cgato-thespice-7b-invert_1522

submission_id: cgato-thespice-7b-invert_1522_v1

developer_uid: c.gato

status: torndown

model_repo: cgato/TheSpice-7b-InvertedInstruct-v0.2.3

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

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}

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: 2024-04-16T20:38:58+00:00

model_name: cgato-thespice-7b-invert_1522_v1

model_eval_status: success

model_group: cgato/TheSpice-7b-Invert

num_battles: 5951

num_wins: 3227

celo_rating: 1176.97

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: cgato-thespice-7b-invert_1522_v1

ineligible_reason: propriety_total_count < 800

language_model: cgato/TheSpice-7b-InvertedInstruct-v0.2.3

model_size: 7B

reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2

us_pacific_date: 2024-04-16

win_ratio: 0.5422618047386993

preference_data_url: None

Resubmit model

Reference Models

Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-invert-1522-v1-mkmlizer
Waiting for job on cgato-thespice-7b-invert-1522-v1-mkmlizer to finish
cgato-thespice-7b-invert-1522-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║     _____            __           __                                ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║       /___/                                                         ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  Version: 0.6.11                                                    ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-1522-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-invert-1522-v1-mkmlizer: Downloaded to shared memory in 28.168s
cgato-thespice-7b-invert-1522-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-invert-1522-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-invert-1522-v1-mkmlizer: Reading /tmp/tmp5mthsan1/model.safetensors.index.json
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cgato-thespice-7b-invert-1522-v1-mkmlizer: quantized model in 18.917s
cgato-thespice-7b-invert-1522-v1-mkmlizer: Processed model cgato/TheSpice-7b-InvertedInstruct-v0.2.3 in 48.545s
cgato-thespice-7b-invert-1522-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-invert-1522-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-invert-1522-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1/tokenizer_config.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1/special_tokens_map.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1/tokenizer.model
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1/config.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1/tokenizer.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v1/mkml_model.tensors
cgato-thespice-7b-invert-1522-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-invert-1522-v1-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.
cgato-thespice-7b-invert-1522-v1-mkmlizer:   warnings.warn(
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cgato-thespice-7b-invert-1522-v1-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.
cgato-thespice-7b-invert-1522-v1-mkmlizer:   warnings.warn(
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cgato-thespice-7b-invert-1522-v1-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.
cgato-thespice-7b-invert-1522-v1-mkmlizer:   warnings.warn(
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cgato-thespice-7b-invert-1522-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-invert-1522-v1-mkmlizer: Saving duration: 0.335s
cgato-thespice-7b-invert-1522-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.438s
cgato-thespice-7b-invert-1522-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-invert-1522-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-invert-1522-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/config.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/special_tokens_map.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/vocab.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/merges.txt
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/tokenizer_config.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/tokenizer.json
cgato-thespice-7b-invert-1522-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v1_reward/reward.tensors
Job cgato-thespice-7b-invert-1522-v1-mkmlizer completed after 74.36s with status: succeeded
Stopping job with name cgato-thespice-7b-invert-1522-v1-mkmlizer
Pipeline stage MKMLizer completed in 76.16s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-invert-1522-v1
Waiting for inference service cgato-thespice-7b-invert-1522-v1 to be ready
Inference service cgato-thespice-7b-invert-1522-v1 ready after 30.543156147003174s
Pipeline stage ISVCDeployer completed in 36.93s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8732333183288574s
Received healthy response to inference request in 1.2377049922943115s
Received healthy response to inference request in 1.1979882717132568s
Received healthy response to inference request in 1.198401689529419s
Received healthy response to inference request in 1.4439027309417725s
5 requests
0 failed requests
5th percentile: 1.1980709552764892
10th percentile: 1.1981536388397216
20th percentile: 1.1983190059661866
30th percentile: 1.2062623500823975
40th percentile: 1.2219836711883545
50th percentile: 1.2377049922943115
60th percentile: 1.320184087753296
70th percentile: 1.4026631832122802
80th percentile: 1.5297688484191896
90th percentile: 1.7015010833740234
95th percentile: 1.7873672008514403
99th percentile: 1.856060094833374
mean time: 1.3902462005615235
Pipeline stage StressChecker completed in 7.75s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
cgato-thespice-7b-invert_1522_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-invert_1522_v1 status is now inactive due to auto deactivation removed underperforming models
Deleting key cgato-l3-thespice-8b-v0-8-3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
admin requested tearing down of cgato-thespice-7b-invert_1522_v1
Running pipeline stage ISVCDeleter
Deleting key cgato-l3-thespice-8b-v0-8-3-v1_reward/vocab.json from bucket guanaco-reward-models
Checking if service cgato-thespice-7b-invert-1522-v1 is running
Pipeline stage MKMLModelDeleter completed in 3.03s
cgato-l3-thespice-8b-v0-8-3_v1 status is now torndown due to DeploymentManager action
Tearing down inference service cgato-thespice-7b-invert-1522-v1
Toredown service cgato-thespice-7b-invert-1522-v1
Pipeline stage ISVCDeleter completed in 4.25s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-1522-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-1522-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.05s
cgato-thespice-7b-invert_1522_v1 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	1.72	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	1.45	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	1.31	3	3	17	134
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	1.18	4	2	8	160
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	1.12	6	2	15	174
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	197
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	1.01	8	2	11	208
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	0.97	12	2	14	222
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	2.02	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	184
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	294
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	0.83	19	2	19	266
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	218
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	0.88	16	2	31	242
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	250
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	0.98	17	17	56	219
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	270
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	0.90	18	18	45	238
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	0.91	21	3	55	236
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	0.76	32	2	42	299
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	235
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	352
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	0.56	62	2	22	406
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	0.84	28	18	69	260
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	0.78	36	3	60	290
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	1.53	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	115	115	4	597
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	1.46	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	48	24	423
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	193	115	3	792
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	51	18	43	353
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	1.42	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	1.54	14	5	157	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	472
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	88	2	16	509
PawanOsman	36	36	1260.88	1270.65	0.73	1199.0	pawankrd-cosmosrp-llama31_v3	8B	PawanKrd/cosmosrp-llama31	cosmosrp-llama31-test	13253	75105	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	30	30	84	251
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	333
PawanOsman	38	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	453
shiroe40	39	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	48	48	73	307
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	429