feat: Updated Together AI models (#424)

Co-authored-by: github-actions[bot] <together-bot@langchain.com>
tryAGI · Aug 5, 2024 · c782597 · c782597
1 parent ab6d688
commit c782597
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Showing 3 changed files with 85 additions and 85 deletions.
diff --git a/src/Providers/TogetherAI/src/Predefined/AllModels.cs b/src/Providers/TogetherAI/src/Predefined/AllModels.cs
@@ -15,6 +15,11 @@ public class CodeLlamaInstruct34BModel(TogetherAiProvider provider) : TogetherAi
 public class UpstageSolarInstructV111BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.UpstageSolarInstructV111B);
 
 
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama370BReference"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama370BReferenceModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama370BReference);
+
+
 /// <inheritdoc cref="TogetherAiModelIds.OpenHermes2Mistral7B"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class OpenHermes2Mistral7BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.OpenHermes2Mistral7B);
@@ -140,6 +145,11 @@ public class CodeLlamaInstruct13BModel(TogetherAiProvider provider) : TogetherAi
 public class Llama38BChatHfInt4Model(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Llama38BChatHfInt4);
 
 
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama31405BInstructTurbo"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama31405BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama31405BInstructTurbo);
+
+
 /// <inheritdoc cref="TogetherAiModelIds.OpenHermes25Mistral7B"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class OpenHermes25Mistral7BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.OpenHermes25Mistral7B);
@@ -155,6 +165,16 @@ public class NousCapybaraV197BModel(TogetherAiProvider provider) : TogetherAiMod
 public class WizardcoderPythonV1034BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.WizardcoderPythonV1034B);
 
 
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama3170BInstructTurbo"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama3170BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama3170BInstructTurbo);
+
+
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama318BInstructTurbo"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama318BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama318BInstructTurbo);
+
+
 /// <inheritdoc cref="TogetherAiModelIds.NousHermes2MistralDpo7B"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class NousHermes2MistralDpo7BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.NousHermes2MistralDpo7B);
@@ -200,11 +220,6 @@ 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);
@@ -215,11 +230,6 @@ public class Mistral7BInstructModel(TogetherAiProvider provider) : TogetherAiMod
 public class Mistral7BInstructV02Model(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Mistral7BInstructV02);
 
 
-/// <inheritdoc cref="TogetherAiModelIds.MetaLlama318BInstructTurbo"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class MetaLlama318BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama318BInstructTurbo);
-
-
 /// <inheritdoc cref="TogetherAiModelIds.OpenOrcaMistral7B8K"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class OpenOrcaMistral7B8KModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.OpenOrcaMistral7B8K);
@@ -235,16 +245,6 @@ public class NousHermesLlama27BModel(TogetherAiProvider provider) : TogetherAiMo
 public class Qwen15Chat32BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Qwen15Chat32B);
 
 
-/// <inheritdoc cref="TogetherAiModelIds.MetaLlama31405BInstructTurbo"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class MetaLlama31405BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama31405BInstructTurbo);
-
-
-/// <inheritdoc cref="TogetherAiModelIds.MetaLlama3170BInstructTurbo"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class MetaLlama3170BInstructTurboModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama3170BInstructTurbo);
-
-
 /// <inheritdoc cref="TogetherAiModelIds.Qwen2Instruct72B"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class Qwen2Instruct72BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Qwen2Instruct72B);
@@ -400,11 +400,6 @@ public class Qwen272BModel(TogetherAiProvider provider) : TogetherAiModel(provid
 public class Qwen27BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Qwen27B);
 
 
-/// <inheritdoc cref="TogetherAiModelIds.Qwen215B"/>
-/// <param name="provider">Open Router Provider Instance</param>
-public class Qwen215BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.Qwen215B);
-
-
 /// <inheritdoc cref="TogetherAiModelIds.UpstageSolarInstructV111BInt4"/>
 /// <param name="provider">Open Router Provider Instance</param>
 public class UpstageSolarInstructV111BInt4Model(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.UpstageSolarInstructV111BInt4);
@@ -455,3 +450,8 @@ public class Llama370BInstructGradient1048KModel(TogetherAiProvider provider) :
 public class MetaLlama3170BInstructModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama3170BInstruct);
 
 
+/// <inheritdoc cref="TogetherAiModelIds.MetaLlama3170B"/>
+/// <param name="provider">Open Router Provider Instance</param>
+public class MetaLlama3170BModel(TogetherAiProvider provider) : TogetherAiModel(provider, TogetherAiModelIds.MetaLlama3170B);
+
+
diff --git a/src/Providers/TogetherAI/src/TogetherAiModelIds.cs b/src/Providers/TogetherAI/src/TogetherAiModelIds.cs
@@ -39,6 +39,17 @@ public enum TogetherAiModelIds
     /// </summary>
     UpstageSolarInstructV111B,
 
+    /// <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: OpenHermes-2-Mistral (7B) <br/>
     /// Organization: teknium <br/>
@@ -314,6 +325,17 @@ public enum TogetherAiModelIds
     /// </summary>
     Llama38BChatHfInt4,
 
