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Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_sha_bw6.80_4-8bit/quantization_config.txt

@@ -1,249 +0,0 @@
-# Model: meta-llama/Llama-3.1-8B-Instruct
-# Layer directory: /nfs/scistore19/alistgrp/mhelcig/local/data/search/4_5_6_7_8bit_asym_g128/Llama-3.1-8B-Instruct/6bit/
-# Sensitivity method: shapley
-# Estimation method: permutation_separate
-# Available bitwidths: [4, 8]
-# Bitwidth map: {4: 4.3125, 5: 5.3125, 6: 6.3125, 7: 7.3125, 8: 8.3125}
-#
-# Mode: binary_search_constraint
-# Constraint max_kl: 0.01
-# Weights: nll=0.0, kl=0.0, eap=1.0
-#
-# Average bitwidth: 6.7981
-# Total params: 6979321856
-# Total bits: 47445966848
-# Final KL: 0.009849
-# Final EAP: 0.967613
-# Final ETL: 0.032387
-# Satisfies constraints: True
-# Solver calls: 6
-# Evaluations: 6
-#
-# Bitwidth distribution:
-#   8-bit: 179 layers (79.9%)
-#   4-bit: 45 layers (20.1%)
-#
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-model.layers.0.self_attn.o_proj: 8
-model.layers.0.mlp.gate_proj: 4
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-model.layers.1.self_attn.v_proj: 8
-model.layers.1.self_attn.o_proj: 8
-model.layers.1.mlp.gate_proj: 8
-model.layers.1.mlp.up_proj: 8
-model.layers.1.mlp.down_proj: 8
-model.layers.2.self_attn.q_proj: 8
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-model.layers.2.self_attn.v_proj: 8
-model.layers.2.self_attn.o_proj: 8
-model.layers.2.mlp.gate_proj: 8
-model.layers.2.mlp.up_proj: 8
-model.layers.2.mlp.down_proj: 4
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-model.layers.3.self_attn.v_proj: 8
-model.layers.3.self_attn.o_proj: 8
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-model.layers.3.mlp.up_proj: 8
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-model.layers.7.self_attn.o_proj: 8
-model.layers.7.mlp.gate_proj: 8
-model.layers.7.mlp.up_proj: 8
-model.layers.7.mlp.down_proj: 4
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Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_sha_bw6.80_4-8bit/special_tokens_map.json

@@ -1,17 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|begin_of_text|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|eot_id|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "<|eot_id|>"
-}

Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_sha_bw6.80_4-8bit/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
-size 17209920

Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_sha_bw6.80_4-8bit/tokenizer_config.json

@@ -1,2063 +0,0 @@
-{
-  "added_tokens_decoder": {
-    "128000": {
-      "content": "<|begin_of_text|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128001": {
-      "content": "<|end_of_text|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128002": {
-      "content": "<|reserved_special_token_0|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128003": {
-      "content": "<|reserved_special_token_1|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128004": {
-      "content": "<|finetune_right_pad_id|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128005": {
-      "content": "<|reserved_special_token_2|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128006": {
-      "content": "<|start_header_id|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128007": {
-      "content": "<|end_header_id|>",
-      "lstrip": false,
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-  "extra_special_tokens": {},
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
-  ],
-  "model_max_length": 131072,
-  "pad_token": "<|eot_id|>",
-  "tokenizer_class": "PreTrainedTokenizerFast"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/README.md

@@ -1,17 +0,0 @@
-# Quantized Model Checkpoint
-
-**Base model:** meta-llama/Llama-3.1-8B-Instruct
-
-**Average bitwidth:** 6.6454
-
-**Sensitivity method:** shapley
-
-**Constraints:**
-- max_kl: 0.01
-- min_eap: 0.99
-
-**Metrics:**
-- predicted_kl: 0.001530
-- predicted_eap: 0.990005
-
-See `quantization_config.txt` for full configuration details.

