diff --git a/src/Providers/TogetherAI/src/Predefined/AllModels.cs b/src/Providers/TogetherAI/src/Predefined/AllModels.cs
index 269a15e3..7e3f4672 100644
--- a/src/Providers/TogetherAI/src/Predefined/AllModels.cs
+++ b/src/Providers/TogetherAI/src/Predefined/AllModels.cs
@@ -215,6 +215,11 @@ public class Qwen15Chat4BModel(TogetherAiProvider provider) : TogetherAiModel(pr
 public class MythomaxL213BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MythomaxL213B);
 
 
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama370BReference"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama370BReferenceModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama370BReference);
+
+
 /// <inheritdoc cref="TogetherAiModelIds.Mistral7BInstruct"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class Mistral7BInstructModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Mistral7BInstruct);
@@ -230,11 +235,6 @@ public class Mistral7BInstructV02Model(TogetherAiProvider provider) : TogetherAi
 public class OpenOrcaMistral7B8KModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.OpenOrcaMistral7B8K);
 
 
-/// <inheritdoc cref="TogetherAiModelIds._01AiYiChat34B"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class _01AiYiChat34BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds._01AiYiChat34B);
-
-
 /// <inheritdoc cref="TogetherAiModelIds.NousHermesLlama27B"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class NousHermesLlama27BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.NousHermesLlama27B);
@@ -290,9 +290,44 @@ public class Qwen15Chat110BModel(TogetherAiProvider provider) : TogetherAiModel(
 public class Llama2Chat13BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Llama2Chat13B);
 
 
-/// <inheritdoc cref="TogetherAiModelIds.MetaLlama38BChat"/>
+/// <inheritdoc cref="TogetherAiModelIds.Gemma2Instruct27B"/>
 /// <param name="provider">Open Router Provider Instance</param>
-public class MetaLlama38BChatModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama38BChat);
+public class Gemma2Instruct27BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Gemma2Instruct27B);
+
+
+/// <inheritdoc cref="TogetherAiModelIds._01AiYiChat34B"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class _01AiYiChat34BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds._01AiYiChat34B);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama370BInstructTurbo"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama370BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama370BInstructTurbo);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama38BInstructTurbo"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama38BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama38BInstructTurbo);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama370BInstructLite"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama370BInstructLiteModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama370BInstructLite);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.Gemma2Instruct9B"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class Gemma2Instruct9BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Gemma2Instruct9B);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama38BInstructLite"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama38BInstructLiteModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama38BInstructLite);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama38BReference"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama38BReferenceModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama38BReference);
 
 
 /// <inheritdoc cref="TogetherAiModelIds.Mixtral8X7BInstructV01"/>
@@ -320,11 +355,6 @@ public class CodeLlama70BModel(TogetherAiProvider provider) : TogetherAiModel(pr
 public class CodeLlamaPython7BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.CodeLlamaPython7B);
 
 
-/// <inheritdoc cref="TogetherAiModelIds.MetaLlama370BChat"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class MetaLlama370BChatModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama370BChat);
-
-
 /// <inheritdoc cref="TogetherAiModelIds.ReservedDbrxInstruct"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class ReservedDbrxInstructModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.ReservedDbrxInstruct);
@@ -350,11 +380,6 @@ public class MetaLlama38BInstructModel(TogetherAiProvider provider) : TogetherAi
 public class MetaLlama370BInstructModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama370BInstruct);
 
 
-/// <inheritdoc cref="TogetherAiModelIds.Gemma2Instruct9B"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class Gemma2Instruct9BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Gemma2Instruct9B);
-
-
 /// <inheritdoc cref="TogetherAiModelIds.Hermes2ThetaLlama370B"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class Hermes2ThetaLlama370BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Hermes2ThetaLlama370B);
diff --git a/src/Providers/TogetherAI/src/TogetherAiModelIds.cs b/src/Providers/TogetherAI/src/TogetherAiModelIds.cs
index e2327779..1065953d 100644
--- a/src/Providers/TogetherAI/src/TogetherAiModelIds.cs
+++ b/src/Providers/TogetherAI/src/TogetherAiModelIds.cs
@@ -479,6 +479,17 @@ public enum TogetherAiModelIds
     /// </summary>
     MythomaxL213B,
 
