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README.md

@@ -1,160 +1,115 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
+library_name: transformers
 tags:
 - chat
 - llama-cpp
 - gguf-my-repo
 pipeline_tag: text-generation
-library_name: transformers
 base_model: anthracite-org/magnum-v4-12b
+model-index:
+- name: magnum-v4-12b
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 33.93
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 30.5
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 9.82
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 6.15
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 10.36
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 28.93
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v4-12b
+      name: Open LLM Leaderboard
 ---
 
 # Triangle104/magnum-v4-12b-Q4_K_M-GGUF
 This model was converted to GGUF format from [`anthracite-org/magnum-v4-12b`](https://huggingface.co/anthracite-org/magnum-v4-12b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/anthracite-org/magnum-v4-12b) for more details on the model.
 
----
-Model details:
--
-This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.
-
-This model is fine-tuned on top of mistralai/Mistral-Nemo-Instruct-2407.
-Prompting
-
-A typical input would look like this:
-
-<s>[INST] SYSTEM MESSAGE
-USER MESSAGE[/INST] ASSISTANT MESSAGE</s>[INST] USER MESSAGE[/INST]
-
-SillyTavern templates
--
-Below are Instruct and Context templates for use within SillyTavern.
-context template
-
-default SillyTavern template works fine
-
-instruct template
--
-default SillyTavern template works fine
-
-Axolotl config
--
-See axolotl config
-
-base_model: mistralai/Mistral-Nemo-Instruct-2407
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-hub_model_id: anthracite-org/magnum-v4-12b-r2
-hub_strategy: "all_checkpoints"
-push_dataset_to_hub:
-hf_use_auth_token: true
-
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-datasets:
-  - path: anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system
-    type: custommistralv3tekken
-  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
-    type: custommistralv3tekken
-  - path: anthracite-org/kalo-opus-instruct-3k-filtered-no-system
-    type: custommistralv3tekken
-  - path: anthracite-org/nopm_claude_writing_fixed
-    type: custommistralv3tekken
-  - path: anthracite-org/kalo_opus_misc_240827_no_system
-    type: custommistralv3tekken
-  - path: anthracite-org/kalo_misc_part2_no_system
-    type: custommistralv3tekken
-#chat_template: chatml
-shuffle_merged_datasets: true
-#default_system_message: "You are an assistant that responds to the user."
-dataset_prepared_path: /workspace/data/magnum-12b-data
-val_set_size: 0.0
-output_dir: /workspace/data/12b-fft-out
-
-sequence_len: 32768
-sample_packing: true
-pad_to_sequence_len: true
-
-adapter:
-lora_model_dir:
-lora_r:
-lora_alpha:
-lora_dropout:
-lora_target_linear:
-lora_fan_in_fan_out:
-
-wandb_project: 12b-magnum-fft
-wandb_entity:
-wandb_watch:
-wandb_name: v4-r2-attempt-01
-wandb_log_model:
-
-gradient_accumulation_steps: 2
-micro_batch_size: 1
-num_epochs: 2
-optimizer: adamw_bnb_8bit
-lr_scheduler: cosine
-learning_rate: 0.00001
-
-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
-
-warmup_steps: 40
-evals_per_epoch:
-eval_table_size:
-eval_max_new_tokens:
-saves_per_epoch: 2
-debug:
-deepspeed: deepspeed_configs/zero2.json
-weight_decay: 0.1
-fsdp:
-fsdp_config:
-special_tokens:
-  pad_token: <pad>
-
-
-Credits
--
-We'd like to thank Recursal / Featherless for sponsoring the compute for this train, Featherless has been hosting our Magnum models since the first 72 B and has given thousands of people access to our models and helped us grow.
-
-We would also like to thank all members of Anthracite who made this finetune possible.
-Datasets
-
-    anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system
-    anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
-    anthracite-org/kalo-opus-instruct-3k-filtered-no-system
-    anthracite-org/nopm_claude_writing_fixed
-    anthracite-org/kalo_opus_misc_240827_no_system
-    anthracite-org/kalo_misc_part2_no_system
-
-Training
--
-The training was done for 2 epochs. We used 8xH100s GPUs graciously provided by Recursal AI / Featherless AI for the full-parameter fine-tuning of the model.
-
----
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)