commit 12fdfce55d34b0bf2e418e99233a43122b6c602e Author: ModelHub XC Date: Wed Sep 9 13:58:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: veyra-ai/Veyra2-Mango-30M-Base Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt 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 +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz 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 +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl 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 +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* 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 +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..9d19438 --- /dev/null +++ b/README.md @@ -0,0 +1,322 @@ +--- +language: +- en +license: apache-2.0 +library_name: transformers +pipeline_tag: text-generation +tags: +- causal-lm +- base-model +- transformers +- safetensors +- veyra +- small-language-model +model-index: +- name: Veyra2-Mango-30M-Base + results: + - task: + type: text-generation + name: Text Generation + dataset: + name: SciCloze-900 + type: veyra-ai/SciCloze-900 + metrics: + - name: Accuracy + type: accuracy + value: 42.44 + source: + name: Local evaluation + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: SciQ + type: sciq + metrics: + - name: Accuracy + type: accuracy + value: 65.10 + - name: Normalized Accuracy + type: acc_norm + value: 58.30 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: PIQA + type: piqa + metrics: + - name: Normalized Accuracy + type: acc_norm + value: 59.52 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: ARC-Easy + type: ai2_arc + config: ARC-Easy + metrics: + - name: Normalized Accuracy + type: acc_norm + value: 37.88 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: ARC-Challenge + type: ai2_arc + config: ARC-Challenge + metrics: + - name: Normalized Accuracy + type: acc_norm + value: 23.29 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: HellaSwag + type: hellaswag + metrics: + - name: Normalized Accuracy + type: acc_norm + value: 28.76 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: Winogrande + type: winogrande + metrics: + - name: Accuracy + type: accuracy + value: 49.33 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: OpenBookQA + type: openbookqa + metrics: + - name: Accuracy + type: accuracy + value: 14.80 + - name: Normalized Accuracy + type: acc_norm + value: 27.20 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: question-answering + name: Question Answering + dataset: + name: BoolQ + type: boolq + metrics: + - name: Accuracy + type: accuracy + value: 42.81 + source: + name: Local lm-evaluation-harness + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: ArithMark-2.0 + type: AxiomicLabs/ArithMark-2.0 + split: train + metrics: + - name: Accuracy + type: accuracy + value: 27.96 + source: + name: Local evaluation + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base + + - task: + type: multiple-choice + name: Multiple Choice + dataset: + name: ArithMark-3.0 + type: AxiomicLabs/Arithmark-3.0 + split: train + metrics: + - name: Accuracy + type: accuracy + value: 36.90 + source: + name: Local evaluation + url: https://huggingface.co/veyra-ai/Veyra2-Mango-30M-Base +--- + +![Veyra Banner](https://cdn-uploads.huggingface.co/production/uploads/6857f2cfae68b377f17aff8c/MfZTOclKIpOM1RbUlnfcr.jpeg) + +# Veyra2-Mango-30M-Base + +Veyra2-Mango-30M-Base is a 30.7M-parameter Llama-like causal language model trained from scratch on approximately 30B tokens. It is a raw base model, not an instruction-tuned assistant. It is intended for research, benchmarking, continued pretraining, and small-model experimentation. + +## Model Details + +| Property | Value | +| :--- | :--- | +| **Parameters** | 30,683,520 | +| **Architecture** | LlamaForCausalLM | +| **Layers** | 16 | +| **Hidden size** | 384 | +| **Attention heads** | 6 | +| **KV heads** | 2 | +| **Head dim** | 64 | +| **Intermediate size** | 1152 | +| **Vocabulary size** | 8192 | +| **Context length used in training** | 3072 | +| **Activation** | SwiGLU / SiLU | +| **Normalization** | RMSNorm | +| **Attention** | GQA | +| **Positional encoding** | RoPE | +| **Weight tying** | Tied input embeddings and LM head | +| **Training tokens** | Approximately 30B | +| **Training precision** | bfloat16 | +| **Optimizer** | AdamW | + +## Tokenizer + +Special tokens: + +- `<|endoftext|>`: 0 +- `<|im_start|>`: 1 +- `<|im_end|>`: 2 +- `<|pad|>`: 3 + +## Training Data + +The model was trained on a 30B-token pretraining mixture. + +Stage 1 18,000,000,000 tokens 180 shards + +Mixture: + + dclm_baseline: 50% + finephrase: 20% + cosmopedia_v2: 10% + finemath_4plus: 10% + ultrafineweb_multistyle: 5% + ultrafineweb_qa: 5% + +Stage 1.5 4,000,000,000 tokens 40 shards + +This stage linearly transitions from the Stage 1 mixture to the Stage 2 mixture. + +Stage 2 8,000,000,000 tokens 80 shards + +Mixture: + + finephrase: 30% + dclm_baseline: 30% + cosmopedia_v2: 18% + finemath_4plus: 10% + ultrafineweb_multistyle: 5% + ultrafineweb_qa: 5% + ultrachat: 2% + +## Training Summary + +- Final step: 25,432 +- Tokens seen: 30,000,000,000 +- Tokens per step: 1,179,648 +- Sequence length: 3072 +- Last train loss: 2.5062 + +## Usage + +
import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "veyra-ai/Veyra2-Mango-30M-Base"
+
+tokenizer = AutoTokenizer.from_pretrained(
+    model_id,
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+prompt = "In the 19th century"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+with torch.no_grad():
+    output = model.generate(
+        **inputs,
+        max_new_tokens=120,
+        do_sample=True,
+        temperature=0.6,
+        top_p=0.9,
+        repetition_penalty=1.1,
+        use_cache=True,
+        pad_token_id=tokenizer.pad_token_id,
+        eos_token_id=tokenizer.eos_token_id,
+    )
+
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+
+ +## Notes on Generation + +Veyra2-Mango-30M-Base is a raw base model. It is not instruction tuned and should not be expected to behave like a chat assistant. +Open-ended generations can be unstable, repetitive, or factually unreliable. It's not a polished assistant. + +## Intended Use + +This model is intended for: + +- small language model research +- continued pretraining +- benchmarking +- experimentation with compact causal LMs + +## Limitations + +- Not instruction tuned +- Not RLHF tuned +- Not safe for factual or high-stakes use without additional validation +- Can hallucinate names, citations, species, references, and technical claims +- Open-ended text may drift off-topic +- Context length during training was 3072 tokens + +## Citation + +If you use this model, please cite the model repository: + +`veyra-ai/Veyra2-Mango-30M-Base` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..9f04149 --- /dev/null +++ b/config.json @@ -0,0 +1,30 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 0, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 384, + "initializer_range": 0.02, + "intermediate_size": 1152, + "max_position_embeddings": 4096, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 6, + "num_hidden_layers": 16, + "num_key_value_heads": 2, + "pad_token_id": 3, + "pretraining_tp": 1, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 10000.0, + "tie_word_embeddings": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 8192 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..cbdc5c6 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,6 @@ +{ + "_from_model_config": true, + "eos_token_id": 0, + "pad_token_id": 3, + "transformers_version": "4.56.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..0e77f83 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:959ffb956460c6a3c6fb92fc6d39c31028d7446f303d2e403a68824b63c67ce2 +size 61383136 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..e15f8f0 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,20 @@ +{ + "additional_special_tokens": [ + "<|im_start|>", + "<|im_end|>" + ], + "eos_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<|pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..b971642 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,40000 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "<|im_start|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "<|im_end|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 3, + "content": "<|pad|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "Sequence", + "pretokenizers": [ + { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": true + }, + { + "type": "Digits", + "individual_digits": true + } + ] + }, + "post_processor": null, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + 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