quantization completed

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/chat_template.jinja

@@ -0,0 +1 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2e1d1cb43c80a432b77714a102c6eceaa43d01de540583c789cf4e85a63b67d
+size 1335

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/generation_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:275e18531c77a259689e0424ba634aa34d289bdaac4a116c4ec9ba8e921cbb67
+size 181

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7363fb6e730e5ff042860d7d2a5165f67a830991fb2b1c030adf8549ab921ca9
+size 4996670464

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09bba4d6d1831800733b16c3dba46a72add42a7c84e980a0a020b4d4fc757a00
+size 2111719976

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/model.safetensors.index.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7e56c5725b828b21936d5ec6e2ae9acec9fd04a739d1fab9824d603c23cbf71
+size 27787

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/quantization_metadata.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79f9c07febf73102db7e3768771017d274c95112946e276924f65a23cad39030
+size 405

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/special_tokens_map.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59cda48bbe8bab9d61ffb410e6e3c07b6d98bff73cee7c88ff8b51f95f21ab1c
+size 485

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

quantized_models/aggressive/DeepSeek-R1-Distill-Qwen-1.5B__attn4_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn4_ffn8_emb8/tokenizer_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55edc67ee25d8e0d4b7a13036ee61cdb880b49db4398533cc6a29710d1790ade
+size 4490

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a832eefda7e5937f7738a4d64287b3139f1904f64b5115b7f1b18d8d0a8eea9
+size 939

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/generation_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7244a760e89a2d38833bf5d771b175e8c47007a74b64dcfeac7e8ac8ee8e58d
+size 112

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef967a47fe688b47373eea27778ec3f367c7d72f83a9a499aaf80df9d21c8b8
+size 1267270720

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/quantization_metadata.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d59c54a098b21b59aa5a2ce76f445bcad092c9727d5f90d5e4c88e48042ffce
+size 379

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/special_tokens_map.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7f8082c06e8059eae989095356ba775ad4dcdc2e23af15eda6c74e3aee0d239
+size 7415

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:605c664925653e3fbf2f35ea063847db441ba5b7a6af04378880409c3ab311fc
+size 2350986

quantized_models/aggressive/Falcon-E-3B-Base__attn4_ffn8_emb8/Falcon-E-3B-Base_attn4_ffn8_emb8/tokenizer_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d921ca08d70115e4ad4496f1686319e557e0e9e9f6406f14a2d4c532de6a4de
+size 99642

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/added_tokens.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f5c94d30901fe9c961d776d51eadbda4454991a77b53d36e0be0571a8e72a7d
+size 293

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/chat_template.jinja

@@ -0,0 +1,8 @@
+{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>
+' + message['content'] + '<|end|>
+'}}{% elif message['role'] == 'user' %}{{'<|user|>
+' + message['content'] + '<|end|>
+'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>
+' + message['content'] + '<|end|>
+'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>
+' }}{% else %}{{ eos_token }}{% endif %}

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ae80a19fd38aa0a62033a131eae7acd49801bb2c570c4dca779239063a6c6e8
+size 3290

