inv-exponenta-alpha-7b

submission_id: inv-exponenta-alpha-7b_v7

developer_uid: Inv

status: torndown

model_repo: Inv/Exponenta-Alpha-7B

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 55, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

formatter: {'memory_template': "Role-play as {bot_name} based on Persona: {memory}. Avoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

timestamp: 2024-03-30T19:54:08+00:00

model_name: inv-exponenta-alpha-7b_v7

model_eval_status: success

model_group: Inv/Exponenta-Alpha-7B

num_battles: 68803

num_wins: 37161

celo_rating: 1186.36

propriety_score: 0.0

propriety_total_count: 0.0

submission_type: basic

model_architecture: MistralForCausalLM

model_num_parameters: 7241732096.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: inv-exponenta-alpha-7b_v7

ineligible_reason: propriety_total_count < 800

language_model: Inv/Exponenta-Alpha-7B

model_size: 7B

reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2

us_pacific_date: 2024-03-30

win_ratio: 0.540107262764705

preference_data_url: None

Resubmit model

Reference Models

Running pipeline stage MKMLizer
Starting job with name inv-exponenta-alpha-7b-v7-mkmlizer
Waiting for job on inv-exponenta-alpha-7b-v7-mkmlizer to finish
inv-exponenta-alpha-7b-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-exponenta-alpha-7b-v7-mkmlizer: ║     _____            __           __                                ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║       /___/                                                         ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║                                                                     ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  Version: 0.6.11                                                    ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║                                                                     ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  belonging to:                                                      ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║                                                                     ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  Chai Research Corp.                                                ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
inv-exponenta-alpha-7b-v7-mkmlizer: ║                                                                     ║
inv-exponenta-alpha-7b-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-exponenta-alpha-7b-v7-mkmlizer: Downloaded to shared memory in 30.576s
inv-exponenta-alpha-7b-v7-mkmlizer: quantizing model to /dev/shm/model_cache
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inv-exponenta-alpha-7b-v7-mkmlizer: quantized model in 18.314s
inv-exponenta-alpha-7b-v7-mkmlizer: Processed model Inv/Exponenta-Alpha-7B in 49.900s
inv-exponenta-alpha-7b-v7-mkmlizer: creating bucket guanaco-mkml-models
inv-exponenta-alpha-7b-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-exponenta-alpha-7b-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7
inv-exponenta-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7/config.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7/special_tokens_map.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7/tokenizer_config.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7/tokenizer.model
inv-exponenta-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7/tokenizer.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v7/mkml_model.tensors
inv-exponenta-alpha-7b-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-exponenta-alpha-7b-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
inv-exponenta-alpha-7b-v7-mkmlizer:   warnings.warn(
inv-exponenta-alpha-7b-v7-mkmlizer: 
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inv-exponenta-alpha-7b-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
inv-exponenta-alpha-7b-v7-mkmlizer:   warnings.warn(
inv-exponenta-alpha-7b-v7-mkmlizer: 
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vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.56MB/s]
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inv-exponenta-alpha-7b-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
inv-exponenta-alpha-7b-v7-mkmlizer:   warnings.warn(
