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Model: rizkysulaeman/llama-3.2-3B-reasoning-en-ft-v1 Source: Original Platform
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README.md
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README.md
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---
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language: en
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license: apache-2.0
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tags:
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- llama
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- reasoning
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- fine-tuned
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- english
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- 3B
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- conversational
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- gguf
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- 4-bit
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- 5-bit
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- 8-bit
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pipeline_tag: text-generation
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library_name: transformers
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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datasets:
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- openai/gsm8k
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---
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# CALISTA-INDUSTRY/llama-3.2-3B-reasoning-en-ft-v1
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## Model Summary
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**CALISTA-INDUSTRY/llama-3.2-3B-reasoning-en-ft-v1** is a fine-tuned version of Meta's LLaMA 3 3B model, optimized for English-language reasoning tasks. This model has been adapted to enhance performance in logical reasoning, problem-solving, and conversational understanding.
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## Model Details
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- **Developed by**: Mohammad Yani & Rizky Sulaeman, Politeknik Negeri Indramayu
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- **Model type**: Decoder-only transformer (LLaMA 3 architecture)
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- **Parameter count**: 3.21 billion
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- **Quantization formats**: 4-bit (Q4_K_M), 5-bit (Q5_K_M), 8-bit (Q8_0)
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- **Training data**: [Specify datasets or data sources used]
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- **License**: Apache License 2.0
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- **Base model**: [meta-llama/Llama-3-3B](https://huggingface.co/meta-llama/Llama-3-3B)
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## Intended Uses & Limitations
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### Intended Uses
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- **Applications**:
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- Logical reasoning tasks
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- Conversational agents requiring enhanced reasoning capabilities
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- Educational tools focusing on critical thinking
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- **Users**:
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- Researchers in natural language processing
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- Developers building AI-driven applications
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- Educators and students in AI-related fields
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### Limitations
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- The model's performance may degrade on tasks outside its fine-tuned domain.
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- Not suitable for real-time applications without further optimization.
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- May produce incorrect or nonsensical answers; outputs should be verified in critical applications.
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## How to Use
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="CALISTA-INDUSTRY/llama-3.2-3B-reasoning-en-ft-v1")
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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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pipe(messages)
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```
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config.json
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config.json
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{
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"model_type": "llama"
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"eos_token_id": 128009,
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"max_length": 131072,
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"pad_token_id": 0,
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"transformers_version": "4.51.3"
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}
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modelfile_ollama_llama_grpo
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modelfile_ollama_llama_grpo
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FROM C:\Users\Rizky Sulaeman\.ollama\models\blobs\sha256-5e9bedd19374d609f5186b161c7cb32207357185d09059182a464953325c5fe4
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system """You are given a problem.
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Think about the problem and provide your working out.
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Place it between <start_working_out> and <end_working_out>.
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Then, provide your solution between <SOLUTION></SOLUTION>"""
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TEMPLATE """{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
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{{- if .System }}
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{{ .System }}
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{{- end }}
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{{- if .Tools }}
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Cutting Knowledge Date: December 2023
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When you receive a tool call response, use the output to format an answer to the orginal user question.
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You are a helpful assistant with tool calling capabilities.
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{{- end }}<|eot_id|>
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{{- end }}
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|>
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{{- if and $.Tools $last }}
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Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.
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Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
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{{ range $.Tools }}
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{{- . }}
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{{ end }}
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Question: {{ .Content }}<|eot_id|>
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{{- else }}
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{{ .Content }}<|eot_id|>
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{{- end }}{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}
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{{- else if eq .Role "assistant" }}<|start_header_id|>assistant<|end_header_id|>
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{{- if .ToolCalls }}
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{{ range .ToolCalls }}
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{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
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{{- else }}
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{{ .Content }}
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{{- end }}{{ if not $last }}<|eot_id|>{{ end }}
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{{- else if eq .Role "tool" }}<|start_header_id|>ipython<|end_header_id|>
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{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}
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{{- end }}
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{{- end }}"""
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PARAMETER stop <|start_header_id|>
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PARAMETER stop <|end_header_id|>
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PARAMETER stop <|eot_id|>
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"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.norm.weight": "pytorch_model-00002-of-00002.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|finetune_right_pad_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a65c6c5f9764771aa485e6a1f5e63d7d9af8477fe0777148c17476ecb2e09a05
|
||||||
|
size 17210099
|
||||||
2067
tokenizer_config.json
Normal file
2067
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
unsloth.Q4_K_M.gguf
Normal file
3
unsloth.Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:5e9bedd19374d609f5186b161c7cb32207357185d09059182a464953325c5fe4
|
||||||
|
size 2019377280
|
||||||
3
unsloth.Q5_K_M.gguf
Normal file
3
unsloth.Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:7da8c0b15e17e951210ef965a82a99f348d70dbf2f4970ecea7f160af52d6ec9
|
||||||
|
size 2322153600
|
||||||
3
unsloth.Q8_0.gguf
Normal file
3
unsloth.Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:93ce53c10fc86b07688fb32cd2e8a489d938073cfdc21d925d82c7b550a5a365
|
||||||
|
size 3421898880
|
||||||
Reference in New Issue
Block a user