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/chat_template.jinja

@@ -1,109 +0,0 @@
-{{- bos_token }}
-{%- if custom_tools is defined %}
-    {%- set tools = custom_tools %}
-{%- endif %}
-{%- if not tools_in_user_message is defined %}
-    {%- set tools_in_user_message = true %}
-{%- endif %}
-{%- if not date_string is defined %}
-    {%- set date_string = "26 Jul 2024" %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-
-{#- This block extracts the system message, so we can slot it into the right place. #}
-{%- if messages[0]['role'] == 'system' %}
-    {%- set system_message = messages[0]['content']|trim %}
-    {%- set messages = messages[1:] %}
-{%- else %}
-    {%- set system_message = "" %}
-{%- endif %}
-
-{#- System message + builtin tools #}
-{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
-{%- if builtin_tools is defined or tools is not none %}
-    {{- "Environment: ipython\n" }}
-{%- endif %}
-{%- if builtin_tools is defined %}
-    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
-{%- endif %}
-{{- "Cutting Knowledge Date: December 2023\n" }}
-{{- "Today Date: " + date_string + "\n\n" }}
-{%- if tools is not none and not tools_in_user_message %}
-    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-{%- endif %}
-{{- system_message }}
-{{- "<|eot_id|>" }}
-
-{#- Custom tools are passed in a user message with some extra guidance #}
-{%- if tools_in_user_message and not tools is none %}
-    {#- Extract the first user message so we can plug it in here #}
-    {%- if messages | length != 0 %}
-        {%- set first_user_message = messages[0]['content']|trim %}
-        {%- set messages = messages[1:] %}
-    {%- else %}
-        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
-{%- endif %}
-    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
-    {{- "Given the following functions, please respond with a JSON for a function call " }}
-    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-    {{- first_user_message + "<|eot_id|>"}}
-{%- endif %}
-
-{%- for message in messages %}
-    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
-        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
-    {%- elif 'tool_calls' in message %}
-        {%- if not message.tool_calls|length == 1 %}
-            {{- raise_exception("This model only supports single tool-calls at once!") }}
-        {%- endif %}
-        {%- set tool_call = message.tool_calls[0].function %}
-        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
-            {%- for arg_name, arg_val in tool_call.arguments | items %}
-                {{- arg_name + '="' + arg_val + '"' }}
-                {%- if not loop.last %}
-                    {{- ", " }}
-                {%- endif %}
-                {%- endfor %}
-            {{- ")" }}
-        {%- else  %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- '{"name": "' + tool_call.name + '", ' }}
-            {{- '"parameters": ' }}
-            {{- tool_call.arguments | tojson }}
-            {{- "}" }}
-        {%- endif %}
-        {%- if builtin_tools is defined %}
-            {#- This means we're in ipython mode #}
-            {{- "<|eom_id|>" }}
-        {%- else %}
-            {{- "<|eot_id|>" }}
-        {%- endif %}
-    {%- elif message.role == "tool" or message.role == "ipython" %}
-        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
-        {%- if message.content is mapping or message.content is iterable %}
-            {{- message.content | tojson }}
-        {%- else %}
-            {{- message.content }}
-        {%- endif %}
-        {{- "<|eot_id|>" }}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
-{%- endif %}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/config.json

@@ -1,39 +0,0 @@
-{
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-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "dtype": "float16",
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 8.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "transformers_version": "4.57.3",
-  "use_cache": false,
-  "vocab_size": 128256
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/generation_config.json

@@ -1,12 +0,0 @@
-{
-  "bos_token_id": 128000,
-  "do_sample": true,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "temperature": 0.6,
-  "top_p": 0.9,
-  "transformers_version": "4.57.3"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/model-00001-of-00004.safetensors

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Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/model.safetensors.index.json

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-    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
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Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/quantization_config.txt