inv-exponenta-alpha-7b-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-exponenta-alpha-7b-v7-mkmlizer: Saving duration: 0.298s
inv-exponenta-alpha-7b-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.080s
inv-exponenta-alpha-7b-v7-mkmlizer: creating bucket guanaco-reward-models
inv-exponenta-alpha-7b-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-exponenta-alpha-7b-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/config.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/special_tokens_map.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/tokenizer_config.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/merges.txt
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/vocab.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/tokenizer.json
inv-exponenta-alpha-7b-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-exponenta-alpha-7b-v7_reward/reward.tensors
Job inv-exponenta-alpha-7b-v7-mkmlizer completed after 106.92s with status: succeeded
Stopping job with name inv-exponenta-alpha-7b-v7-mkmlizer
Pipeline stage MKMLizer completed in 111.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service inv-exponenta-alpha-7b-v7
Waiting for inference service inv-exponenta-alpha-7b-v7 to be ready
Exception raised while processing tagging_function
Traceback (most recent call last):
  File "/code/guanaco/guanaco_services/src/guanaco_model_service/chat_api.py", line 274, in resolve_chat_api
    conversation_tag = self.tagging_function(conversation_state)
  File "/home/zongyi/gitlab/zztools/zztools/llm/guanaco/submit_routing_model.py", line 176, in last_user_message_length
TypeError: 'ConversationMessage' object is not subscriptable
Inference service inv-exponenta-alpha-7b-v7 ready after 40.245270013809204s
Pipeline stage ISVCDeployer completed in 48.00s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5373635292053223s
Received healthy response to inference request in 1.1898102760314941s
Received healthy response to inference request in 1.2197833061218262s
Received healthy response to inference request in 1.1929078102111816s
Received healthy response to inference request in 1.205906867980957s
5 requests
0 failed requests
5th percentile: 1.1904297828674317
10th percentile: 1.191049289703369
20th percentile: 1.192288303375244
30th percentile: 1.1955076217651368
40th percentile: 1.200707244873047
50th percentile: 1.205906867980957
60th percentile: 1.2114574432373046
70th percentile: 1.2170080184936523
80th percentile: 1.2832993507385255
90th percentile: 1.4103314399719238
95th percentile: 1.473847484588623
99th percentile: 1.5246603202819824
mean time: 1.2691543579101563
Pipeline stage StressChecker completed in 7.20s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
inv-exponenta-alpha-7b_v7 status is now deployed due to DeploymentManager action
inv-exponenta-alpha-7b_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of inv-exponenta-alpha-7b_v7
Running pipeline stage ISVCDeleter
Checking if service inv-exponenta-alpha-7b-v7 is running
Tearing down inference service inv-exponenta-alpha-7b-v7
Toredown service inv-exponenta-alpha-7b-v7
Pipeline stage ISVCDeleter completed in 3.21s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key inv-exponenta-alpha-7b-v7/config.json from bucket guanaco-mkml-models
Deleting key inv-exponenta-alpha-7b-v7/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key inv-exponenta-alpha-7b-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key inv-exponenta-alpha-7b-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key inv-exponenta-alpha-7b-v7/tokenizer.model from bucket guanaco-mkml-models
Deleting key inv-exponenta-alpha-7b-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key inv-exponenta-alpha-7b-v7_reward/config.json from bucket guanaco-reward-models
Deleting key inv-exponenta-alpha-7b-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key inv-exponenta-alpha-7b-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key inv-exponenta-alpha-7b-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key inv-exponenta-alpha-7b-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key inv-exponenta-alpha-7b-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key inv-exponenta-alpha-7b-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.86s
inv-exponenta-alpha-7b_v7 status is now torndown due to DeploymentManager action

