Upload folder using huggingface_hub
Browse files- README.md +20 -0
- adapter_config.json +47 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +19 -0
- training_args.bin +3 -0
README.md
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---
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base_model: LiquidAI/LFM2-700M
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datasets:
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- trl-lib/Capybara
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library_name: transformers
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tags:
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- trl
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- sft
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- peft
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- lora
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- qlora
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---
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# Pranavz/lfm2-capy-lora
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LoRA adapter trained from `LiquidAI/LFM2-700M` on `trl-lib/Capybara` using supervised fine-tuning (SFT).
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This repository contains adapter weights only (PEFT/LoRA).
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Merged model from the same run: `Pranavz/lfm2-capy-merged`
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adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "LiquidAI/LFM2-700M",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"out_proj",
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"in_proj",
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"w3",
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"k_proj",
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"w1",
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"q_proj",
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"w2",
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"v_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f973ec8dd46d2329927e640dacaf9992dbe8f6cdd35deb2f25146c105be9aee9
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size 35807088
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chat_template.jinja
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{{- bos_token -}}
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{%- set system_prompt = "" -%}
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{%- set ns = namespace(system_prompt="") -%}
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{%- if messages[0]["role"] == "system" -%}
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{%- set ns.system_prompt = messages[0]["content"] -%}
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if tools -%}
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{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
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{%- for tool in tools -%}
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{%- if tool is not string -%}
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{%- set tool = tool | tojson -%}
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{%- endif -%}
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{%- set ns.system_prompt = ns.system_prompt + tool -%}
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{%- if not loop.last -%}
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{%- set ns.system_prompt = ns.system_prompt + ", " -%}
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{%- endif -%}
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{%- endfor -%}
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{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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{%- endif -%}
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{%- for message in messages -%}
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{{- "<|im_start|>" + message["role"] + "\n" -}}
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{%- set content = message["content"] -%}
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{%- if content is not string -%}
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{%- set content = content | tojson -%}
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{%- endif -%}
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{%- if message["role"] == "tool" -%}
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{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
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{%- endif -%}
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{{- content + "<|im_end|>\n" -}}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{- "<|im_start|>assistant\n" -}}
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{%- endif -%}
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tokenizer.json
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|im_end|>",
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"is_local": false,
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"legacy": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|pad|>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"use_default_system_prompt": false,
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"use_fast": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbf46869ef3d104ddec4121e456cf5faf6cc5551f5091d3ee5c8b655b18faf22
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size 5649
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