commit 7d2ff519b44a85913b344a1a0eb03178625b5bb9 Author: ModelHub XC Date: Mon Jun 8 10:27:17 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: trillionlabs/Tri-7B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..21b3632 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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+ + Tri-7B + +

+ +# Tri-7B + +## Introduction + +We introduce **Tri-7B**, the next generation model following Trillion-7B-preview, that continues to push the boundaries of efficient training while achieving exceptional performance at the 7B parameter scale. + + +

+Average Performance vs. Approximate Training FLOPs +

+ + +### Key Highlights +* **Enhanced Reasoning**: Modified training dataset mixture specifically optimized for reasoning capabilities +* **Advanced Post-Training**: Significantly improved RL training pipeline focusing on mathematical reasoning and everyday usage +* **Extended Context**: Supports up to 32K context length for long-form understanding +* **Multi-lingual**: Specially optimized for Korean, English, and Japanese. + +Our **Tri-7B** model represents a significant advancement over Trillion-7B-preview, achieving substantial performance improvements across all evaluated domains while maintaining the same efficient parameter count. + +### Model Specifications + +#### Tri-7B +- Type: Causal Language Model +- Training Stage: Pre-training & Post-training +- Architecture: Transformer Decoder with RoPE, SwiGLU, RMSNorm +- Number of Parameters: 7.76B +- Number of Layers: 32 +- Number of Attention Heads: 32 +- Context Length: 32,768 +- Vocab Size: 128,256 + + +## Quickstart + +Here is a code snippet with `apply_chat_template` that demonstrates how to load the tokenizer and model and generate text. + +### Tri-7B Usage +```python +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_name = "trillionlabs/Tri-7B" + +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype=torch.bfloat16, + device_map="auto" +) +tokenizer = AutoTokenizer.from_pretrained(model_name) + +prompt = "Explain the concept of quantum computing in simple terms." +messages = [ + {"role": "user", "content": prompt} +] +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True +) +model_inputs = tokenizer([text], return_tensors="pt").to(model.device) + +generated_ids = model.generate( + **model_inputs, + max_new_tokens=512 +) +generated_ids = [ + output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) +] + +response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] +print(response) +``` + +Tri-7B is also available with vLLM and SGLang! + +```bash +# vLLM +vllm serve trillionlabs/Tri-7B --dtype bfloat16 --max-model-len 32768 + +# vLLM with custom options +vllm serve trillionlabs/Tri-7B \ + --dtype bfloat16 \ + --max-model-len 32768 \ + --gpu-memory-utilization 0.95 \ + --port 8000 +``` + +```bash +# SGLang +python3 -m sglang.launch_server --model-path trillionlabs/Tri-7B --dtype bfloat16 + +# SGLang with custom options +python3 -m sglang.launch_server \ + --model-path trillionlabs/Tri-7B \ + --dtype bfloat16 \ + --context-length 32768 \ + --port 30000 \ + --host 0.0.0.0 +``` + +## Evaluation + +We evaluated Tri-7B across a comprehensive suite of benchmarks assessing general reasoning, knowledge recall, coding abilities, mathematical reasoning, and instruction-following capabilities. Compared to our previous generation model Trillion-7B-preview, Tri-7B achieves significant gains across all domains. + +
+ Full evaluation settings + +| Benchmark | Language | Evaluation Setting | Metric | +|:----------|:---------|:------------------|:-------| +| **General Reasoning and Factuality** | | | | +| • HellaSwag | English | 0-shot | accuracy | +| • ARC:C | English | 0-shot | accuracy | +| • HAERAE | Korean | 3-shot | accuracy | +| • CLIcK | Korean | 0-shot | accuracy | +| • KoBEST | Korean | 5-shot | accuracy | +| **Knowledge and Reasoning** | | | | +| • KMMLU | Korean | 5-shot (0-shot, CoT) | accuracy | +| • MMLU | English | 5-shot (0-shot, CoT) | accuracy | +| • Global-MMLU-Lite-ja | English | 5-shot | accuracy | +| **Coding** | | | | +| • HumanEval | English | 0-shot | pass@1 | +| • MBPPPlus | English | 0-shot | pass@1 | +| **Mathematical Reasoning** | | | | +| • GSM8k | English | 0-shot, CoT | exact-match | +| • MATH | English | 0-shot, CoT | exact-match | +| • GPQA | English | 4-shot | accuracy | +| • HRM8k | Korean | 0-shot, CoT | exact-match | +| **Instruction Following and Chat** | | | | +| • IFEval | English | 0-shot | strict-average | +| • koIFEval | Korean | 0-shot | strict-average | +| • MT-Bench | English | LLM-as-a-judge (gpt-4o) | LLM score | +| • KO-MT-Bench | Korean | LLM-as-a-judge (gpt-4o) | LLM score | +| • systemIFEval | English | 0-shot | strict-average | + +- *Note that koIFEval, systemIFEval, and KoRuler are our in-house evaluation benchmarks adapted for Korean to better assess model capabilities in Korean language tasks. +- **Note that MT-Bench, KO-MT-Bench, and LogicKor use a 10-point scale. + +
