forked from phoenix/litellm-mirror
Update pricing and add cohere refresh models
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parent
4626c5a365
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1 changed files with 633 additions and 633 deletions
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@ -890,7 +890,7 @@
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"output_cost_per_token": 0.00000061,
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"output_cost_per_token": 0.00000061,
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"litellm_provider": "azure_ai",
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"litellm_provider": "azure_ai",
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"mode": "chat",
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"mode": "chat",
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"source":"https://azuremarketplace.microsoft.com/en-us/marketplace/apps/metagenai.meta-llama-3-1-8b-instruct-offer?tab=PlansAndPrice"
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"source": "https://azuremarketplace.microsoft.com/en-us/marketplace/apps/metagenai.meta-llama-3-1-8b-instruct-offer?tab=PlansAndPrice"
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},
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},
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"azure_ai/Meta-Llama-31-70B-Instruct": {
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"azure_ai/Meta-Llama-31-70B-Instruct": {
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"max_tokens": 128000,
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"max_tokens": 128000,
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@ -900,7 +900,7 @@
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"output_cost_per_token": 0.00000354,
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"output_cost_per_token": 0.00000354,
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"litellm_provider": "azure_ai",
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"litellm_provider": "azure_ai",
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"mode": "chat",
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"mode": "chat",
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"source":"https://azuremarketplace.microsoft.com/en-us/marketplace/apps/metagenai.meta-llama-3-1-70b-instruct-offer?tab=PlansAndPrice"
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"source": "https://azuremarketplace.microsoft.com/en-us/marketplace/apps/metagenai.meta-llama-3-1-70b-instruct-offer?tab=PlansAndPrice"
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},
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},
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"azure_ai/Meta-Llama-31-405B-Instruct": {
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"azure_ai/Meta-Llama-31-405B-Instruct": {
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"max_tokens": 128000,
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"max_tokens": 128000,
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@ -910,7 +910,7 @@
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"output_cost_per_token": 0.000016,
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"output_cost_per_token": 0.000016,
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"litellm_provider": "azure_ai",
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"litellm_provider": "azure_ai",
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"mode": "chat",
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"mode": "chat",
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"source":"https://azuremarketplace.microsoft.com/en-us/marketplace/apps/metagenai.meta-llama-3-1-405b-instruct-offer?tab=PlansAndPrice"
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"source": "https://azuremarketplace.microsoft.com/en-us/marketplace/apps/metagenai.meta-llama-3-1-405b-instruct-offer?tab=PlansAndPrice"
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},
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},
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"babbage-002": {
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"babbage-002": {
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"max_tokens": 16384,
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"max_tokens": 16384,
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@ -947,7 +947,6 @@
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"output_cost_per_token": 0.000002,
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"output_cost_per_token": 0.000002,
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"litellm_provider": "text-completion-openai",
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"litellm_provider": "text-completion-openai",
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"mode": "completion"
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"mode": "completion"
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},
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},
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"claude-instant-1": {
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"claude-instant-1": {
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"max_tokens": 8191,
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"max_tokens": 8191,
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@ -2432,7 +2431,7 @@
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"mode": "embedding",
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"mode": "embedding",
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"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
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"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
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},
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},
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"text-multilingual-embedding-preview-0409":{
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"text-multilingual-embedding-preview-0409": {
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"max_tokens": 3072,
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"max_tokens": 3072,
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"max_input_tokens": 3072,
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"max_input_tokens": 3072,
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"output_vector_size": 768,
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"output_vector_size": 768,
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@ -2665,8 +2664,18 @@
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"max_tokens": 4096,
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"max_tokens": 4096,
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"max_input_tokens": 128000,
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"max_input_tokens": 128000,
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"max_output_tokens": 4096,
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"max_output_tokens": 4096,
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"input_cost_per_token": 0.00000050,
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"input_cost_per_token": 0.00000015,
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"output_cost_per_token": 0.0000015,
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"output_cost_per_token": 0.0000006,
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"litellm_provider": "cohere_chat",
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"mode": "chat",
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"supports_function_calling": true
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},
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"command-r-08-2024": {
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"max_tokens": 4096,
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"max_input_tokens": 128000,
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"max_output_tokens": 4096,
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"input_cost_per_token": 0.00000015,
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"output_cost_per_token": 0.0000006,
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"litellm_provider": "cohere_chat",
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"litellm_provider": "cohere_chat",
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"mode": "chat",
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"mode": "chat",
