diff --git a/.gitattributes b/.gitattributes
index 372f91d6cf973592ed6ba04100a246aa2c762ac9..4653992996507d5b9cb5137906e622ad59373541 100644
--- a/.gitattributes
+++ b/.gitattributes
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..4818a85d344168dbd9be6fdcbd6dcca53ef50e81
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 5.5388
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003809
+- final_eap: 0.985003
+- final_etl: 0.014997
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b4cb59c125f9a894d20c36c4bec90c2ceafc3611
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,253 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 5.5388
+# Total params: 6979321856
+# Total bits: 38657155138
+# Final KL: 0.003809
+# Final EAP: 0.985003
+# Final ETL: 0.014997
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 63 layers (28.1%)
+#   7-bit: 21 layers (9.4%)
+#   6-bit: 50 layers (22.3%)
+#   5-bit: 89 layers (39.7%)
+#   4-bit: 1 layers (0.4%)
+#
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/special_tokens_map.json
@@ -0,0 +1,17 @@
+{
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+    "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|>"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c1d8d5c9024994f1d3b00f9662b8dd89ca13cf2
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/tokenizer.json
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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
+size 17209920
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/tokenizer_config.json
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+      "lstrip": false,
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+      "lstrip": false,
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+    },
+    "128241": {
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+      "lstrip": false,
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+    },
+    "128244": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
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+      "lstrip": false,
+      "normalized": false,
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+    },
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+      "lstrip": false,
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+      "single_word": false,
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+    },
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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,
+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..ba727bc2744fd39dcbba775d92cea40931b2b041
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 5.5935
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003708
+- final_eap: 0.985042
+- final_etl: 0.014958
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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+version https://git-lfs.github.com/spec/v1
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+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f31c361ead86b51590c20240503b1324fa281242
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/quantization_config.txt
@@ -0,0 +1,252 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 5.5935
+# Total params: 6979321856
+# Total bits: 39038836802
+# Final KL: 0.003708
+# Final EAP: 0.985042
+# Final ETL: 0.014958
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 64 layers (28.6%)
+#   7-bit: 32 layers (14.3%)
+#   6-bit: 40 layers (17.9%)
+#   5-bit: 88 layers (39.3%)
+#
+model.layers.0.self_attn.q_proj: 6
+model.layers.0.self_attn.k_proj: 8
+model.layers.0.self_attn.v_proj: 8
+model.layers.0.self_attn.o_proj: 7
+model.layers.0.mlp.gate_proj: 5
+model.layers.0.mlp.up_proj: 5
+model.layers.0.mlp.down_proj: 5
+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: 7
+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: 5
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+model.layers.3.self_attn.q_proj: 7
+model.layers.3.self_attn.k_proj: 8
+model.layers.3.self_attn.v_proj: 8
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+model.layers.3.mlp.gate_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
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/special_tokens_map.json
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/tokenizer_config.json
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+      "lstrip": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..87342690fd76bd1e241c66acb296e6b5f5813907
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.0358
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003706
+- final_eap: 0.985132
+- final_etl: 0.014868
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/config.json
@@ -0,0 +1,39 @@
+{
+  "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,
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b8d252087d94570e37d599954127da59506d63a2
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.0358
+# Total params: 6979321856
+# Total bits: 49105166402
+# Final KL: 0.003706
+# Final EAP: 0.985132
+# Final ETL: 0.014868
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 190 layers (84.8%)
+#   4-bit: 34 layers (15.2%)
+#
+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
+model.layers.1.self_attn.q_proj: 8
+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
+model.layers.2.mlp.down_proj: 4
