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RichardErkhov/
HuggingFaceH4_-_mistral-7b-anthropic-gguf

Name: HuggingFaceH4_-_mistral-7b-anthropic-gguf
Rating: 2.5 (406 reviews)

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Quantization made by Richard Erkhov.

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mistral-7b-anthropic - GGUF

Model creator: https://huggingface.co/HuggingFaceH4/
Original model: https://huggingface.co/HuggingFaceH4/mistral-7b-anthropic/

Name	Quant method	Size
mistral-7b-anthropic.Q2_K.gguf	Q2_K	2.53GB
mistral-7b-anthropic.IQ3_XS.gguf	IQ3_XS	2.81GB
mistral-7b-anthropic.IQ3_S.gguf	IQ3_S	2.96GB
mistral-7b-anthropic.Q3_K_S.gguf	Q3_K_S	2.95GB
mistral-7b-anthropic.IQ3_M.gguf	IQ3_M	3.06GB
mistral-7b-anthropic.Q3_K.gguf	Q3_K	3.28GB
mistral-7b-anthropic.Q3_K_M.gguf	Q3_K_M	3.28GB
mistral-7b-anthropic.Q3_K_L.gguf	Q3_K_L	3.56GB
mistral-7b-anthropic.IQ4_XS.gguf	IQ4_XS	3.67GB
mistral-7b-anthropic.Q4_0.gguf	Q4_0	3.83GB
mistral-7b-anthropic.IQ4_NL.gguf	IQ4_NL	3.87GB
mistral-7b-anthropic.Q4_K_S.gguf	Q4_K_S	3.86GB
mistral-7b-anthropic.Q4_K.gguf	Q4_K	4.07GB
mistral-7b-anthropic.Q4_K_M.gguf	Q4_K_M	4.07GB
mistral-7b-anthropic.Q4_1.gguf	Q4_1	4.24GB
mistral-7b-anthropic.Q5_0.gguf	Q5_0	4.65GB
mistral-7b-anthropic.Q5_K_S.gguf	Q5_K_S	4.65GB
mistral-7b-anthropic.Q5_K.gguf	Q5_K	4.78GB
mistral-7b-anthropic.Q5_K_M.gguf	Q5_K_M	4.78GB
mistral-7b-anthropic.Q5_1.gguf	Q5_1	5.07GB
mistral-7b-anthropic.Q6_K.gguf	Q6_K	5.53GB

Original model description:

license: apache-2.0 base_model: HuggingFaceH4/mistral-7b-cai tags:

alignment-handbook
generated_from_trainer datasets:
HuggingFaceH4/ultrafeedback_binarized_fixed
HuggingFaceH4/cai-conversation-harmless model-index:
name: mistral-7b-dpo-v21.0cai.0.2 results: []

Mistral 7B Constitutional AI

This model is a DPO-aligned version of Mistral 7B on the HuggingFaceH4/ultrafeedback_binarized_fixed and the HuggingFaceH4/cai-conversation-harmless datasets.

It achieves the following results on the evaluation set:

Loss: 0.6327
Rewards/chosen: -9.8716
Rewards/rejected: -14.5465
Rewards/accuracies: 0.6725
Rewards/margins: 4.6749
Logps/rejected: -329.8578
Logps/chosen: -294.6768
Logits/rejected: -2.1023
Logits/chosen: -2.1648