Start Time:

End Time:

Step (in hours or minutes, e.g. 1h, 10m):

Usage Metrics

Latency Metrics

Model Developer	Ranking	Ranking By Group	Elo Rating	Elo Rating By Group	Alignment Score	Alignment Question Responses	Submission ID	Parameters	Huggingface Repository	Variant	Number of Battles	Number of Battles By Group	Win Ratio	Win Ratio By Group	Type	Reward Repo	Best of	Max Input Tokens	Max Output Tokens	Model Architecture	Model Group	Date	Elo Norm	Alignment Norm	Alt Ranking	Alt Ranking By Group	Elo Rank	Alignment Rank
zonemercy	1	1	1275.52	1275.52	0.75	4615.0	zonemercy-burly-blue-cp2500_v5	8B	zonemercy/Burly_Blue_cp2500	zonemercy-burly-blue-cp2500_v5	7875	339951	0.61	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	zonemercy/Burly_Blue_cp2	2024-07-19	1.69	1.73	1	1	7	63
PawanOsman	2	2	1277.67	1277.67	0.75	977.0	pawankrd-cosmosrp_v77	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v77	10992	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.74	1.46	2	2	5	108
albert_chai	3	3	1272.91	1274.39	0.74	1338.0	chaiml-elo-alignment-run-3_v11	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	11278	517812	0.61	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-19	1.64	1.32	3	3	17	133
PawanOsman	4	2	1274.96	1277.67	0.74	1001.0	pawankrd-cosmosrp_v76	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v76	10908	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.68	1.19	4	2	8	159
PawanOsman	5	2	1273.24	1277.67	0.74	1068.0	pawankrd-cosmosrp_v79	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v79	10793	3743033	0.57	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.65	1.13	6	2	15	173
zonemercy	6	3	1274.39	1274.39	0.74	5230.0	chaiml-elo-alignment-run-3_v5	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	49847	517812	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.67	1.06	7	3	10	196
PawanOsman	7	2	1274.17	1277.67	0.74	1197.0	pawankrd-cosmosrp_v78	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v78	12920	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.67	1.02	8	2	11	207
PawanOsman	8	2	1273.37	1277.67	0.73	1196.0	pawankrd-cosmosrp_v73	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v73	13819	3743033	0.61	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-18	1.65	0.98	12	2	14	221
Bbbrun0	9	9	1245.57	1249.16	0.76	2407.0	bbchicago-brt-8b-l3-v1-7_4895_v2	8B	BBChicago/Brt-8B-L3_v1.7_with_dpo_lora_s2500	bbchicago-brt-v1_7-dpo-s2500	6018	252425	0.56	0.57	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	BBChicago/Brt-8B-L3_v1.7	2024-07-18	1.07	2.03	5	5	139	39
PawanOsman	10	2	1268.87	1277.67	0.74	1548.0	pawankrd-cosmosrp_v72	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v72	12678	3743033	0.60	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-18	1.56	1.11	9	2	37	183
zonemercy	11	3	1274.11	1274.39	0.73	10695.0	chaiml-elo-alignment-run-3_v8	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v8	210506	517812	0.58	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-15	1.67	0.78	26	3	12	292
PawanOsman	12	2	1272.56	1277.67	0.73	1746.0	pawankrd-cosmosrp_v71	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v71	24610	3743033	0.62	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-17	1.63	0.84	19	2	19	264
zonemercy	13	1	1268.27	1275.52	0.74	5187.0	zonemercy-burly-blue-cp2500_v1	8B	zonemercy/Burly_Blue_cp2500	zonemercy-burly-blue-cp2500_v1	61164	339951	0.61	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	zonemercy/Burly_Blue_cp2	2024-07-14	1.54	0.99	15	1	40	217
PawanOsman	14	2	1269.82	1277.67	0.73	5002.0	pawankrd-cosmosrp_v69	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v69	132481	3743033	0.59	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-16	1.58	0.89	16	2	31	240
zonemercy	15	3	1269.24	1274.39	0.73	5476.0	chaiml-elo-alignment-run-3_v4	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	50315	517812	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.56	0.87	20	3	36	248
shiroe40	16	16	1265.81	1268.65	0.74	982.0	cycy233-l3-ba-e-v0-c1_v1	8B	cycy233/L3-ba-e-v0-c1	auto	10550	97172	0.57	0.59	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-ba-e-v0-c1	2024-07-25	1.49	0.99	17	17	56	218
PawanOsman	17	2	1269.53	1277.67	0.73	5657.0	pawankrd-cosmosrp_v64	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v64	53413	3743033	0.57	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-12	1.57	0.83	24	2	33	268
Jellywibble	18	18	1267.33	1275.73	0.73	5329.0	jellywibble-lora-120k-pr_2801_v2	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	nitral-ai-hathor-l3-8b-v-01_v1	30298	2088354	0.60	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-09	1.52	0.91	18	18	45	236
zonemercy	19	3	1266.00	1274.39	0.73	5639.0	chaiml-elo-alignment-run-3_v3	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	11314	517812	0.62	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.50	0.92	21	3	55	234
PawanOsman	20	2	1267.86	1277.67	0.73	6358.0	pawankrd-cosmosrp_v65	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v65	64112	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-13	1.54	0.77	32	2	42	297
