Instructions to use Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct") model = AutoModelForCausalLM.from_pretrained("Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct
- SGLang
How to use Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct with Docker Model Runner:
docker model run hf.co/Harvard-DCML/ADAPT-Olmo3-4.3B-Instruct
Add files using upload-large-folder tool
Browse files- chat_template.jinja +16 -0
- config.json +54 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +198 -0
- special_tokens_map.json +24 -0
- student_config.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +189 -0
- training_args.bin +3 -0
- vocab.json +0 -0
chat_template.jinja
ADDED
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@@ -0,0 +1,16 @@
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{%- set has_system = messages|selectattr('role', 'equalto', 'system')|list|length > 0 -%}{%- if not has_system -%}{{- '<|im_start|>system
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+
You are a helpful function-calling AI assistant. ' -}}{%- if tools is none -%}{{- 'You do not currently have access to any functions. <functions></functions><|im_end|>
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+
' -}}{%- else -%}{{- 'You are provided with function signatures within <functions></functions> XML tags. You may call one or more functions to assist with the user query. Output any function calls within <function_calls></function_calls> XML tags. Do not make assumptions about what values to plug into functions.' -}}{{- '<functions>' -}}{{- tools | tojson -}}{{- '</functions><|im_end|>
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+
' -}}{%- endif -%}{%- endif -%}{%- for message in messages -%}{%- if message['role'] == 'system' -%}{{- '<|im_start|>system
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+
' + message['content'] -}}{%- if tools is not none -%}{{- '<functions>' -}}{{- tools | tojson -}}{{- '</functions>' -}}{%- elif message.get('functions', none) is not none -%}{{- ' <functions>' + message['functions'] + '</functions>' -}}{%- endif -%}{{- '<|im_end|>
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+
' -}}{%- elif message['role'] == 'user' -%}{{- '<|im_start|>user
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' + message['content'] + '<|im_end|>
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+
' -}}{%- elif message['role'] == 'assistant' -%}{{- '<|im_start|>assistant
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+
' -}}{%- if message.get('content', none) is not none -%}{{- message['content'] -}}{%- endif -%}{%- if message.get('function_calls', none) is not none -%}{{- '<function_calls>' + message['function_calls'] + '</function_calls>' -}}{% elif message.get('tool_calls', none) is not none %}{{- '<function_calls>' -}}{%- for tool_call in message['tool_calls'] %}{%- if tool_call is mapping and tool_call.get('function', none) is not none %}{%- set args = tool_call['function']['arguments'] -%}{%- set ns = namespace(arguments_list=[]) -%}{%- for key, value in args.items() -%}{%- set ns.arguments_list = ns.arguments_list + [key ~ '=' ~ (value | tojson)] -%}{%- endfor -%}{%- set arguments = ns.arguments_list | join(', ') -%}{{- tool_call['function']['name'] + '(' + arguments + ')' -}}{%- if not loop.last -%}{{ '
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+
' }}{%- endif -%}{% else %}{{- tool_call -}}{%- endif %}{%- endfor %}{{- '</function_calls>' -}}{%- endif -%}{%- if not loop.last -%}{{- '<|im_end|>' + '
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' -}}{%- else -%}{{- eos_token -}}{%- endif -%}{%- elif message['role'] == 'environment' -%}{{- '<|im_start|>environment
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' + message['content'] + '<|im_end|>
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' -}}{%- elif message['role'] == 'tool' -%}{{- '<|im_start|>environment
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' + message['content'] + '<|im_end|>
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' -}}{%- endif -%}{%- if loop.last and add_generation_prompt -%}{{- '<|im_start|>assistant
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' -}}{%- endif -%}{%- endfor -%}
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config.json
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{
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"architectures": [
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"Olmo3ForCausalLM"
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+
],
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"attention_bias": false,
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| 6 |
+
"attention_dropout": 0.0,
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| 7 |
+
"bos_token_id": 100257,
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| 8 |
+
"dtype": "float32",
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| 9 |
+
"eos_token_id": 100257,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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| 31 |
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"sliding_attention"
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],
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| 33 |
+
"max_position_embeddings": 65536,
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| 34 |
+
"model_type": "olmo3",
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| 35 |
+
"num_attention_heads": 32,
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| 36 |
+
"num_hidden_layers": 17,
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| 37 |
+
"num_key_value_heads": 32,
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| 38 |
+
"pad_token_id": 100257,
|
| 39 |
+
"rms_norm_eps": 1e-06,
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| 40 |
+
"rope_scaling": {
|
| 41 |
+
"attention_factor": 1.2079441541679836,
|
| 42 |
+
"beta_fast": 32.0,
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| 43 |
+
"beta_slow": 1.0,
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| 44 |
+
"factor": 8.0,
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| 45 |
+
"original_max_position_embeddings": 8192,
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| 46 |
+
"rope_type": "yarn"
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| 47 |
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},
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| 48 |
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"rope_theta": 500000,
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| 49 |
+
"sliding_window": 4096,
|
| 50 |
+
"tie_word_embeddings": false,
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| 51 |
+
"transformers_version": "4.57.0",
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| 52 |
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"use_cache": false,
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| 53 |
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"vocab_size": 100278
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| 54 |
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}
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generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 100257,
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| 4 |
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"do_sample": true,
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| 5 |
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"eos_token_id": [
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| 6 |
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100265,
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| 7 |
+
100257
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| 8 |
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],