+ +### Benchmark Results + +Models compared: +- **Tri-7B** (Next Generation) +- **Trillion-7B-preview** (Previous Generation) + +### General Reasoning and Factuality + +| Benchmark | Tri-7B | Trillion-7B-preview | Improvement | +| --- | --- | --- | --- | +| HellaSwag | 59.52 | 58.94 | +0.58 | +| ARC:C | 58.28 | 54.44 | +3.84 | +| HAERAE | 82.49 | 80.02 | +2.47 | +| KoBEST | 82.72 | 79.61 | +3.11 | +| CLIcK | 64.43 | 60.41 | +4.02 | +| KMMLU | 51.74 (53.51) | 48.09 | +3.65 | +| MMLU | 68.16 (74.67) | 63.52 | +4.64 | +| Global-MMLU-Lite-ja | 59.25 | 60.75 | -1.50 | + + +### Coding + +| Benchmark | Tri-7B | Trillion-7B-preview | Improvement | +| --- | --- | --- | --- | +| HumanEval | 53.66 | 55.48 | -1.82 | +| MBPPPlus | 64.29 | 58.99 | +5.30 | + +### Mathematical Reasoning + +| Benchmark | Tri-7B | Trillion-7B-preview | Improvement | +| --- | --- | --- | --- | +| GSM8k | 77.94 | 72.25 | +5.69 | +| MATH | 49.40 | 32.70 | +16.70 | +| GPQA | 34.15 | 32.81 | +1.34 | +| HRM8k | 39.08 | 30.10 | +8.98 | + +### Instruction Following and Chat + +| Benchmark | Tri-7B | Trillion-7B-preview | Improvement | +| --- | --- | --- | --- | +| IFEval | 79.26 | 79.13 | +0.13 | +| koIFEval | 76.63 | 66.58 | +10.05 | +| MT-Bench | 7.82 | 6.53 | +1.29 | +| KO-MT-Bench | 7.64 | 6.27 | +1.37 | +| systemIFEval | 66.43 | 27.28 | +39.15 | + +## Limitations + +- Language Support: The model is optimized for English, Korean, and Japanese. Usage with other languages may result in degraded performance. +- Knowledge Cutoff: The model's information is limited to data available up to Febuary, 2025. + +## License +This model is licensed under the Apache License 2.0. + + +## Contact +For inquiries, please contact: info@trillionlabs.co \ No newline at end of file diff --git a/assets/Signiture_Black_White_BG_resized.jpg b/assets/Signiture_Black_White_BG_resized.jpg new file mode 100644 index 0000000..46ecd23 Binary files /dev/null and b/assets/Signiture_Black_White_BG_resized.jpg differ diff --git a/assets/Signiture_Trillion_BlackBG.png b/assets/Signiture_Trillion_BlackBG.png new file mode 100644 index 0000000..50e67d4 Binary files /dev/null and b/assets/Signiture_Trillion_BlackBG.png differ diff --git a/assets/Signiture_Trillion_WhiteBG.png b/assets/Signiture_Trillion_WhiteBG.png new file mode 100644 index 0000000..6ed08eb Binary files /dev/null and b/assets/Signiture_Trillion_WhiteBG.png differ diff --git a/assets/Tri-7B.png b/assets/Tri-7B.png new file mode 100644 index 0000000..9644cd8 Binary files /dev/null and b/assets/Tri-7B.png differ diff --git a/assets/pareto-tri.png b/assets/pareto-tri.png new file mode 100644 index 0000000..518fe0d Binary files /dev/null and b/assets/pareto-tri.png differ diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..5a01779 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,83 @@ +{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %} +{%- if tools %} + {{- '<|im_start|>system +' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Trillion, created by TrillionLabs. You are a helpful assistant.' }} + {%- endif %} + {{- " +# Tools +You may call one or more functions to assist with the user query. +You are provided with function signatures within XML tags: +" }} + {%- for tool in tools %} + {{- " +" }} + {{- tool | tojson }} + {%- endfor %} + {{- ' + +For each function call, return a json object with function name and arguments within XML tags: + +{"name": , "arguments": } +<|im_end|> +' }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system +' + messages[0]['content'] + '<|im_end|> +' }} + {%- else %} + {{- '<|im_start|>system +You are Trillion, created by TrillionLabs. You are a helpful assistant.<|im_end|> +' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + ' +' + message.content + '<|im_end|>' + ' +' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- ' +' + message.content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- ' + +' }} + {%- if tool_call is mapping %} + {{- '{"name": "' + tool_call.name + '", "arguments": ' + tool_call.arguments | tojson + '}' -}} + {% else %} + {{- tool_call }} + {%- endif %} + {{- ' +' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|> +' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>tool' }} + {%- endif %} + {{- ' +' + message.content }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|> +' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant +' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..0f8d513 --- /dev/null +++ b/config.json @@ -0,0 +1,30 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 0, + "eos_token_id": 128001, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 32768, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + "pad_token_id": 128004, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 100000.0, + 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