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RichardErkhov/
macadeliccc_-_magistrate-3.2-3b-it-gguf

Name: macadeliccc_-_magistrate-3.2-3b-it-gguf
Availability: InStock

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magistrate-3.2-3b-it - GGUF

Model creator: https://huggingface.co/macadeliccc/
Original model: https://huggingface.co/macadeliccc/magistrate-3.2-3b-it/

Name	Quant method	Size
magistrate-3.2-3b-it.Q2_K.gguf	Q2_K	1.27GB
magistrate-3.2-3b-it.IQ3_XS.gguf	IQ3_XS	1.38GB
magistrate-3.2-3b-it.IQ3_S.gguf	IQ3_S	1.44GB
magistrate-3.2-3b-it.Q3_K_S.gguf	Q3_K_S	1.44GB
magistrate-3.2-3b-it.IQ3_M.gguf	IQ3_M	1.49GB
magistrate-3.2-3b-it.Q3_K.gguf	Q3_K	1.57GB
magistrate-3.2-3b-it.Q3_K_M.gguf	Q3_K_M	1.57GB
magistrate-3.2-3b-it.Q3_K_L.gguf	Q3_K_L	1.69GB
magistrate-3.2-3b-it.IQ4_XS.gguf	IQ4_XS	1.71GB
magistrate-3.2-3b-it.Q4_0.gguf	Q4_0	1.79GB
magistrate-3.2-3b-it.IQ4_NL.gguf	IQ4_NL	1.79GB
magistrate-3.2-3b-it.Q4_K_S.gguf	Q4_K_S	1.8GB
magistrate-3.2-3b-it.Q4_K.gguf	Q4_K	1.88GB
magistrate-3.2-3b-it.Q4_K_M.gguf	Q4_K_M	1.88GB
magistrate-3.2-3b-it.Q4_1.gguf	Q4_1	1.95GB
magistrate-3.2-3b-it.Q5_0.gguf	Q5_0	2.11GB
magistrate-3.2-3b-it.Q5_K_S.gguf	Q5_K_S	2.11GB
magistrate-3.2-3b-it.Q5_K.gguf	Q5_K	2.16GB
magistrate-3.2-3b-it.Q5_K_M.gguf	Q5_K_M	2.16GB
magistrate-3.2-3b-it.Q5_1.gguf	Q5_1	2.28GB
magistrate-3.2-3b-it.Q6_K.gguf	Q6_K	2.46GB
magistrate-3.2-3b-it.Q8_0.gguf	Q8_0	3.19GB

Original model description:

library_name: transformers license: llama3.2 base_model: macadeliccc/magistrate-3.2-3b-base datasets:

teknium/OpenHermes-2.5
NousResearch/hermes-function-calling-v1
arcee-ai/The-Tome
cognitivecomputations/SystemChat-2.0 tags:
spectrum
llama-3
axolotl
legal
HFforLegal language:
en pipeline_tag: text-generation

magistrate-3.2-3b-it

This model is a fine-tuned version of macadeliccc/magistrate-3.2-3b-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8067

