DedeProGames/Kiyo-135M
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: DedeProGames/Kiyo-135M
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-03 06:42:18 +08:00
commit 65a872f629
9 changed files with 98681 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

35
.gitattributes vendored Normal file
View File

@@ -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

146
README.md Normal file
View File

@@ -0,0 +1,146 @@
---
license: apache-2.0
datasets:
- HuggingFaceFW/fineweb-edu
- mlfoundations/dclm-baseline-1.0
- HuggingFaceTB/finemath
- HuggingFaceCode/stack-v3-train
language:
- en
pipeline_tag: text-generation
library_name: transformers
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- causal-lm
- language-model
- base-model
- llama
- smollm
- pytorch
---
# Kiyo-135M
Kiyo-135M is a decoder-only language model pretrained from scratch on 200B tokens drawn from [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu), [DCLM-Baseline](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0), [FineMath](https://huggingface.co/datasets/HuggingFaceTB/finemath), and [Stack-v3-train](https://huggingface.co/datasets/HuggingFaceCode/stack-v3-train).
The model follows the [SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) architecture: a Llama-style decoder with grouped query attention, RMSNorm, SwiGLU MLPs, and tied input/output embeddings. SmolLM2 was chosen as a base architecture because it is specifically tuned for small-scale pretraining efficiency — narrow hidden size with a comparatively deep layer stack, and a large 49k-token vocabulary that keeps sequence lengths short for a model this size. Kiyo-135M reuses this architecture but is trained independently from a random initialization on its own data mixture, rather than starting from SmolLM2's own weights.
## Model Details
| Field | Value |
|---|---:|
| Parameters | 134,515,008 |
| Architecture | Llama-style decoder (SmolLM2 architecture) |
| Layers | 30 |
| Hidden size | 576 |
| Intermediate size | 1,536 |
| Attention heads | 9 |
| KV heads | 3 |
| Attention type | Grouped query attention |
| Activation | SwiGLU |
| Normalization | RMSNorm |
| Positional encoding | RoPE (theta 100,000) |
| Vocabulary size | 49,152 |
| Context length | 8,192 |
| Embeddings | Tied input/output embeddings |
| Training tokens | 200,000,000,000 |
| Weight format | safetensors |
## Training Data
| Source | Domain |
|---|---|
| FineWeb-Edu | General web text, education-filtered |
| DCLM-Baseline | General web text, high-quality filtered |
| FineMath | Mathematical reasoning |
| Stack-v3-train | Source code |
## Benchmarks
Self-reported results from the official [BananaMind Base Bench 1.1](https://huggingface.co/datasets/BananaMind/BananaMind-Base-Bench-1.1) script, all measured with the same runner, dtype (bfloat16) and GPU.
| Model | Params | Overall Elo |
|---|---:|---:|
| **Kiyo-135M** | **134.5M** | **1,126** |
| BananaMind-2-Pro | 139.0M | 1,124 |
| Rose-Pro | 151.3M | 1,105 |
| GPT-2 | 124M | 990 |
Figures for BananaMind-2-Pro, Rose-Pro, and GPT-2 are as self-reported on their own model cards, all against the same BananaMind Base Bench 1.1 suite.
**Detailed Kiyo-135M result**
| Category | Accuracy | z vs. chance | Elo | Significant |
|---|---:|---:|---:|:---:|
| Language completion | 100.0% | +12.25 | 1,570 | * |
| Code completion | 86.0% | +9.96 | 1,420 | * |
| World knowledge | 80.0% | +8.98 | 1,151 | * |
| Commonsense | 74.0% | +8.00 | 1,110 | * |
| Logical reasoning | 58.0% | +5.39 | 1,118 | * |
| Context tracking | 44.0% | +3.10 | 914 | * |
| Quantitative | 32.0% | +1.14 | 913 | |
\* = passes 1.96σ vs. chance; n=50 per category
**By difficulty**
| Difficulty | Accuracy |
|---|---:|
| Easy | 76.9% |
| Medium | 69.2% |
| Hard | 56.9% |
**Summary**
| Metric | Value |
|---|---:|
| Parameters | 134,515,008 |
| Overall Elo | 1,126 |
| Chance floor | 805 |
| Above chance floor | +321 |
| Raw accuracy | 67.7% |
Scores are self-evaluated and may vary with the benchmark revision, Transformers version, dtype, hardware, and generation settings.
## Usage
```bash
pip install -U transformers safetensors torch
```
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "DedeProGames/Kiyo-135M"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16 if torch.cuda.is_available() and torch.cuda.is_bf16_supported() else torch.float16,
).cuda().eval()
prompt = "The meaning of life is "
input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(model.device)
with torch.no_grad():
output = model.generate(
input_ids=input_ids,
max_new_tokens=64,
do_sample=False,
repetition_penalty=1.1,
pad_token_id=tokenizer.eos_token_id,
eos_token_id=tokenizer.eos_token_id,
)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```
## Limitations
This is a base model, not instruction-tuned — it continues text rather than following instructions. At 135M parameters it produces fluent, well-structured text and is strong on language completion and code, but accuracy drops on quantitative and multi-step context-tracking tasks. It can generate incorrect facts and should not be used for high-stakes decisions without verification. Keep a finite generation limit to avoid repetition or drift on long outputs.
## License
Apache 2.0