+    /// <summary>
+    /// Name: Meta Llama 3 70B Reference <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.9/MTok <br/>
+    /// Completion Cost: $0.9/MTok <br/>
+    /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Llama-3-70b-chat-hf">https://huggingface.co/meta-llama/Llama-3-70b-chat-hf</a>
+    /// </summary>
+    MetaLlama370BReference,
+
     /// <summary>
     /// Name: Mistral (7B) Instruct <br/>
     /// Organization: mistralai <br/>
@@ -512,17 +523,6 @@ public enum TogetherAiModelIds
     /// </summary>
     OpenOrcaMistral7B8K,
 
-    /// <summary>
-    /// Name: 01-ai Yi Chat (34B) <br/>
-    /// Organization: 01.AI <br/>
-    /// Context Length: 4096 <br/>
-    /// Prompt Cost: $0.8/MTok <br/>
-    /// Completion Cost: $0.8/MTok <br/>
-    /// Description: The Yi series models are large language models trained from scratch by developers at 01.AI <br/>
-    /// HuggingFace Url: <a href="https://huggingface.co/zero-one-ai/Yi-34B-Chat">https://huggingface.co/zero-one-ai/Yi-34B-Chat</a>
-    /// </summary>
-    _01AiYiChat34B,
-
     /// <summary>
     /// Name: Nous Hermes LLaMA-2 (7B) <br/>
     /// Organization: NousResearch <br/>
@@ -645,7 +645,84 @@ public enum TogetherAiModelIds
     Llama2Chat13B,
 
     /// <summary>
-    /// Name: Meta Llama 3 8B Chat <br/>
+    /// Name: Gemma-2 Instruct (27B) <br/>
+    /// Organization: Google <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.8/MTok <br/>
+    /// Completion Cost: $0.8/MTok <br/>
+    /// Description: Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/google/gemma-2-27b-it">https://huggingface.co/google/gemma-2-27b-it</a>
+    /// </summary>
+    Gemma2Instruct27B,
+
+    /// <summary>
+    /// Name: 01-ai Yi Chat (34B) <br/>
+    /// Organization: 01.AI <br/>
+    /// Context Length: 4096 <br/>
+    /// Prompt Cost: $0.8/MTok <br/>
+    /// Completion Cost: $0.8/MTok <br/>
+    /// Description: The Yi series models are large language models trained from scratch by developers at 01.AI <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/zero-one-ai/Yi-34B-Chat">https://huggingface.co/zero-one-ai/Yi-34B-Chat</a>
+    /// </summary>
+    _01AiYiChat34B,
+
+    /// <summary>
+    /// Name: Meta Llama 3 70B Instruct Turbo <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.88/MTok <br/>
+    /// Completion Cost: $0.88/MTok <br/>
+    /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct-Turbo</a>
+    /// </summary>
+    MetaLlama370BInstructTurbo,
+
+    /// <summary>
+    /// Name: Meta Llama 3 8B Instruct Turbo <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.18/MTok <br/>
+    /// Completion Cost: $0.18/MTok <br/>
+    /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct-Turbo</a>
+    /// </summary>
+    MetaLlama38BInstructTurbo,
+
+    /// <summary>
+    /// Name: Meta Llama 3 70B Instruct Lite <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.54/MTok <br/>
+    /// Completion Cost: $0.54/MTok <br/>
+    /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct-Lite">https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct-Lite</a>
+    /// </summary>
+    MetaLlama370BInstructLite,
+
+    /// <summary>
+    /// Name: Gemma-2 Instruct (9B) <br/>
+    /// Organization: google <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.3/MTok <br/>
+    /// Completion Cost: $0.3/MTok <br/>
+    /// Description: Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/google/gemma-2-9b-it">https://huggingface.co/google/gemma-2-9b-it</a>
+    /// </summary>
+    Gemma2Instruct9B,
+
+    /// <summary>
+    /// Name: Meta Llama 3 8B Instruct Lite <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.1/MTok <br/>
+    /// Completion Cost: $0.1/MTok <br/>
+    /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
+    /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct-Lite">https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct-Lite</a>
+    /// </summary>
+    MetaLlama38BInstructLite,
+
+    /// <summary>
+    /// Name: Meta Llama 3 8B Reference <br/>
     /// Organization: Meta <br/>
     /// Context Length: 8192 <br/>
     /// Prompt Cost: $0.2/MTok <br/>
@@ -653,7 +730,7 @@ public enum TogetherAiModelIds
     /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
     /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Llama-3-8b-chat-hf">https://huggingface.co/meta-llama/Llama-3-8b-chat-hf</a>
     /// </summary>
-    MetaLlama38BChat,
+    MetaLlama38BReference,
 