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-07
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6817	0.02	100	0.6873	0.0149	0.0002	0.5150	0.0147	-184.3912	-195.8124	-3.1605	-3.1560
0.6767	0.05	200	0.6614	0.0825	0.0169	0.5575	0.0656	-184.2246	-195.1362	-3.1654	-3.1605
0.6328	0.07	300	0.6246	-0.0374	-0.2112	0.5875	0.1738	-186.5047	-196.3349	-3.1579	-3.1529
0.5919	0.1	400	0.5978	0.2812	-0.0666	0.6125	0.3478	-185.0590	-193.1489	-3.1292	-3.1243
0.5545	0.12	500	0.5800	0.1742	-0.2810	0.6275	0.4552	-187.2035	-194.2191	-3.0819	-3.0788
0.5926	0.14	600	0.5599	0.2410	-0.3076	0.6425	0.5487	-187.4693	-193.5507	-3.0601	-3.0597
0.5326	0.17	700	0.5385	-0.2501	-0.9698	0.6400	0.7197	-194.0914	-198.4624	-2.9076	-2.9090
0.5126	0.19	800	0.5238	-0.3616	-1.1783	0.6525	0.8167	-196.1764	-199.5769	-2.9965	-2.9963
0.5283	0.22	900	0.5289	-0.4142	-1.2542	0.6775	0.8400	-196.9348	-200.1031	-3.0133	-3.0134
0.5303	0.24	1000	0.5214	-0.5949	-1.5888	0.6600	0.9939	-200.2815	-201.9101	-2.9663	-2.9669
0.5969	0.26	1100	0.5235	-0.5924	-1.5222	0.6600	0.9298	-199.6154	-201.8848	-2.9402	-2.9468
0.581	0.29	1200	0.5887	-0.7548	-1.7075	0.6400	0.9527	-201.4678	-203.5091	-2.7065	-2.7227
0.817	0.31	1300	0.6620	-1.5060	-2.4221	0.6500	0.9160	-208.6137	-211.0213	-2.7717	-2.7800
0.6039	0.34	1400	0.5321	-1.6820	-2.8439	0.6425	1.1619	-212.8325	-212.7814	-2.6828	-2.6917
0.6666	0.36	1500	0.5303	-1.3875	-2.6384	0.6475	1.2509	-210.7773	-209.8365	-2.8557	-2.8594
0.6907	0.39	1600	0.5409	-2.0657	-3.2214	0.6650	1.1556	-216.6068	-216.6184	-2.8227	-2.8288
0.5772	0.41	1700	0.5309	-1.9849	-3.2833	0.6875	1.2985	-217.2264	-215.8097	-2.6498	-2.6635
0.5601	0.43	1800	0.5281	-1.7365	-3.0643	0.6575	1.3278	-215.0359	-213.3255	-2.8890	-2.8918
0.576	0.46	1900	0.5266	-1.4822	-2.9294	0.6725	1.4472	-213.6872	-210.7831	-2.7369	-2.7427
1.2064	0.48	2000	0.5538	-2.5493	-3.7625	0.6675	1.2132	-222.0182	-221.4542	-2.6773	-2.6957
0.5751	0.51	2100	0.5465	-1.9246	-3.1480	0.6425	1.2234	-215.8728	-215.2067	-2.6490	-2.6657
0.4757	0.53	2200	0.5297	-1.8443	-3.1553	0.6325	1.3110	-215.9462	-214.4039	-2.6882	-2.7115
0.4771	0.55	2300	0.5386	-2.3340	-3.7443	0.6500	1.4103	-221.8360	-219.3013	-2.6415	-2.6623
0.481	0.58	2400	0.5355	-1.6085	-3.0800	0.6550	1.4715	-215.1930	-212.0460	-2.6073	-2.6293
0.523	0.6	2500	0.5131	-2.6139	-4.2353	0.6625	1.6214	-226.7459	-222.0998	-2.6134	-2.6394
0.6263	0.63	2600	0.5287	-2.6614	-4.0538	0.6450	1.3924	-224.9310	-222.5747	-2.6189	-2.6361
0.5973	0.65	2700	0.5132	-2.7089	-4.1248	0.625	1.4159	-225.6406	-223.0499	-2.6167	-2.6317
0.8209	0.67	2800	0.5165	-2.7085	-4.1871	0.625	1.4786	-226.2637	-223.0462	-2.5605	-2.5803
0.5625	0.7	2900	0.5117	-3.4747	-5.0369	0.6325	1.5622	-234.7624	-230.7079	-2.5891	-2.6163
0.5913	0.72	3000	0.5164	-2.5844	-4.3822	0.6675	1.7978	-228.2149	-221.8051	-2.6421	-2.6632
0.7441	0.75	3100	0.5175	-2.4900	-4.2883	0.6725	1.7983	-227.2762	-220.8608	-2.6254	-2.6465
