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4fd94141a4
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4fd94141a4 | ||
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22d6ac29d5 |
@@ -291,8 +291,8 @@ Read technical notes:
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma/gemma2 |
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| [Gemma 3/Gemma 3n](https://huggingface.co/google) | 270M/1B/4B/6B/8B/12B/27B | gemma3/gemma3n |
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| [GLM-4/GLM-4-0414/GLM-Z1](https://huggingface.co/zai-org) | 9B/32B | glm4/glmz1 |
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| [GLM-4.1V/GLM-4.6V](https://huggingface.co/zai-org) | 9B/106B | glm4v |
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| [GLM-4.5/GLM-4.5V](https://huggingface.co/zai-org) | 106B/355B | glm4_moe/glm4v_moe |
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| [GLM-4.1V](https://huggingface.co/zai-org) | 9B | glm4v |
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| [GLM-4.5/GLM-4.5(6)V](https://huggingface.co/zai-org) | 9B/106B/355B | glm4_moe/glm4_5v |
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| [GPT-2](https://huggingface.co/openai-community) | 0.1B/0.4B/0.8B/1.5B | - |
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| [GPT-OSS](https://huggingface.co/openai) | 20B/120B | gpt |
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| [Granite 3.0-3.3](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
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@@ -315,7 +315,7 @@ Read technical notes:
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| [MiMo](https://huggingface.co/XiaomiMiMo) | 7B | mimo |
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| [MiniCPM 1-4.1](https://huggingface.co/openbmb) | 0.5B/1B/2B/4B/8B | cpm/cpm3/cpm4 |
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| [MiniCPM-o-2.6/MiniCPM-V-2.6](https://huggingface.co/openbmb) | 8B | minicpm_o/minicpm_v |
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| [Ministral/Mistral-Nemo](https://huggingface.co/mistralai) | 8B/12B | ministral |
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| [Ministral(3)/Mistral-Nemo](https://huggingface.co/mistralai) | 3B/8B/12B/14B | ministral/ministral3 |
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| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
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| [Mistral Small](https://huggingface.co/mistralai) | 24B | mistral_small |
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| [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
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| [Gemma/Gemma 2/CodeGemma](https://huggingface.co/google) | 2B/7B/9B/27B | gemma/gemma2 |
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| [Gemma 3/Gemma 3n](https://huggingface.co/google) | 270M/1B/4B/6B/8B/12B/27B | gemma3/gemma3n |
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| [GLM-4/GLM-4-0414/GLM-Z1](https://huggingface.co/zai-org) | 9B/32B | glm4/glmz1 |
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| [GLM-4.1V/GLM-4.6V](https://huggingface.co/zai-org) | 9B/106B | glm4v |
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| [GLM-4.5/GLM-4.5V](https://huggingface.co/zai-org) | 106B/355B | glm4_moe/glm4v_moe |
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| [GLM-4.1V](https://huggingface.co/zai-org) | 9B | glm4v |
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| [GLM-4.5/GLM-4.5(6)V](https://huggingface.co/zai-org) | 9B/106B/355B | glm4_moe/glm4_5v |
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| [GPT-2](https://huggingface.co/openai-community) | 0.1B/0.4B/0.8B/1.5B | - |
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| [GPT-OSS](https://huggingface.co/openai) | 20B/120B | gpt |
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| [Granite 3.0-3.3](https://huggingface.co/ibm-granite) | 1B/2B/3B/8B | granite3 |
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@@ -317,7 +317,7 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
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| [MiMo](https://huggingface.co/XiaomiMiMo) | 7B | mimo |
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| [MiniCPM 1-4.1](https://huggingface.co/openbmb) | 0.5B/1B/2B/4B/8B | cpm/cpm3/cpm4 |
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| [MiniCPM-o-2.6/MiniCPM-V-2.6](https://huggingface.co/openbmb) | 8B | minicpm_o/minicpm_v |
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| [Ministral/Mistral-Nemo](https://huggingface.co/mistralai) | 8B/12B | ministral |
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| [Ministral(3)/Mistral-Nemo](https://huggingface.co/mistralai) | 3B/8B/12B/14B | ministral/ministral3 |
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| [Mistral/Mixtral](https://huggingface.co/mistralai) | 7B/8x7B/8x22B | mistral |
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| [Mistral Small](https://huggingface.co/mistralai) | 24B | mistral_small |
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| [OLMo](https://huggingface.co/allenai) | 1B/7B | - |
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@@ -1128,7 +1128,7 @@ register_template(
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# copied from glm4 template
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register_template(
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name="glm4v_moe",
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name="glm4_5v",
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format_user=StringFormatter(slots=["<|user|>\n{{content}}<|assistant|>"]),
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format_assistant=StringFormatter(slots=["\n{{content}}"]),
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format_system=StringFormatter(slots=["<|system|>\n{{content}}"]),
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@@ -1687,6 +1687,19 @@ register_template(
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)
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register_template(
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name="ministral3",
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format_user=StringFormatter(slots=["[INST]{{content}}[/INST]"]),
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format_system=StringFormatter(slots=["{{content}}\n\n"]),
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format_function=FunctionFormatter(slots=["[TOOL_CALLS]{{content}}", {"eos_token"}], tool_format="mistral"),
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format_observation=StringFormatter(slots=["""[TOOL_RESULTS]{"content": {{content}}}[/TOOL_RESULTS]"""]),
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format_tools=ToolFormatter(tool_format="mistral"),
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format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
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template_class=Llama2Template,
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mm_plugin=get_mm_plugin(name="pixtral", image_token="[IMG]"),
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)
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register_template(
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name="olmo",
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format_user=StringFormatter(slots=["<|user|>\n{{content}}<|assistant|>\n"]),
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@@ -141,6 +141,7 @@ class QuantizationMethod(str, Enum):
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EETQ = "eetq"
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HQQ = "hqq"
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MXFP4 = "mxfp4"
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FP8 = "fp8"
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class RopeScaling(str, Enum):
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@@ -969,14 +970,6 @@ register_model_group(
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DownloadSource.DEFAULT: "zai-org/GLM-4.1V-9B-Thinking",
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DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.1V-9B-Thinking",
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},
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"GLM-4.6V": {
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DownloadSource.DEFAULT: "zai-org/GLM-4.6V",
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DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V",
