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winglian-llama-3-8b-256k-PoSE-QUANTO-int2bit-smashed

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Pruna AI 160

• "torch.nn.modules.sparse.Embedding",
• "transformers.models.llama.modeling_llama.LlamaRotaryEmbedding",
• "__builtin__.set",
• "transformers.models.llama.modeling_llama.LlamaForCausalLM",
• "transformers.models.llama.modeling_llama.LlamaRMSNorm",
• "torch.int8",
• "torch.BFloat16Storage",
• "transformers.models.llama.modeling_llama.LlamaDecoderLayer",
• "torch.device",
• "transformers.models.llama.modeling_llama.LlamaMLP",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.nn.modules.container.ModuleList",
• "torch.bfloat16",
• "transformers.models.llama.modeling_llama.LlamaModel",
• "torch.FloatStorage",
• "transformers.models.llama.modeling_llama.LlamaSdpaAttention",
• "torch._utils._rebuild_parameter",
• "transformers.models.llama.configuration_llama.LlamaConfig",
• "quanto.nn.qlinear.QLinear",
• "torch.nn.modules.activation.SiLU",
• "transformers.generation.configuration_utils.GenerationConfig",
• "quanto.tensor.qtype.qtype"

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