+model.layers.3.self_attn.q_proj: 8
+model.layers.3.self_attn.k_proj: 8
+model.layers.3.self_attn.v_proj: 8
+model.layers.3.self_attn.o_proj: 8
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+model.layers.4.self_attn.q_proj: 8
+model.layers.4.self_attn.k_proj: 8
+model.layers.4.self_attn.v_proj: 8
+model.layers.4.self_attn.o_proj: 8
+model.layers.4.mlp.gate_proj: 8
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+model.layers.5.self_attn.q_proj: 8
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+model.layers.5.self_attn.v_proj: 8
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+model.layers.6.self_attn.v_proj: 8
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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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+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..ce87c4834be8b21ee6f89555ae965963cb4f1c17
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.0358
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003670
+- final_eap: 0.985060
+- final_etl: 0.014940
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e9eb8245d5823698b4f697711ed95561ecf81b82
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.985_sha_bw7.04_4-8bit_seed42/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.0358
+# Total params: 6979321856
+# Total bits: 49105166402
+# Final KL: 0.003670
+# Final EAP: 0.985060
+# Final ETL: 0.014940
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 190 layers (84.8%)
+#   4-bit: 34 layers (15.2%)
+#
+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
+model.layers.1.self_attn.q_proj: 8
+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
+model.layers.2.mlp.down_proj: 4
+model.layers.3.self_attn.q_proj: 8
+model.layers.3.self_attn.k_proj: 8
+model.layers.3.self_attn.v_proj: 8
+model.layers.3.self_attn.o_proj: 8
+model.layers.3.mlp.gate_proj: 8
+model.layers.3.mlp.up_proj: 8
+model.layers.3.mlp.down_proj: 8
+model.layers.4.self_attn.q_proj: 8
+model.layers.4.self_attn.k_proj: 8
+model.layers.4.self_attn.v_proj: 8
+model.layers.4.self_attn.o_proj: 8
+model.layers.4.mlp.gate_proj: 8
+model.layers.4.mlp.up_proj: 8
+model.layers.4.mlp.down_proj: 8
+model.layers.5.self_attn.q_proj: 8
+model.layers.5.self_attn.k_proj: 8
+model.layers.5.self_attn.v_proj: 8
+model.layers.5.self_attn.o_proj: 8
+model.layers.5.mlp.gate_proj: 8
+model.layers.5.mlp.up_proj: 8
+model.layers.5.mlp.down_proj: 4
+model.layers.6.self_attn.q_proj: 8
+model.layers.6.self_attn.k_proj: 8
+model.layers.6.self_attn.v_proj: 8
+model.layers.6.self_attn.o_proj: 8
+model.layers.6.mlp.gate_proj: 8
+model.layers.6.mlp.up_proj: 8
+model.layers.6.mlp.down_proj: 8
+model.layers.7.self_attn.q_proj: 8
+model.layers.7.self_attn.k_proj: 8
+model.layers.7.self_attn.v_proj: 8
+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
+model.layers.8.self_attn.q_proj: 8
+model.layers.8.self_attn.k_proj: 8
+model.layers.8.self_attn.v_proj: 8
+model.layers.8.self_attn.o_proj: 8
+model.layers.8.mlp.gate_proj: 8
+model.layers.8.mlp.up_proj: 8
+model.layers.8.mlp.down_proj: 4
+model.layers.9.self_attn.q_proj: 8
+model.layers.9.self_attn.k_proj: 8
+model.layers.9.self_attn.v_proj: 8
+model.layers.9.self_attn.o_proj: 8
+model.layers.9.mlp.gate_proj: 8
+model.layers.9.mlp.up_proj: 8
+model.layers.9.mlp.down_proj: 4
+model.layers.10.self_attn.q_proj: 8
+model.layers.10.self_attn.k_proj: 8
+model.layers.10.self_attn.v_proj: 8
+model.layers.10.self_attn.o_proj: 8
+model.layers.10.mlp.gate_proj: 8
+model.layers.10.mlp.up_proj: 8
+model.layers.10.mlp.down_proj: 4
+model.layers.11.self_attn.q_proj: 8
+model.layers.11.self_attn.k_proj: 8
+model.layers.11.self_attn.v_proj: 8
+model.layers.11.self_attn.o_proj: 8
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+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..fc9c55f53dacb233b90490f9695414eb23bb60ad
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 6.1872
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001696
+- final_eap: 0.990086
+- final_etl: 0.009914
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..92f8d27bdeac06db8908985e83b815237fe0e5c3
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,252 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 6.1872
+# Total params: 6979321856
+# Total bits: 43182809154
+# Final KL: 0.001696
+# Final EAP: 0.990086
+# Final ETL: 0.009914
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 69 layers (30.8%)
+#   7-bit: 54 layers (24.1%)
+#   6-bit: 73 layers (32.6%)
+#   5-bit: 28 layers (12.5%)
+#
+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
+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: 7
+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: 8
+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: 6
+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: 7
+model.layers.3.mlp.gate_proj: 6
+model.layers.3.mlp.up_proj: 6
+model.layers.3.mlp.down_proj: 6
+model.layers.4.self_attn.q_proj: 7
+model.layers.4.self_attn.k_proj: 8
+model.layers.4.self_attn.v_proj: 8
+model.layers.4.self_attn.o_proj: 7
+model.layers.4.mlp.gate_proj: 6
+model.layers.4.mlp.up_proj: 6
+model.layers.4.mlp.down_proj: 6
+model.layers.5.self_attn.q_proj: 7
+model.layers.5.self_attn.k_proj: 8
+model.layers.5.self_attn.v_proj: 8
+model.layers.5.self_attn.o_proj: 7
+model.layers.5.mlp.gate_proj: 6
+model.layers.5.mlp.up_proj: 6
