float16",
|
||||||
|
"embd_pdrop": 0.0,
|
||||||
|
"eos_token_id": 166101,
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 2560,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 10496,
|
||||||
|
"max_position_embeddings": 262144,
|
||||||
|
"mlp_bias": false,
|
||||||
|
"model_type": "llama",
|
||||||
|
"num_attention_heads": 20,
|
||||||
|
"num_hidden_layers": 32,
|
||||||
|
"num_key_value_heads": 4,
|
||||||
|
"pad_token_id": 0,
|
||||||
|
"pretraining_tp": 1,
|
||||||
|
"resid_pdrop": 0.0,
|
||||||
|
"rms_norm_eps": 1e-05,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 70000000,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"transformers_version": "4.57.6",
|
||||||
|
"use_cache": true,
|
||||||
|
"vocab_size": 166144
|
||||||
|
}
|
||||||
7
generation_config.json
Normal file
7
generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 166100,
|
||||||
|
"eos_token_id": 166101,
|
||||||
|
"pad_token_id": 0,
|
||||||
|
"transformers_version": "4.57.6"
|
||||||
|
}
|
||||||
3
gguf/Nanbeige4.1-3B-Q4_K_M.gguf
Normal file
3
gguf/Nanbeige4.1-3B-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:4a5a2f9028a7ff9959b5cc08fc01228ff67b9c7d0ddaa41c086acd3c43e4210b
|
||||||
|
size 2443112064
|
||||||
3
gguf/Nanbeige4.1-3B-Q5_K_M.gguf
Normal file
3
gguf/Nanbeige4.1-3B-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:171f542b60aac86574aec155af15d036e4ca4d8c44f74d42eab770d17af19339
|
||||||
|
size 2825268864
|
||||||
3
gguf/Nanbeige4.1-3B-f16.gguf
Normal file
3
gguf/Nanbeige4.1-3B-f16.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:113fea20515ed173bda89873e8dc81a24839872c5ad4d06cbbb477afabe24006
|
||||||
|
size 7871576704
|
||||||
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:7ac64308cdbf331f061103bf29939acb3d8718f238f75903706de5ddae9fd16b
|
||||||
|
size 4982284224
|
||||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:25ad3c5f1e8f149f0cf17555f2850072f0bbef27e4554f7cf4d26fc7931f3673
|
||||||
|
size 2885023544
|
||||||
299
model.safetensors.index.json
Normal file
299
model.safetensors.index.json
Normal file
@@ -0,0 +1,299 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_parameters": 3933637120,
|
||||||
|
"total_size": 7867274240
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"lm_head.weight": "model-00002-of-00002.safetensors",
|
||||||
|
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
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|
||||||
|
}
|
||||||
|
}
|
||||||
33
special_tokens_map.json
Normal file
33
special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|endoftext|>"
|
||||||
|
],
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:1d8f0326910136aca20831249220b38ce5299527647bc8c6b65404485c479740
|
||||||
|
size 18451122
|
||||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:fb41d04798b714520a9b075727b0226538b7330254299062742c50ec8374bc36
|
||||||
|
size 2782298
|
||||||
102
tokenizer_config.json
Normal file
102
tokenizer_config.json
Normal file
@@ -0,0 +1,102 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": true,
|
||||||
|
"add_eos_token": false,
|
||||||
|
"add_prefix_space": true,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"0": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"1": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"content": "</s>",
|
||||||
|
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|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166100": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166101": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166102": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"166103": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"166104": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
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|
||||||
|
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|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"166105": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
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|
||||||
|
"normalized": true,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"166106": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
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|
||||||
|
],
|
||||||
|
"bos_token": "<|im_start|>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"legacy": true,
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": "<unk>",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"spaces_between_special_tokens": false,
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": "<unk>",
|
||||||
|
"use_default_system_prompt": false
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user