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"supports_function_calling": true
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"supports_function_calling": true
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@ -2684,8 +2693,18 @@
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"max_tokens": 4096,
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"max_tokens": 4096,
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"max_input_tokens": 128000,
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"max_input_tokens": 128000,
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"max_output_tokens": 4096,
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"max_output_tokens": 4096,
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"input_cost_per_token": 0.000003,
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"input_cost_per_token": 0.0000025,
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"output_cost_per_token": 0.000015,
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"output_cost_per_token": 0.00001,
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"litellm_provider": "cohere_chat",
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"mode": "chat",
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"supports_function_calling": true
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},
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"command-r-plus-08-2024": {
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"max_tokens": 4096,
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"max_input_tokens": 128000,
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"max_output_tokens": 4096,
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"input_cost_per_token": 0.0000025,
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"output_cost_per_token": 0.00001,
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"litellm_provider": "cohere_chat",
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"litellm_provider": "cohere_chat",
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"mode": "chat",
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"mode": "chat",
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"supports_function_calling": true
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"supports_function_calling": true
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@ -2707,24 +2726,6 @@
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"output_cost_per_token": 0.000015,
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"output_cost_per_token": 0.000015,
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"litellm_provider": "cohere",
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"litellm_provider": "cohere",
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"mode": "completion"
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"mode": "completion"
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},
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"command-medium-beta": {
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"max_tokens": 4096,
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"max_input_tokens": 4096,
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"max_output_tokens": 4096,
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"input_cost_per_token": 0.000015,
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"output_cost_per_token": 0.000015,
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"litellm_provider": "cohere",
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"mode": "completion"
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},
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"command-xlarge-beta": {
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"max_tokens": 4096,
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"max_input_tokens": 4096,
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"max_output_tokens": 4096,
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"input_cost_per_token": 0.000015,
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"output_cost_per_token": 0.000015,
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"litellm_provider": "cohere",
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"mode": "completion"
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},
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},
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"embed-english-v3.0": {
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"embed-english-v3.0": {
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"max_tokens": 512,
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"max_tokens": 512,
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@ -5331,7 +5332,7 @@
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"output_cost_per_token": 0.000001,
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"output_cost_per_token": 0.000001,
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"litellm_provider": "anyscale",
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"litellm_provider": "anyscale",
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"mode": "chat",
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"mode": "chat",
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"source" : "https://docs.anyscale.com/preview/endpoints/text-generation/supported-models/codellama-CodeLlama-70b-Instruct-hf"
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"source": "https://docs.anyscale.com/preview/endpoints/text-generation/supported-models/codellama-CodeLlama-70b-Instruct-hf"
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},
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},
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"anyscale/meta-llama/Meta-Llama-3-8B-Instruct": {
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"anyscale/meta-llama/Meta-Llama-3-8B-Instruct": {
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"max_tokens": 8192,
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"max_tokens": 8192,
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@ -5351,7 +5352,7 @@
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"output_cost_per_token": 0.00000100,
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"output_cost_per_token": 0.00000100,
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"litellm_provider": "anyscale",
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"litellm_provider": "anyscale",
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"mode": "chat",
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"mode": "chat",
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"source" : "https://docs.anyscale.com/preview/endpoints/text-generation/supported-models/meta-llama-Meta-Llama-3-70B-Instruct"
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"source": "https://docs.anyscale.com/preview/endpoints/text-generation/supported-models/meta-llama-Meta-Llama-3-70B-Instruct"
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},
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},
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"cloudflare/@cf/meta/llama-2-7b-chat-fp16": {
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"cloudflare/@cf/meta/llama-2-7b-chat-fp16": {
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"max_tokens": 3072,
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"max_tokens": 3072,
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@ -5494,7 +5495,6 @@
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"litellm_provider": "databricks",
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"litellm_provider": "databricks",
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"mode": "chat",
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"mode": "chat",
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"source": "https://www.databricks.com/product/pricing/foundation-model-serving"
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"source": "https://www.databricks.com/product/pricing/foundation-model-serving"
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},
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},
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"databricks/databricks-mixtral-8x7b-instruct": {
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"databricks/databricks-mixtral-8x7b-instruct": {
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"max_tokens": 4096,
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"max_tokens": 4096,
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