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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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gguf/Nanbeige4.1-3B-f16.gguf filter=lfs diff=lfs merge=lfs -text
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76
README.md
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76
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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|
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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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|
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### Public references
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||||
|
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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
|
||||
|
||||
- `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`
|
||||
- `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).
|
||||
|
||||
210
adapter/README.md
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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:
|
||||
- base_model:adapter:Nanbeige/Nanbeige4.1-3B
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||||
- lora
|
||||
- sft
|
||||
- transformers
|
||||
- trl
|
||||
- unsloth
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- 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. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
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).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.18.1
|
||||
50
adapter/adapter_config.json
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50
adapter/adapter_config.json
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||||
{
|
||||
"alora_invocation_tokens": null,
|
||||
"alpha_pattern": {},
|
||||
"arrow_config": null,
|
||||
"auto_mapping": {
|
||||
"base_model_class": "LlamaForCausalLM",
|
||||
"parent_library": "transformers.models.llama.modeling_llama",
|
||||
"unsloth_fixed": true
|
||||
},
|
||||
"base_model_name_or_path": "Nanbeige/Nanbeige4.1-3B",
|
||||
"bias": "none",
|
||||
"corda_config": null,
|
||||
"ensure_weight_tying": false,
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 128,
|
||||
"lora_bias": false,
|
||||
"lora_dropout": 0,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"peft_version": "0.18.1",
|
||||
"qalora_group_size": 16,
|
||||
"r": 64,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"down_proj",
|
||||
"up_proj",
|
||||
"gate_proj",
|
||||
"o_proj",
|
||||
"k_proj",
|
||||
"v_proj",
|
||||
"q_proj"
|
||||
],
|
||||
"target_parameters": null,
|
||||
"task_type": "CAUSAL_LM",
|
||||
"trainable_token_indices": null,
|
||||
"use_dora": false,
|
||||
"use_qalora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
3
adapter/adapter_model.safetensors
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3
adapter/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7983f9ec6827018eeffa27618229f4c6a1326ee107c8fbe2c268301afcb47e22
|
||||
size 455142376
|
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9
adapter/added_tokens.json
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9
adapter/added_tokens.json
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||||
{
|
||||
"</think>": 166104,
|
||||
"</tool_call>": 166106,
|
||||
"<think>": 166103,
|
||||
"<tool_call>": 166105,
|
||||
"<|endoftext|>": 166102,
|
||||
"<|im_end|>": 166101,
|
||||
"<|im_start|>": 166100
|
||||
}
|
||||
137
adapter/chat_template.jinja
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137
adapter/chat_template.jinja
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|
||||
{%- 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",
|
||||
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|
||||
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|
||||
"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",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
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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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|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
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|
||||
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|
||||
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|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
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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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|
||||
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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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33
special_tokens_map.json
Normal file
33
special_tokens_map.json
Normal file
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|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
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version https://git-lfs.github.com/spec/v1
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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>",
|
||||
"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": 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