See axolotl config

axolotl version: 0.4.1

yaml

base_model: macadeliccc/magistrate-3.2-3b-base
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/hermes-2.5.jsonl
  # - path: json 
  #   type: sharegpt
  #   conversation: chatml
  #   data_files: train/financial_instructions_cleaned_2.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/glaive-function-calling-5k.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/func-calling-singleturn.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/func-calling.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/json-mode-agentic.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/json-mode-singleturn.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/reasoning_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/systemchat_2_0_small.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/303_creative_llc_v__elenis_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/abitron_austria_gmbh_v__hetronic_international__inc__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/acheson_hotels__llc_v__laufer_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/alexander_v__sc_conference_of_naacp_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/amgen_inc__v__sanofi_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/andy_warhol_found___inc__v__goldsmith_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/arizona_v__navajo_nation_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/becerra__sec__of_h_hs_v__san_carlos_apache_tribe_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/biden_v__nebraska_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/bissonnette_v__lepage_bakeries_park_st___llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/bittner_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/brown_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/cantero_v__bank_of_america__n_a__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/cfpb_v__com__fin__services_assn__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/chiaverini_v__city_of_napoleon_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/ciminelli_v__united_state_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/city_of_grants_pass_v__johnson_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/coinbase__inc__v__bielski_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/coinbase__inc__v__suski_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/connelly_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/corner_post__inc__v__bd__of_governors__frs_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/counterman_v__colorado_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/cruz_v__arizona_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/culley_v__marshall_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dept__of_agric__rural_dev__v__kirtz_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dept__of_education_v__brown_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dept__of_state_v__munoz_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/devillier_v__texas_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/diaz_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dubin_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dupree_v__younger_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/erlinger_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/fbi_v__fikre_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/fda_v__alliance_hippocratic_medicine_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/financial_oversight_board_v__cpi_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/fischer_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/garland__att_y_gen__v__cargill_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/glacier_northwest__inc__v__int_l_brotherhood_of_teamsters_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/gonzalez_v__google_llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/gonzalez_v__trevino_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/great_lakes_insurance_se_v__raiders_retreat_realty_co___llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/groff_v__dejoy_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/harrington_v__purdue_pharma_l_p__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/harrow_v__dept__of_defense_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/health_and_hospital_corp__v__talevski_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/helix_energy_solutions_v__hewitt_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/in_re_grand_jury_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/jack_daniel_s_properties__inc__v__vip_products_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/jones_v__hendrix_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/karcho_polselli_v__irs_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/lac_du_flambeau_band_v__coughlin_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/lindke_v__freed_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/loper_bright_enterprises__inc__v__raimondo__sec__of_comm__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/lora_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/macquarie_infrastructure_corp__v__moab_partners__l_p__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/mallory_v__norfolk_southern_railway_co__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/mcintosh_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/merrill_v__milligan_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/moore_v__harper_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/moore_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/moyle_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/muldrow_v__st__louis_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/murray_v__ubs_securities__llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/murthy__surgeon_gen__v__missouri_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/netchoice__llc_v__paxton_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/new_york_v__new_jersey_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/nra_v__vullo_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/o_connor_ratcliff_v__garnier_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/oh_adjutant_gen__s_dept__v__flra_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/ohio_v__epa_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/perez_v__sturgis_public_schools_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/pugin_v__garland_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/pulsifer_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/relentless__inc__v__dept__of_commerce_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/rudisill_v__mcdonough__sec__of_va_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sackett_v__epa_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/samia_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/santos_zacaria_v__garland__att_y_gen__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sec_v__cochran_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sec_v__jarkesy_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sheetz_v__county_of_el_dorado_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/slack_technologies__llc_v__pirani_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/smith_v__arizona_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/smith_v__spizzirri_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/smith_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/snyder_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/starbucks_corp__v__mckinney_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/students_for_fair_admissions_v__university_of_nc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/texas_v__new_mexico_and_colorado_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/thornell_v__jones_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/truck_insurance_exchange_v__kaiser_gypsum_co__inc__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/trump_v__anderson_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/turkiye_halk_bankasi_a_s__v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/twitter__inc__v__taamneh_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/tyler_v__hennepin_county_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/u_s___ex_rel__polansky_v__executive_health_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/u_s___ex_rel__schutte_v__supervalu_inc__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_trustee_v__john_q__hammons_fall_2006__llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_v__hansen_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_v__rahimi_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_v__texas_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/vidal__under_sec__of_comm__v__elster_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/warner_chappell_music__inc__v__nealy_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/wilkins_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/wilkinson_v__garland__att_y_gen__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/yegiazaryan_v__smagin_sharegpt.json