     /// <summary>
     /// Name: Mixtral-8x7B Instruct v0.1 <br/>
@@ -710,17 +787,6 @@ public enum TogetherAiModelIds
     /// </summary>
     CodeLlamaPython7B,
 
-    /// <summary>
-    /// Name: Meta Llama 3 70B Chat <br/>
-    /// Organization: Meta <br/>
-    /// Context Length: 8192 <br/>
-    /// Prompt Cost: $0.9/MTok <br/>
-    /// Completion Cost: $0.9/MTok <br/>
-    /// Description: Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. <br/>
-    /// HuggingFace Url: <a href="https://huggingface.co/meta-llama/Llama-3-70b-chat-hf">https://huggingface.co/meta-llama/Llama-3-70b-chat-hf</a>
-    /// </summary>
-    MetaLlama370BChat,
-
     /// <summary>
     /// Name: Reserved - DBRX Instruct <br/>
     /// Organization: Databricks <br/>
@@ -776,17 +842,6 @@ public enum TogetherAiModelIds
     /// </summary>
     MetaLlama370BInstruct,
 
-    /// <summary>
-    /// Name: Gemma-2 Instruct (9B) <br/>
-    /// Organization: google <br/>
-    /// Context Length: 8192 <br/>
-    /// Prompt Cost: $0.3/MTok <br/>
-    /// Completion Cost: $0.3/MTok <br/>
-    /// Description: Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. <br/>
-    /// HuggingFace Url: <a href="https://huggingface.co/google/gemma-2-9b-it">https://huggingface.co/google/gemma-2-9b-it</a>
-    /// </summary>
-    Gemma2Instruct9B,
-
     /// <summary>
     /// Name: Hermes 2 Theta Llama-3 70B <br/>
     /// Organization: NousResearch <br/>
diff --git a/src/Providers/TogetherAI/src/TogetherAiModelProvider.cs b/src/Providers/TogetherAI/src/TogetherAiModelProvider.cs
index e3a5acb6..6f09fee4 100644
--- a/src/Providers/TogetherAI/src/TogetherAiModelProvider.cs
+++ b/src/Providers/TogetherAI/src/TogetherAiModelProvider.cs
@@ -52,10 +52,10 @@ public static class TogetherAiModelProvider
         { TogetherAiModelIds.OlmoInstruct7B, ToMetadata("allenai/OLMo-7B-Instruct",2048,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.Qwen15Chat4B, ToMetadata("Qwen/Qwen1.5-4B-Chat",32768,1.0000000000000001E-07,1.0000000000000001E-07)},
         { TogetherAiModelIds.MythomaxL213B, ToMetadata("Gryphe/MythoMax-L2-13b",4096,3E-07,3E-07)},
+        { TogetherAiModelIds.MetaLlama370BReference, ToMetadata("meta-llama/Llama-3-70b-chat-hf",8192,9.000000000000001E-07,9.000000000000001E-07)},
         { TogetherAiModelIds.Mistral7BInstruct, ToMetadata("mistralai/Mistral-7B-Instruct-v0.1",4096,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.Mistral7BInstructV02, ToMetadata("mistralai/Mistral-7B-Instruct-v0.2",32768,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.OpenOrcaMistral7B8K, ToMetadata("Open-Orca/Mistral-7B-OpenOrca",8192,2.0000000000000002E-07,2.0000000000000002E-07)},
-        { TogetherAiModelIds._01AiYiChat34B, ToMetadata("zero-one-ai/Yi-34B-Chat",4096,8.000000000000001E-07,8.000000000000001E-07)},
         { TogetherAiModelIds.NousHermesLlama27B, ToMetadata("NousResearch/Nous-Hermes-llama-2-7b",4096,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.Qwen15Chat32B, ToMetadata("Qwen/Qwen1.5-32B-Chat",32768,8.000000000000001E-07,8.000000000000001E-07)},
         { TogetherAiModelIds.Qwen2Instruct72B, ToMetadata("Qwen/Qwen2-72B-Instruct",32768,9.000000000000001E-07,9.000000000000001E-07)},
@@ -67,19 +67,24 @@ public static class TogetherAiModelProvider