+model.layers.5.mlp.down_proj: 6
+model.layers.6.self_attn.q_proj: 7
+model.layers.6.self_attn.k_proj: 8
+model.layers.6.self_attn.v_proj: 8
+model.layers.6.self_attn.o_proj: 7
+model.layers.6.mlp.gate_proj: 5
+model.layers.6.mlp.up_proj: 5
+model.layers.6.mlp.down_proj: 6
+model.layers.7.self_attn.q_proj: 7
+model.layers.7.self_attn.k_proj: 8
+model.layers.7.self_attn.v_proj: 8
+model.layers.7.self_attn.o_proj: 7
+model.layers.7.mlp.gate_proj: 5
+model.layers.7.mlp.up_proj: 5
+model.layers.7.mlp.down_proj: 5
+model.layers.8.self_attn.q_proj: 7
+model.layers.8.self_attn.k_proj: 8
+model.layers.8.self_attn.v_proj: 8
+model.layers.8.self_attn.o_proj: 7
+model.layers.8.mlp.gate_proj: 5
+model.layers.8.mlp.up_proj: 5
+model.layers.8.mlp.down_proj: 5
+model.layers.9.self_attn.q_proj: 8
+model.layers.9.self_attn.k_proj: 8
+model.layers.9.self_attn.v_proj: 8
+model.layers.9.self_attn.o_proj: 7
+model.layers.9.mlp.gate_proj: 6
+model.layers.9.mlp.up_proj: 6
+model.layers.9.mlp.down_proj: 6
+model.layers.10.self_attn.q_proj: 7
+model.layers.10.self_attn.k_proj: 8
+model.layers.10.self_attn.v_proj: 8
+model.layers.10.self_attn.o_proj: 7
+model.layers.10.mlp.gate_proj: 6
+model.layers.10.mlp.up_proj: 6
+model.layers.10.mlp.down_proj: 5
+model.layers.11.self_attn.q_proj: 7
+model.layers.11.self_attn.k_proj: 8
+model.layers.11.self_attn.v_proj: 8
+model.layers.11.self_attn.o_proj: 7
+model.layers.11.mlp.gate_proj: 6
+model.layers.11.mlp.up_proj: 6
+model.layers.11.mlp.down_proj: 5
+model.layers.12.self_attn.q_proj: 7
+model.layers.12.self_attn.k_proj: 8
+model.layers.12.self_attn.v_proj: 8
+model.layers.12.self_attn.o_proj: 7
+model.layers.12.mlp.gate_proj: 6
+model.layers.12.mlp.up_proj: 6
+model.layers.12.mlp.down_proj: 5
+model.layers.13.self_attn.q_proj: 7
+model.layers.13.self_attn.k_proj: 8
+model.layers.13.self_attn.v_proj: 8
+model.layers.13.self_attn.o_proj: 7
+model.layers.13.mlp.gate_proj: 6
+model.layers.13.mlp.up_proj: 6
+model.layers.13.mlp.down_proj: 6
+model.layers.14.self_attn.q_proj: 7
+model.layers.14.self_attn.k_proj: 8
+model.layers.14.self_attn.v_proj: 8
+model.layers.14.self_attn.o_proj: 7
+model.layers.14.mlp.gate_proj: 6
+model.layers.14.mlp.up_proj: 6
+model.layers.14.mlp.down_proj: 5
+model.layers.15.self_attn.q_proj: 7
+model.layers.15.self_attn.k_proj: 8
+model.layers.15.self_attn.v_proj: 8
+model.layers.15.self_attn.o_proj: 7
+model.layers.15.mlp.gate_proj: 6
+model.layers.15.mlp.up_proj: 6
+model.layers.15.mlp.down_proj: 6
+model.layers.16.self_attn.q_proj: 8
+model.layers.16.self_attn.k_proj: 8
+model.layers.16.self_attn.v_proj: 8
+model.layers.16.self_attn.o_proj: 7
+model.layers.16.mlp.gate_proj: 6
+model.layers.16.mlp.up_proj: 6
+model.layers.16.mlp.down_proj: 6
+model.layers.17.self_attn.q_proj: 7
+model.layers.17.self_attn.k_proj: 8
+model.layers.17.self_attn.v_proj: 8
+model.layers.17.self_attn.o_proj: 7
+model.layers.17.mlp.gate_proj: 6
+model.layers.17.mlp.up_proj: 6
+model.layers.17.mlp.down_proj: 6
+model.layers.18.self_attn.q_proj: 7
+model.layers.18.self_attn.k_proj: 8
+model.layers.18.self_attn.v_proj: 8
+model.layers.18.self_attn.o_proj: 7
+model.layers.18.mlp.gate_proj: 6
+model.layers.18.mlp.up_proj: 6
+model.layers.18.mlp.down_proj: 6
+model.layers.19.self_attn.q_proj: 7
+model.layers.19.self_attn.k_proj: 8
+model.layers.19.self_attn.v_proj: 8
+model.layers.19.self_attn.o_proj: 6
+model.layers.19.mlp.gate_proj: 6
+model.layers.19.mlp.up_proj: 6
+model.layers.19.mlp.down_proj: 6
+model.layers.20.self_attn.q_proj: 7
+model.layers.20.self_attn.k_proj: 8
+model.layers.20.self_attn.v_proj: 8
+model.layers.20.self_attn.o_proj: 7
+model.layers.20.mlp.gate_proj: 6
+model.layers.20.mlp.up_proj: 6
+model.layers.20.mlp.down_proj: 5
+model.layers.21.self_attn.q_proj: 7
+model.layers.21.self_attn.k_proj: 8
+model.layers.21.self_attn.v_proj: 8
+model.layers.21.self_attn.o_proj: 7
+model.layers.21.mlp.gate_proj: 6
+model.layers.21.mlp.up_proj: 6
+model.layers.21.mlp.down_proj: 6
+model.layers.22.self_attn.q_proj: 7
+model.layers.22.self_attn.k_proj: 8
+model.layers.22.self_attn.v_proj: 8
+model.layers.22.self_attn.o_proj: 7
+model.layers.22.mlp.gate_proj: 5
+model.layers.22.mlp.up_proj: 5
+model.layers.22.mlp.down_proj: 5
+model.layers.23.self_attn.q_proj: 7
+model.layers.23.self_attn.k_proj: 8
+model.layers.23.self_attn.v_proj: 8
+model.layers.23.self_attn.o_proj: 6
+model.layers.23.mlp.gate_proj: 6
+model.layers.23.mlp.up_proj: 6
+model.layers.23.mlp.down_proj: 6
+model.layers.24.self_attn.q_proj: 7
+model.layers.24.self_attn.k_proj: 8
+model.layers.24.self_attn.v_proj: 8
+model.layers.24.self_attn.o_proj: 6
+model.layers.24.mlp.gate_proj: 5
+model.layers.24.mlp.up_proj: 5
+model.layers.24.mlp.down_proj: 5
+model.layers.25.self_attn.q_proj: 7
+model.layers.25.self_attn.k_proj: 8
+model.layers.25.self_attn.v_proj: 8
+model.layers.25.self_attn.o_proj: 6
+model.layers.25.mlp.gate_proj: 6
+model.layers.25.mlp.up_proj: 6
+model.layers.25.mlp.down_proj: 5
+model.layers.26.self_attn.q_proj: 7
+model.layers.26.self_attn.k_proj: 8
+model.layers.26.self_attn.v_proj: 8
+model.layers.26.self_attn.o_proj: 6
+model.layers.26.mlp.gate_proj: 6
+model.layers.26.mlp.up_proj: 6
+model.layers.26.mlp.down_proj: 5
+model.layers.27.self_attn.q_proj: 7
+model.layers.27.self_attn.k_proj: 8
+model.layers.27.self_attn.v_proj: 8