@@ -1,252 +0,0 @@
-# Model: meta-llama/Llama-3.1-8B-Instruct
-# Layer directory: /nfs/scistore19/alistgrp/mhelcig/local/data/search/4_5_6_7_8bit_asym_g128/Llama-3.1-8B-Instruct/6bit/
-# Sensitivity method: shapley
-# Estimation method: permutation_separate
-# Available bitwidths: [4, 5, 6, 7, 8]
-# Bitwidth map: {4: 4.3125, 5: 5.3125, 6: 6.3125, 7: 7.3125, 8: 8.3125}
-#
-# Mode: predicted_constraint_search
-# Constraint max_kl: 0.01
-# Constraint min_eap: 0.99
-# Weights: nll=0.0, kl=0.0, eap=1.0
-#
-# Average bitwidth: 6.6454
-# Total params: 6979321856
-# Total bits: 46380613632
-# Predicted KL: 0.001530
-# Predicted EAP: 0.990005
-# Predicted ETL: 0.009995
-# Satisfies constraints: True
-# Solver calls: 1
-# Evaluations: 0
-#
-# Bitwidth distribution:
-#   8-bit: 86 layers (38.4%)
-#   7-bit: 50 layers (22.3%)
-#   6-bit: 83 layers (37.1%)
-#   5-bit: 5 layers (2.2%)
-#
-model.layers.0.self_attn.q_proj: 7
-model.layers.0.self_attn.k_proj: 8
-model.layers.0.self_attn.v_proj: 8
-model.layers.0.self_attn.o_proj: 7
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-model.layers.1.self_attn.v_proj: 8
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-model.layers.1.mlp.up_proj: 6
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-model.layers.2.self_attn.q_proj: 8
-model.layers.2.self_attn.k_proj: 8
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-model.layers.2.self_attn.o_proj: 7
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Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/special_tokens_map.json

@@ -1,17 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|begin_of_text|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-  "eos_token": {
-    "content": "<|eot_id|>",
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-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "<|eot_id|>"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
-size 17209920

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw6.65_5-6-7-8bit/tokenizer_config.json

@@ -1,2063 +0,0 @@
-{
-  "added_tokens_decoder": {
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-      "content": "<|begin_of_text|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "128002": {
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-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "128004": {
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-      "content": "<|reserved_special_token_2|>",
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-      "rstrip": false,
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-      "special": true
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-      "single_word": false,
-      "special": true
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-      "single_word": false,
-      "special": true
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-      "special": true
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-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|eot_id|>",
-  "extra_special_tokens": {},
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
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-  "model_max_length": 131072,
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-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/README.md

@@ -1,17 +0,0 @@
-# Quantized Model Checkpoint
-
-**Base model:** meta-llama/Llama-3.1-8B-Instruct
-
-**Average bitwidth:** 7.5385
-
-**Sensitivity method:** shapley
-
-**Constraints:**
-- max_kl: 0.01
-- min_eap: 0.99
-
-**Metrics:**
-- predicted_kl: 0.005405
-- predicted_eap: 0.990085
-
-See `quantization_config.txt` for full configuration details.