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/configuration_phi3.py

@@ -0,0 +1,227 @@
+# coding=utf-8
+# Copyright 2024 Microsoft and the HuggingFace Inc. team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+""" Phi-3 model configuration"""
+
+
+from transformers.configuration_utils import PretrainedConfig
+from transformers.utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+PHI3_PRETRAINED_CONFIG_ARCHIVE_MAP = {
+    "microsoft/Phi-3-mini-4k-instruct": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/config.json",
+    "microsoft/Phi-3-mini-128k-instruct": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/config.json",
+}
+
+
+class Phi3Config(PretrainedConfig):
+    r"""
+    This is the configuration class to store the configuration of a [`Phi3Model`]. It is used to instantiate a Phi-3
+    model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
+    defaults will yield a similar configuration to that of the
+    [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct).
+
+    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
+    documentation from [`PretrainedConfig`] for more information.
+
+    Args:
+        vocab_size (`int`, *optional*, defaults to 32064):
+            Vocabulary size of the Phi-3 model. Defines the number of different tokens that can be represented by the
+            `inputs_ids` passed when calling [`Phi3Model`].
+        hidden_size (`int`, *optional*, defaults to 3072):
+            Dimension of the hidden representations.
+        intermediate_size (`int`, *optional*, defaults to 8192):
+            Dimension of the MLP representations.
+        num_hidden_layers (`int`, *optional*, defaults to 32):
+            Number of hidden layers in the Transformer decoder.
+        num_attention_heads (`int`, *optional*, defaults to 32):
+            Number of attention heads for each attention layer in the Transformer decoder.
+        num_key_value_heads (`int`, *optional*):
+            This is the number of key_value heads that should be used to implement Grouped Query Attention. If
+            `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if
+            `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When
+            converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed
+            by meanpooling all the original heads within that group. For more details checkout [this
+            paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to
+            `num_attention_heads`.
+        resid_pdrop (`float`, *optional*, defaults to 0.0):
+            Dropout probability for mlp outputs.
+        embd_pdrop (`int`, *optional*, defaults to 0.0):
+            The dropout ratio for the embeddings.
+        attention_dropout (`float`, *optional*, defaults to 0.0):
+            The dropout ratio after computing the attention scores.
+        hidden_act (`str` or `function`, *optional*, defaults to `"silu"`):
+            The non-linear activation function (function or string) in the decoder.
+        max_position_embeddings (`int`, *optional*, defaults to 4096):
+            The maximum sequence length that this model might ever be used with.
+        original_max_position_embeddings (`int`, *optional*, defaults to 4096):
+            The maximum sequence length that this model was trained with. This is used to determine the size of the
+            original RoPE embeddings when using long scaling.
+        initializer_range (`float`, *optional*, defaults to 0.02):
+            The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
+        rms_norm_eps (`float`, *optional*, defaults to 1e-05):
+            The epsilon value used for the RMSNorm.
+        use_cache (`bool`, *optional*, defaults to `True`):
+            Whether or not the model should return the last key/values attentions (not used by all models). Only
+            relevant if `config.is_decoder=True`. Whether to tie weight embeddings or not.
+        tie_word_embeddings (`bool`, *optional*, defaults to `False`):
+            Whether to tie weight embeddings
+        rope_theta (`float`, *optional*, defaults to 10000.0):
+            The base period of the RoPE embeddings.
+        rope_scaling (`dict`, *optional*):
+            The scaling strategy for the RoPE embeddings. If `None`, no scaling is applied. If a dictionary, it must
+            contain the following keys: `type`, `short_factor` and `long_factor`. The `type` must be `longrope` and 
+            the `short_factor` and `long_factor` must be lists of numbers with the same length as the hidden size 
+            divided by the number of attention heads divided by 2.
+        bos_token_id (`int`, *optional*, defaults to 1):
+            The id of the "beginning-of-sequence" token.
+        eos_token_id (`int`, *optional*, defaults to 32000):
+            The id of the "end-of-sequence" token.
+        pad_token_id (`int`, *optional*, defaults to 32000):
+            The id of the padding token.
+        sliding_window (`int`, *optional*):
+            Sliding window attention window size. If `None`, no sliding window is applied.
+
+    Example:
+
+    ```python