zonemercy	21	18	1263.88	1275.73	0.73	5947.0	jellywibble-lora-120k-pr_2801_v7	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	nitral-ai-hathor-l3-8b-v-01_v1	11856	2088354	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-12	1.45	0.92	25	18	70	233
zonemercy	22	3	1270.55	1274.39	0.73	5801.0	chaiml-elo-alignment-run-3_v6	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	52400	517812	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.59	0.64	46	3	26	351
PawanOsman	23	2	1272.13	1277.67	0.72	50018.0	pawankrd-cosmosrp_v66	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v66	353310	3743033	0.56	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-13	1.62	0.57	62	2	22	405
zonemercy	24	18	1264.34	1275.73	0.73	5613.0	jellywibble-lora-120k-pr_2801_v6	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	jellywibble-lora-120k-pr_2801_v6	11193	2088354	0.62	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-12	1.46	0.85	28	18	69	258
zonemercy	25	3	1265.42	1274.39	0.73	12064.0	chaiml-elo-alignment-run_5486_v1	8B	ChaiML/elo_alignment_run_3_ep1	dpo-v2-0710-rm-score-completed	25153	517812	0.59	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.48	0.79	36	3	60	288
Bbbrun0	26	26	1245.76	1250.32	0.75	861.0	bbchicago-brt-8b-l3-v1-9_2176_v1	8B	BBChicago/Brt-8B-L3_v1.9_with_dpo_lora_s5900	bbchicago-brt-v1_9-dpo-s5900	19612	104643	0.55	0.56	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	BBChicago/Brt-8B-L3_v1.9	2024-07-24	1.08	1.54	10	10	136	96
zonemercy	27	27	1277.90	1289.40	0.72	12582.0	chaiml-elo-run-3-cp7000_v1	8B	ChaiML/elo_run_3_cp7000	nitral-ai-hathor-l3-8b-v-01_v1	24560	447562	0.62	0.64	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_run_3_cp7000	2024-07-12	1.74	0.28	113	113	4	595
zonemercy	28	3	1247.11	1274.39	0.75	5478.0	chaiml-elo-alignment-run-3_v7	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	57438	517812	0.58	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	4.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-13	1.10	1.47	11	3	128	105
shiroe40	29	29	1270.91	1272.38	0.72	1741.0	cycy233-l3-e-v2-c1_v2	8B	cycy233/L3-e-v2-c1	auto	6789	213067	0.58	0.61	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-e-v2-c1	2024-07-19	1.60	0.53	66	47	24	422
zonemercy	30	27	1283.93	1289.40	0.71	5498.0	chaiml-elo-run-3-cp7000_v4	8B	ChaiML/elo_run_3_cp7000	nitral-ai-hathor-l3-8b-v-01_v1	60274	447562	0.64	0.64	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_run_3_cp7000	2024-07-13	1.87	0.02	194	113	3	790
Jellywibble	31	18	1267.83	1275.73	0.73	5387.0	jellywibble-lora-120k-pr_2801_v1	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	nitral-ai-hathor-l3-8b-v-01_v1	32742	2088354	0.60	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-07	1.53	0.64	53	18	43	352
shiroe40	32	32	1247.40	1247.40	0.75	1005.0	cycy233-l3-bc-v0-c1_v1	8B	cycy233/L3-bc-v0-c1	auto	11910	60109	0.56	0.57	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-bc-v0-c1	2024-07-20	1.11	1.43	13	13	126	114
Bbbrun0	33	9	1243.97	1249.16	0.75	1038.0	bbchicago-brt-8b-l3-v1-_4895_v21	8B	BBChicago/Brt-8B-L3_v1.7_with_dpo_lora_s2500	brt-v1_7-dpo-s2500-llama3	8648	252425	0.56	0.57	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	BBChicago/Brt-8B-L3_v1.7	2024-07-24	1.04	1.55	14	5	156	92
zonemercy	34	3	1272.24	1274.39	0.72	9387.0	chaiml-elo-alignment-run-3_v2	8B	ChaiML/elo_alignment_run_3	dpo-v2-0710-rm-score-completed	18961	517812	0.61	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.63	0.45	81	3	21	471
PawanOsman	35	2	1273.06	1277.67	0.72	1517.0	pawankrd-cosmosrp_v74	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v74	12447	3743033	0.61	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-18	1.64	0.41	89	2	16	508
PawanOsman	36	36	1260.88	1270.65	0.73	1199.0	pawankrd-cosmosrp-llama31_v3	8B	PawanKrd/cosmosrp-llama31	cosmosrp-llama31-test	13253	75106	0.57	0.58	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/cosmosrp-llama3	2024-07-26	1.39	0.87	29	29	84	249
zonemercy	37	1	1265.46	1275.52	0.73	10766.0	zonemercy-burly-blue-cp2500_v3	8B	zonemercy/Burly_Blue_cp2500	zonemercy-burly-blue-cp2500_v3	209987	339951	0.57	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	zonemercy/Burly_Blue_cp2	2024-07-15	1.49	0.68	50	1	59	332
shiroe40	38	29	1263.14	1272.38	0.73	2448.0	cycy233-l3-e-v2-c1_v1	8B	cycy233/L3-e-v2-c1	auto	6322	213067	0.58	0.61	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-e-v2-c1	2024-07-18	1.44	0.75	47	47	73	305
PawanOsman	39	2	1269.91	1277.67	0.72	13292.0	pawankrd-cosmosrp_v67	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v67	149072	3743033	0.60	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-13	1.58	0.49	77	2	30	452
shiroe40	40	16	1268.65	1268.65	0.72	1428.0	cycy233-l3-ba-e-v0-c1_v7	8B	cycy233/L3-ba-e-v0-c1	auto	16970	97172	0.59	0.59	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-ba-e-v0-c1	2024-07-25	1.55	0.52	72	17	38	428