tiny-random / hunyuan

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: August 11 2025
text-generation

Introduction of hunyuan

Model Details of hunyuan

This tiny model is for debugging. It is randomly initialized with the config adapted from tencent/Hunyuan-7B-Instruct .

Example usage:
import torch
from transformers.pipelines import pipeline

model_id = "tiny-random/hunyuan"
messages = [
    {
        "role": "user",
        "content": "hi",
    }
]
pipe = pipeline('text-generation', model_id, device='cuda', torch_dtype=torch.bfloat16, trust_remote_code=True,)
print(pipe(messages, max_new_tokens=32))
Codes to create this repo:
import json
from pathlib import Path

import accelerate
import torch
from huggingface_hub import file_exists, hf_hub_download
from transformers import (
    AutoConfig,
    AutoModelForCausalLM,
    AutoProcessor,
    GenerationConfig,
    set_seed,
)

source_model_id = "tencent/Hunyuan-7B-Instruct"
save_folder = "/tmp/tiny-random/hunyuan"

processor = AutoProcessor.from_pretrained(source_model_id, trust_remote_code=True)
processor.save_pretrained(save_folder)

with open(hf_hub_download(source_model_id, filename='config.json', repo_type='model'), 'r', encoding='utf-8') as f:
    config_json = json.load(f)
config_json['hidden_size'] = 16
config_json['head_dim'] = 32
config_json['intermediate_size'] = 64
config_json['num_attention_heads'] = 2
config_json['num_hidden_layers'] = 2
config_json['num_key_value_heads'] = 1
config_json['tie_word_embeddings'] = True
with open(f"{save_folder}/config.json", "w", encoding='utf-8') as f:
    json.dump(config_json, f, indent=2)

config = AutoConfig.from_pretrained(
    save_folder,
    trust_remote_code=True,
)
print(config)
torch.set_default_dtype(torch.bfloat16)
model = AutoModelForCausalLM.from_config(config, trust_remote_code=True)
torch.set_default_dtype(torch.float32)
if file_exists(filename="generation_config.json", repo_id=source_model_id, repo_type='model'):
    model.generation_config = GenerationConfig.from_pretrained(
        source_model_id, trust_remote_code=True,
    )
set_seed(42)
model = model.cpu()  # cpu is more stable for random initialization across machines
with torch.no_grad():
    for name, p in sorted(model.named_parameters()):
        torch.nn.init.normal_(p, 0, 0.1)
        print(name, p.shape)
model.save_pretrained(save_folder)
print(model)
Printing the model:
HunYuanDenseV1ForCausalLM(
  (model): HunYuanDenseV1Model(
    (embed_tokens): Embedding(128167, 16, padding_idx=127961)
    (layers): ModuleList(
      (0-1): 2 x HunYuanDenseV1DecoderLayer(
        (self_attn): HunYuanDenseV1Attention(
          (q_proj): Linear(in_features=16, out_features=64, bias=False)
          (k_proj): Linear(in_features=16, out_features=32, bias=False)
          (v_proj): Linear(in_features=16, out_features=32, bias=False)
          (o_proj): Linear(in_features=64, out_features=16, bias=False)
          (query_layernorm): HunYuanDenseV1RMSNorm((32,), eps=1e-05)
          (key_layernorm): HunYuanDenseV1RMSNorm((32,), eps=1e-05)
        )
        (mlp): HunYuanDenseV1MLP(
          (gate_proj): Linear(in_features=16, out_features=64, bias=False)
          (up_proj): Linear(in_features=16, out_features=64, bias=False)
          (down_proj): Linear(in_features=64, out_features=16, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): HunYuanDenseV1RMSNorm((16,), eps=1e-05)
        (post_attention_layernorm): HunYuanDenseV1RMSNorm((16,), eps=1e-05)
      )
    )
    (norm): HunYuanDenseV1RMSNorm((16,), eps=1e-05)
    (rotary_emb): HunYuanDenseV1RotaryEmbedding()
  )
  (lm_head): Linear(in_features=16, out_features=128167, bias=False)
)

Runs of tiny-random hunyuan on huggingface.co

5
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More Information About hunyuan huggingface.co Model

hunyuan huggingface.co

hunyuan huggingface.co is an AI model on huggingface.co that provides hunyuan's model effect (), which can be used instantly with this tiny-random hunyuan model. huggingface.co supports a free trial of the hunyuan model, and also provides paid use of the hunyuan. Support call hunyuan model through api, including Node.js, Python, http.

tiny-random hunyuan online free

hunyuan huggingface.co is an online trial and call api platform, which integrates hunyuan's modeling effects, including api services, and provides a free online trial of hunyuan, you can try hunyuan online for free by clicking the link below.

tiny-random hunyuan online free url in huggingface.co:

https://huggingface.co/tiny-random/hunyuan

hunyuan install

hunyuan is an open source model from GitHub that offers a free installation service, and any user can find hunyuan on GitHub to install. At the same time, huggingface.co provides the effect of hunyuan install, users can directly use hunyuan installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

hunyuan install url in huggingface.co:

https://huggingface.co/tiny-random/hunyuan

Url of hunyuan

Provider of hunyuan huggingface.co

tiny-random
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