+model.layers.27.self_attn.o_proj: 6
+model.layers.27.mlp.gate_proj: 6
+model.layers.27.mlp.up_proj: 6
+model.layers.27.mlp.down_proj: 5
+model.layers.28.self_attn.q_proj: 7
+model.layers.28.self_attn.k_proj: 8
+model.layers.28.self_attn.v_proj: 8
+model.layers.28.self_attn.o_proj: 6
+model.layers.28.mlp.gate_proj: 6
+model.layers.28.mlp.up_proj: 6
+model.layers.28.mlp.down_proj: 5
+model.layers.29.self_attn.q_proj: 7
+model.layers.29.self_attn.k_proj: 8
+model.layers.29.self_attn.v_proj: 8
+model.layers.29.self_attn.o_proj: 6
+model.layers.29.mlp.gate_proj: 6
+model.layers.29.mlp.up_proj: 6
+model.layers.29.mlp.down_proj: 5
+model.layers.30.self_attn.q_proj: 7
+model.layers.30.self_attn.k_proj: 8
+model.layers.30.self_attn.v_proj: 8
+model.layers.30.self_attn.o_proj: 7
+model.layers.30.mlp.gate_proj: 6
+model.layers.30.mlp.up_proj: 6
+model.layers.30.mlp.down_proj: 6
+model.layers.31.self_attn.q_proj: 7
+model.layers.31.self_attn.k_proj: 8
+model.layers.31.self_attn.v_proj: 8
+model.layers.31.self_attn.o_proj: 7
+model.layers.31.mlp.gate_proj: 7
+model.layers.31.mlp.up_proj: 7
+model.layers.31.mlp.down_proj: 8
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/special_tokens_map.json
@@ -0,0 +1,17 @@
+{
+  "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|>"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c1d8d5c9024994f1d3b00f9662b8dd89ca13cf2
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
+size 17209920
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer_config.json
@@ -0,0 +1,2063 @@
+{
+  "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,
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+    "128007": {
+      "content": "<|end_header_id|>",
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+    },
+    "128008": {
+      "content": "<|eom_id|>",
+      "lstrip": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128009": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    "128010": {
+      "content": "<|python_tag|>",
+      "lstrip": false,
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+      "lstrip": false,
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+      "special": true
+    },
+    "128239": {
+      "content": "<|reserved_special_token_231|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128240": {
+      "content": "<|reserved_special_token_232|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128241": {
+      "content": "<|reserved_special_token_233|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128242": {
+      "content": "<|reserved_special_token_234|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128243": {
+      "content": "<|reserved_special_token_235|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128244": {
+      "content": "<|reserved_special_token_236|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
+      "content": "<|reserved_special_token_237|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128248": {
+      "content": "<|reserved_special_token_240|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_241|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
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+    },
+    "128252": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "128253": {
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+      "lstrip": false,
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+      "single_word": false,
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+    },
+    "128254": {
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+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..3e7482717c0e5820ee1fe70a073171f39b54f070
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 6.1872
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001608
+- final_eap: 0.990021
+- final_etl: 0.009979
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e04f5901f87d10e58012f112475e4801af94f030
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/quantization_config.txt
@@ -0,0 +1,252 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 6.1872
+# Total params: 6979321856
+# Total bits: 43182809154
+# Final KL: 0.001608
+# Final EAP: 0.990021
+# Final ETL: 0.009979
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 69 layers (30.8%)
+#   7-bit: 54 layers (24.1%)
+#   6-bit: 73 layers (32.6%)
+#   5-bit: 28 layers (12.5%)
+#
+model.layers.0.self_attn.q_proj: 7
+model.layers.0.self_attn.k_proj: 8
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/special_tokens_map.json
@@ -0,0 +1,17 @@
+{
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+    "content": "<|begin_of_text|>",
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+    "content": "<|eot_id|>",
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c1d8d5c9024994f1d3b00f9662b8dd89ca13cf2
--- /dev/null
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+size 17209920
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/tokenizer_config.json
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+    },
+    "128241": {
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+    },
+    "128244": {
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+      "lstrip": false,
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+    },
+    "128245": {
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+      "lstrip": false,