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/chat_template.jinja

@@ -1,109 +0,0 @@
-{{- bos_token }}
-{%- if custom_tools is defined %}
-    {%- set tools = custom_tools %}
-{%- endif %}
-{%- if not tools_in_user_message is defined %}
-    {%- set tools_in_user_message = true %}
-{%- endif %}
-{%- if not date_string is defined %}
-    {%- set date_string = "26 Jul 2024" %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-
-{#- This block extracts the system message, so we can slot it into the right place. #}
-{%- if messages[0]['role'] == 'system' %}
-    {%- set system_message = messages[0]['content']|trim %}
-    {%- set messages = messages[1:] %}
-{%- else %}
-    {%- set system_message = "" %}
-{%- endif %}
-
-{#- System message + builtin tools #}
-{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
-{%- if builtin_tools is defined or tools is not none %}
-    {{- "Environment: ipython\n" }}
-{%- endif %}
-{%- if builtin_tools is defined %}
-    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
-{%- endif %}
-{{- "Cutting Knowledge Date: December 2023\n" }}
-{{- "Today Date: " + date_string + "\n\n" }}
-{%- if tools is not none and not tools_in_user_message %}
-    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-{%- endif %}
-{{- system_message }}
-{{- "<|eot_id|>" }}
-
-{#- Custom tools are passed in a user message with some extra guidance #}
-{%- if tools_in_user_message and not tools is none %}
-    {#- Extract the first user message so we can plug it in here #}
-    {%- if messages | length != 0 %}
-        {%- set first_user_message = messages[0]['content']|trim %}
-        {%- set messages = messages[1:] %}
-    {%- else %}
-        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
-{%- endif %}
-    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
-    {{- "Given the following functions, please respond with a JSON for a function call " }}
-    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-    {{- first_user_message + "<|eot_id|>"}}
-{%- endif %}
-
-{%- for message in messages %}
-    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
-        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
-    {%- elif 'tool_calls' in message %}
-        {%- if not message.tool_calls|length == 1 %}
-            {{- raise_exception("This model only supports single tool-calls at once!") }}
-        {%- endif %}
-        {%- set tool_call = message.tool_calls[0].function %}
-        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
-            {%- for arg_name, arg_val in tool_call.arguments | items %}
-                {{- arg_name + '="' + arg_val + '"' }}
-                {%- if not loop.last %}
-                    {{- ", " }}
-                {%- endif %}
-                {%- endfor %}
-            {{- ")" }}
-        {%- else  %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- '{"name": "' + tool_call.name + '", ' }}
-            {{- '"parameters": ' }}
-            {{- tool_call.arguments | tojson }}
-            {{- "}" }}
-        {%- endif %}
-        {%- if builtin_tools is defined %}
-            {#- This means we're in ipython mode #}
-            {{- "<|eom_id|>" }}
-        {%- else %}
-            {{- "<|eot_id|>" }}
-        {%- endif %}
-    {%- elif message.role == "tool" or message.role == "ipython" %}
-        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
-        {%- if message.content is mapping or message.content is iterable %}
-            {{- message.content | tojson }}
-        {%- else %}
-            {{- message.content }}
-        {%- endif %}
-        {{- "<|eot_id|>" }}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
-{%- endif %}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/config.json

@@ -1,39 +0,0 @@
-{
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-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "dtype": "float16",
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
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-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 8.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "transformers_version": "4.57.3",
-  "use_cache": false,
-  "vocab_size": 128256
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/generation_config.json

@@ -1,12 +0,0 @@
-{
-  "bos_token_id": 128000,
-  "do_sample": true,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "temperature": 0.6,
-  "top_p": 0.9,
-  "transformers_version": "4.57.3"
-}

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Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/quantization_config.txt

@@ -1,250 +0,0 @@
-# Model: meta-llama/Llama-3.1-8B-Instruct
-# Layer directory: /nfs/scistore19/alistgrp/mhelcig/local/data/search/4_5_6_7_8bit_asym_g128/Llama-3.1-8B-Instruct/6bit/
-# Sensitivity method: shapley
-# Estimation method: permutation_separate
-# Available bitwidths: [4, 8]
-# Bitwidth map: {4: 4.3125, 5: 5.3125, 6: 6.3125, 7: 7.3125, 8: 8.3125}
-#
-# Mode: predicted_constraint_search
-# Constraint max_kl: 0.01
-# Constraint min_eap: 0.99
-# Weights: nll=0.0, kl=0.0, eap=1.0
-#
-# Average bitwidth: 7.5385
-# Total params: 6979321856
-# Total bits: 52613349376
-# Predicted KL: 0.005405
-# Predicted EAP: 0.990085
-# Predicted ETL: 0.009915
-# Satisfies constraints: True
-# Solver calls: 1
-# Evaluations: 0
-#
-# Bitwidth distribution:
-#   8-bit: 201 layers (89.7%)
-#   4-bit: 23 layers (10.3%)
-#
-model.layers.0.self_attn.q_proj: 8
-model.layers.0.self_attn.k_proj: 8
-model.layers.0.self_attn.v_proj: 8
-model.layers.0.self_attn.o_proj: 8
-model.layers.0.mlp.gate_proj: 4
-model.layers.0.mlp.up_proj: 4
-model.layers.0.mlp.down_proj: 8
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-model.layers.1.self_attn.k_proj: 8
-model.layers.1.self_attn.v_proj: 8
-model.layers.1.self_attn.o_proj: 8
-model.layers.1.mlp.gate_proj: 8
-model.layers.1.mlp.up_proj: 8
-model.layers.1.mlp.down_proj: 8
-model.layers.2.self_attn.q_proj: 8
-model.layers.2.self_attn.k_proj: 8
-model.layers.2.self_attn.v_proj: 8
-model.layers.2.self_attn.o_proj: 8
-model.layers.2.mlp.gate_proj: 8
-model.layers.2.mlp.up_proj: 8
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-model.layers.3.self_attn.v_proj: 8
-model.layers.3.self_attn.o_proj: 8
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-model.layers.3.mlp.up_proj: 8
-model.layers.3.mlp.down_proj: 8
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-model.layers.4.mlp.up_proj: 8
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-model.layers.7.mlp.gate_proj: 8
-model.layers.7.mlp.up_proj: 8
-model.layers.7.mlp.down_proj: 4
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-model.layers.8.mlp.up_proj: 8
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-model.layers.10.mlp.up_proj: 8
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Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/special_tokens_map.json

