2 Commits

Author SHA1 Message Date
tangefly
4fd94141a4 [model] Add Ministral3 (#9582)
Co-authored-by: kingsley <kingsleydodonow@gmail.com>
2025-12-10 15:57:24 +08:00
Kingsley
22d6ac29d5 [model] Rename GLMV template (#9595) 2025-12-10 13:27:47 +08:00
8 changed files with 59 additions and 20 deletions

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@@ -291,8 +291,8 @@ Read technical notes:
| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma/gemma2 |
| [Gemma 3/Gemma 3n](https://huggingface.co/google) | 270M/1B/4B/6B/8B/12B/27B | gemma3/gemma3n |
| [GLM-4/GLM-4-0414/GLM-Z1](https://huggingface.co/zai-org) | 9B/32B | glm4/glmz1 |
| [GLM-4.1V/GLM-4.6V](https://huggingface.co/zai-org) | 9B/106B | glm4v |
| [GLM-4.5/GLM-4.5V](https://huggingface.co/zai-org) | 106B/355B | glm4_moe/glm4v_moe |
| [GLM-4.1V](https://huggingface.co/zai-org) | 9B | glm4v |
| [GLM-4.5/GLM-4.5(6)V](https://huggingface.co/zai-org) | 9B/106B/355B | glm4_moe/glm4_5v |
| [GPT-2](https://huggingface.co/openai-community) | 0.1B/0.4B/0.8B/1.5B | - |
| [GPT-OSS](https://huggingface.co/openai) | 20B/120B | gpt |
| [Granite 3.0-3.3](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
@@ -315,7 +315,7 @@ Read technical notes:
| [MiMo](https://huggingface.co/XiaomiMiMo) | 7B | mimo |
| [MiniCPM 1-4.1](https://huggingface.co/openbmb) | 0.5B/1B/2B/4B/8B | cpm/cpm3/cpm4 |
| [MiniCPM-o-2.6/MiniCPM-V-2.6](https://huggingface.co/openbmb) | 8B | minicpm_o/minicpm_v |
| [Ministral/Mistral-Nemo](https://huggingface.co/mistralai) | 8B/12B | ministral |
| [Ministral(3)/Mistral-Nemo](https://huggingface.co/mistralai) | 3B/8B/12B/14B | ministral/ministral3 |
| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
| [Mistral Small](https://huggingface.co/mistralai) | 24B | mistral_small |
| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |

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@@ -293,8 +293,8 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma/gemma2 |
| [Gemma 3/Gemma 3n](https://huggingface.co/google) | 270M/1B/4B/6B/8B/12B/27B | gemma3/gemma3n |
| [GLM-4/GLM-4-0414/GLM-Z1](https://huggingface.co/zai-org) | 9B/32B | glm4/glmz1 |
| [GLM-4.1V/GLM-4.6V](https://huggingface.co/zai-org) | 9B/106B | glm4v |
| [GLM-4.5/GLM-4.5V](https://huggingface.co/zai-org) | 106B/355B | glm4_moe/glm4v_moe |
| [GLM-4.1V](https://huggingface.co/zai-org) | 9B | glm4v |
| [GLM-4.5/GLM-4.5(6)V](https://huggingface.co/zai-org) | 9B/106B/355B | glm4_moe/glm4_5v |
| [GPT-2](https://huggingface.co/openai-community) | 0.1B/0.4B/0.8B/1.5B | - |
| [GPT-OSS](https://huggingface.co/openai) | 20B/120B | gpt |
| [Granite 3.0-3.3](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
@@ -317,7 +317,7 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
| [MiMo](https://huggingface.co/XiaomiMiMo) | 7B | mimo |
| [MiniCPM 1-4.1](https://huggingface.co/openbmb) | 0.5B/1B/2B/4B/8B | cpm/cpm3/cpm4 |
| [MiniCPM-o-2.6/MiniCPM-V-2.6](https://huggingface.co/openbmb) | 8B | minicpm_o/minicpm_v |
| [Ministral/Mistral-Nemo](https://huggingface.co/mistralai) | 8B/12B | ministral |
| [Ministral(3)/Mistral-Nemo](https://huggingface.co/mistralai) | 3B/8B/12B/14B | ministral/ministral3 |
| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
| [Mistral Small](https://huggingface.co/mistralai) | 24B | mistral_small |
| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |

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@@ -1128,7 +1128,7 @@ register_template(
# copied from glm4 template
register_template(
name="glm4v_moe",
name="glm4_5v",
format_user=StringFormatter(slots=["<|user|>\n{{content}}<|assistant|>"]),
format_assistant=StringFormatter(slots=["\n{{content}}"]),
format_system=StringFormatter(slots=["<|system|>\n{{content}}"]),
@@ -1687,6 +1687,19 @@ register_template(
)
register_template(
name="ministral3",
format_user=StringFormatter(slots=["[INST]{{content}}[/INST]"]),
format_system=StringFormatter(slots=["{{content}}\n\n"]),
format_function=FunctionFormatter(slots=["[TOOL_CALLS]{{content}}", {"eos_token"}], tool_format="mistral"),
format_observation=StringFormatter(slots=["""[TOOL_RESULTS]{"content": {{content}}}[/TOOL_RESULTS]"""]),
format_tools=ToolFormatter(tool_format="mistral"),
format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
template_class=Llama2Template,
mm_plugin=get_mm_plugin(name="pixtral", image_token="[IMG]"),
)
register_template(
name="olmo",
format_user=StringFormatter(slots=["<|user|>\n{{content}}<|assistant|>\n"]),