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+    },
+    "128246": {
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+      "lstrip": false,
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+    },
+    "128247": {
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+      "lstrip": false,
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+    },
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+    },
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+    },
+    "128253": {
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+      "lstrip": false,
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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,
+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e3e0173ed15827fb2a550581d6c54e464164074d
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.7425
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001747
+- final_eap: 0.990022
+- final_etl: 0.009978
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/model.safetensors.index.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/model.safetensors.index.json
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..13b9e76765c3c92528a1eefe9043d3fda388783f
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.7425
+# Total params: 6979321856
+# Total bits: 54037667906
+# Final KL: 0.001747
+# Final EAP: 0.990022
+# Final ETL: 0.009978
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 211 layers (94.2%)
+#   4-bit: 13 layers (5.8%)
+#
+model.layers.0.self_attn.q_proj: 8
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/special_tokens_map.json
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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/tokenizer.json
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+size 17209920
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed1234/tokenizer_config.json
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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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+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..b4c3e7e5b82674f77ca5c839b653afd4b125da67
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.7425
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001562
+- final_eap: 0.990039
+- final_etl: 0.009961
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/model-00001-of-00004.safetensors b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/model-00001-of-00004.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..df0d353583539d7603192fb456743fd52816e29f
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/model-00001-of-00004.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f1a29520be6f1f45ad2bba5ba4a68f667c3f5dae
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.005_eap0.99_sha_bw7.74_4-8bit_seed42/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.7425
+# Total params: 6979321856
+# Total bits: 54037667906
+# Final KL: 0.001562
+# Final EAP: 0.990039
+# Final ETL: 0.009961
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 211 layers (94.2%)
+#   4-bit: 13 layers (5.8%)
+#
+model.layers.0.self_attn.q_proj: 8
+model.layers.0.self_attn.k_proj: 8
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+model.layers.0.mlp.gate_proj: 4
+model.layers.0.mlp.up_proj: 4
+model.layers.0.mlp.down_proj: 8
+model.layers.1.self_attn.q_proj: 8
+model.layers.1.self_attn.k_proj: 8
+model.layers.1.self_attn.v_proj: 8
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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,
+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..9d7879985242e347a7cb1329cb9144c6d399bd86
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 5.5388
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003809
+- final_eap: 0.985003
+- final_etl: 0.014997
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f7d2d5c625b3f56e3306dfe014560803cde3572b
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.54_4-5-6-7-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,253 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 5.5388
+# Total params: 6979321856
+# Total bits: 38657155138
+# Final KL: 0.003809
+# Final EAP: 0.985003
+# Final ETL: 0.014997
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 63 layers (28.1%)
+#   7-bit: 21 layers (9.4%)
+#   6-bit: 50 layers (22.3%)
+#   5-bit: 89 layers (39.7%)
+#   4-bit: 1 layers (0.4%)
+#
+model.layers.0.self_attn.q_proj: 6
+model.layers.0.self_attn.k_proj: 8
+model.layers.0.self_attn.v_proj: 7
+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: 5
+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: 7
+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: 5
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+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: 5
+model.layers.3.mlp.up_proj: 5
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+model.layers.4.self_attn.q_proj: 7
+model.layers.4.self_attn.k_proj: 8
+model.layers.4.self_attn.v_proj: 8
+model.layers.4.self_attn.o_proj: 6
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+model.layers.5.self_attn.q_proj: 6
+model.layers.5.self_attn.k_proj: 8
+model.layers.5.self_attn.v_proj: 8
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+model.layers.6.self_attn.q_proj: 6
+model.layers.6.self_attn.k_proj: 8
+model.layers.6.self_attn.v_proj: 8
