Support InternLM3 Dense 8B Model (#6640)

* support internlm3

* update

* update

* update

* add hint

Former-commit-id: deacc00b1226ca3d53bf7bb1231cf276eaa8296b
This commit is contained in:
Haian Huang(深度眸) 2025-01-14 18:07:27 +08:00 committed by GitHub
parent a52496cc09
commit 864ee06243
5 changed files with 26 additions and 0 deletions

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@ -87,6 +87,7 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
</details>
## Changelog
[25/01/15] We supported fine-tuning the **[InternLM3](https://huggingface.co/collections/internlm/)** models. Thank [@hhaAndroid](https://github.com/hhaAndroid)'s PR.
[25/01/10] We supported fine-tuning the **[Phi-4](https://huggingface.co/microsoft/phi-4)** model.
@ -201,6 +202,7 @@ Compared to ChatGLM's [P-Tuning](https://github.com/THUDM/ChatGLM2-6B/tree/main/
| [Granite 3.0-3.1](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
| [Index](https://huggingface.co/IndexTeam) | 1.9B | index |
| [InternLM2/InternLM2.5](https://huggingface.co/internlm) | 7B/20B | intern2 |
| [InternLM3](https://huggingface.co/internlm) | 8B | intern3 |
| [Llama](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | - |
| [Llama 2](https://huggingface.co/meta-llama) | 7B/13B/70B | llama2 |
| [Llama 3-3.3](https://huggingface.co/meta-llama) | 1B/3B/8B/70B | llama3 |

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@ -89,6 +89,8 @@ https://github.com/user-attachments/assets/e6ce34b0-52d5-4f3e-a830-592106c4c272
## 更新日志
[25/01/15] 我们支持了 **[InternLM3](https://huggingface.co/collections/internlm/)** 模型的微调。感谢 [@hhaAndroid](https://github.com/hhaAndroid) 的 PR。
[25/01/10] 我们支持了 **[Phi-4](https://huggingface.co/microsoft/phi-4)** 模型的微调。
[24/12/21] 我们支持了使用 **[SwanLab](https://github.com/SwanHubX/SwanLab)** 跟踪与可视化实验。详细用法请参考 [此部分](#使用-swanlab-面板)。
@ -202,6 +204,7 @@ https://github.com/user-attachments/assets/e6ce34b0-52d5-4f3e-a830-592106c4c272
| [Granite 3.0-3.1](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
| [Index](https://huggingface.co/IndexTeam) | 1.9B | index |
| [InternLM2/InternLM2.5](https://huggingface.co/internlm) | 7B/20B | intern2 |
| [InternLM3](https://huggingface.co/internlm) | 8B | intern3 |
| [Llama](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | - |
| [Llama 2](https://huggingface.co/meta-llama) | 7B/13B/70B | llama2 |
| [Llama 3-3.3](https://huggingface.co/meta-llama) | 1B/3B/8B/70B | llama3 |

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@ -732,6 +732,14 @@ _register_template(
stop_words=["<|im_end|>"],
)
_register_template(
name="intern3",
format_user=StringFormatter(slots=["<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n"]),
format_assistant=StringFormatter(slots=["{{content}}<|im_end|>\n"]),
format_system=StringFormatter(slots=["<|im_start|>system\n{{content}}<|im_end|>\n"]),
format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
stop_words=["<|im_end|>"]
)
_register_template(
name="llama2",

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@ -817,6 +817,15 @@ register_model_group(
template="intern2",
)
register_model_group(
models={
"InternLM3-8B-Chat": {
DownloadSource.DEFAULT: "internlm/internlm3-8b-instruct",
DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm3-8b-instruct",
},
},
template="intern3",
)
register_model_group(
models={

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@ -24,6 +24,7 @@ from transformers.modeling_utils import is_fsdp_enabled
from ..extras import logging
from ..extras.misc import infer_optim_dtype
from ..extras.packages import is_transformers_version_greater_than
from .model_utils.attention import configure_attn_implementation, print_attn_implementation
from .model_utils.checkpointing import prepare_model_for_training
from .model_utils.embedding import resize_embedding_layer
@ -117,6 +118,9 @@ def patch_config(
if "LlavaLlamaForCausalLM" in getattr(config, "architectures", []):
raise ValueError("Please download llava models with hf-compatible format: https://huggingface.co/llava-hf")
if getattr(config, "model_type", None) == "internlm3" and not is_transformers_version_greater_than("4.47.1"):
raise RuntimeError("InternLM3 model requires transformers >= 4.47.1, please upgrade it.")
# deepspeed zero3 is not compatible with low_cpu_mem_usage
init_kwargs["low_cpu_mem_usage"] = model_args.low_cpu_mem_usage and (not is_deepspeed_zero3_enabled())