@@ -1,17 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|begin_of_text|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|eot_id|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "<|eot_id|>"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
-size 17209920

Llama-3.1-8B-Instruct/ll_pred_kl0.01_eap0.99_sha_bw7.54_4-8bit/tokenizer_config.json

@@ -1,2063 +0,0 @@
-{
-  "added_tokens_decoder": {
-    "128000": {
-      "content": "<|begin_of_text|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "128001": {
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-      "single_word": false,
-      "special": true
-    },
-    "128002": {
-      "content": "<|reserved_special_token_0|>",
-      "lstrip": false,
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-      "rstrip": false,
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-      "content": "<|reserved_special_token_1|>",
-      "lstrip": false,
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "128004": {
-      "content": "<|finetune_right_pad_id|>",
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-      "single_word": false,
-      "special": true
-    },
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-      "content": "<|reserved_special_token_2|>",
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-      "special": true
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-      "single_word": false,
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-      "special": true
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-      "special": true
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-  "bos_token": "<|begin_of_text|>",
-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|eot_id|>",
-  "extra_special_tokens": {},
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
-  ],
-  "model_max_length": 131072,
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-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/README.md

@@ -1,16 +0,0 @@
-# Quantized Model Checkpoint
-
-**Base model:** meta-llama/Llama-3.1-8B-Instruct
-
-**Average bitwidth:** 6.0048
-
-**Sensitivity method:** linear
-
-**Constraints:**
-- max_kl: 0.01
-
-**Metrics:**
-- predicted_kl: 0.009996
-- predicted_eap: 0.610965
-
-See `quantization_config.txt` for full configuration details.

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/chat_template.jinja

@@ -1,109 +0,0 @@
-{{- bos_token }}
-{%- if custom_tools is defined %}
-    {%- set tools = custom_tools %}
-{%- endif %}
-{%- if not tools_in_user_message is defined %}
-    {%- set tools_in_user_message = true %}
-{%- endif %}
-{%- if not date_string is defined %}
-    {%- set date_string = "26 Jul 2024" %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-
-{#- This block extracts the system message, so we can slot it into the right place. #}
-{%- if messages[0]['role'] == 'system' %}
-    {%- set system_message = messages[0]['content']|trim %}
-    {%- set messages = messages[1:] %}
-{%- else %}
-    {%- set system_message = "" %}
-{%- endif %}
-
-{#- System message + builtin tools #}
-{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
-{%- if builtin_tools is defined or tools is not none %}
-    {{- "Environment: ipython\n" }}
-{%- endif %}
-{%- if builtin_tools is defined %}
-    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
-{%- endif %}
-{{- "Cutting Knowledge Date: December 2023\n" }}
-{{- "Today Date: " + date_string + "\n\n" }}
-{%- if tools is not none and not tools_in_user_message %}
-    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-{%- endif %}
-{{- system_message }}
-{{- "<|eot_id|>" }}
-
-{#- Custom tools are passed in a user message with some extra guidance #}
-{%- if tools_in_user_message and not tools is none %}
-    {#- Extract the first user message so we can plug it in here #}
-    {%- if messages | length != 0 %}
-        {%- set first_user_message = messages[0]['content']|trim %}
-        {%- set messages = messages[1:] %}
-    {%- else %}
-        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
-{%- endif %}
-    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
-    {{- "Given the following functions, please respond with a JSON for a function call " }}
-    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-    {{- first_user_message + "<|eot_id|>"}}
-{%- endif %}
-
-{%- for message in messages %}
-    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
-        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
-    {%- elif 'tool_calls' in message %}
-        {%- if not message.tool_calls|length == 1 %}
-            {{- raise_exception("This model only supports single tool-calls at once!") }}
-        {%- endif %}
-        {%- set tool_call = message.tool_calls[0].function %}
-        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
-            {%- for arg_name, arg_val in tool_call.arguments | items %}
-                {{- arg_name + '="' + arg_val + '"' }}
-                {%- if not loop.last %}
-                    {{- ", " }}
-                {%- endif %}
-                {%- endfor %}
-            {{- ")" }}
-        {%- else  %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- '{"name": "' + tool_call.name + '", ' }}
-            {{- '"parameters": ' }}
-            {{- tool_call.arguments | tojson }}
-            {{- "}" }}
-        {%- endif %}
-        {%- if builtin_tools is defined %}
-            {#- This means we're in ipython mode #}
-            {{- "<|eom_id|>" }}
-        {%- else %}
-            {{- "<|eot_id|>" }}
-        {%- endif %}
-    {%- elif message.role == "tool" or message.role == "ipython" %}
-        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
-        {%- if message.content is mapping or message.content is iterable %}
-            {{- message.content | tojson }}
-        {%- else %}
-            {{- message.content }}
-        {%- endif %}
-        {{- "<|eot_id|>" }}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
-{%- endif %}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/config.json