0.6169	0.77	3200	0.5163	-2.2489	-3.8666	0.6600	1.6176	-223.0589	-218.4503	-2.6517	-2.6775
0.5347	0.79	3300	0.5222	-2.6699	-4.3844	0.6375	1.7145	-228.2368	-222.6600	-2.6712	-2.6909
0.5369	0.82	3400	0.5244	-2.7710	-4.6352	0.6600	1.8642	-230.7449	-223.6711	-2.5304	-2.5595
0.5613	0.84	3500	0.5431	-3.7645	-5.6773	0.6475	1.9128	-241.1664	-233.6063	-2.5348	-2.5604
0.6395	0.87	3600	0.5332	-3.8666	-5.6894	0.6525	1.8227	-241.2867	-234.6274	-2.5479	-2.5778
0.6552	0.89	3700	0.5149	-2.9168	-4.7306	0.6525	1.8138	-231.6990	-225.1294	-2.4580	-2.4901
0.6381	0.91	3800	0.5081	-2.6182	-4.3003	0.6625	1.6821	-227.3964	-222.1432	-2.4730	-2.4991
0.5355	0.94	3900	0.5100	-2.5302	-4.2476	0.6475	1.7173	-226.8689	-221.2634	-2.5875	-2.6065
0.5488	0.96	4000	0.5164	-3.1540	-4.8339	0.6550	1.6798	-232.7318	-227.5013	-2.7017	-2.7215
0.6802	0.99	4100	0.5134	-2.6060	-4.2916	0.6625	1.6856	-227.3087	-222.0207	-2.6010	-2.6250
0.0976	1.01	4200	0.5031	-3.0885	-5.0494	0.6625	1.9609	-234.8874	-226.8463	-2.4721	-2.5028
0.0839	1.03	4300	0.5027	-3.3469	-5.4366	0.6625	2.0897	-238.7592	-229.4302	-2.3886	-2.4238
0.0788	1.06	4400	0.5398	-4.4307	-6.8568	0.6775	2.4261	-252.9614	-240.2679	-2.1805	-2.2275
0.0701	1.08	4500	0.5432	-4.3739	-7.0979	0.6975	2.7240	-255.3717	-239.7001	-2.1935	-2.2437
0.0959	1.11	4600	0.5362	-3.9784	-6.3235	0.6900	2.3451	-247.6284	-235.7450	-2.2860	-2.3272
0.1177	1.13	4700	0.5411	-4.1933	-6.8436	0.6800	2.6504	-252.8295	-237.8937	-2.3259	-2.3682
0.1651	1.16	4800	0.5737	-4.8158	-6.7229	0.6700	1.9071	-251.6221	-244.1190	-2.2753	-2.3139
0.1298	1.18	4900	0.5528	-4.6526	-6.8433	0.6825	2.1907	-252.8262	-242.4874	-2.4856	-2.5188
0.1143	1.2	5000	0.5512	-4.6212	-7.0807	0.6800	2.4595	-255.2000	-242.1734	-2.5190	-2.5542
0.1145	1.23	5100	0.5496	-4.0598	-6.6147	0.6775	2.5548	-250.5396	-236.5594	-2.5737	-2.6008
0.2324	1.25	5200	0.5524	-4.9650	-7.6613	0.6725	2.6962	-261.0058	-245.6115	-2.4382	-2.4737
0.0867	1.28	5300	0.5449	-4.9568	-7.6771	0.6625	2.7203	-261.1645	-245.5292	-2.4367	-2.4702
0.0503	1.3	5400	0.5351	-4.5684	-7.1860	0.6625	2.6176	-256.2527	-241.6449	-2.4235	-2.4557
0.0977	1.32	5500	0.5431	-4.5599	-7.1317	0.6550	2.5718	-255.7096	-241.5597	-2.5311	-2.5614
0.1564	1.35	5600	0.5512	-5.1430	-8.0510	0.6750	2.9080	-264.9027	-247.3911	-2.3498	-2.3976
0.0967	1.37	5700	0.5520	-4.5072	-7.4506	0.6750	2.9433	-258.8989	-241.0335	-2.2110	-2.2631
0.2046	1.4	5800	0.5588	-5.5328	-8.5314	0.6800	2.9986	-269.7068	-251.2888	-2.2155	-2.2677
0.0985	1.42	5900	0.5429	-5.1915	-7.9421	0.6675	2.7505	-263.8138	-247.8765	-2.2606	-2.3077
0.1398	1.44	6000	0.5350	-4.9761	-7.9378	0.6800	2.9616	-263.7706	-245.7224	-2.2291	-2.2809
0.099	1.47	6100	0.5440	-4.6202	-7.4996	0.6650	2.8794	-259.3892	-242.1633	-2.3362	-2.3859
0.1279	1.49	6200	0.5389	-4.9461	-7.7908	0.6625	2.8448	-262.3015	-245.4217	-2.2276	-2.2734
0.0778	1.52	6300	0.5451	-4.9550	-7.8964	0.6625	2.9414	-263.3570	-245.5110	-2.4781	-2.5193
