srmty/smolLM2-360M-instruct-math-v1
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: srmty/smolLM2-360M-instruct-math-v1
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-10-05 08:29:18 +08:00
commit fe4936e828
7 changed files with 245271 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

70
README.md Normal file
View File

@@ -0,0 +1,70 @@
---
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M
language:
- en
pipeline_tag: text-generation
tags:
- smollm2
- instruction-tuning
- supervised-fine-tuning
- alpaca
- math
- reasoning
- gpteacher
- metamath
- small-language-models
---
# SmolLM2-360M Math Instruct
This is an instruction-tuned version of `HuggingFaceTB/SmolLM2-360M`.
The model was fine-tuned on a small mixed instruction dataset containing general instruction-following examples and math reasoning examples.
## Quick start
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "srmty/smolLM2-360M-math-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
device_map="auto" if torch.cuda.is_available() else None,
)
if tokenizer.pad_token is None:
tokenizer.pad_token = tokenizer.eos_token
model.eval()
```
## Training Data
The training mix used:
- `teknium/GPTeacher-General-Instruct`
- `meta-math/MetaMathQA` subset
The data was formatted using Alpaca-style prompts.
## Prompt Format
Use this format during inference:
```text
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
{instruction}
### Input:
{input}
### Response:

34
config.json Normal file
View File

@@ -0,0 +1,34 @@
{
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 0,
"torch_dtype": "float16",
"eos_token_id": 0,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 960,
"initializer_range": 0.02,
"intermediate_size": 2560,
"is_llama_config": true,
"max_position_embeddings": 8192,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 15,
"num_hidden_layers": 32,
"num_key_value_heads": 5,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_interleaved": false,
"rope_parameters": {
"rope_theta": 100000,
"rope_type": "default"
},
"tie_word_embeddings": true,
"unsloth_version": "2026.6.9",
"use_cache": true,
"vocab_size": 49152
}

10
generation_config.json Normal file
View File

@@ -0,0 +1,10 @@
{
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": [
0
],
"max_length": 8192,
"pad_token_id": 0,
"transformers_version": "5.5.0"
}

3
model.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:08aa8a0d03d83bced901a60ccde8abaaa19d31ed935690ec8ea58d65f5e11cbd
size 723674912

244965
tokenizer.json Normal file
View File

File diff suppressed because it is too large Load Diff

154
tokenizer_config.json Normal file
View File

@@ -0,0 +1,154 @@
{
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|endoftext|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"errors": "replace",
"extra_special_tokens": [],
"is_local": false,
"model_max_length": 8192,
"pad_token": "<|endoftext|>",
"padding_side": "left",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>",
"vocab_size": 49152,
"added_tokens_decoder": {
"0": {
"content": "<|endoftext|>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"1": {
"content": "<|im_start|>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"2": {
"content": "<|im_end|>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"3": {
"content": "<repo_name>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"4": {
"content": "<reponame>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"5": {
"content": "<file_sep>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"6": {
"content": "<filename>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"7": {
"content": "<gh_stars>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"8": {
"content": "<issue_start>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"9": {
"content": "<issue_comment>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"10": {
"content": "<issue_closed>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"11": {
"content": "<jupyter_start>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"12": {
"content": "<jupyter_text>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"13": {
"content": "<jupyter_code>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"14": {
"content": "<jupyter_output>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"15": {
"content": "<jupyter_script>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"16": {
"content": "<empty_output>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
}
}
}