|
| 9 |
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"max_new_tokens": 32768,
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| 10 |
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"pad_token_id": 100257,
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| 11 |
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"temperature": 0.6,
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| 12 |
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"top_p": 0.95,
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| 13 |
+
"transformers_version": "4.57.0"
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| 14 |
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}
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merges.txt
ADDED
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a79f3b4620b7a6da6dbf8dd60fdec179ab73e7c0188327ce59b48a1803a32202
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size 4948333768
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 1065534464,
|
| 4 |
+
"total_size": 17048551424
|
| 5 |
+
},
|
| 6 |
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"weight_map": {
|
| 7 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 8 |
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"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
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"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
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"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
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| 12 |
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"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
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"model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
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| 14 |
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"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
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| 15 |
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"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
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| 16 |
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"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
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| 18 |
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"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
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| 19 |
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"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
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"model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
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"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
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+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
student_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
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|
|
|
|
| 1 |
+
{"init_teacher_model_name_or_path": "allenai/Olmo-3-7B-Instruct", "pruned_teacher_layers": [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29], "copied_teacher_layers": [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 31]}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,189 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"100256": {
|
| 5 |
+
"content": "<|extra_id_0|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": false
|
| 11 |
+
},
|
| 12 |
+
"100257": {
|
| 13 |
+
"content": "<|endoftext|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"100258": {
|
| 21 |
+
"content": "<|fim_prefix|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"100259": {
|
| 29 |
+
"content": "<|fim_middle|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"100260": {
|
| 37 |
+
"content": "<|fim_suffix|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"100261": {
|
| 45 |
+
"content": "|||PHONE_NUMBER|||",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": false
|
| 51 |
+
},
|
| 52 |
+
"100262": {
|
| 53 |
+
"content": "|||EMAIL_ADDRESS|||",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": false
|
| 59 |
+
},
|
| 60 |
+
"100263": {
|
| 61 |
+
"content": "|||IP_ADDRESS|||",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": false
|
| 67 |
+
},
|
| 68 |
+
"100264": {
|
| 69 |
+
"content": "<|im_start|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"100265": {
|
| 77 |
+
"content": "<|im_end|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
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|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"100266": {
|
| 85 |
+
"content": "<functions>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
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|
| 90 |
+
"special": false
|
| 91 |
+
},
|
| 92 |
+
"100267": {
|
| 93 |
+
"content": "</functions>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": false
|
| 99 |
+
},
|
| 100 |
+
"100268": {
|
| 101 |
+
"content": "<function_calls>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": false
|
| 107 |
+
},
|
| 108 |
+
"100269": {
|
| 109 |
+
"content": "</function_calls>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": false
|
| 115 |
+
},
|
| 116 |
+
"100270": {
|
| 117 |
+
"content": "<|extra_id_1|>",
|
| 118 |
+
"lstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"rstrip": false,
|
| 121 |
+
"single_word": false,
|
| 122 |
+
"special": false
|
| 123 |
+
},
|
| 124 |
+
"100271": {
|
| 125 |
+
"content": "<|extra_id_2|>",
|
| 126 |
+
"lstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"rstrip": false,
|
| 129 |
+
"single_word": false,
|
| 130 |
+
"special": false
|
| 131 |
+
},
|
| 132 |
+
"100272": {
|
| 133 |
+
"content": "<|extra_id_3|>",
|
| 134 |
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|
| 135 |
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|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": false
|
| 139 |
+
},
|
| 140 |
+
"100273": {
|
| 141 |
+
"content": "<|extra_id_4|>",
|
| 142 |
+
"lstrip": false,
|
| 143 |
+
"normalized": false,
|
| 144 |
+
"rstrip": false,
|
| 145 |
+
"single_word": false,
|
| 146 |
+
"special": false
|
| 147 |
+
},
|
| 148 |
+
"100274": {
|
| 149 |
+
"content": "<|extra_id_5|>",
|
| 150 |
+
"lstrip": false,
|
| 151 |
+
"normalized": false,
|
| 152 |
+
"rstrip": false,
|
| 153 |
+
"single_word": false,
|
| 154 |
+
"special": false
|
| 155 |
+
},
|
| 156 |
+
"100275": {
|
| 157 |
+
"content": "<|extra_id_6|>",
|
| 158 |
+
"lstrip": false,
|
| 159 |
+
"normalized": false,
|
| 160 |
+
"rstrip": false,
|
| 161 |
+
"single_word": false,
|
| 162 |
+
"special": false
|
| 163 |
+
},
|
| 164 |
+
"100276": {
|
| 165 |
+
"content": "<|endofprompt|>",
|
| 166 |
+
"lstrip": false,
|
| 167 |
+
"normalized": false,
|
| 168 |
+
"rstrip": false,
|
| 169 |
+
"single_word": false,
|
| 170 |
+
"special": true
|
| 171 |
+
},
|
| 172 |
+
"100277": {
|
| 173 |
+
"content": "<|pad|>",
|
| 174 |
+
"lstrip": false,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"rstrip": false,
|
| 177 |
+
"single_word": false,
|
| 178 |
+
"special": true
|
| 179 |
+
}
|
| 180 |
+
},
|
| 181 |
+
"bos_token": "<|endoftext|>",
|
| 182 |
+
"clean_up_tokenization_spaces": false,
|
| 183 |
+
"eos_token": "<|endoftext|>",
|
| 184 |
+
"extra_special_tokens": {},
|
| 185 |
+
"model_max_length": 65536,
|
| 186 |
+
"pad_token": "<|endoftext|>",
|
| 187 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 188 |
+
"unk_token": "<|endoftext|>"
|
| 189 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a4ff791cfaf17e4ec74aa410f629503587815edca2ff3590ac18b8aa8456cd68
|
| 3 |
+
size 7121
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|