@@ -1,39 +0,0 @@
-{
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-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "dtype": "float16",
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
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-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 8.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "transformers_version": "4.57.3",
-  "use_cache": false,
-  "vocab_size": 128256
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/generation_config.json

@@ -1,12 +0,0 @@
-{
-  "bos_token_id": 128000,
-  "do_sample": true,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "temperature": 0.6,
-  "top_p": 0.9,
-  "transformers_version": "4.57.3"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/model-00001-of-00004.safetensors

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-    "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
-    "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
-    "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
-    "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
-    "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
-    "model.norm.weight": "model-00004-of-00004.safetensors"
-  }
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/quantization_config.txt

@@ -1,251 +0,0 @@
-# Model: meta-llama/Llama-3.1-8B-Instruct
-# Layer directory: /nfs/scistore19/alistgrp/mhelcig/local/data/search/4_5_6_7_8bit_asym_g128/Llama-3.1-8B-Instruct/6bit/
-# Sensitivity method: linear
-# Estimation method: linear
-# Available bitwidths: [4, 5, 6, 7, 8]
-# Bitwidth map: {4: 4.3125, 5: 5.3125, 6: 6.3125, 7: 7.3125, 8: 8.3125}
-#
-# Mode: predicted_constraint_search
-# Constraint max_kl: 0.01
-# Weights: nll=0.0, kl=0.0, eap=1.0
-#
-# Average bitwidth: 6.0048
-# Total params: 6979321856
-# Total bits: 41909485568
-# Predicted KL: 0.009996
-# Predicted EAP: 0.610965
-# Predicted ETL: 0.389035
-# Satisfies constraints: True
-# Solver calls: 1
-# Evaluations: 0
-#
-# Bitwidth distribution:
-#   8-bit: 26 layers (11.6%)
-#   7-bit: 55 layers (24.6%)
-#   6-bit: 84 layers (37.5%)
-#   5-bit: 59 layers (26.3%)
-#
-model.layers.0.self_attn.q_proj: 8
-model.layers.0.self_attn.k_proj: 8
-model.layers.0.self_attn.v_proj: 8
-model.layers.0.self_attn.o_proj: 6
-model.layers.0.mlp.gate_proj: 5
-model.layers.0.mlp.up_proj: 5
-model.layers.0.mlp.down_proj: 6
-model.layers.1.self_attn.q_proj: 7
-model.layers.1.self_attn.k_proj: 8
-model.layers.1.self_attn.v_proj: 8
-model.layers.1.self_attn.o_proj: 6
-model.layers.1.mlp.gate_proj: 5
-model.layers.1.mlp.up_proj: 5
-model.layers.1.mlp.down_proj: 8
-model.layers.2.self_attn.q_proj: 7
-model.layers.2.self_attn.k_proj: 8
-model.layers.2.self_attn.v_proj: 8
-model.layers.2.self_attn.o_proj: 6
-model.layers.2.mlp.gate_proj: 6
-model.layers.2.mlp.up_proj: 6
-model.layers.2.mlp.down_proj: 5
-model.layers.3.self_attn.q_proj: 7
-model.layers.3.self_attn.k_proj: 8
-model.layers.3.self_attn.v_proj: 8
-model.layers.3.self_attn.o_proj: 6
-model.layers.3.mlp.gate_proj: 6
-model.layers.3.mlp.up_proj: 6
-model.layers.3.mlp.down_proj: 5
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-model.layers.4.self_attn.k_proj: 8
-model.layers.4.self_attn.v_proj: 8
-model.layers.4.self_attn.o_proj: 6
-model.layers.4.mlp.gate_proj: 6
-model.layers.4.mlp.up_proj: 6
-model.layers.4.mlp.down_proj: 5
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-model.layers.5.mlp.up_proj: 6
-model.layers.5.mlp.down_proj: 5
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-model.layers.6.self_attn.v_proj: 7