31
config.json Normal file
View File

@@ -0,0 +1,31 @@
{
"_name_or_path": "/fsx/elie_bakouch/hf-ckpt/135M-nanotron/240000",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 0,
"eos_token_id": 0,
"hidden_act": "silu",
"hidden_size": 576,
"initializer_range": 0.041666666666666664,
"intermediate_size": 1536,
"is_llama_config": true,
"max_position_embeddings": 2048,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 9,
"num_hidden_layers": 30,
"num_key_value_heads": 3,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_interleaved": false,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.44.0",
"use_cache": true,
"vocab_size": 49152
}

6
generation_config.json Normal file
View File

@@ -0,0 +1,6 @@
{
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": 0,
"transformers_version": "4.44.0"
}

3
model.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f87d85cd26011bd0c1b5f89abc53b359d6396e8c793e026768e0ad74c12c6df
size 269060552

42
special_tokens_map.json Normal file
View File

@@ -0,0 +1,42 @@
{
"additional_special_tokens": [
"<|endoftext|>",
"<|im_start|>",
"<|im_end|>",
"<repo_name>",
"<reponame>",
"<file_sep>",
"<filename>",
"<gh_stars>",
"<issue_start>",
"<issue_comment>",
"<issue_closed>",
"<jupyter_start>",
"<jupyter_text>",
"<jupyter_code>",
"<jupyter_output>",
"<jupyter_script>",
"<empty_output>"
],
"bos_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"unk_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

98249
tokenizer.json Normal file
View File

File diff suppressed because it is too large Load Diff

168
tokenizer_config.json Normal file
View File

@@ -0,0 +1,168 @@
{
"add_prefix_space": false,
"added_tokens_decoder": {
"0": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"3": {
"content": "<repo_name>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"4": {
"content": "<reponame>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"5": {
"content": "<file_sep>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"6": {
"content": "<filename>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"7": {
"content": "<gh_stars>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"8": {
"content": "<issue_start>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"9": {
"content": "<issue_comment>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"10": {
"content": "<issue_closed>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"11": {
"content": "<jupyter_start>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"12": {
"content": "<jupyter_text>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"13": {
"content": "<jupyter_code>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"14": {
"content": "<jupyter_output>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"15": {
"content": "<jupyter_script>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"16": {
"content": "<empty_output>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"<|endoftext|>",
"<|im_start|>",
"<|im_end|>",
"<repo_name>",
"<reponame>",
"<file_sep>",
"<filename>",
"<gh_stars>",
"<issue_start>",
"<issue_comment>",
"<issue_closed>",
"<jupyter_start>",
"<jupyter_text>",
"<jupyter_code>",
"<jupyter_output>",
"<jupyter_script>",
"<empty_output>"
],
"bos_token": "<|endoftext|>",
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"model_max_length": 1000000000000000019884624838656,
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>",
"vocab_size": 49152
}

1
vocab.json Normal file
View File

File diff suppressed because one or more lines are too long