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
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
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Model tree for macadeliccc/magistrate-3.2-3b-it-GGUF
Base model
meta-llama/Llama-3.2-3B