-model.layers.6.self_attn.o_proj: 6
-model.layers.6.mlp.gate_proj: 6
-model.layers.6.mlp.up_proj: 6
-model.layers.6.mlp.down_proj: 5
-model.layers.7.self_attn.q_proj: 6
-model.layers.7.self_attn.k_proj: 7
-model.layers.7.self_attn.v_proj: 7
-model.layers.7.self_attn.o_proj: 6
-model.layers.7.mlp.gate_proj: 6
-model.layers.7.mlp.up_proj: 6
-model.layers.7.mlp.down_proj: 5
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-model.layers.8.self_attn.v_proj: 7
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-model.layers.8.mlp.gate_proj: 6
-model.layers.8.mlp.up_proj: 5
-model.layers.8.mlp.down_proj: 5
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-model.layers.9.self_attn.k_proj: 8
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-model.layers.9.mlp.gate_proj: 6
-model.layers.9.mlp.up_proj: 5
-model.layers.9.mlp.down_proj: 5
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-model.layers.10.mlp.up_proj: 5
-model.layers.10.mlp.down_proj: 5
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-model.layers.11.self_attn.k_proj: 8
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-model.layers.11.self_attn.o_proj: 6
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Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/special_tokens_map.json

@@ -1,17 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|begin_of_text|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|eot_id|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "<|eot_id|>"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
-size 17209920

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw6.00_5-6-7-8bit/tokenizer_config.json

@@ -1,2063 +0,0 @@
-{
-  "added_tokens_decoder": {
-    "128000": {
-      "content": "<|begin_of_text|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
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-    "128001": {
-      "content": "<|end_of_text|>",
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128002": {
-      "content": "<|reserved_special_token_0|>",
-      "lstrip": false,
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "128003": {
-      "content": "<|reserved_special_token_1|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
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-      "content": "<|finetune_right_pad_id|>",
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
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-      "content": "<|reserved_special_token_2|>",
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-      "content": "<|start_header_id|>",
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-      "single_word": false,
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-      "content": "<|reserved_special_token_241|>",
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-      "special": true
-    }
-  },
-  "bos_token": "<|begin_of_text|>",
-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|eot_id|>",
-  "extra_special_tokens": {},
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
-  ],
-  "model_max_length": 131072,
-  "pad_token": "<|eot_id|>",
-  "tokenizer_class": "PreTrainedTokenizerFast"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw7.56_4-8bit/README.md

@@ -1,16 +0,0 @@
-# Quantized Model Checkpoint
-
-**Base model:** meta-llama/Llama-3.1-8B-Instruct
-
-**Average bitwidth:** 7.5625
-
-**Sensitivity method:** linear
-
-**Constraints:**
-- max_kl: 0.01
-
-**Metrics:**
-- predicted_kl: 0.009987
-- predicted_eap: 0.554600
-
-See `quantization_config.txt` for full configuration details.