+    >>> from transformers import Phi3Model, Phi3Config
+
+    >>> # Initializing a Phi-3 style configuration
+    >>> configuration = Phi3Config.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
+
+    >>> # Initializing a model from the configuration
+    >>> model = Phi3Model(configuration)
+
+    >>> # Accessing the model configuration
+    >>> configuration = model.config
+    ```"""
+
+    model_type = "phi3"
+    keys_to_ignore_at_inference = ["past_key_values"]
+
+    def __init__(
+        self,
+        vocab_size=32064,
+        hidden_size=3072,
+        intermediate_size=8192,
+        num_hidden_layers=32,
+        num_attention_heads=32,
+        num_key_value_heads=None,
+        resid_pdrop=0.0,
+        embd_pdrop=0.0,
+        attention_dropout=0.0,
+        hidden_act="silu",
+        max_position_embeddings=4096,
+        original_max_position_embeddings=4096,
+        initializer_range=0.02,
+        rms_norm_eps=1e-5,
+        use_cache=True,
+        tie_word_embeddings=False,
+        rope_theta=10000.0,
+        rope_scaling=None,
+        bos_token_id=1,
+        eos_token_id=32000,
+        pad_token_id=32000,
+        sliding_window=None,
+        **kwargs,
+    ):
+        self.vocab_size = vocab_size
+        self.hidden_size = hidden_size
+        self.intermediate_size = intermediate_size
+        self.num_hidden_layers = num_hidden_layers
+        self.num_attention_heads = num_attention_heads
+
+        if num_key_value_heads is None:
+            num_key_value_heads = num_attention_heads
+
+        self.num_key_value_heads = num_key_value_heads
+        self.resid_pdrop = resid_pdrop
+        self.embd_pdrop = embd_pdrop
+        self.attention_dropout = attention_dropout
+        self.hidden_act = hidden_act
+        self.max_position_embeddings = max_position_embeddings
+        self.original_max_position_embeddings = original_max_position_embeddings
+        self.initializer_range = initializer_range
+        self.rms_norm_eps = rms_norm_eps
+        self.use_cache = use_cache
+        self.rope_theta = rope_theta
+        self.rope_scaling = rope_scaling
+        self._rope_scaling_adjustment()
+        self._rope_scaling_validation()
+        self.sliding_window = sliding_window
+
+        super().__init__(
+            bos_token_id=bos_token_id,
+            eos_token_id=eos_token_id,
+            pad_token_id=pad_token_id,
+            tie_word_embeddings=tie_word_embeddings,
+            **kwargs,
+        )
+
+    def _rope_scaling_adjustment(self):
+        """
+        Adjust the `type` of the `rope_scaling` configuration for backward compatibility.
+        """
+        if self.rope_scaling is None:
+            return
+
+        rope_scaling_type = self.rope_scaling.get("type", None)
+
+        # For backward compatibility if previous version used "su" or "yarn"
+        if rope_scaling_type is not None and rope_scaling_type in ["su", "yarn"]:
+            self.rope_scaling["type"] = "longrope"
+
+    def _rope_scaling_validation(self):
+        """
+        Validate the `rope_scaling` configuration.
+        """
+        if self.rope_scaling is None:
+            return
+
+        if not isinstance(self.rope_scaling, dict) or len(self.rope_scaling) != 3:
+            raise ValueError(
+                "`rope_scaling` must be a dictionary with three fields, `type`, `short_factor` and `long_factor`, "
+                f"got {self.rope_scaling}"
+            )
+        rope_scaling_type = self.rope_scaling.get("type", None)
+        rope_scaling_short_factor = self.rope_scaling.get("short_factor", None)
+        rope_scaling_long_factor = self.rope_scaling.get("long_factor", None)
+        if rope_scaling_type is None or rope_scaling_type not in ["longrope"]:
+            raise ValueError(f"`rope_scaling`'s type field must be one of ['longrope'], got {rope_scaling_type}")
+        if not (
+            isinstance(rope_scaling_short_factor, list)
+            and all(isinstance(x, (int, float)) for x in rope_scaling_short_factor)
+        ):
+            raise ValueError(
+                f"`rope_scaling`'s short_factor field must be a list of numbers, got {rope_scaling_short_factor}"
+            )
+        if not len(rope_scaling_short_factor) == self.hidden_size // self.num_attention_heads // 2:
+            raise ValueError(
+                f"`rope_scaling`'s short_factor field must have length {self.hidden_size // self.num_attention_heads // 2}, got {len(rope_scaling_short_factor)}"
+            )
+        if not (
+            isinstance(rope_scaling_long_factor, list)
+            and all(isinstance(x, (int, float)) for x in rope_scaling_long_factor)
+        ):
+            raise ValueError(
+                f"`rope_scaling`'s long_factor field must be a list of numbers, got {rope_scaling_long_factor}"
+            )
+        if not len(rope_scaling_long_factor) == self.hidden_size // self.num_attention_heads // 2:
+            raise ValueError(
+                f"`rope_scaling`'s long_factor field must have length {self.hidden_size // self.num_attention_heads // 2}, got {len(rope_scaling_long_factor)}"
+            )