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},
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"GLM-4.6V-Flash": {
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DownloadSource.DEFAULT: "zai-org/GLM-4.6V-Flash",
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DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V-Flash",
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},
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},
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template="glm4v",
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multimodal=True,
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@@ -1011,9 +1004,17 @@ register_model_group(
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"GLM-4.5V-Air-Thinking": {
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DownloadSource.DEFAULT: "zai-org/GLM-4.5V",
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DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.5V",
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}
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},
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"GLM-4.6V": {
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DownloadSource.DEFAULT: "zai-org/GLM-4.6V",
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DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V",
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},
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"GLM-4.6V-Flash": {
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DownloadSource.DEFAULT: "zai-org/GLM-4.6V-Flash",
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DownloadSource.MODELSCOPE: "ZhipuAI/GLM-4.6V-Flash",
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},
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},
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template="glm4v_moe",
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template="glm4_5v",
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multimodal=True,
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)
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@@ -1977,6 +1978,25 @@ register_model_group(
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template="mistral",
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)
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register_model_group(
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models={
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"Ministral-3-3B-Instruct-2512": {
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DownloadSource.DEFAULT: "mistralai/Ministral-3-3B-Instruct-2512",
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DownloadSource.MODELSCOPE: "mistralai/Ministral-3-3B-Instruct-2512",
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},
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"Ministral-3-8B-Instruct-2512": {
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DownloadSource.DEFAULT: "mistralai/Ministral-3-8B-Instruct-2512",
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DownloadSource.MODELSCOPE: "mistralai/Ministral-3-8B-Instruct-2512",
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},
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"Ministral-3-14B-Instruct-2512": {
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DownloadSource.DEFAULT: "mistralai/Ministral-3-14B-Instruct-2512",
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DownloadSource.MODELSCOPE: "mistralai/Ministral-3-14B-Instruct-2512",
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},
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},
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template="ministral3",
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multimodal=True,
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)
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register_model_group(
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models={
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@@ -22,7 +22,7 @@ from typing import TYPE_CHECKING, Any
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import torch
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from datasets import load_dataset
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from transformers import BitsAndBytesConfig, EetqConfig, GPTQConfig, HqqConfig
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from transformers import BitsAndBytesConfig, EetqConfig, FineGrainedFP8Config, GPTQConfig, HqqConfig
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from transformers.integrations import is_deepspeed_zero3_enabled
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from transformers.modeling_utils import is_fsdp_enabled
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@@ -83,6 +83,7 @@ def configure_quantization(
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config: "PretrainedConfig",
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tokenizer: "PreTrainedTokenizer",
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model_args: "ModelArguments",
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is_trainable: bool,
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init_kwargs: dict[str, Any],
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) -> None:
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r"""Priority: PTQ-quantized (train/infer) > AutoGPTQ (export) > On-the-fly quantization (train/infer)."""
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@@ -109,6 +110,10 @@ def configure_quantization(
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check_version("aqlm>=1.1.0", mandatory=True)
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quantization_config["bits"] = 2
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if quant_method == QuantizationMethod.FP8 and is_trainable:
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quant_config = FineGrainedFP8Config(dequantize=True)
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init_kwargs["quantization_config"] = quant_config
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quant_bits = quantization_config.get("bits", "?")
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logger.info_rank0(f"Loading {quant_bits}-bit {quant_method.upper()}-quantized model.")
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@@ -301,6 +301,7 @@ _register_composite_model(
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_register_composite_model(
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model_type="mistral3",
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projector_key="model.multi_modal_projector",
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)
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@@ -115,7 +115,7 @@ def patch_config(
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configure_attn_implementation(config, model_args)
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configure_rope(config, model_args)
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configure_longlora(config, model_args, is_trainable)
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configure_quantization(config, tokenizer, model_args, init_kwargs)
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configure_quantization(config, tokenizer, model_args, is_trainable, init_kwargs)
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configure_moe(config, model_args, is_trainable)
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configure_visual_model(config)
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configure_packing(model_args, is_trainable)
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@@ -78,7 +78,7 @@ def run_sft(
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gen_kwargs = generating_args.to_dict(obey_generation_config=True)
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# Compatible with Transformers v4 and Transformers v5
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if is_transformers_version_greater_than("5.0.0RC0"):
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if is_transformers_version_greater_than("4.58.0"):
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extra_ids = getattr(tokenizer, "additional_special_tokens_ids", None)
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if not isinstance(extra_ids, list):
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extra_special_tokens = getattr(tokenizer, "_extra_special_tokens", [])
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