chat_template: chatml

unfrozen_parameters:
- ^lm_head.weight$
- ^model.embed_tokens.weight$
# input_layernorm layers
- model.layers.0.input_layernorm
- model.layers.1.input_layernorm
- model.layers.2.input_layernorm
- model.layers.3.input_layernorm
- model.layers.4.input_layernorm
- model.layers.5.input_layernorm
- model.layers.6.input_layernorm
- model.layers.7.input_layernorm
- model.layers.8.input_layernorm
- model.layers.9.input_layernorm
- model.layers.10.input_layernorm
- model.layers.11.input_layernorm
- model.layers.12.input_layernorm
- model.layers.13.input_layernorm
# mlp.down_proj layers
- model.layers.0.mlp.down_proj
- model.layers.1.mlp.down_proj
- model.layers.17.mlp.down_proj
- model.layers.19.mlp.down_proj
- model.layers.18.mlp.down_proj
- model.layers.5.mlp.down_proj
- model.layers.20.mlp.down_proj
- model.layers.2.mlp.down_proj
- model.layers.4.mlp.down_proj
- model.layers.6.mlp.down_proj
- model.layers.3.mlp.down_proj
- model.layers.16.mlp.down_proj
- model.layers.15.mlp.down_proj
- model.layers.13.mlp.down_proj
# mlp.gate_proj layers
- model.layers.0.mlp.gate_proj
- model.layers.1.mlp.gate_proj
- model.layers.2.mlp.gate_proj
- model.layers.3.mlp.gate_proj
- model.layers.22.mlp.gate_proj
- model.layers.21.mlp.gate_proj
- model.layers.20.mlp.gate_proj
- model.layers.23.mlp.gate_proj
- model.layers.19.mlp.gate_proj
- model.layers.4.mlp.gate_proj
- model.layers.18.mlp.gate_proj
- model.layers.17.mlp.gate_proj
- model.layers.5.mlp.gate_proj
- model.layers.24.mlp.gate_proj
# mlp.up_proj layers
- model.layers.4.mlp.up_proj
- model.layers.3.mlp.up_proj
- model.layers.5.mlp.up_proj
- model.layers.6.mlp.up_proj
- model.layers.7.mlp.up_proj
- model.layers.2.mlp.up_proj
- model.layers.8.mlp.up_proj
- model.layers.14.mlp.up_proj
- model.layers.13.mlp.up_proj
- model.layers.11.mlp.up_proj
- model.layers.9.mlp.up_proj
- model.layers.1.mlp.up_proj
- model.layers.15.mlp.up_proj
- model.layers.12.mlp.up_proj
# post_attention_layernorm layers
- model.layers.0.post_attention_layernorm
- model.layers.1.post_attention_layernorm
- model.layers.2.post_attention_layernorm
- model.layers.3.post_attention_layernorm
- model.layers.4.post_attention_layernorm
- model.layers.5.post_attention_layernorm
- model.layers.6.post_attention_layernorm
- model.layers.7.post_attention_layernorm
- model.layers.8.post_attention_layernorm
- model.layers.9.post_attention_layernorm
- model.layers.10.post_attention_layernorm
- model.layers.11.post_attention_layernorm
- model.layers.12.post_attention_layernorm
- model.layers.13.post_attention_layernorm
# self_attn.k_proj layers
- model.layers.25.self_attn.k_proj
- model.layers.22.self_attn.k_proj
- model.layers.19.self_attn.k_proj
- model.layers.20.self_attn.k_proj
- model.layers.17.self_attn.k_proj
- model.layers.24.self_attn.k_proj
- model.layers.23.self_attn.k_proj
- model.layers.18.self_attn.k_proj
- model.layers.21.self_attn.k_proj
- model.layers.27.self_attn.k_proj
- model.layers.15.self_attn.k_proj
- model.layers.10.self_attn.k_proj
- model.layers.6.self_attn.k_proj
- model.layers.5.self_attn.k_proj
# self_attn.o_proj layers
- model.layers.13.self_attn.o_proj
- model.layers.7.self_attn.o_proj
- model.layers.12.self_attn.o_proj
- model.layers.10.self_attn.o_proj
- model.layers.5.self_attn.o_proj
- model.layers.21.self_attn.o_proj
- model.layers.6.self_attn.o_proj
- model.layers.19.self_attn.o_proj
- model.layers.8.self_attn.o_proj
- model.layers.20.self_attn.o_proj
- model.layers.22.self_attn.o_proj
- model.layers.9.self_attn.o_proj
- model.layers.17.self_attn.o_proj
- model.layers.11.self_attn.o_proj
# self_attn.q_proj layers
- model.layers.12.self_attn.q_proj
- model.layers.13.self_attn.q_proj
- model.layers.9.self_attn.q_proj
- model.layers.8.self_attn.q_proj
- model.layers.10.self_attn.q_proj
- model.layers.14.self_attn.q_proj
- model.layers.11.self_attn.q_proj
- model.layers.15.self_attn.q_proj
- model.layers.26.self_attn.q_proj
- model.layers.6.self_attn.q_proj
- model.layers.7.self_attn.q_proj
- model.layers.16.self_attn.q_proj
- model.layers.5.self_attn.q_proj
- model.layers.25.self_attn.q_proj
# model.norm layers
# self_attn.v_proj layers
- model.layers.23.self_attn.v_proj
- model.layers.14.self_attn.v_proj
- model.layers.15.self_attn.v_proj
- model.layers.19.self_attn.v_proj
- model.layers.3.self_attn.v_proj
- model.layers.18.self_attn.v_proj
- model.layers.25.self_attn.v_proj
- model.layers.4.self_attn.v_proj
- model.layers.17.self_attn.v_proj
- model.layers.22.self_attn.v_proj
- model.layers.20.self_attn.v_proj
- model.layers.13.self_attn.v_proj
- model.layers.6.self_attn.v_proj
- model.layers.27.self_attn.v_proj