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/generation_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18cb81296b3fd9eb9992a9b95a05842f9a5778d47c62cc67bb949f038b19b3bb
+size 172

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/model-00001-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5dd9d8b79499e31f537f01d04e44d0b149585263b7754492b8b49cd76b443649
+size 4961852416

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/model-00002-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3186df079e7730d75a220876e3d65182d26bc4806edef9b671cc0b2cfcb95c0
+size 4983111176

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/model-00003-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45dce7445886e82947618d373d7af8f308a9a9e1795e3498b56937d45cef0ac5
+size 4945374704

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/model-00004-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d26a29ad8bb5b28067df73b520aecf857b3cb691ff0b2007443b49756cac1c2d
+size 394002560

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/model.safetensors.index.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab2d1bf7a32b16bde0dacd8f2a59e7c40a8e3f0d929badce9eca8d0a49908674
+size 16368

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/quantization_metadata.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23a44614fb4110f7127a8b7bd2bafc2d41807e781dc4db92e16c13c067d92bd6
+size 397

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/special_tokens_map.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:474d699677e264edd3851559548cbbb61801ad8da6b249c81455007602313c34
+size 569

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3cb815b904d82b82b25dcd90edd00e71a5ee5443472ad611bcb84f1339300647
+size 3620657

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

quantized_models/aggressive/Phi-3-mini-128k-instruct__attn4_ffn8_emb8/Phi-3-mini-128k-instruct_attn4_ffn8_emb8/tokenizer_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78f1699f672ba5c8c958fa9f69040560a0310967db88fcba80746d299738f13c
+size 2934

quantized_models/model_comparison.csv

@@ -0,0 +1,10 @@
+Model,Configuration,Attn (bits),FFN (bits),Emb (bits),Size (MB),Attn Layers,FFN Layers,Total Quantized
+DeepSeek-R1-Distill-Qwen-1.5B,aggressive,4,8,8,6779.05,112,84,197
+DeepSeek-R1-Distill-Qwen-1.5B,uniform_8bit,8,8,8,6779.05,112,84,197
+DeepSeek-R1-Distill-Qwen-1.5B,very_aggressive,4,4,8,6779.05,112,84,197
+Phi-3-mini-128k-instruct,aggressive,4,8,8,14576.26,64,64,129
+Phi-3-mini-128k-instruct,uniform_8bit,8,8,8,14576.26,64,64,129
+Phi-3-mini-128k-instruct,very_aggressive,4,4,8,14576.26,64,64,129
+Falcon-E-3B-Base,aggressive,4,8,8,512.51,0,0,1
+Falcon-E-3B-Base,uniform_8bit,8,8,8,512.51,0,0,1
+Falcon-E-3B-Base,very_aggressive,4,4,8,512.51,0,0,1

quantized_models/quantization_results.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a40e9485b629bbbe01a3d4a9ba4b83a5f08448cfec579cbee314bd600ed84ea4
-size 5126
+oid sha256:e62dfa76148b9d5b1e5b1d1f2bf74b546e035ecc25b73b262784587f118c1e54
+size 3584

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/chat_template.jinja

@@ -0,0 +1 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2e1d1cb43c80a432b77714a102c6eceaa43d01de540583c789cf4e85a63b67d
+size 1335

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/generation_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:275e18531c77a259689e0424ba634aa34d289bdaac4a116c4ec9ba8e921cbb67
+size 181

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07c7610a1bd72331a3e69e824be3bf8449f4213575f8f306aaa7cb57f11cf41b
+size 4996670464

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33204e360fb66e0a519c0bc98ad5e279ae14c33cc2b1a4cc238b8946d4605bc2
+size 2111719976

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/model.safetensors.index.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7e56c5725b828b21936d5ec6e2ae9acec9fd04a739d1fab9824d603c23cbf71
+size 27787

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/quantization_metadata.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83562736cd80be3b8b4a8fb2e94142440cbf495c19e275c9cbce42fe489cf310
+size 405

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/special_tokens_map.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59cda48bbe8bab9d61ffb410e6e3c07b6d98bff73cee7c88ff8b51f95f21ab1c
+size 485

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

quantized_models/uniform_8bit/DeepSeek-R1-Distill-Qwen-1.5B__attn8_ffn8_emb8/DeepSeek-R1-Distill-Qwen-1.5B_attn8_ffn8_emb8/tokenizer_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55edc67ee25d8e0d4b7a13036ee61cdb880b49db4398533cc6a29710d1790ade
+size 4490

quantized_models/uniform_8bit/Falcon-E-3B-Base__attn8_ffn8_emb8/Falcon-E-3B-Base_attn8_ffn8_emb8/config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a832eefda7e5937f7738a4d64287b3139f1904f64b5115b7f1b18d8d0a8eea9
+size 939

quantized_models/uniform_8bit/Falcon-E-3B-Base__attn8_ffn8_emb8/Falcon-E-3B-Base_attn8_ffn8_emb8/generation_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7244a760e89a2d38833bf5d771b175e8c47007a74b64dcfeac7e8ac8ee8e58d
+size 112

quantized_models/uniform_8bit/Falcon-E-3B-Base__attn8_ffn8_emb8/Falcon-E-3B-Base_attn8_ffn8_emb8/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef967a47fe688b47373eea27778ec3f367c7d72f83a9a499aaf80df9d21c8b8
+size 1267270720

quantized_models/uniform_8bit/Falcon-E-3B-Base__attn8_ffn8_emb8/Falcon-E-3B-Base_attn8_ffn8_emb8/quantization_metadata.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1262bed941b651ef6b7f0c70fdbf8f2a0feb2354cdbde668a138471dfb3d4b4b
+size 379

quantized_models/uniform_8bit/Falcon-E-3B-Base__attn8_ffn8_emb8/Falcon-E-3B-Base_attn8_ffn8_emb8/special_tokens_map.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7f8082c06e8059eae989095356ba775ad4dcdc2e23af15eda6c74e3aee0d239
+size 7415