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw7.56_4-8bit/chat_template.jinja

@@ -1,109 +0,0 @@
-{{- bos_token }}
-{%- if custom_tools is defined %}
-    {%- set tools = custom_tools %}
-{%- endif %}
-{%- if not tools_in_user_message is defined %}
-    {%- set tools_in_user_message = true %}
-{%- endif %}
-{%- if not date_string is defined %}
-    {%- set date_string = "26 Jul 2024" %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-
-{#- This block extracts the system message, so we can slot it into the right place. #}
-{%- if messages[0]['role'] == 'system' %}
-    {%- set system_message = messages[0]['content']|trim %}
-    {%- set messages = messages[1:] %}
-{%- else %}
-    {%- set system_message = "" %}
-{%- endif %}
-
-{#- System message + builtin tools #}
-{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
-{%- if builtin_tools is defined or tools is not none %}
-    {{- "Environment: ipython\n" }}
-{%- endif %}
-{%- if builtin_tools is defined %}
-    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
-{%- endif %}
-{{- "Cutting Knowledge Date: December 2023\n" }}
-{{- "Today Date: " + date_string + "\n\n" }}
-{%- if tools is not none and not tools_in_user_message %}
-    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-{%- endif %}
-{{- system_message }}
-{{- "<|eot_id|>" }}
-
-{#- Custom tools are passed in a user message with some extra guidance #}
-{%- if tools_in_user_message and not tools is none %}
-    {#- Extract the first user message so we can plug it in here #}
-    {%- if messages | length != 0 %}
-        {%- set first_user_message = messages[0]['content']|trim %}
-        {%- set messages = messages[1:] %}
-    {%- else %}
-        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
-{%- endif %}
-    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
-    {{- "Given the following functions, please respond with a JSON for a function call " }}
-    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.\n\n" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "\n\n" }}
-    {%- endfor %}
-    {{- first_user_message + "<|eot_id|>"}}
-{%- endif %}
-
-{%- for message in messages %}
-    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
-        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
-    {%- elif 'tool_calls' in message %}
-        {%- if not message.tool_calls|length == 1 %}
-            {{- raise_exception("This model only supports single tool-calls at once!") }}
-        {%- endif %}
-        {%- set tool_call = message.tool_calls[0].function %}
-        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
-            {%- for arg_name, arg_val in tool_call.arguments | items %}
-                {{- arg_name + '="' + arg_val + '"' }}
-                {%- if not loop.last %}
-                    {{- ", " }}
-                {%- endif %}
-                {%- endfor %}
-            {{- ")" }}
-        {%- else  %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
-            {{- '{"name": "' + tool_call.name + '", ' }}
-            {{- '"parameters": ' }}
-            {{- tool_call.arguments | tojson }}
-            {{- "}" }}
-        {%- endif %}
-        {%- if builtin_tools is defined %}
-            {#- This means we're in ipython mode #}
-            {{- "<|eom_id|>" }}
-        {%- else %}
-            {{- "<|eot_id|>" }}
-        {%- endif %}
-    {%- elif message.role == "tool" or message.role == "ipython" %}
-        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
-        {%- if message.content is mapping or message.content is iterable %}
-            {{- message.content | tojson }}
-        {%- else %}
-            {{- message.content }}
-        {%- endif %}
-        {{- "<|eot_id|>" }}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
-{%- endif %}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw7.56_4-8bit/config.json

@@ -1,39 +0,0 @@
-{
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "dtype": "float16",
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 8.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "transformers_version": "4.57.3",
-  "use_cache": false,
-  "vocab_size": 128256
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw7.56_4-8bit/generation_config.json

@@ -1,12 +0,0 @@
-{
-  "bos_token_id": 128000,
-  "do_sample": true,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "temperature": 0.6,
-  "top_p": 0.9,
-  "transformers_version": "4.57.3"
-}

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw7.56_4-8bit/model-00001-of-00004.safetensors

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-size 4976698592

Llama-3.1-8B-Instruct/ll_pred_kl0.01_lin_bw7.56_4-8bit/model-00002-of-00004.safetensors

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