+model.layers.6.self_attn.o_proj: 6
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+model.layers.7.self_attn.q_proj: 6
+model.layers.7.self_attn.k_proj: 8
+model.layers.7.self_attn.v_proj: 8
+model.layers.7.self_attn.o_proj: 6
+model.layers.7.mlp.gate_proj: 5
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+model.layers.8.self_attn.q_proj: 6
+model.layers.8.self_attn.k_proj: 8
+model.layers.8.self_attn.v_proj: 8
+model.layers.8.self_attn.o_proj: 6
+model.layers.8.mlp.gate_proj: 5
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..10be6db967c23d0f0298adb0ea1b8f4c20e44beb
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 5.5935
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003708
+- final_eap: 0.985042
+- final_etl: 0.014958
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/generation_config.json
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+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6f50c2ce3200d099656b057d30bf1a8720883808
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw5.59_5-6-7-8bit_seed42/quantization_config.txt
@@ -0,0 +1,252 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 5.5935
+# Total params: 6979321856
+# Total bits: 39038836802
+# Final KL: 0.003708
+# Final EAP: 0.985042
+# Final ETL: 0.014958
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 64 layers (28.6%)
+#   7-bit: 32 layers (14.3%)
+#   6-bit: 40 layers (17.9%)
+#   5-bit: 88 layers (39.3%)
+#
+model.layers.0.self_attn.q_proj: 6
+model.layers.0.self_attn.k_proj: 8
+model.layers.0.self_attn.v_proj: 8
+model.layers.0.self_attn.o_proj: 7
+model.layers.0.mlp.gate_proj: 5
+model.layers.0.mlp.up_proj: 5
+model.layers.0.mlp.down_proj: 5
+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: 7
+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: 5
+model.layers.2.mlp.up_proj: 5
+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: 5
+model.layers.3.mlp.up_proj: 5
+model.layers.3.mlp.down_proj: 5
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+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128248": {
+      "content": "<|reserved_special_token_240|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_241|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
+      "content": "<|reserved_special_token_242|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
+      "content": "<|reserved_special_token_243|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128252": {
+      "content": "<|reserved_special_token_244|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
+      "content": "<|reserved_special_token_245|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128254": {
+      "content": "<|reserved_special_token_246|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128255": {
+      "content": "<|reserved_special_token_247|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..484ef28dbfe2adedecc0539349c3e1e69beb776f
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.0358
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003706
+- final_eap: 0.985132
+- final_etl: 0.014868
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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+    "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "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"
+  }
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..91c355e5a8bc19e3551fb27fab176960621dfd84
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.0358
+# Total params: 6979321856
+# Total bits: 49105166402
+# Final KL: 0.003706
+# Final EAP: 0.985132
+# Final ETL: 0.014868
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 190 layers (84.8%)
+#   4-bit: 34 layers (15.2%)
+#
+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
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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
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+model.layers.2.self_attn.k_proj: 8
+model.layers.2.self_attn.v_proj: 8
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+model.layers.2.mlp.up_proj: 8
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/special_tokens_map.json
@@ -0,0 +1,17 @@
+{
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c1d8d5c9024994f1d3b00f9662b8dd89ca13cf2
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/tokenizer.json
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed1234/tokenizer_config.json
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+      "lstrip": false,
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+    },
+    "128231": {
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128232": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
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+      "lstrip": false,
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+    },
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
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+    },
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+    },
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+      "lstrip": false,
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+      "special": true
+    },
+    "128239": {
+      "content": "<|reserved_special_token_231|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128240": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128241": {