0.0911	1.54	6400	0.5412	-5.4552	-8.3139	0.6675	2.8588	-267.5324	-250.5128	-2.3604	-2.4048
0.2149	1.56	6500	0.5241	-4.4512	-7.3194	0.6725	2.8682	-257.5873	-240.4732	-2.4011	-2.4461
0.1739	1.59	6600	0.5329	-5.0143	-7.7507	0.6825	2.7364	-261.8999	-246.1036	-2.4143	-2.4577
0.0842	1.61	6700	0.5395	-5.1195	-8.0856	0.6800	2.9661	-265.2489	-247.1560	-2.3877	-2.4376
0.105	1.64	6800	0.5423	-4.9379	-7.7557	0.6775	2.8178	-261.9503	-245.3403	-2.3798	-2.4323
0.086	1.66	6900	0.5351	-4.3598	-7.1156	0.6775	2.7559	-255.5494	-239.5588	-2.3870	-2.4383
0.0622	1.68	7000	0.5394	-4.6830	-7.6578	0.6825	2.9747	-260.9710	-242.7915	-2.4276	-2.4779
0.0973	1.71	7100	0.5319	-4.7475	-7.6567	0.6750	2.9091	-260.9596	-243.4364	-2.3010	-2.3564
0.1052	1.73	7200	0.5284	-4.5972	-7.5385	0.6750	2.9413	-259.7779	-241.9329	-2.3696	-2.4201
0.0645	1.76	7300	0.5339	-4.9822	-8.0212	0.6775	3.0390	-264.6048	-245.7831	-2.2857	-2.3440
0.0923	1.78	7400	0.5385	-4.6369	-7.6632	0.6650	3.0263	-261.0246	-242.3295	-2.2563	-2.3150
0.0842	1.81	7500	0.5394	-4.8705	-7.6765	0.6600	2.8060	-261.1580	-244.6661	-2.2808	-2.3287
0.1178	1.83	7600	0.5253	-4.7985	-7.5635	0.6675	2.7650	-260.0276	-243.9457	-2.4022	-2.4463
0.1255	1.85	7700	0.5355	-4.7007	-7.4363	0.6675	2.7355	-258.7556	-242.9684	-2.5073	-2.5501
0.1541	1.88	7800	0.5440	-4.9294	-7.6465	0.6500	2.7172	-260.8584	-245.2547	-2.3551	-2.4036
0.0893	1.9	7900	0.5397	-5.2135	-8.3241	0.6575	3.1106	-267.6339	-248.0959	-2.3214	-2.3784
0.1203	1.93	8000	0.5296	-4.8644	-7.8598	0.6550	2.9954	-262.9913	-244.6054	-2.4509	-2.4969
0.1018	1.95	8100	0.5381	-5.3471	-8.4918	0.6625	3.1447	-269.3113	-249.4323	-2.4193	-2.4671
0.0767	1.97	8200	0.5386	-5.2151	-8.3734	0.6675	3.1582	-268.1267	-248.1124	-2.4873	-2.5329
0.0801	2.0	8300	0.5429	-5.8103	-9.0391	0.6575	3.2288	-274.7842	-254.0639	-2.4348	-2.4867
0.034	2.02	8400	0.5566	-5.7907	-9.2424	0.6625	3.4518	-276.8175	-253.8677	-2.3679	-2.4272
0.0246	2.05	8500	0.5758	-5.6317	-9.1533	0.6625	3.5216	-275.9264	-252.2783	-2.3335	-2.3958
0.0187	2.07	8600	0.5770	-5.5795	-9.2568	0.6725	3.6773	-276.9613	-251.7559	-2.3614	-2.4166
0.0606	2.09	8700	0.6115	-7.1190	-11.2853	0.6750	4.1663	-297.2460	-267.1512	-2.2737	-2.3365
0.0402	2.12	8800	0.6164	-7.0531	-11.1316	0.6600	4.0785	-295.7089	-266.4919	-2.2005	-2.2654
0.0263	2.14	8900	0.6209	-8.1609	-12.3710	0.6650	4.2102	-308.1034	-277.5696	-2.0958	-2.1661
0.0242	2.17	9000	0.6042	-6.7201	-10.7618	0.6725	4.0416	-292.0106	-263.1622	-2.1651	-2.2304
0.0383	2.19	9100	0.6080	-7.7898	-11.9356	0.6750	4.1458	-303.7489	-273.8587	-2.1006	-2.1662
0.0371	2.21	9200	0.6149	-7.5635	-11.7050	0.6675	4.1415	-301.4433	-271.5960	-2.1556	-2.2155
0.0279	2.24	9300	0.6155	-8.1686	-12.4447	0.6775	4.2760	-308.8397	-277.6473	-2.1778	-2.2399
0.021	2.26	9400	0.6137	-7.8294	-12.0416	0.6700	4.2122	-304.8092	-274.2550	-2.2403	-2.2958
0.0374	2.29	9500	0.6238	-7.9227	-12.2842	0.6750	4.3614	-307.2347	-275.1884	-2.2926	-2.3496
