初始化项目,由ModelHub XC社区提供模型
Model: LTS-VVE/Teuta Source: Original Platform
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57
Modelfile
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FROM /content/drive/MyDrive/fine_tuned_model_gguf/unsloth.F16.gguf
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TEMPLATE """{{ if .Messages }}
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{{- 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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You are a helpful assistant with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the original use question.
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{{- end }}
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{{- end }}<|eot_id|>
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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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{{ $.Tools }}
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{{- end }}
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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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{{- if .ToolCalls }}
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{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
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{{- else }}
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{{ .Content }}{{ 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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{{- if .System }}<|start_header_id|>system<|end_header_id|>
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{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
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{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}{{ .Response }}{{ if .Response }}<|eot_id|>{{ 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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PARAMETER stop "<|eom_id|>"
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PARAMETER temperature 1.5
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PARAMETER min_p 0.1
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68
README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- LTS-VVE/Teuta-sq
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- LTS-VVE/grammar_sq_0.1
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- LTS-VVE/linguistic_sq
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- LTS-VVE/Math-physics-dataset-sq
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- LTS-VVE/albanian-synthetic
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- noxneural/lilium_albanicum_eng_alb
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- MIND-Lab/Safety-Evaluation
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- shb777/simple-math-steps-7M
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- RishiKompelli/TherapyDataset
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- microsoft/orca-math-word-problems-200k
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- Vezora/Tested-143k-Python-Alpaca
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- AI4Chem/ChemPref-DPO-for-Chemistry-data-en
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- jkhedri/psychology-dataset
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- samhog/psychology-10k
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- Amod/mental_health_counseling_conversations
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- sayhan/strix-philosophy-qa
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- Maverfrick/Rust_dataset
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- Neloy262/rust_instruction_dataset
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- Tesslate/Rust_Dataset
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language:
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- en
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- sq
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base_model:
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- meta-llama/Llama-3.2-3B
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pipeline_tag: text-generation
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tags:
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- al
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- math
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- philosophy
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- chemistry
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- code
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- biology
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- climate
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- not-for-all-audiences
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---
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<p align="center">
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<span style="color:yellow">This model is not suitable for all audiences and may contain inappropriate or explicit content.</span>
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</p>
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/67b7476deb48853c39ca000b/CzUTg97aTxK283qwD6kEm.png" alt="Teuta Logo" />
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</p>
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# Teuta (A work in progress!)
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Teuta is a bilingual instruction-tuned language model designed for question answering in both Albanian (sq) and English (en). It is fine-tuned on a diverse mix of datasets covering subjects such as mathematics, philosophy, chemistry, biology, code (especially Rust), psychology, and climate science.
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## Model
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- **Base model**: meta-llama/Llama-3.2-3B
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- **Languages**: Albanian, English
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- **Primary task**: Instruction-following and question answering
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## Description
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Teuta is built to handle a variety of instructional prompts, from academic and scientific queries to more open-ended tasks. It is particularly suited for multilingual applications and under-resourced language support, with a strong focus on Albanian.
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The model leverages both synthetic and real datasets to improve generalization across technical and non-technical domains.
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## Considerations
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- Some datasets include sensitive content (e.g., mental health, therapy, and philosophical questions).
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- Outputs are not guaranteed to be factual or safe; use in sensitive contexts should be done with care.
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- Best suited for research, educational tools, and domain-specific applications.
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38
config.json
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}
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generation_config.json
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5
special_tokens_map.json
Normal file
5
special_tokens_map.json
Normal file
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|
||||
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|
||||
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||||
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3
tokenizer.json
Normal file
3
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|
||||
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2061
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
unsloth.F16.gguf
Normal file
3
unsloth.F16.gguf
Normal file
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|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:dd05683efd3052ab5713acdc585817c30958983746cc13c9b53bb987f67531a8
|
||||
size 6433688224
|
||||
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:d86972ea6c079ff9f0f132b2443f2d4dd077deba18e383c35796736b8be57c26
|
||||
size 2019377824
|
||||
Reference in New Issue
Block a user