+      "content": "<|reserved_special_token_233|>",
+      "lstrip": false,
+      "normalized": false,
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+    },
+    "128242": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128243": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128244": {
+      "content": "<|reserved_special_token_236|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
+      "content": "<|reserved_special_token_237|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "128248": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128249": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "128250": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "128252": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
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+    },
+    "128254": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..f9c822cbbd90af52c4dedeb32998cac870f03e64
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.0358
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.003670
+- final_eap: 0.985060
+- final_etl: 0.014940
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/model-00001-of-00004.safetensors b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/model-00001-of-00004.safetensors
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..722bbcc5d02ef07b55aa5dd6ac3c4a271de62fbe
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.0358
+# Total params: 6979321856
+# Total bits: 49105166402
+# Final KL: 0.003670
+# Final EAP: 0.985060
+# Final ETL: 0.014940
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 190 layers (84.8%)
+#   4-bit: 34 layers (15.2%)
+#
+model.layers.0.self_attn.q_proj: 8
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/special_tokens_map.json
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.985_sha_bw7.04_4-8bit_seed42/tokenizer.json
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+    "128241": {
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+    },
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+      "lstrip": false,
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+    },
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+      "lstrip": false,
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+    },
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+      "lstrip": false,
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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,
+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..9dfc904cfe74eae13fc3ec25e0d3030b11deaad8
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 6.1872
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001696
+- final_eap: 0.990086
+- final_etl: 0.009914
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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+version https://git-lfs.github.com/spec/v1
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+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d74a19d894fb2e2cda7270f8a0f2a8f369dcf433
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,252 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 6.1872
+# Total params: 6979321856
+# Total bits: 43182809154
+# Final KL: 0.001696
+# Final EAP: 0.990086
+# Final ETL: 0.009914
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 69 layers (30.8%)
+#   7-bit: 54 layers (24.1%)
+#   6-bit: 73 layers (32.6%)
+#   5-bit: 28 layers (12.5%)
+#
+model.layers.0.self_attn.q_proj: 7
+model.layers.0.self_attn.k_proj: 8
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+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: 7
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/special_tokens_map.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/special_tokens_map.json
@@ -0,0 +1,17 @@
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer.json
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed1234/tokenizer_config.json
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index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..0727cd5194ea792e2d101f084767fafc908f8e85
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 6.1872
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001608
+- final_eap: 0.990021
+- final_etl: 0.009979
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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,
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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..392f5f5893f8f7a3e60fa049e1a1f1893e22a4aa
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw6.19_5-6-7-8bit_seed42/quantization_config.txt
@@ -0,0 +1,252 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 6.1872
+# Total params: 6979321856
+# Total bits: 43182809154
+# Final KL: 0.001608
+# Final EAP: 0.990021
+# Final ETL: 0.009979
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 69 layers (30.8%)
+#   7-bit: 54 layers (24.1%)
+#   6-bit: 73 layers (32.6%)
+#   5-bit: 28 layers (12.5%)
+#
+model.layers.0.self_attn.q_proj: 7
+model.layers.0.self_attn.k_proj: 8
+model.layers.0.self_attn.v_proj: 8
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+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
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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"
+  ],