+    /// <summary>
+    /// Name: Meta Llama 3.1 405B Instruct Turbo <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 4096 <br/>
+    /// Prompt Cost: $5/MTok <br/>
+    /// Completion Cost: $5/MTok <br/>
+    /// Description: Llama 3.1 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-3.1-405B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo</a>
+    /// </summary>
+    MetaLlama31405BInstructTurbo,
+
     /// <summary>
     /// Name: OpenHermes-2.5-Mistral (7B) <br/>
     /// Organization: teknium <br/>
@@ -347,6 +369,28 @@ public enum TogetherAiModelIds
     /// </summary>
     WizardcoderPythonV1034B,
 
+    /// <summary>
+    /// Name: Meta Llama 3.1 70B Instruct Turbo <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 131072 <br/>
+    /// Prompt Cost: $0.88/MTok <br/>
+    /// Completion Cost: $0.88/MTok <br/>
+    /// Description: Llama 3.1 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-3.1-70B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo</a>
+    /// </summary>
+    MetaLlama3170BInstructTurbo,
+
+    /// <summary>
+    /// Name: Meta Llama 3.1 8B Instruct Turbo <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 131072 <br/>
+    /// Prompt Cost: $0.18/MTok <br/>
+    /// Completion Cost: $0.18/MTok <br/>
+    /// Description: Llama 3.1 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-3.1-8B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo</a>
+    /// </summary>
+    MetaLlama318BInstructTurbo,
+
     /// <summary>
     /// Name: Nous Hermes 2 - Mistral DPO (7B) <br/>
     /// Organization: NousResearch <br/>
@@ -446,17 +490,6 @@ 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/>
@@ -479,17 +512,6 @@ public enum TogetherAiModelIds
     /// </summary>
     Mistral7BInstructV02,
 
-    /// <summary>
-    /// Name: Meta Llama 3.1 8B Instruct Turbo <br/>
-    /// Organization: Meta <br/>
-    /// Context Length: 131072 <br/>
-    /// Prompt Cost: $0.18/MTok <br/>
-    /// Completion Cost: $0.18/MTok <br/>
-    /// Description: Llama 3.1 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-3.1-8B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo</a>
-    /// </summary>
-    MetaLlama318BInstructTurbo,
-
     /// <summary>
     /// Name: OpenOrca Mistral (7B) 8K <br/>
     /// Organization: OpenOrca <br/>
@@ -523,28 +545,6 @@ public enum TogetherAiModelIds
     /// </summary>
     Qwen15Chat32B,
 
-    /// <summary>
-    /// Name: Meta Llama 3.1 405B Instruct Turbo <br/>
-    /// Organization: Meta <br/>
-    /// Context Length: 4096 <br/>
-    /// Prompt Cost: $5/MTok <br/>
-    /// Completion Cost: $5/MTok <br/>
-    /// Description: Llama 3.1 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-3.1-405B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo</a>
-    /// </summary>
-    MetaLlama31405BInstructTurbo,
-
-    /// <summary>
-    /// Name: Meta Llama 3.1 70B Instruct Turbo <br/>
-    /// Organization: Meta <br/>
-    /// Context Length: 131072 <br/>
-    /// Prompt Cost: $0.88/MTok <br/>
-    /// Completion Cost: $0.88/MTok <br/>
-    /// Description: Llama 3.1 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-3.1-70B-Instruct-Turbo">https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo</a>
-    /// </summary>
-    MetaLlama3170BInstructTurbo,
-
     /// <summary>
     /// Name: Qwen 2 Instruct (72B) <br/>
     /// Organization: Qwen <br/>
@@ -886,17 +886,6 @@ public enum TogetherAiModelIds
     /// </summary>
     Qwen27B,
 
-    /// <summary>
-    /// Name: Qwen 2 (1.5B) <br/>
-    /// Organization: Qwen <br/>
-    /// Context Length: 32768 <br/>
-    /// Prompt Cost: $0/MTok <br/>
-    /// Completion Cost: $0/MTok <br/>
-    /// Description: Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. <br/>
-    /// HuggingFace Url: <a href="https://huggingface.co/Qwen/Qwen2-1.5B">https://huggingface.co/Qwen/Qwen2-1.5B</a>
-    /// </summary>
-    Qwen215B,
-
     /// <summary>
     /// Name: Upstage SOLAR Instruct v1 (11B)-Int4 <br/>
     /// Organization: upstage <br/>
@@ -1007,4 +996,15 @@ public enum TogetherAiModelIds
     /// </summary>
     MetaLlama3170BInstruct,
 
+    /// <summary>
+    /// Name: Meta Llama 3.1 70B <br/>
+    /// Organization: Meta <br/>
+    /// Context Length: 8192 <br/>
+    /// Prompt Cost: $0.9/MTok <br/>
+    /// Completion Cost: $0.9/MTok <br/>
+    /// Description: Llama 3.1 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-3.1-70B-Reference">https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Reference</a>
+    /// </summary>
+    MetaLlama3170B,
+
 }