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@@ -141,6 +141,7 @@ class QuantizationMethod(str, Enum):
EETQ = "eetq"
HQQ = "hqq"
MXFP4 = "mxfp4"
FP8 = "fp8"
class RopeScaling(str, Enum):
@@ -969,14 +970,6 @@ register_model_group(
DownloadSource.DEFAULT: "zai-org/GLM-4.1V-9B-Thinking",
DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.1V-9B-Thinking",
},
"GLM-4.6V": {
DownloadSource.DEFAULT: "zai-org/GLM-4.6V",
DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V",
},
"GLM-4.6V-Flash": {
DownloadSource.DEFAULT: "zai-org/GLM-4.6V-Flash",
DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V-Flash",
},
},
template="glm4v",
multimodal=True,
@@ -1011,9 +1004,17 @@ register_model_group(
"GLM-4.5V-Air-Thinking": {
DownloadSource.DEFAULT: "zai-org/GLM-4.5V",
DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.5V",
}
},
"GLM-4.6V": {
DownloadSource.DEFAULT: "zai-org/GLM-4.6V",
DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V",
},
"GLM-4.6V-Flash": {
DownloadSource.DEFAULT: "zai-org/GLM-4.6V-Flash",
DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V-Flash",
},
},
template="glm4v_moe",
template="glm4_5v",
multimodal=True,
)
@@ -1977,6 +1978,25 @@ register_model_group(
template="mistral",
)
register_model_group(
models={
"Ministral-3-3B-Instruct-2512": {
DownloadSource.DEFAULT: "mistralai/Ministral-3-3B-Instruct-2512",
DownloadSource.MODELSCOPE: "mistralai/Ministral-3-3B-Instruct-2512",
},
"Ministral-3-8B-Instruct-2512": {
DownloadSource.DEFAULT: "mistralai/Ministral-3-8B-Instruct-2512",
DownloadSource.MODELSCOPE: "mistralai/Ministral-3-8B-Instruct-2512",
},
"Ministral-3-14B-Instruct-2512": {
DownloadSource.DEFAULT: "mistralai/Ministral-3-14B-Instruct-2512",
DownloadSource.MODELSCOPE: "mistralai/Ministral-3-14B-Instruct-2512",
},
},
template="ministral3",
multimodal=True,
)
register_model_group(
models={

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@@ -22,7 +22,7 @@ from typing import TYPE_CHECKING, Any
import torch
from datasets import load_dataset
from transformers import BitsAndBytesConfig, EetqConfig, GPTQConfig, HqqConfig
from transformers import BitsAndBytesConfig, EetqConfig, FineGrainedFP8Config, GPTQConfig, HqqConfig
from transformers.integrations import is_deepspeed_zero3_enabled
from transformers.modeling_utils import is_fsdp_enabled
@@ -83,6 +83,7 @@ def configure_quantization(
config: "PretrainedConfig",
tokenizer: "PreTrainedTokenizer",
model_args: "ModelArguments",
is_trainable: bool,
init_kwargs: dict[str, Any],
) -> None:
r"""Priority: PTQ-quantized (train/infer) > AutoGPTQ (export) > On-the-fly quantization (train/infer)."""
@@ -109,6 +110,10 @@ def configure_quantization(
check_version("aqlm>=1.1.0", mandatory=True)
quantization_config["bits"] = 2
if quant_method == QuantizationMethod.FP8 and is_trainable:
quant_config = FineGrainedFP8Config(dequantize=True)
init_kwargs["quantization_config"] = quant_config
quant_bits = quantization_config.get("bits", "?")
logger.info_rank0(f"Loading {quant_bits}-bit {quant_method.upper()}-quantized model.")

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@@ -301,6 +301,7 @@ _register_composite_model(
_register_composite_model(
model_type="mistral3",
projector_key="model.multi_modal_projector",
)

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@@ -115,7 +115,7 @@ def patch_config(
configure_attn_implementation(config, model_args)
configure_rope(config, model_args)
configure_longlora(config, model_args, is_trainable)
configure_quantization(config, tokenizer, model_args, init_kwargs)
configure_quantization(config, tokenizer, model_args, is_trainable, init_kwargs)
configure_moe(config, model_args, is_trainable)
configure_visual_model(config)
configure_packing(model_args, is_trainable)

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@@ -78,7 +78,7 @@ def run_sft(
gen_kwargs = generating_args.to_dict(obey_generation_config=True)
# Compatible with Transformers v4 and Transformers v5
if is_transformers_version_greater_than("5.0.0RC0"):
if is_transformers_version_greater_than("4.58.0"):
extra_ids = getattr(tokenizer, "additional_special_tokens_ids", None)
if not isinstance(extra_ids, list):
extra_special_tokens = getattr(tokenizer, "_extra_special_tokens", [])