0.0412	2.31	9600	0.6126	-7.7094	-11.9775	0.6700	4.2681	-304.1685	-273.0553	-2.2377	-2.2961
0.0413	2.33	9700	0.6130	-7.6030	-11.8721	0.6675	4.2691	-303.1140	-271.9912	-2.2505	-2.3100
0.0361	2.36	9800	0.6248	-8.1273	-12.6010	0.6750	4.4737	-310.4034	-277.2341	-2.2249	-2.2866
0.0289	2.38	9900	0.6192	-7.9924	-12.3825	0.6675	4.3901	-308.2185	-275.8853	-2.2473	-2.3067
0.038	2.41	10000	0.6250	-8.4114	-12.8701	0.6675	4.4586	-313.0937	-280.0753	-2.2312	-2.2938
0.0334	2.43	10100	0.6261	-9.1807	-13.7488	0.6825	4.5681	-321.8813	-287.7679	-2.2303	-2.2947
0.0359	2.45	10200	0.6374	-9.8214	-14.2774	0.6650	4.4560	-327.1667	-294.1750	-2.1817	-2.2452
0.0266	2.48	10300	0.6298	-8.3278	-12.5691	0.6650	4.2413	-310.0836	-279.2391	-2.2947	-2.3521
0.0423	2.5	10400	0.6267	-8.7527	-13.2552	0.6675	4.5025	-316.9453	-283.4879	-2.3034	-2.3620
0.0329	2.53	10500	0.6386	-8.9354	-13.5549	0.6700	4.6195	-319.9424	-285.3152	-2.2819	-2.3423
0.039	2.55	10600	0.6330	-8.3549	-12.8863	0.6775	4.5314	-313.2566	-279.5103	-2.2924	-2.3528
0.0278	2.58	10700	0.6336	-8.6754	-13.1733	0.6675	4.4979	-316.1258	-282.7150	-2.2319	-2.2929
0.0606	2.6	10800	0.6299	-8.7158	-13.0817	0.6700	4.3658	-315.2101	-283.1195	-2.2116	-2.2731
0.0293	2.62	10900	0.6259	-8.9092	-13.2926	0.6725	4.3834	-317.3194	-285.0532	-2.1572	-2.2209
0.0196	2.65	11000	0.6219	-9.1783	-13.5617	0.6700	4.3835	-320.0104	-287.7436	-2.1533	-2.2163
0.0405	2.67	11100	0.6209	-8.9912	-13.3040	0.6700	4.3128	-317.4330	-285.8734	-2.1378	-2.2017
0.0278	2.7	11200	0.6300	-9.8318	-14.2684	0.6700	4.4366	-327.0771	-294.2787	-2.1220	-2.1862
0.0307	2.72	11300	0.6356	-9.7027	-14.1764	0.6700	4.4737	-326.1576	-292.9880	-2.1316	-2.1945
0.0242	2.74	11400	0.6327	-9.8085	-14.2574	0.6625	4.4489	-326.9674	-294.0465	-2.1072	-2.1680
0.0242	2.77	11500	0.6308	-9.3697	-13.8420	0.6650	4.4723	-322.8135	-289.6585	-2.1273	-2.1882
0.0337	2.79	11600	0.6350	-9.2810	-13.7917	0.6700	4.5107	-322.3100	-288.7711	-2.1600	-2.2215
0.0302	2.82	11700	0.6450	-10.2754	-14.9521	0.6675	4.6767	-333.9139	-298.7146	-2.1339	-2.1965
0.0354	2.84	11800	0.6451	-10.3736	-15.0743	0.6725	4.7008	-335.1366	-299.6965	-2.1047	-2.1674
0.0153	2.86	11900	0.6420	-10.2126	-14.9126	0.6700	4.7000	-333.5196	-298.0872	-2.1102	-2.1728
0.0388	2.89	12000	0.6407	-10.2075	-14.9081	0.6725	4.7006	-333.4741	-298.0356	-2.1059	-2.1687
0.0253	2.91	12100	0.6353	-10.0842	-14.7598	0.6650	4.6756	-331.9908	-296.8029	-2.0968	-2.1594
0.0317	2.94	12200	0.6352	-9.9956	-14.6819	0.6750	4.6863	-331.2123	-295.9169	-2.1042	-2.1665
0.0431	2.96	12300	0.6337	-9.8807	-14.5540	0.6675	4.6733	-329.9332	-294.7676	-2.1034	-2.1660
0.0233	2.98	12400	0.6326	-9.8796	-14.5449	0.6675	4.6653	-329.8422	-294.7567	-2.1032	-2.1657

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0

RichardErkhov/HuggingFaceH4_-_mistral-7b-anthropic-gguf

Original model description:

Mistral 7B Constitutional AI

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
HuggingFaceH4_-_mistral-7b-anthropic-gguf