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+  "pad_token": "<|eot_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..a6b918bbfbde656e3b03ade0ba2361b0ed153ac9
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.7425
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001747
+- final_eap: 0.990022
+- final_etl: 0.009978
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/config.json
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..61d573c8d9251c3331820791905c524b6c1f4edf
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed1234/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.7425
+# Total params: 6979321856
+# Total bits: 54037667906
+# Final KL: 0.001747
+# Final EAP: 0.990022
+# Final ETL: 0.009978
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 211 layers (94.2%)
+#   4-bit: 13 layers (5.8%)
+#
+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
+model.layers.1.self_attn.q_proj: 8
+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
+model.layers.2.mlp.down_proj: 4
+model.layers.3.self_attn.q_proj: 8
+model.layers.3.self_attn.k_proj: 8
+model.layers.3.self_attn.v_proj: 8
+model.layers.3.self_attn.o_proj: 8
+model.layers.3.mlp.gate_proj: 8
+model.layers.3.mlp.up_proj: 8
+model.layers.3.mlp.down_proj: 8
+model.layers.4.self_attn.q_proj: 8
+model.layers.4.self_attn.k_proj: 8
+model.layers.4.self_attn.v_proj: 8
+model.layers.4.self_attn.o_proj: 8
+model.layers.4.mlp.gate_proj: 8
+model.layers.4.mlp.up_proj: 8
+model.layers.4.mlp.down_proj: 8
+model.layers.5.self_attn.q_proj: 8
+model.layers.5.self_attn.k_proj: 8
+model.layers.5.self_attn.v_proj: 8
+model.layers.5.self_attn.o_proj: 8
+model.layers.5.mlp.gate_proj: 8
+model.layers.5.mlp.up_proj: 8
+model.layers.5.mlp.down_proj: 8
+model.layers.6.self_attn.q_proj: 8
+model.layers.6.self_attn.k_proj: 8
+model.layers.6.self_attn.v_proj: 8
+model.layers.6.self_attn.o_proj: 8
+model.layers.6.mlp.gate_proj: 8
+model.layers.6.mlp.up_proj: 8
+model.layers.6.mlp.down_proj: 8
+model.layers.7.self_attn.q_proj: 8
+model.layers.7.self_attn.k_proj: 8
+model.layers.7.self_attn.v_proj: 8
+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
+model.layers.8.self_attn.q_proj: 8
+model.layers.8.self_attn.k_proj: 8
+model.layers.8.self_attn.v_proj: 8
+model.layers.8.self_attn.o_proj: 8
+model.layers.8.mlp.gate_proj: 8
+model.layers.8.mlp.up_proj: 8
+model.layers.8.mlp.down_proj: 4
+model.layers.9.self_attn.q_proj: 8
+model.layers.9.self_attn.k_proj: 8
+model.layers.9.self_attn.v_proj: 8
+model.layers.9.self_attn.o_proj: 8
+model.layers.9.mlp.gate_proj: 8
+model.layers.9.mlp.up_proj: 8
+model.layers.9.mlp.down_proj: 8
+model.layers.10.self_attn.q_proj: 8
+model.layers.10.self_attn.k_proj: 8
+model.layers.10.self_attn.v_proj: 8
+model.layers.10.self_attn.o_proj: 8
+model.layers.10.mlp.gate_proj: 8
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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"
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/README.md b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..cd4cd70449309544d78f14360c157376a590d351
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/README.md
@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** meta-llama/Llama-3.1-8B-Instruct
+
+**Average bitwidth:** 7.7425
+
+**Sensitivity method:** shapley
+
+**Constraints:**
+- max_kl: 0.01
+- min_eap: 0.99
+
+**Metrics:**
+- final_kl: 0.001562
+- final_eap: 0.990039
+- final_etl: 0.009961
+
+See `quantization_config.txt` for full configuration details.
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/chat_template.jinja b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..33089ace1be88f22a10fe861ad49718d5d886090
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/chat_template.jinja
@@ -0,0 +1,109 @@
+{{- 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 %}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bf71dab1ee4525127aba58e9446aa0a1dd046e6
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/config.json
@@ -0,0 +1,39 @@
+{
+  "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
+}
diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/generation_config.json b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..993459bf55ed73c1390809c2e2a3d7c1c0e0d844
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "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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diff --git a/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/quantization_config.txt b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/quantization_config.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5cfad4567579ce59d94b39e198dfb8736186c14f
--- /dev/null
+++ b/Llama-3.1-8B-Instruct/ll_bsearch_kl0.01_eap0.99_sha_bw7.74_4-8bit_seed42/quantization_config.txt
@@ -0,0 +1,250 @@
+# 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: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.01
+# Constraint min_eap: 0.99
+# Weights: nll=0.0, kl=0.0, eap=1.0
+#
+# Average bitwidth: 7.7425
+# Total params: 6979321856
+# Total bits: 54037667906
+# Final KL: 0.001562
+# Final EAP: 0.990039
+# Final ETL: 0.009961
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 211 layers (94.2%)
+#   4-bit: 13 layers (5.8%)
+#
+model.layers.0.self_attn.q_proj: 8
+model.layers.0.self_attn.k_proj: 8
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+}