         { TogetherAiModelIds.Mistral7BInstructV03, ToMetadata("mistralai/Mistral-7B-Instruct-v0.3",32768,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.Qwen15Chat110B, ToMetadata("Qwen/Qwen1.5-110B-Chat",32768,1.8000000000000001E-06,1.8000000000000001E-06)},
         { TogetherAiModelIds.Llama2Chat13B, ToMetadata("meta-llama/Llama-2-13b-chat-hf",4096,2.2E-07,2.2E-07)},
-        { TogetherAiModelIds.MetaLlama38BChat, ToMetadata("meta-llama/Llama-3-8b-chat-hf",8192,2.0000000000000002E-07,2.0000000000000002E-07)},
+        { TogetherAiModelIds.Gemma2Instruct27B, ToMetadata("google/gemma-2-27b-it",8192,8.000000000000001E-07,8.000000000000001E-07)},
+        { TogetherAiModelIds._01AiYiChat34B, ToMetadata("zero-one-ai/Yi-34B-Chat",4096,8.000000000000001E-07,8.000000000000001E-07)},
+        { TogetherAiModelIds.MetaLlama370BInstructTurbo, ToMetadata("meta-llama/Meta-Llama-3-70B-Instruct-Turbo",8192,8.8E-07,8.8E-07)},
+        { TogetherAiModelIds.MetaLlama38BInstructTurbo, ToMetadata("meta-llama/Meta-Llama-3-8B-Instruct-Turbo",8192,1.8E-07,1.8E-07)},
+        { TogetherAiModelIds.MetaLlama370BInstructLite, ToMetadata("meta-llama/Meta-Llama-3-70B-Instruct-Lite",8192,5.4E-07,5.4E-07)},
+        { TogetherAiModelIds.Gemma2Instruct9B, ToMetadata("google/gemma-2-9b-it",8192,3E-07,3E-07)},
+        { TogetherAiModelIds.MetaLlama38BInstructLite, ToMetadata("meta-llama/Meta-Llama-3-8B-Instruct-Lite",8192,1.0000000000000001E-07,1.0000000000000001E-07)},
+        { TogetherAiModelIds.MetaLlama38BReference, ToMetadata("meta-llama/Llama-3-8b-chat-hf",8192,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.Mixtral8X7BInstructV01, ToMetadata("mistralai/Mixtral-8x7B-Instruct-v0.1",32768,6E-07,6E-07)},
         { TogetherAiModelIds.Llama2Chat7B, ToMetadata("meta-llama/Llama-2-7b-chat-hf",4096,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.Llama2Chat70B, ToMetadata("meta-llama/Llama-2-70b-chat-hf",4096,9.000000000000001E-07,9.000000000000001E-07)},
         { TogetherAiModelIds.CodeLlama70B, ToMetadata("codellama/CodeLlama-70b-hf",16384,9.000000000000001E-07,9.000000000000001E-07)},
         { TogetherAiModelIds.CodeLlamaPython7B, ToMetadata("codellama/CodeLlama-7b-Python-hf",16384,2.0000000000000002E-07,2.0000000000000002E-07)},
-        { TogetherAiModelIds.MetaLlama370BChat, ToMetadata("meta-llama/Llama-3-70b-chat-hf",8192,9.000000000000001E-07,9.000000000000001E-07)},
         { TogetherAiModelIds.ReservedDbrxInstruct, ToMetadata("medaltv/dbrx-instruct",0,1.2E-06,1.2E-06)},
         { TogetherAiModelIds.DbrxInstruct, ToMetadata("databricks/dbrx-instruct",32768,1.2E-06,1.2E-06)},
         { TogetherAiModelIds.UpstageSolarInstructV111BInt4, ToMetadata("togethercomputer/SOLAR-10.7B-Instruct-v1.0-int4",4096,3E-07,3E-07)},
         { TogetherAiModelIds.MetaLlama38BInstruct, ToMetadata("meta-llama/Meta-Llama-3-8B-Instruct",8192,2.0000000000000002E-07,2.0000000000000002E-07)},
         { TogetherAiModelIds.MetaLlama370BInstruct, ToMetadata("meta-llama/Meta-Llama-3-70B-Instruct",8192,9.000000000000001E-07,9.000000000000001E-07)},
-        { TogetherAiModelIds.Gemma2Instruct9B, ToMetadata("google/gemma-2-9b-it",8192,3E-07,3E-07)},
         { TogetherAiModelIds.Hermes2ThetaLlama370B, ToMetadata("NousResearch/Hermes-2-Theta-Llama-3-70B",8192,0,0)},
         { TogetherAiModelIds.Llama370BInstructGradient1048K, ToMetadata("gradientai/Llama-3-70B-Instruct-Gradient-1048k",1048576,0,0)},