val_set_size: 0.05
output_dir: ./outputs/magistrate-3.2-3b

sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true

adapter: 

wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 8
micro_batch_size: 1
num_epochs: 3
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 2e-4

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
s2_attention:

warmup_steps: 1000
evals_per_epoch: 2
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: deepspeed_configs/zero3.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  eos_token: "<|im_end|>"
  pad_token: "<|end_of_text|>"
tokens:
  - "<|im_start|>"
  - "<|im_end|>"

Model description

Magistrate-3.2-3b-it is a legal assistant specializing in US Supreme Court case law and US Federal regulations.

The base model is pretrained with ~250M tokens containing no synthetic legal data. The instruct model does contain synthetic data.

Intended uses & limitations

This model is for research purposes and for continued development of the legal specialty. You are liable for all model outputs.

Training and evaluation data

This model was trained on a variety of standard open source datasets like OpenHermes-2.5, hermes-function-calling, and some select entries from the Tome. Additionally, I have included a comprehensive, non-synthetic argument dataset. This is a work in progress but has shown promising results so far.

Training procedure

Spectrum top 35% finetune for both pretrain and SFT. Thanks to the cognitive computations team for the work done with spectrum.

Pretraining methodology based on Cohere's paper: To Code, or Not To Code? Exploring Impact of Code in Pre-training
Instruct finetune largely based on OpenHermes-2.5 and hermes-function-calling

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3754	0.0005	1	1.7429
1.0	0.5002	1017	0.8864
0.9482	1.0005	2034	0.8395
0.6817	1.4987	3051	0.8063
0.697	1.9991	4068	0.7580
0.3769	2.4966	5085	0.8140
0.4278	2.9965	6102	0.8067

Framework versions

Transformers 4.45.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.20.0

Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.

RichardErkhov/macadeliccc_-_magistrate-3.2-3b-it-gguf