Upload 8 files
Browse files- .gitattributes +1 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +109 -0
- config.json +37 -0
- special_tokens_map.json +5 -0
- tokenizer.json +3 -0
- tokenizer_config.json +16 -0
- trainer_state.json +1544 -0
.gitattributes
CHANGED
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@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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assets/bondshift-training.png filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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assets/bondshift-training.png filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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adapter_config.json
ADDED
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@@ -0,0 +1,39 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": [],
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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": 64,
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"lora_bias": false,
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"lora_dropout": 0.0,
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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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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"v_proj",
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"o_proj",
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"up_proj",
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"k_proj",
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"down_proj",
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"q_proj"
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],
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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_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 sha256:2f9f7ddc73f92e5a65e5da1787913fbaaf48ad5b31903ce9f583b3ea3cf30ab9
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size 1656902648
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chat_template.jinja
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@@ -0,0 +1,109 @@
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
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{%- endif %}
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{%- if not tools_in_user_message is defined %}
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{%- set tools_in_user_message = true %}
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{%- endif %}
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{%- if not date_string is defined %}
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{%- set date_string = "26 Jul 2024" %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- This block extracts the system message, so we can slot it into the right place. #}
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- endif %}
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{#- System message + builtin tools #}
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{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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{%- if builtin_tools is defined or tools is not none %}
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{{- "Environment: ipython\n" }}
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{%- endif %}
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{%- if builtin_tools is defined %}
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{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
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{%- endif %}
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{{- "Cutting Knowledge Date: December 2023\n" }}
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{{- "Today Date: " + date_string + "\n\n" }}
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{%- if tools is not none and not tools_in_user_message %}
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{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{%- endif %}
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{{- system_message }}
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{{- "<|eot_id|>" }}
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{#- Custom tools are passed in a user message with some extra guidance #}
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{%- if tools_in_user_message and not tools is none %}
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{#- Extract the first user message so we can plug it in here #}
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{%- if messages | length != 0 %}
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{%- set first_user_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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{%- endif %}
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{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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{{- "Given the following functions, please respond with a JSON for a function call " }}
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{{- "with its proper arguments that best answers the given prompt.\n\n" }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{{- first_user_message + "<|eot_id|>"}}
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{%- endif %}
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{%- for message in messages %}
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{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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{%- elif 'tool_calls' in message %}
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{%- if not message.tool_calls|length == 1 %}
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{{- raise_exception("This model only supports single tool-calls at once!") }}
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{%- endif %}
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{%- set tool_call = message.tool_calls[0].function %}
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{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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{{- "<|python_tag|>" + tool_call.name + ".call(" }}
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{%- for arg_name, arg_val in tool_call.arguments | items %}
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{{- arg_name + '="' + arg_val + '"' }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- endif %}
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{%- endfor %}
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{{- ")" }}
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{%- else %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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{{- '{"name": "' + tool_call.name + '", ' }}
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{{- '"parameters": ' }}
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{{- tool_call.arguments | tojson }}
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{{- "}" }}
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{%- endif %}
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{%- if builtin_tools is defined %}
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{#- This means we're in ipython mode #}
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{{- "<|eom_id|>" }}
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{%- else %}
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{{- "<|eot_id|>" }}
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{%- endif %}
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{%- elif message.role == "tool" or message.role == "ipython" %}
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{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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{%- if message.content is mapping or message.content is iterable %}
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| 100 |
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{{- message.content | tojson }}
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{%- else %}
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{{- message.content }}
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{%- endif %}
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| 104 |
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{{- "<|eot_id|>" }}
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| 105 |
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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| 108 |
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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| 109 |
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{%- endif %}
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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| 8 |
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"dtype": "bfloat16",
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| 9 |
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"eos_token_id": 128009,
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| 10 |
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"head_dim": 128,
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| 11 |
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"hidden_act": "silu",
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| 12 |
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"hidden_size": 8192,
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| 13 |
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"initializer_range": 0.02,
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| 14 |
+
"intermediate_size": 28672,
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| 15 |
+
"max_position_embeddings": 131072,
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| 16 |
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"mlp_bias": false,
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| 17 |
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"model_type": "llama",
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| 18 |
+
"num_attention_heads": 64,
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| 19 |
+
"num_hidden_layers": 80,
|
| 20 |
+
"num_key_value_heads": 8,
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| 21 |
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"pad_token_id": 128009,
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| 22 |
+
"pretraining_tp": 1,
|
| 23 |
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"rms_norm_eps": 1e-05,
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| 24 |
+
"rope_parameters": {
|
| 25 |
+
"factor": 8.0,
|
| 26 |
+
"high_freq_factor": 4.0,
|
| 27 |
+
"low_freq_factor": 1.0,
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| 28 |
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"original_max_position_embeddings": 8192,
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| 29 |
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"rope_theta": 500000.0,
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| 30 |
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"rope_type": "llama3"
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| 31 |
+
},
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| 32 |
+
"tie_word_embeddings": false,
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| 33 |
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"transformers_version": "5.10.1",
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| 34 |
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"use_cache": false,
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| 35 |
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"vocab_size": 128256,
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| 36 |
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"torch_dtype": "bfloat16"
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}
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special_tokens_map.json
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{
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"bos_token": "<|begin_of_text|>",
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| 3 |
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"eos_token": "<|eot_id|>",
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"pad_token": "<|eot_id|>"
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}
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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| 3 |
+
size 17209920
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tokenizer_config.json
ADDED
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{
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"backend": "tokenizers",
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| 3 |
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"bos_token": "<|begin_of_text|>",
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| 4 |
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"clean_up_tokenization_spaces": true,
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| 5 |
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"eos_token": "<|eot_id|>",
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| 6 |
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"is_local": false,
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| 7 |
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"local_files_only": true,
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| 8 |
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"model_input_names": [
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| 9 |
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"input_ids",
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| 10 |
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"attention_mask"
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| 11 |
+
],
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| 12 |
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"model_max_length": 131072,
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| 13 |
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"pad_token": "<|eot_id|>",
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| 14 |
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"padding_side": "right",
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| 15 |
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"tokenizer_class": "TokenizersBackend"
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}
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trainer_state.json
ADDED
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